Category: Tutorials
- views: 132
- date: 5 October 2026
- posted by: 0nelove
Generative AI Engineering: LLMs, RAG, and Agentic Systems
Last updated 1/2026
Created by Rajeev Sakhuja
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 269 Lectures ( 28h 15m ) | Size: 9.2 GB
Learn to design and implement GenAI workflows, multi-agent systems, LangChain, LangGraph, MCP, and model fine-tuning
What you'll learn
⚡ Master Generative AI foundations, how LLMs work, and how modern AI systems are designed and applied in real-world products.
⚡ Design and build end-to-end Generative AI systems using LLMs, retrieval pipelines, tools, and agentic workflows.
⚡ Implement Retrieval-Augmented Generation (RAG), embeddings, vector search, reranking, and advanced retrieval patterns.
⚡ Build AI agents, multi-step reasoning systems, and multi-agent workflows using LangChain and LangGraph.
⚡ Develop production-style applications with structured outputs, validation, memory, and human-in-the-loop workflows.
⚡ Create MCP servers and clients to connect LLMs to real tools, services, and enterprise systems.
⚡ Fine-tune and optimize models using Hugging Face workflows, dataset preparation, and quantization techniques.
⚡ Apply system-level best practices for cost, reliability, scalability, and responsible deployment of GenAI applications.
Requirements
❗ Comfortable with basic Python programming
❗ Familiarity with APIs, JSON, and software development fundamentals
❗ Ability to install tools and work in a local development environment (Windows, Mac, or Linux)
❗ No prior machine learning or data science background required
Description
Build Real-World Generative AI Systems with LLMs, RAG, and AI Agents
Go beyond prompts and chatbots. This course takes you on acomplete, progressive journey fromGenerative AI fundamentals to advanced system-level techniques.
You'll start by mastering thecore concepts of LLMs, NLP, and AI model behavior, then move intoapplying RAG pipelines, vector search, and prompting patterns. Finally, you'll tackleadvanced topics such asagentic systems, multi-agent orchestration, LangGraph workflows, MCP, and model fine-tuning.
Learn todesign and implement intelligent AI workflows and system components using multiple LLMs, LangChain, LangGraph, embeddings, and agentic reasoning—without the pressure of building full production applications.
Skip the beginner fluff—this isfor engineers, architects, and technical founders who want to understandhow modern GenAI systems are actually structured and engineered.
What You Will Learn
✨ Understand Generative AI foundations and how LLMs work, including OpenAI, Claude, Gemini, and Hugging Face models.
✨ ApplyRAG pipelines, vector search, embeddings, and structured outputs to create robust AI workflows.
✨ Learnprompting techniques, in-context learning, and fine-tuning strategies for advanced LLM behavior.
✨ Build and testagentic and multi-agent systems using LangChain and LangGraph.
✨ ExploreMCP servers and clients to integrate LLM reasoning with external tools and services.
✨ Understandsystem-level best practices for efficiency, scalability, cost, and responsible AI deployment.
Hands-On Learning
This is alearning-by-doing course, focused onframeworks, patterns, and exercises, rather than fully functional apps. You will
✨ Work withmultiple LLMs and open-source models to understand their behavior.
✨ Implementretrieval pipelines, multi-agent patterns, and workflows in hands-on exercises.
✨ ExploreLangChain, LangGraph, embeddings, vector databases, and MCP integration in manageable components.
✨ Gainpractical, reusable code snippets and exercises without the stress of shipping a full product.
Who this course is for
⭐ Software engineers and application developers who want to build real-world Generative AI, RAG, and agent-based systems.
⭐ Solution and platform architects designing LLM-powered products, workflows, and AI-first application architectures.
⭐ IT Professionals: Individuals aiming to transition into the growing field of Generative AI by gaining foundational knowledge and practical skills in AI-powered application development.
⭐ Startup builders and technical founders building AI-native products.
⭐ Professionals preparing for Generative AI Engineer, Applied AI, or Generative AI Architect roles.
Homepage
https://nitroflare.com/view/6A6D93308E07766/Generative_AI_Engineering_LLMs%2C_RAG%2C_and_Agentic_Systems.part01.rar
https://nitroflare.com/view/AE5D4073C748860/Generative_AI_Engineering_LLMs%2C_RAG%2C_and_Agentic_Systems.part02.rar
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Category: Tutorials
- views: 115
- date: 5 October 2026
- posted by: 0nelove
The Tayibat Diet: Understand Food, Digestion & the Human Bod
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 40m | Size: 725.98 MB
Learn about food, digestion, nutrition principles, and the human body through the practical framework of the Tayibat Die
What you'll learn
Understand the principles of the Tayibat Diet.
Build balanced meal plans.
Lose weight in a healthy and sustainable way.
Avoid common dieting mistakes.
Read food labels correctly.
Maintain healthy eating habits for life.
Requirements
No previous experience is required. This course is designed for beginners who want to improve their eating habits and learn the Tayibat Diet method.
Description This course contains the use of artificial intelligence
The Tayibat Diet is a structured approach to understanding food, digestion, and the relationship between what we eat and how our body functions. In this course, you will explore the principles behind the Tayibat Diet and learn how to apply its concepts to everyday food choices in a practical and understandable way.
Understand the Human Body and Apply the Principles of the Tayibat Diet
- Learn the fundamental principles behind the Tayibat Diet
- Understand how the digestive system processes different foods
- Recognize the relationship between food choices and the body's needs
- Explore practical examples of foods included in or excluded from the approach
- Develop a clearer and more structured way to evaluate your daily diet
A Practical Introduction to the Tayibat Diet and Its Approach to Food and the Human Body
This course begins by establishing a foundation in human biology and digestion before introducing the principles of the Tayibat Diet. Understanding how the body works provides an important framework for understanding why particular foods and eating practices are considered within this approach.
You will explore the role of the digestive system, how food is processed by the body, and how different types of foods can be considered according to the principles presented in the Tayibat Diet. The course uses clear explanations, visual illustrations, and practical examples to make the concepts easier to understand.
Rather than simply presenting a list of foods, the course focuses on helping you understand the reasoning and principles behind the approach. You will progressively connect the concepts of human physiology, digestion, food selection, and everyday dietary choices.
Throughout the lessons, visual content and examples are used to make complex ideas easier to follow. The course is designed to provide a structured learning experience, whether you are discovering the Tayibat Diet for the first time or looking for a clearer understanding of its underlying concepts.
By the end of the course, you will have a structured overview of the Tayibat Diet, a better understanding of the human digestive system, and a clearer framework for understanding the food choices discussed throughout the course.
Important Note About Artificial Intelligence
Artificial intelligence tools are used in the production of some audiovisual content in this course, including the creation and production of certain videos, images, and other visual or presentation elements. AI-assisted content is used as a production tool to support the educational presentation of the course material.
Who this course is for
Beginners who want to lose weight in a healthy and sustainable way.
Anyone who wants to improve their eating habits.
People interested in learning practical nutrition without complicated diets.
Busy professionals looking for simple meal-planning strategies.
Anyone who wants to build a healthier lifestyle through better nutrition.
https://nitroflare.com/view/A80192C9E180A6A/The_Tayibat_Diet_Understand_Food%2C_Digestion_%26amp%3B_the_Human_Bod.rar
https://rapidgator.net/file/20a243e8778106c939b8d2758ad4f047/The_Tayibat_Diet_Understand_Food,_Digestion_&_the_Human_Bod.rar.html
https://www.uploadcloud.pro/6mhsgh2oh9xp/The_Tayibat_Diet_Understand_Food__Digestion__amp__the_Human_Bod.rar.html
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Category: Tutorials
- views: 167
- date: 5 October 2026
- posted by: 0nelove
Visual Composition for Artists: Master Balance, Rhythm, and Color
Tania Yakunova | Duration: 1:50 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | Size: 2,30 GB | Language: English
Master the power of composition to enhance your visual storytelling, using techniques from Bauhaus, Kandinsky, and Malevich
Unleash your creativity by mastering the power of composition in visual communication. Delve into the core principles that shape compelling artwork, from understanding abstract composition to utilizing dots, lines, and shapes as foundational elements. Explore how visual weight, balance, and movement can evoke emotion and guide the viewer's eye through your creations. Engage with practical exercises that help you apply these techniques to transform your artistic vision.
Elevate your work by incorporating color and rhythm to bring your compositions to life. Learn to evoke emotions and create dynamic flow using color contrasts and rhythmic patterns. Develop your unique artistic style by refining compositional techniques and building a personal visual language. This course provides the tools to create captivating, structured compositions that effectively communicate your artistic intent. Whether you're aiming to enhance your professional portfolio or simply refine your creative skills, this journey promises to enrich your visual storytelling capabilities.
Unlock the potential of composition and elevate your creative projects with a deep dive into the fundamentals of visual communication. You'll learn how to harness the power of composition to convey emotions, dynamics, and movement, transforming your artwork into a compelling visual narrative. Explore the basics, such as format, eye movement, and the significance of black and white. Delve into the nuances of abstract composition, guiding the viewer's eye through strategic use of visual weight, balance, and symmetry. Develop a keen understanding of how to depict both static and dynamic movement, ensuring your artwork communicates your intended message with precision and impact.
Enhance your artistic expression by integrating color and rhythm. Discover how color choices influence mood and balance, while rhythm introduces flow and repetition to your compositions. Experiment with advanced techniques to create a unique visual language that reflects your personal style. By the end, you'll be equipped with the tools and confidence to craft distinctive, impactful illustrations. Whether you're creating for marketing, art, or personal projects, the skills acquired will empower you to captivate and engage your audience throu
https://nitroflare.com/view/6B33F4569DA0FAA/Visual_Composition_for_Artists_Master_Balance_Rhythm_and_Color.rar
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Category: Tutorials
- views: 141
- date: 5 October 2026
- posted by: 0nelove
Visual Communication Principles on Printed Matters
Camille Baudelaire | Duration: 1:51 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 752 MB | Language: French, SUB: English
Visual communication is an essential tool for creating effective printed materials. Discover their principles and how to apply them.
Whether it is posted on a wall, whether it appears in an invitation or on a website, graphic design has a unique strength: it is capable of making an impression. Specialist in the creation of powerful visuals, Camille Baudelaire offers you all her secrets for successful visual communication.
In this online course, you will learn the basics of graphic design. From the analysis of the specifications to the brainstorming, from the choice of colors to the typography, from the creation of the poster to the printing techniques... Everything will be explained in a clear and fun way so that you can create your own communication media. visual!
The course will begin by getting to know your teacher, Camille Baudelaire. The one who runs Atelier Baudelaire, a creative studio specializing in the cultural field, will tell you about her studies, her professional career and her main sources of inspiration.
Before getting your hands dirty, you will discover essential notions related to graphic design. Camille will talk to you about the concepts of composition, layout and the importance of knowing how to choose your typefaces. You will then move on to designing your communication project. You will first learn to read specifications and then you will draw on your own visual culture to find ideas. You will be able to develop a first proposal by taking control of the graphic design tools and focusing on the choice of colors.
The following unit will be dedicated to finalizing your poster and to its adaptation on different printed media, keeping in mind the constraints of space and readability. Camille will teach you how to repair your files for printing, paying attention to paper choice and printing techniques. She will also share crafting tips with you.
Finally, you will discover two very important elements for the success of a project: the presentation of the work to the client and the design of an estimate.
https://rapidgator.net/file/82c8e61f421c97df4ed40f4fbd3a3a8a/Visual_Communication_Principles_on_Printed_Matters.rar.html
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Category: Tutorials
- views: 149
- date: 5 October 2026
- posted by: 0nelove
AI for Job Seekers: Resumes, Interviews & Hired
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 17m | Size: 713.36 MB
Land your dream job with AI: resumes, LinkedIn, interview prep, and salary negotiation
What you'll learn
Use ChatGPT, Claude, Gemini, and Meta AI at every stage of the job hunt
Write ATS-proof resumes tailored to each posting with AI keyword matching
Rewrite resume bullets into quantified achievements that recruiters notice
Build a LinkedIn profile that ranks in recruiter searches and attracts messages
Draft tailored cover letters and follow-up sequences in minutes
Run AI mock interviews and build STAR stories with AI feedback
Answer the 20 toughest interview questions with proven frameworks
Research companies, negotiate salary with AI roleplay, and evaluate full offers
Master remote and video interviews, from setup to recovering live
Compare offers, resign gracefully, and plan your first 90 days with AI
Requirements
No technical background or coding needed.
A free account with any AI assistant (ChatGPT, Claude, Gemini, or Meta AI).
An active (or upcoming) job search to apply everything immediately.
Description
This course contains the use of artificial intelligence.
Looking for a job in 2026 is a competition — and the winners are the candidates using AI at every step. This course is your complete, plain-English playbook for using AI tools like ChatGPT, Claude, the Gemini app, and Meta AI to get hired faster: from the first resume draft to the final salary negotiation.
You'll start by understanding how hiring actually works today: applicant tracking systems, the recruiter's six-second scan, and why AI assistance is now table stakes. Then you'll build resumes that get past the robots — tailoring every application with AI, rewriting weak bullets into quantified achievements, and running a ruthless AI review checklist before you hit send.
Next, LinkedIn that recruiters actually find: keyword-rich headlines, About sections with AI-drafted stories, networking messages that get replies, and the open-to-work strategy that works. You'll master cover letters too — when they matter, how AI drafts tailored ones in minutes, and how to answer "why this company" convincingly.
The heart of the course is interview preparation. You'll research companies with AI in thirty minutes, run realistic mock interviews with AI as your tough interviewer, build STAR stories with AI feedback, master the twenty toughest questions, handle behavioral and case interviews, and learn exactly what questions YOU should ask them. Then salary negotiation: knowing your market value, AI roleplay practice, scripts for the awkward questions, and evaluating the full offer.
You'll finish ready for the modern process end to end: remote and video interviews, recovering from a bad answer live, comparing multiple offers, resigning gracefully, and a first-ninety-days plan built with AI. No technical background needed — if you can write an email, you can do everything in this course.
Who this course is for
Job seekers in any field who want an edge in a competitive market
Recent graduates entering the job market for the first time
Career changers who need to reframe their experience convincingly
Professionals returning to work after a break
Anyone with an interview coming up who wants to prepare like a pro
Homepage
https://www.udemy.com/course/ai-for-job-seekers-resumes-interviews-hired/https://rapidgator.net/file/fdd1a3e20bf34efc142b0c4b05577adf/AI_for_Job_Seekers_Resumes,_Interviews_&_Hired.rar.html
https://www.uploadcloud.pro/3tfu2ti8nypu/AI_for_Job_Seekers_Resumes__Interviews__amp__Hired.rar.html |
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Category: Tutorials
- views: 136
- date: 5 October 2026
- posted by: 0nelove
IEC 61000-3-12 Complete Guide to Harmonic Current Compliance
Published 10/2026
Created by Purankumar Gajera
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 12 Lectures ( 1h 43m ) | Size: 5.7 GB
Learn Harmonic Emission Limits, Short-Circuit Ratio, Direct Measurement, Simulation Validation & Practical Compliance As
What you'll learn
⚡ Understand the purpose, scope, and key requirements of IEC 61000-3-12 for harmonic current emissions from electrical equipment connected to public low-voltage
⚡ Explain harmonic current generation, harmonic orders, and their impact on electrical power quality.
⚡ Understand the relationship between equipment rated current, short-circuit ratio (Rsc), and applicable harmonic emission limits.
⚡ Identify and interpret harmonic current emission limits specified in IEC 61000-3-12.
Requirements
❗ This course is suitable for electrical engineers, electronics engineers, power electronics professionals, testing engineers, compliance engineers, technicians, and students who want to understand IEC 61000-3-12. No previous experience with this specific standard is required.
Description
"This course contains the use of artificial intelligence."
Are you an electrical engineer, electronics engineer, testing professional, or product compliance engineer looking to understand harmonic current emission requirements?
Welcome toIEC 61000-3-12 Explained: Harmonic Current Emissions & Compliance, a practical technical training course designed to help you understand the key concepts, requirements, and assessment approaches associated with IEC 61000-3-12.
Harmonic current emissions are an important aspect of power quality and electromagnetic compatibility (EMC). Electrical and electronic equipment can introduce harmonic currents into the supply network, potentially affecting the performance of other connected equipment.
IEC 61000-3-12 provides requirements for harmonic current emissions from equipment connected to public low-voltage systems within its scope.
In this course, you will develop a structured understanding of harmonic emission limits, short-circuit ratio, direct measurement, simulation validation, and practical compliance assessment.
What Will You Learn?
By completing this course, you will be able to
✨ Understand the purpose, scope, and fundamental concepts of IEC 61000-3-12.
✨ Understand harmonic current generation and its relevance to power quality.
✨ Explain the relationship between short-circuit ratio (Rsc) and harmonic emission limits.
✨ Interpret harmonic current emission limit tables.
✨ Understand the direct measurement approach for harmonic compliance assessment.
✨ Understand power supply requirements and measurement considerations.
✨ Explore the simulation-based validation workflow.
✨ Understand simulation accuracy requirements presented in the course.
✨ Learn about specific assessment conditions for air conditioners, heat pumps, and instantaneous water heaters.
✨ Develop a structured approach to harmonic emission compliance evaluation.
Course Topics
The course covers the important technical areas of IEC 61000-3-12, including the compliance framework, general requirements, direct measurement, power supply precision, harmonic limit assessment, impedance multiplier considerations, simulation validation, special equipment conditions, and the boundaries of the standard.
Each topic is explained in a clear and practical teaching style to help learners understand not only the terminology but also its engineering significance.
Who Should Enroll?
This course is suitable for
✨ Electrical Engineers
✨ Electronics Engineers
✨ Power Electronics Engineers
✨ EMC and Power Quality Engineers
✨ Testing and Validation Engineers
✨ Product Design and R&D Engineers
✨ Quality Assurance and Compliance Professionals
✨ Electrical Testing Laboratory Personnel
✨ Engineering Students and Fresh Graduates
Prerequisites
Basic knowledge of electrical engineering, voltage, current, frequency, and electrical circuits is helpful.
Previous experience with IEC 61000-3-12 is not required. Beginners who want to develop their understanding of harmonic emission compliance are welcome.
No special laboratory equipment or software is required to follow the course.
Why Take This Course?
Understanding a technical standard is more than memorizing requirements. Engineers need to interpret technical limits, understand assessment methods, and recognize how compliance evaluation fits into equipment design and testing.
This course provides a structured learning pathway to help you build confidence in understanding IEC 61000-3-12 and its engineering applications.
Whether you are starting your journey in EMC and power quality or strengthening your existing professional knowledge, this course will support your technical learning.
Enroll today and strengthen your understanding of harmonic current emissions and IEC 61000-3-12 compliance!
Who this course is for
⭐ This course is suitable for both beginners and working professionals. Basic electrical engineering knowledge is helpful, but previous experience with IEC 61000-3-12 is not required. By the end of the course, learners will have a structured understanding of the standard and how its harmonic emission assessment methods can be applied in engineering and product compliance activities.
Homepage
https://rapidgator.net/file/f4846041dc2af5de3a2be551c3916d57/IEC_61000-3-12_Complete_Guide_to_Harmonic_Current_Compliance.part1.rar.html
https://rapidgator.net/file/ac839d0b42b02f811dcfa29008fb1180/IEC_61000-3-12_Complete_Guide_to_Harmonic_Current_Compliance.part2.rar.html
https://rapidgator.net/file/080adb2fb954656d789a1c7a4cde839d/IEC_61000-3-12_Complete_Guide_to_Harmonic_Current_Compliance.part3.rar.html
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https://rapidgator.net/file/fea5663b6fcf7d893c0ae0fdc8c5cbb6/IEC_61000-3-12_Complete_Guide_to_Harmonic_Current_Compliance.part5.rar.html
https://rapidgator.net/file/7824016fe26ae49abce458d06e23187f/IEC_61000-3-12_Complete_Guide_to_Harmonic_Current_Compliance.part6.rar.html
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Category: Tutorials
- views: 144
- date: 5 October 2026
- posted by: 0nelove
Practical course for Induction Motors
Published 10/2026
Created by Ali Hussein Ashraf
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 35 Lectures ( 6h 51m ) | Size: 3.1 GB
Motor structure and Motor maintenance
What you'll learn
⚡ Identify the main parts of a three-phase induction motor, including the stator, rotor, frame, bearings, fan, and terminal box
⚡ Identify the main parts of a three-phase induction motor, including the stator, rotor, frame, bearings, fan, and terminal box
⚡ Distinguish between squirrel-cage and wound-rotor induction motors and their construction differences
⚡ Understand in simple terms how an induction motor starts and runs, including the rotating magnetic field and why the rotor turns
⚡ Perform routine maintenance on an induction motor, including cleaning, lubrication, and bearing and cooling system checks
⚡ Spot common warning signs of motor problems, such as unusual noise, vibration, and overheating, and know when to take action
Requirements
❗ No prior knowledge of induction motors is needed. The course starts from the basics
❗ Basic understanding of electricity (what voltage and current mean) is helpful
Description
Induction motors run pumps, fans, compressors, conveyors, and machines in almost every factory and building. But if you have ever opened one up and wondered what each part does, or why it matters, this course is for you.
This course is built around the motor itself. Instead of heavy equations, we take the motor apart piece by piece and explain what each component is, what it is made of, and what job it does. By the end, you will be able to look at any induction motor and know what you are seeing.
What the course covers
1. Motor components (the main focus)
We go through the stator, rotor, frame, end shields, bearings, cooling fan, shaft, windings, terminal box, and more. For each part, you learn its purpose and how it fits with the rest of the motor. We also compare squirrel-cage and wound-rotor construction.
2. How the motor works
A short, simple theory section explains the rotating magnetic field and why the rotor turns, with no complicated math.
3. Motor maintenance
You learn practical, routine maintenance: cleaning, lubrication, checking bearings and cooling, and spotting early warning signs like noise, vibration, and overheating.
What this course does not cover
Motor performance including voltage ,current , torque , load , speed and speed control
Who this course is for
⭐ Beginners who want to understand what is inside an induction motor and what each part does
⭐ Maintenance technicians and apprentices who work with electric motors and want to carry out routine upkeep with confidence
⭐ Electrical and mechanical engineering students who want a practical view of motor construction to go with their theory classes
⭐ Plant operators and factory workers who use motors every day and want to recognize their parts and spot early warning signs
⭐ Anyone curious about how electric motors are built and how to look after them
https://rapidgator.net/file/b13ddcc5141abd70f527e5e36799ba37/Practical_course_for_Induction_Motors.part1.rar.html
https://rapidgator.net/file/357167223bc29cf2e5161052644a93e6/Practical_course_for_Induction_Motors.part2.rar.html
https://rapidgator.net/file/a4fda1c8388c08a29a11aeec3f820bbc/Practical_course_for_Induction_Motors.part3.rar.html
https://rapidgator.net/file/8f73b74bd41dc8d2eb893e816e6b11a1/Practical_course_for_Induction_Motors.part4.rar.html
https://www.uploadcloud.pro/ytjpi1q8bgch/Practical_course_for_Induction_Motors.part1.rar.html
https://www.uploadcloud.pro/lty2ooj940ex/Practical_course_for_Induction_Motors.part2.rar.html
https://www.uploadcloud.pro/jvyakbogj88s/Practical_course_for_Induction_Motors.part3.rar.html
https://www.uploadcloud.pro/83pyfalr160i/Practical_course_for_Induction_Motors.part4.rar.html |
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Category: Tutorials
- views: 257
- date: 5 October 2026
- posted by: 0nelove
Build Your Own ChatGPT: LLM & Transformers From Scratch
Published 10/2026
Created by Vaibhav Kumar Singh
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English + subtitle | Duration: 16 Lectures ( 1h 1m ) | Size: 1.1 GB
Learn tokenization, attention, and transformers in Python and PyTorch, then train and chat with your own GPT model
What you'll learn
⚡ Build a GPT-style large language model from scratch in Python and PyTorch, without ready-made transformer layers
⚡ Explain self-attention, Query/Key/Value, the causal mask and multi-head attention with clear visual intuition
⚡ Code tokenization (character-level and Byte-Pair Encoding), embeddings and positional encoding by hand
⚡ Implement a complete transformer block with layer normalisation, residual connections and a feed-forward network
⚡ Train a transformer on a laptop CPU and read loss curves to diagnose learning and overfitting
⚡ Generate text with temperature, top-k and top-p sampling, and visualise next-token probabilities and attention
⚡ Build an interactive AI playground web app with Gradio to demo your own language model
⚡ Explain how GPT, ChatGPT, BERT and the original Transformer relate, including pre-training, fine-tuning and RLHF
⚡ Answer common transformer interview questions with confidence
Requirements
❗ Basic Python programming (functions, classes, lists, loops)
❗ A computer with Python 3.9 or newer. No GPU required
❗ No prior deep learning or advanced maths needed. Every concept is explained visually first
Description
This course contains the use of artificial intelligence.Ever wondered what really happens inside ChatGPT? In this course, you'll find out by building one yourself.
Build Your Own ChatGPT takes you from zero to a working GPT-style language model, written in Python. No black boxes and no shortcuts. You'll write every line and understand why it works.
What you'll build, step by step
✨A tokenizer: use byte-pair encoding to turn raw text into tokens and numbers
✨Embeddings: represent tokens as vectors the model can learn from
✨Self-attention: queries, keys, values, causal masking and multi-head attention
✨The transformer: feed-forward layers, residual connections and layer normalization
✨Training: train your model on real text and watch the loss fall
✨Text generation: sample from your model and chat with your own GPT
Every concept is explained visually first and then coded from scratch, so the math becomes clear and the code makes sense.
Who this course is for
⭐ Python developers who want to understand how ChatGPT and large language models really work
⭐ Students and data scientists moving into Generative AI and deep learning
⭐ Software engineers preparing for machine learning or AI engineering interviews
⭐ Professionals who use LLM tools or APIs and want to see what happens inside the black box
⭐ Educators and tech leads who need to explain transformers clearly to their teams
https://rapidgator.net/file/ba7f3b705d8ea5bbfe6f6bf6237f8a92/Build_Your_Own_ChatGPT_LLM_&_Transformers_From_Scratch.part1.rar.html
https://rapidgator.net/file/e58e311b4c769020e78a866c5156cf8d/Build_Your_Own_ChatGPT_LLM_&_Transformers_From_Scratch.part2.rar.html
https://www.uploadcloud.pro/vqipdm25zwb8/Build_Your_Own_ChatGPT_LLM__amp__Transformers_From_Scratch.part1.rar.html
https://www.uploadcloud.pro/bl18frqhdm2t/Build_Your_Own_ChatGPT_LLM__amp__Transformers_From_Scratch.part2.rar.html |
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Category: Tutorials
- views: 116
- date: 5 October 2026
- posted by: 0nelove
Arduino & ESP32 Reliability Engineering: Debug & Recover
Published 10/2026
Created by Educational Engineering Team
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 58 Lectures ( 4h 2m ) | Size: 884.7 MB
Diagnose resets, power faults, communication failures, watchdogs, and recovery to build robust embedded systems.
What you'll learn
⚡ Diagnose unexpected Arduino and ESP32 resets by separating brownouts, watchdog events, software faults, external resets, and intentional restarts.
⚡ Investigate brownouts, load transients, power-path impedance, regulators, decoupling, grounding, and inductive-load disturbances using evidence, not guesswork.
⚡ Debug I2C, SPI, UART, and Wi-Fi failures from the physical layer upward using wiring, waveform, configuration, driver-status, timeout, and protocol evidence.
⚡ Design non-blocking communication and reconnect behavior using explicit states, bounded timeouts, retries, backoff, queue policies, and recovery validation.
⚡ Identify firmware reliability problems from blocking code, memory pressure, stack limits, buffer and queue overflow, long-running behavior, and timing chains.
⚡ Recognize race conditions, inconsistent snapshots, lost updates, ISR/task sharing issues, and shared-peripheral ownership problems.
⚡ Design watchdog supervision around meaningful system progress instead of blindly feeding the watchdog on a timer.
⚡ Build layered recovery strategies using retry, reinitialization, subsystem reset, degraded mode, safe state, and controlled system reset.
⚡ Add observability through structured events, reset reasons, error counters, health metrics, last-event recording, and persistent fault context.
⚡ Build a repeatable fault-injection and long-duration reliability test plan and issue an evidence-based PASS, CONDITIONAL PASS, or BLOCK engineering verdict.
Requirements
❗ Basic Arduino-style C/C++ or embedded C/C++ programming experience.
❗ Experience building at least one project with Arduino, ESP32, STM32, PIC, Raspberry Pi Pico, or another microcontroller platform.
❗ Basic electronics knowledge such as voltage, current, digital I/O, sensors, and serial communication.
❗ No formal reliability-engineering background is required.
❗ Hardware is useful for the practical exercises but is not mandatory for understanding the engineering methods. An ESP32 or Arduino-compatible board, common sensors, a relay module, and a multimeter are helpful. An oscilloscope or logic analyzer is optional.
Description
This course contains the use of artificial intelligence.
A project that works for five minutes on your desk is not automatically a reliable embedded system.
Real products experience voltage dips, Wi-Fi outages, stuck communication buses, stale sensor data, blocking code, queue pressure, memory problems, race conditions, watchdog resets, corrupted configuration, and failures that appear only after hours or days of operation.
This course teaches you how to design for those situations deliberately.
Instead of treating reliability as a vague idea, you will learn a practical engineering workflow for defining failure behavior, collecting evidence, finding root causes, containing faults, recovering the smallest failed subsystem, and proving that the fix actually works.
Throughout the course, you will follow one recurring ESP32-based Industrial Equipment Reliability Monitor. The system reads sensors, controls an output, raises local alarms, stores events, communicates over Wi-Fi, and gradually encounters realistic reliability problems. You will investigate the same kinds of failures that make real Arduino and ESP32 projects frustrating in the field.
You will learn how to distinguish a brownout from a software crash, measure fast power transients correctly, debug I2C, SPI, and UART from the wire upward, design non-blocking Wi-Fi recovery, manage timeouts and retries, detect memory and stack problems, control queue overflow, prevent race conditions, design meaningful watchdog supervision, build safe and degraded modes, preserve failure evidence across resets, and create fault-injection tests that deliberately challenge your system.
The course is built around engineering decisions, not memorizing library functions. You will repeatedly answer questions such as: What can fail? How will I detect it? What must keep working? What is the smallest useful recovery? What evidence proves recovery succeeded?
By the final reliability lab, you will combine everything into a Reliability Engineering Dossier and make an evidence-based PASS, CONDITIONAL PASS, or BLOCK decision for the system.
This course is designed for learners who already know how to build microcontroller projects and now want to make those projects robust enough to trust.
Who this course is for
⭐ Arduino and ESP32 makers whose projects work on the bench but become unreliable during long-running or real-world operation.
⭐ Engineering students and junior embedded developers who want to move from project building into professional failure-aware firmware and hardware design.
⭐ Developers dealing with random resets, brownouts, stuck buses, Wi-Fi reconnect problems, stale sensor data, watchdog loops, queue overflow, or intermittent bugs.
⭐ Embedded, mechatronics, electronics, and IoT engineers who want a practical method for diagnosing and recovering from faults.
⭐ Learners who already know how to make a microcontroller project work and now want to make it robust, observable, recoverable, and testable.
https://rapidgator.net/file/7cfdf48304a0135d2eaa30516dfd68ef/Arduino_&_ESP32_Reliability_Engineering_Debug_&_Recover.rar.html
https://www.uploadcloud.pro/v0c1fwbdaxoi/Arduino__amp__ESP32_Reliability_Engineering_Debug__amp__Recover.rar.html
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Category: Tutorials
- views: 85
- date: 4 October 2026
- posted by: 0nelove
17 Must-Know LeetCode Problems for Coding Interviews
Published 10/2026
Created by Code Solve Execute
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 18 Lectures ( 2h 49m ) | Size: 1.2 GB
Master 17 essential LeetCode problems and learn the most important coding patterns for technical interviews using Java,
What you'll learn
⚡ Solve 17 carefully selected LeetCode interview problems using Java
⚡ Understand common coding interview patterns
⚡ Apply the Two Pointer technique
⚡ Use HashMap and HashSet effectively
⚡ Solve interval and matrix problems
⚡ Understand DFS and BFS for grid problems
⚡ Build recursive solutions using Backtracking
⚡ Understand the fundamentals of Dynamic Programming
⚡ Analyze time and space complexity
⚡ Learn how to approach unfamiliar coding problems during interviews
Requirements
❗ Basic Java programming knowledge
❗ Basic understanding of arrays, strings and loops
❗ Basic knowledge of Java methods and collections is recommended
❗ No prior LeetCode experience is required
Description
Master the coding patterns behind 17 essential LeetCode problems commonly used in technical interviews.
In this course, you will solve17 carefully selected coding problems using Java, starting with fundamental techniques and gradually moving toward more advanced problem-solving patterns.
Instead of simply memorizing solutions, you will learnhow to think about a problem, identify the right pattern, build an efficient solution, and analyze its time and space complexity.
Throughout the course, you will work with important interview concepts including
✨ Two Pointer Technique
✨ HashMap & HashSet
✨ Greedy Algorithms
✨ String Manipulation
✨ Sorting & Intervals
✨ Matrix Problems
✨ DFS & BFS
✨ Backtracking
✨ Dynamic Programming
✨ Time & Space Complexity
Each problem is explained step-by-step with aproblem walkthrough, approach, dry run, Java implementation, test cases, complexity analysis, and interview takeaway.
By the end of this course, you will be able to
✨ Recognize common patterns in coding interview problems
✨ Approach unfamiliar LeetCode problems with a structured method
✨ Write optimized Java solutions
✨ Understand when to use Two Pointers, Hashing, DFS/BFS, Backtracking and Dynamic Programming
✨ Analyze the time and space complexity of your solutions
✨ Build a stronger foundation for technical coding interviews
This course is designed for Java developers, students, and software engineers who want a focused and practical introduction to the most important coding interview patterns through 17 carefully selected problems.
Who this course is for
⭐ Java developers preparing for coding interviews
⭐ Students preparing for technical interviews
⭐ Beginners starting their LeetCode journey
⭐ Software developers who want to improve problem-solving skills
⭐ Anyone looking for a focused set of essential coding interview problems
https://rapidgator.net/file/2b5296c8c9a18212a61482b8ee9dbb7b/17_Must-Know_LeetCode_Problems_for_Coding_Interviews.part1.rar.html
https://rapidgator.net/file/7fa0c278074aca4daabddeacebdae511/17_Must-Know_LeetCode_Problems_for_Coding_Interviews.part2.rar.html
https://www.uploadcloud.pro/3p5cuc6f6wmp/17_Must-Know_LeetCode_Problems_for_Coding_Interviews.part1.rar.html
https://www.uploadcloud.pro/ft7z48rdnune/17_Must-Know_LeetCode_Problems_for_Coding_Interviews.part2.rar.html |
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Category: Tutorials
- views: 139
- date: 4 October 2026
- posted by: 0nelove
AI Agents Engineering with Google ADK, RAG & MCP
Published 10/2026
Created by Ramesh Karimi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 82 Lectures ( 4h 12m ) | Size: 3.8 GB
Build AI agents with Google ADK, RAG, MCP & LangChain through hands-on projects, multi-agent systems and deployment
What you'll learn
⚡ Build AI agents with Python using Google ADK, tools, memory, and real-world agent patterns.
⚡ Apply sequential, hierarchical, routing, multi-agent, and autonomous agent patterns to practical problems.
⚡ Build RAG applications that use embeddings, vector databases, retrieval, and your own documents.
⚡ Use MCP to connect AI agents with external tools and understand the client-server architecture.
⚡ Build and deploy a complete multi-agent AI application using a spec-driven development workflow.
⚡ Apply prompt and context engineering, guardrails, debugging, and practical techniques for building reliable AI agents.
Requirements
❗ Basic Python knowledge such as variables, functions, and loops is recommended.
❗ No prior AI or Machine Learning experience is required.
❗ A Windows or Mac computer is required to follow the hands-on coding exercises.
❗ A free Google account is required to create a Gemini API key.
❗ Be ready to code along and build the projects step by step.
Description
Build practical AI agents and learn the engineering concepts behind modern agentic applications.
Build and Deploy AI Agents Using Modern Agent Engineering Techniques
In this hands-on course, you will learn how to build AI agents with Python and Google ADK, connect agents to tools and memory, work with RAG and MCP, and build multi-agent applications from the ground up.
You will start with the fundamentals of AI agents and learn how the agent loop works, how tools are used, and how different agent patterns can solve different types of problems. You will then build five important patterns: sequential, hierarchical, routing, multi-agent, and autonomous agents.
From there, you will work with Google ADK and build a practical StudyBuddy application. You will learn how to give an agent tools, add session memory, debug agent behavior, and understand how an agent SDK can simplify development.
The course also covers prompt engineering and context engineering, including few-shot prompting, structured outputs, prompt injection concepts, and techniques for providing better context to agents.
You will then learn LangChain fundamentals and move into Retrieval-Augmented Generation (RAG). You will understand embeddings, similarity search, vector databases, chunking, retrievers, and how to build a complete RAG application using your own documents.
Next, you will learn Model Context Protocol (MCP), including MCP clients and servers, the handshake process, tools, and how to connect an MCP server to an AI agent.
You will also learn how to deploy AI applications, work with secrets, add basic guardrails, and troubleshoot common problems during development and deployment.
Finally, you will buildResolveAI, the course's flagship capstone project. This multi-agent application is developed using a spec-driven workflow and deployed to Google Cloud, giving you an opportunity to bring together concepts from across the course.
The course also includes quizzes, complete source code, practical exercises, and an Interview Mastery module with AI-agent interview questions and answers.
By the end of the course, you will have practical experience building AI agents, RAG applications, MCP integrations, and multi-agent systems—and you will have a complete project that brings these concepts together.
This course is designed for learners who have basic Python knowledge and want to move into practical AI agent development. You do not need previous AI or Machine Learning experience.
Who this course is for
⭐ Software engineering students who want to learn practical AI agent development with Python.
⭐ Python developers who want to build applications using Google ADK, RAG, MCP, and multi-agent systems.
⭐ Software developers transitioning into AI engineering and looking for hands-on agent development experience.
⭐ Beginners with basic Python knowledge who want to build and deploy real AI agent projects.
https://rapidgator.net/file/10714e54e59e2f9b3faa3b1cb00dfb34/AI_Agents_Engineering_with_Google_ADK,_RAG_&_MCP.part1.rar.html
https://rapidgator.net/file/f025b8750f8f71cda0f5f3b298db6405/AI_Agents_Engineering_with_Google_ADK,_RAG_&_MCP.part2.rar.html
https://rapidgator.net/file/45de3151d11a4dd4b3721238fadbb2d0/AI_Agents_Engineering_with_Google_ADK,_RAG_&_MCP.part3.rar.html
https://rapidgator.net/file/fa191af1f9b8284d36e13800ab4df616/AI_Agents_Engineering_with_Google_ADK,_RAG_&_MCP.part4.rar.html
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https://www.uploadcloud.pro/utm08vz0lf4w/AI_Agents_Engineering_with_Google_ADK__RAG__amp__MCP.part4.rar.html |
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Category: Tutorials
- views: 107
- date: 4 October 2026
- posted by: 0nelove
AI Automation &; Vibe Coding: Build Real Tools Without Code
Published 10/2026
Created by David LL.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 3h 8m ) | Size: 728 MB
Automate your work and build real apps with AI — no coding experience needed
What you'll learn
⚡ Build reliable automations in n8n: triggers, nodes, workflows, scheduling, and monitoring
⚡ Connect Gmail, Google Sheets, Calendar, and hundreds of other apps into hands-free workflows
⚡ Add error handling and testing so your automations survive the real world
⚡ Vibe code working web apps with Lovable and Replit from plain-English descriptions
⚡ Use GitHub Copilot and Cursor to guide, read, and extend AI-generated code
⚡ Grow a tiny HTML snippet into a full mini-app through step-by-step AI prompting
⚡ Add ChatGPT, Claude, Gemini, and Meta AI steps to any workflow
⚡ Design automation-grade prompts that return reliable structured JSON output
⚡ Chain prompts, add human-in-the-loop approvals, and control AI costs and rate limits
⚡ Use APIs and webhooks without code to connect anything to anything
Requirements
❗ A computer with a web browser and internet connection — no programming experience required.
❗ Free accounts on n8n, Lovable, and Replit (all covered step by step in the course).
❗ Curiosity and a few repetitive tasks you would love to never do manually again.
Description
This course contains the use of artificial intelligence.
Stop doing repetitive work by hand. In this course you will learn to automate your workday with n8n, the AI-native automation platform, and to build real working apps by simply describing them — no coding experience needed.
We start with your first automation: triggers, nodes, and workflows in n8n, connecting Gmail, Google Sheets, and Calendar, then hardening your workflows with error handling, scheduling, and monitoring. Next comes vibe coding: you will tour Lovable, Replit, Cursor, and GitHub Copilot, ship your first AI-built web app, and learn a repeatable workflow for growing a tiny HTML snippet step by step into a full working mini-app.
Then we put the two skills together. You will build inbox triage, meeting-notes-to-action-items, calendar bots, spreadsheet automation, report pipelines, and content repurposing flows. You will add AI steps using ChatGPT, Claude, Gemini, and Meta AI, design reliable prompts that return clean JSON, chain prompts for multi-step tasks, add human-in-the-loop approvals, and control costs and rate limits. A plain-English tour of APIs and webhooks lets you connect apps with no native integration, parse data between steps, build a Telegram alert bot, and ship a lead-capture-to-CRM pipeline.
Finally you will vibe-code real mini-apps: dashboards, quote calculators, booking widgets, database-backed tools, and login-protected pages — then test, monitor, and launch with confidence, plus a 30-day roadmap to keep you sharp as tools evolve.
Every lecture is hands-on and beginner-friendly. You watch a real build, then build along: pause, do the step, resume. There is no theory for theory's sake — each concept lands inside a working automation or app you can use the same day. By the final section you will have a personal library of automations running quietly in the background and at least one deployed app with your name on it, plus the prompting skills to keep building long after the course ends.
Who this course is for
⭐ Professionals drowning in repetitive digital busywork who want their time back
⭐ Freelancers and small business owners who need custom tools without hiring developers
⭐ Complete beginners curious about AI automation and vibe coding
⭐ Anyone who has tried Zapier or Make and wants the more powerful, AI-native n8n approach
⭐ Students and career changers looking for a practical, in-demand skill set for 2026 and beyond
Homepage
https://rapidgator.net/file/5ec98a50b7cfc04e53e6c8205396e884/AI_Automation_&_Vibe_Coding_Build_Real_Tools_Without_Code.rar.html
https://www.uploadcloud.pro/4p5yilzyw85w/AI_Automation__amp__Vibe_Coding_Build_Real_Tools_Without_Code.rar.html |
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Category: Tutorials
- views: 51
- date: 4 October 2026
- posted by: 0nelove
IEC 61000-3-3: Voltage Fluctuation & Flicker with Compliance
Published 10/2026
Created by Purankumar Gajera
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 2h 59m ) | Size: 7.4 GB
Learn Voltage Fluctuation, Flicker Assessment, Pst/Plt Measurement Concepts, and EMC Compliance Requirements for Electric
What you'll learn
⚡ Understand the fundamentals of IEC 61000-3-3 and explain its scope, purpose, and application to voltage changes, voltage fluctuations, and flicker in LV
⚡ Identify the key technical requirements of IEC 61000-3-3 and understand the applicable limits and assessment principles for electrical and electronic equipment.
⚡ Understand short-term flicker severity (Pst) and long-term flicker severity (Plt) and explain their significance in evaluating voltage fluctuation performance.
⚡ Understand the principles of flickermeter operation and measurement and recognize the importance of voltage fluctuation and flicker evaluation in EMC testing.
Requirements
❗ No prior experience with IEC 61000-3-3, flicker testing, or EMC laboratory equipment is required. This course is designed to introduce the fundamental concepts progressively, making it suitable for students, fresh graduates, electrical engineers, EMC test engineers, laboratory professionals, product designers, and quality or compliance engineers.
Description
"This course contains the use of artificial intelligence."
Understand Voltage Changes, Flicker Measurement Concepts, Pst/Plt, and EMC Compliance Requirements for Electrical Equipment.
Are you interested in understanding Power Quality, Voltage Fluctuations, Flicker Assessment, and International EMC Standards?
Welcome to this specialized technical training course onIEC 61000-3-3 – Limits for Voltage Changes, Voltage Fluctuations and Flicker in Public Low-Voltage Supply Systems.
Voltage fluctuations and flicker are important power quality concerns that can affect electrical supply performance and the operation of connected equipment. Understanding the applicable assessment principles is essential for electrical engineers, EMC test engineers, product designers, testing laboratories, and compliance professionals.
This course is designed to introduce the fundamental concepts of IEC 61000-3-3 in a clear, structured, and learner-friendly manner.
Whether you are an engineering student, fresh graduate, working professional, or someone entering the field of EMC testing, this course will help you build a foundation in voltage fluctuation and flicker assessment.
What Will You Learn?
Throughout this course, you will explore
✨ Introduction to IEC 61000-3-3 and its scope.
✨ Fundamentals of Power Quality and Electromagnetic Compatibility (EMC).
✨ Understanding voltage changes and voltage fluctuations.
✨ Fundamentals of flicker and its impact on electrical supply quality.
✨ Short-term flicker severity (Pst) and long-term flicker severity (Plt).
✨ Basic principles of flickermeter operation and measurement.
✨ Understanding relevant technical parameters and assessment concepts.
✨ Introduction to voltage fluctuation and flicker compliance requirements.
✨ Application of IEC 61000-3-3 in electrical and electronic product testing.
✨ Importance of EMC testing and product compliance.
Who Should Enroll?
This course is particularly useful for
✨ Electrical and Electronics Engineering Students.
✨ Electrical and Electronics Engineers.
✨ EMC Test Engineers and Laboratory Professionals.
✨ Product Design and Development Engineers.
✨ Testing and Certification Professionals.
✨ Quality Assurance and Compliance Engineers.
✨ Fresh Graduates and Beginners.
✨ Professionals working in electrical and electronics industries.
Why Take This Course?
IEC standards are important references in electrical product development, testing, and compliance activities.
By learning the fundamentals of IEC 61000-3-3, you can improve your technical understanding of voltage fluctuations, flicker assessment, and EMC-related requirements.
This course focuses on making technical concepts easier to understand and providing a foundation for further learning and professional development.
Prerequisites
No advanced technical background is required.
Basic knowledge of electrical engineering is helpful, but beginners are welcome. No previous experience with flicker testing or specialized EMC laboratory equipment is necessary.
Start Your Learning Journey Today!
Enhance your understanding of Power Quality, Voltage Fluctuations, Flicker Assessment, and IEC Standards.
Enroll today and take the next step toward developing your technical expertise in EMC Testing and Electrical Product Compliance.
Learn. Understand. Apply. Grow.
Who this course is for
⭐ This course is ideal for learners who want to understand the fundamentals of IEC 61000-3-3, improve their technical knowledge of flicker assessment, and develop confidence in discussing electrical product compliance requirements.
https://rapidgator.net/file/6d5f738f790ba8f9916dc55ff5fde9b5/IEC_61000-3-7_Planning_Levels,_Emission_Limit_&_Fluctuation.part1.rar.html
https://rapidgator.net/file/9e3bef0ba5803e6c929ff1f8465aaa8b/IEC_61000-3-7_Planning_Levels,_Emission_Limit_&_Fluctuation.part2.rar.html
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Category: Tutorials
- views: 130
- date: 4 October 2026
- posted by: 0nelove
IEC 61000-3-3: Voltage Fluctuation & Flicker with Compliance
Published 10/2026
Created by Purankumar Gajera
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 2h 59m ) | Size: 7.4 GB
Learn Voltage Fluctuation, Flicker Assessment, Pst/Plt Measurement Concepts, and EMC Compliance Requirements for Electric
What you'll learn
⚡ Understand the fundamentals of IEC 61000-3-3 and explain its scope, purpose, and application to voltage changes, voltage fluctuations, and flicker in LV
⚡ Identify the key technical requirements of IEC 61000-3-3 and understand the applicable limits and assessment principles for electrical and electronic equipment.
⚡ Understand short-term flicker severity (Pst) and long-term flicker severity (Plt) and explain their significance in evaluating voltage fluctuation performance.
⚡ Understand the principles of flickermeter operation and measurement and recognize the importance of voltage fluctuation and flicker evaluation in EMC testing.
Requirements
❗ No prior experience with IEC 61000-3-3, flicker testing, or EMC laboratory equipment is required. This course is designed to introduce the fundamental concepts progressively, making it suitable for students, fresh graduates, electrical engineers, EMC test engineers, laboratory professionals, product designers, and quality or compliance engineers.
Description
"This course contains the use of artificial intelligence."
Understand Voltage Changes, Flicker Measurement Concepts, Pst/Plt, and EMC Compliance Requirements for Electrical Equipment.
Are you interested in understanding Power Quality, Voltage Fluctuations, Flicker Assessment, and International EMC Standards?
Welcome to this specialized technical training course onIEC 61000-3-3 – Limits for Voltage Changes, Voltage Fluctuations and Flicker in Public Low-Voltage Supply Systems.
Voltage fluctuations and flicker are important power quality concerns that can affect electrical supply performance and the operation of connected equipment. Understanding the applicable assessment principles is essential for electrical engineers, EMC test engineers, product designers, testing laboratories, and compliance professionals.
This course is designed to introduce the fundamental concepts of IEC 61000-3-3 in a clear, structured, and learner-friendly manner.
Whether you are an engineering student, fresh graduate, working professional, or someone entering the field of EMC testing, this course will help you build a foundation in voltage fluctuation and flicker assessment.
What Will You Learn?
Throughout this course, you will explore
✨ Introduction to IEC 61000-3-3 and its scope.
✨ Fundamentals of Power Quality and Electromagnetic Compatibility (EMC).
✨ Understanding voltage changes and voltage fluctuations.
✨ Fundamentals of flicker and its impact on electrical supply quality.
✨ Short-term flicker severity (Pst) and long-term flicker severity (Plt).
✨ Basic principles of flickermeter operation and measurement.
✨ Understanding relevant technical parameters and assessment concepts.
✨ Introduction to voltage fluctuation and flicker compliance requirements.
✨ Application of IEC 61000-3-3 in electrical and electronic product testing.
✨ Importance of EMC testing and product compliance.
Who Should Enroll?
This course is particularly useful for
✨ Electrical and Electronics Engineering Students.
✨ Electrical and Electronics Engineers.
✨ EMC Test Engineers and Laboratory Professionals.
✨ Product Design and Development Engineers.
✨ Testing and Certification Professionals.
✨ Quality Assurance and Compliance Engineers.
✨ Fresh Graduates and Beginners.
✨ Professionals working in electrical and electronics industries.
Why Take This Course?
IEC standards are important references in electrical product development, testing, and compliance activities.
By learning the fundamentals of IEC 61000-3-3, you can improve your technical understanding of voltage fluctuations, flicker assessment, and EMC-related requirements.
This course focuses on making technical concepts easier to understand and providing a foundation for further learning and professional development.
Prerequisites
No advanced technical background is required.
Basic knowledge of electrical engineering is helpful, but beginners are welcome. No previous experience with flicker testing or specialized EMC laboratory equipment is necessary.
Start Your Learning Journey Today!
Enhance your understanding of Power Quality, Voltage Fluctuations, Flicker Assessment, and IEC Standards.
Enroll today and take the next step toward developing your technical expertise in EMC Testing and Electrical Product Compliance.
Learn. Understand. Apply. Grow.
Who this course is for
⭐ This course is ideal for learners who want to understand the fundamentals of IEC 61000-3-3, improve their technical knowledge of flicker assessment, and develop confidence in discussing electrical product compliance requirements.
https://rapidgator.net/file/209e715cf4f70d5ce94cfe7ccb3ba148/IEC_61000-3-3_Voltage_Fluctuation_&_Flicker_with_Compliance.part1.rar.html
https://rapidgator.net/file/71606d746baad1ff5a66dac4ef6c6f3a/IEC_61000-3-3_Voltage_Fluctuation_&_Flicker_with_Compliance.part2.rar.html
https://rapidgator.net/file/2f72931582e889092f941c71d8826e79/IEC_61000-3-3_Voltage_Fluctuation_&_Flicker_with_Compliance.part3.rar.html
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Category: Tutorials
- views: 151
- date: 4 October 2026
- posted by: 0nelove
Hybrid AI UI/UX Development with AI Coding Tools
Published 10/2026
Created by Kannan Madhesan
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 13 Lectures ( 2h 31m ) | Size: 2.9 GB
Design, Prototype & Build Modern AI-Powered UI/UX Using AI Coding and No-Code Development Tools
What you'll learn
⚡ Understand the complete AI-assisted UI development workflow.
⚡ Analyze software requirements using ChatGPT.
⚡ Create functional specifications and technical documentation.
⚡ Prepare UI specifications using Markdown.
⚡ Generate architecture and UI design documents.
⚡ Create user flow and application architecture diagrams.
⚡ Organize enterprise project folder structures.
⚡ Use Claude to build responsive user interfaces.
⚡ Refine and improve AI-generated frontend code.
⚡ Build multi-page AI applications.
⚡ Build production-ready AI-powered web interfaces.
Requirements
❗ Basic computer knowledge.
❗ Completion of Hybrid AI Web Foundations (recommended).
❗ Basic knowledge of HTML, CSS, and Bootstrap.
❗ Basic knowledge of jаvascript and React is recommended.
❗ Familiarity with ChatGPT is helpful but not mandatory.
❗ A computer with internet access.
❗ Enthusiasm to learn AI-assisted software development.
Description
This course contains the use of artificial intelligence.
Hybrid AI is transforming the way modern digital products are designed and developed. In this course, you will learn how to combine traditional UI/UX design principles with powerful AI coding tools to create professional, user-friendly, and responsive web and application interfaces faster than ever before.
The course begins with the fundamentals of user experience (UX) and user interface (UI) design, helping you understand user-centered design, visual hierarchy, color theory, typography, wireframing, and responsive layouts. You will then explore how AI-powered design and coding tools can accelerate the entire product development lifecycle, from idea generation and interface design to code generation and implementation.
You will learn how to create wireframes, interactive prototypes, design systems, reusable UI components, and modern user flows. The course also introduces AI-assisted frontend development techniques that help convert design concepts into working user interfaces with greater speed and efficiency. Practical exercises and real-world projects will demonstrate how AI can support design decisions, improve productivity, automate repetitive tasks, and enhance collaboration between designers and developers.
In addition, you will explore modern workflows that integrate design tools, AI coding assistants, no-code platforms, and frontend technologies to build high-quality digital experiences. By the end of the course, you will have the knowledge and confidence to design, prototype, and develop AI-powered user interfaces while understanding industry best practices for usability, accessibility, and modern product design.
This course is ideal for beginners, students, UI/UX designers, frontend developers, entrepreneurs, and professionals who want to leverage AI to create better digital products and stay ahead in the rapidly evolving technology landscape.
Who this course is for
⭐ Aspiring Hybrid AI Developers.
⭐ Frontend developers who want to integrate AI into their workflow.
⭐ Software developers interested in AI-assisted application development.
⭐ Engineering and diploma students.
⭐ Computer science students.
⭐ Prompt engineers expanding into software development.
⭐ Professionals who want to improve development productivity using AI.
⭐ Anyone interested in building enterprise AI-powered web applications.
Homepage
https://rapidgator.net/file/6910c1fc67281e955cf0178e7d137eba/Hybrid_AI_UI_UX_Development_with_AI_Coding_Tools.part1.rar.html
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Category: Tutorials
- views: 142
- date: 4 October 2026
- posted by: 0nelove
Healthy Weight Loss Course - With World Record Holder Coach
Published 10/2026
Created by Reheman Sheriff
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 5h 13m ) | Size: 7.5 GB
Nutrition, Diet, Exercise, Lifestyle
What you'll learn
⚡ Lose weight in a healthy way
⚡ Diet & Nutrition guide
⚡ Exercises & Workout sessions
⚡ Lifestyle & Health
Requirements
❗ Everyone
Description
Transform Your Body: The Ultimate 1 Month Weight Loss Plan
Ready to burn fat, build lean muscle, and boost your energy? This high-impact, 1 month fitness program combines targeted strength training with dynamic cardio to ignite your metabolism and deliver real body-toning results.
Designed to be repeated over 1 full month (4 weeks), this structured routine ensures continuous progress, helping you shed weight, build strength, and achieve a complete body transformation.
Why This Program Works
4-Week Repeatable System: Use this core 5-day workout plan throughout the month to build consistency, progressive overload, and lasting habits.
Dual-Action Approach: Combines compound strength movements to tone muscle with heart-pumping cardio to maximize calorie burn and melt away fat.
Includes Free Diet Plan PDF: Nutrition is key to weight loss! Get a comprehensive, step-by-step diet guide in PDF format to complement your workouts and optimize your results.
Sustained Afterburn: Keeps your metabolism elevated so you continue burning calories long after your workout ends.
What's Inside the 5-Day Workout Routine?
Day 1: Full-Body Strength Kickstart – Engage major muscle groups to build momentum and prime your metabolism.
Day 2: High-Energy Cardio & Core – Torch calories while sculpting and stabilizing your midsection.
Day 3: Lower Body & Glute Burn – Target legs and hips to shape, tone, and build lower-body power.
Day 4: Upper Body Sculpt & Sweat – Define your arms, shoulders, and back paired with metabolic conditioning.
Day 5: Total Body Shred & Cooldown – Finish strong with a full-body finisher designed to maximize fat loss and kickstart recovery.
Start Your 1-Month Transformation Today
Whether you want to kickstart a weight loss journey or break through a plateau, this complete fitness and nutrition package gives you the exact blueprint to feel stronger, leaner, and more energized.
Enroll today and receive your complete 5-day workout plan plus your Diet Plan PDF!
Who this course is for
⭐ People who want to lose weight & Fat in a Healthy way
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Category: Tutorials
- views: 108
- date: 4 October 2026
- posted by: 0nelove
EMC Compliance Masterclass IEC 61000-3-5, IEC 61000-3-8 & 11
Published 10/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 53m | Size: 11.9 GB
https://rapidgator.net/file/20e55c014a2238b70bb2fcc83168e3bf/EMC_Compliance_Masterclass_IEC_61000-3-5,_IEC_61000-3-8_&_11.part01.rar.html
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Category: Tutorials
- views: 134
- date: 4 October 2026
- posted by: 0nelove
Dockerize Spring Boot 4 Microservices: Complete Project
Published 10/2026
Created by Ramesh Fadatare (Java Guides)
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 32 Lectures ( 5h 31m ) | Size: 7.4 GB
Learn Docker & Docker Compose by containerizing & running a complete Spring Boot & Microservices projects step by step.
What you'll learn
⚡ Learn Docker fundamentals and understand images, containers, Dockerfiles, and essential Docker commands.
⚡ Dockerize a Spring Boot 4 application step by step using Java 25, Maven, MySQL, and Docker.
⚡ Set up and Dockerize a complete Spring Boot 4 Microservices project, including its services and MySQL databases.
⚡ 1. Use Docker Compose to configure, connect, run, and test the complete Spring Boot Microservices project as a containerized system.
Requirements
❗ You should already know how to build a Spring Boot Microservices project, because this course focuses only on Dockerizing an existing Microservices application.
❗ - No prior Docker experience is required. I will teach Docker and Docker Compose step by step using the existing Microservices project.
Description
Learn how toDockerize a complete Spring Boot 4 Microservices project using Docker and Docker Compose in this practical, hands-on course.
This course is designed for Java and Spring Boot developers who already understand the basics of microservices and now want to learn how to containerize a complete real-world project step by step.
You will begin withDocker fundamentals so you understand the core concepts before working with the microservices project. You will learn how Docker images and containers work, how Dockerfiles are used, and how applications are packaged and run inside containers.
Next, you will learn how toDockerize a Spring Boot application step by step. This section helps you understand the complete process before moving to a larger microservices architecture.
After that, you will set up theSpring Boot 4 Microservices project that will be used throughout the course. You will understand the project structure and prepare the services for Dockerization.
The main part of the course focuses onDockerizing the complete Spring Boot Microservices project. You will work through the services one by one, create Dockerfiles, build Docker images, run containers, configure service communication, and connect the complete system.
You will also learn how to work with the supporting infrastructure required by the project, including MySQL databases and other microservices components.
Finally, you will useDocker Compose to run the complete Microservices system together. Instead of starting each service manually, you will define and run the complete containerized architecture using a single Docker Compose setup.
Technologies Used in This Course
✨Java 25
✨Spring Boot 4
✨Docker
✨Docker Compose
✨MySQL
✨Maven
✨IntelliJ IDEA
By the end of this course, you will understand how to move a Spring Boot 4 Microservices project from a normal local development environment to afully containerized setup using Docker and Docker Compose.
This course is ideal forJava developers, Spring Boot developers, backend developers, and Microservices developers who want practical Docker experience with a complete project.
If you want to learn Docker by working on a real Spring Boot Microservices application instead of isolated examples, this course gives you a clear, step-by-step practical path.
Who this course is for
⭐ Java and Spring Boot developers who already know how to build a Microservices project and now want to learn how to Dockerize it.
⭐ Developers who want hands-on experience running a complete Spring Boot Microservices project using Docker and Docker Compose.
⭐ Backend developers and working professionals who want to add practical Docker skills to their existing Microservices knowledge.
https://rapidgator.net/file/7e8d2928bfb9f3733ea9b4a4b4bedbf7/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part1.rar.html
https://rapidgator.net/file/4a9e9d6f86b3b9e6d6ebfa6ee0bd59be/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part2.rar.html
https://rapidgator.net/file/c0b359480f6501153503542700258d66/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part3.rar.html
https://rapidgator.net/file/fa5c008a71d31156ea636cfc417893da/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part4.rar.html
https://rapidgator.net/file/4466751ee0ea5fa2e55de52b53f44251/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part5.rar.html
https://rapidgator.net/file/15c33bd6ae2d74dd040672fffd2bafd6/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part6.rar.html
https://rapidgator.net/file/9b39855ab05367f9641548d4c99e2a45/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part7.rar.html
https://rapidgator.net/file/37e3c5ab2d3fcfd17ce7158b20eadee9/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part8.rar.html
https://www.uploadcloud.pro/6r9wdxyo8ypu/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part1.rar.html
https://www.uploadcloud.pro/mpblra3a10g7/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part2.rar.html
https://www.uploadcloud.pro/pdlvbvinrwt6/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part3.rar.html
https://www.uploadcloud.pro/x047in5k7ud7/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part4.rar.html
https://www.uploadcloud.pro/br83in34ssc4/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part5.rar.html
https://www.uploadcloud.pro/bjkefgwt5oim/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part6.rar.html
https://www.uploadcloud.pro/dh29b0u7hpid/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part7.rar.html
https://www.uploadcloud.pro/167ospnk4gug/Dockerize_Spring_Boot_4_Microservices_Complete_Project.part8.rar.html |
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Category: Tutorials
- views: 77
- date: 4 October 2026
- posted by: 0nelove
Diploma in Sports Medicine: Injury Care & Rehab
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 42m | Size: 4.65 GB
Sports Medicine Masterclass: Injury Prevention, Diagnosis, Rehabilitation & Athletic Performance
What you'll learn
Master the core principles of sports medicine, from injury prevention to elite athlete care
Diagnose and manage common sports injuries including sprains, fractures, concussions and overuse syndromes
Design safe, evidence-based rehabilitation and return-to-play protocols for athletes at every level
Apply exercise physiology, nutrition and performance science to optimise athletic health and prevent long-term harm
Requirements
No prior medical qualification required — just a genuine interest in sports, health, fitness or injury care. Everything is explained step-by-step from the basics
Description
"This course contains the use of artificial intelligence."
Are you ready to master the science and practice of Sports Medicine and build the skills to prevent, diagnose and treat athletic injuries with confidence?
This comprehensive Diploma in Sports Medicine takes you from foundational anatomy and exercise physiology through to real-world clinical decision-making used by leading sports doctors, physiotherapists and athletic trainers worldwide.
You will learn how to assess common sports injuries such as sprains, strains, fractures, dislocations, concussions and overuse conditions, and how to build safe, evidence-based rehabilitation and return-to-play plans. We cover the biomechanics of movement, principles of strength and conditioning, sports nutrition, and the latest research on injury prevention strategies used by elite teams and clinics.
Throughout the course, you will work through realistic case studies and scenarios drawn from clinical practice, helping you translate theory into practical, job-ready skills. Whether you are a doctor, nurse, physiotherapist, personal trainer, coach, sports science student, or simply passionate about athlete health, this diploma is designed to be accessible, engaging and immediately applicable.
By the end of this course, you will have a structured, professional-level understanding of sports medicine that can support your clinical practice, coaching career, further study, or personal passion for helping athletes perform and recover safely.
Enrol today and take the next step toward becoming a confident, capable sports medicine practitioner.
Who this course is for
Doctors, physiotherapists, nurses, personal trainers, coaches, students and anyone passionate about sports medicine or a career in athletic healthcare
Homepage
https://rapidgator.net/file/22c5a1eeb88723bdc4291683bacedd81/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part1.rar.html
https://rapidgator.net/file/400bdc2d0332c9e81b0bfd7bcdd80f65/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part2.rar.html
https://rapidgator.net/file/a6ab61620fe57e5406781e93ba1d2d51/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part3.rar.html
https://rapidgator.net/file/d1fae9d0a3b04949ceef477f0f7d49d4/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part4.rar.html
https://rapidgator.net/file/57058dea5dbc47374eef0513cc7a27f3/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part5.rar.html
https://www.uploadcloud.pro/1b3xgolkbbft/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part1.rar.html
https://www.uploadcloud.pro/79fphushpqlv/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part2.rar.html
https://www.uploadcloud.pro/3ujxhrumzmc2/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part3.rar.html
https://www.uploadcloud.pro/sxzjk961p1qv/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part4.rar.html
https://www.uploadcloud.pro/gdriw2e79otn/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part5.rar.html |
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Category: Tutorials
- views: 97
- date: 4 October 2026
- posted by: 0nelove
Diploma in Sports Medicine: Injury Care & Rehab
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 42m | Size: 4.65 GB
Sports Medicine Masterclass: Injury Prevention, Diagnosis, Rehabilitation & Athletic Performance
What you'll learn
Master the core principles of sports medicine, from injury prevention to elite athlete care
Diagnose and manage common sports injuries including sprains, fractures, concussions and overuse syndromes
Design safe, evidence-based rehabilitation and return-to-play protocols for athletes at every level
Apply exercise physiology, nutrition and performance science to optimise athletic health and prevent long-term harm
Requirements
No prior medical qualification required — just a genuine interest in sports, health, fitness or injury care. Everything is explained step-by-step from the basics
Description
"This course contains the use of artificial intelligence."
Are you ready to master the science and practice of Sports Medicine and build the skills to prevent, diagnose and treat athletic injuries with confidence?
This comprehensive Diploma in Sports Medicine takes you from foundational anatomy and exercise physiology through to real-world clinical decision-making used by leading sports doctors, physiotherapists and athletic trainers worldwide.
You will learn how to assess common sports injuries such as sprains, strains, fractures, dislocations, concussions and overuse conditions, and how to build safe, evidence-based rehabilitation and return-to-play plans. We cover the biomechanics of movement, principles of strength and conditioning, sports nutrition, and the latest research on injury prevention strategies used by elite teams and clinics.
Throughout the course, you will work through realistic case studies and scenarios drawn from clinical practice, helping you translate theory into practical, job-ready skills. Whether you are a doctor, nurse, physiotherapist, personal trainer, coach, sports science student, or simply passionate about athlete health, this diploma is designed to be accessible, engaging and immediately applicable.
By the end of this course, you will have a structured, professional-level understanding of sports medicine that can support your clinical practice, coaching career, further study, or personal passion for helping athletes perform and recover safely.
Enrol today and take the next step toward becoming a confident, capable sports medicine practitioner.
Who this course is for
Doctors, physiotherapists, nurses, personal trainers, coaches, students and anyone passionate about sports medicine or a career in athletic healthcare
Homepage
https://rapidgator.net/file/22c5a1eeb88723bdc4291683bacedd81/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part1.rar.html
https://rapidgator.net/file/400bdc2d0332c9e81b0bfd7bcdd80f65/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part2.rar.html
https://rapidgator.net/file/a6ab61620fe57e5406781e93ba1d2d51/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part3.rar.html
https://rapidgator.net/file/d1fae9d0a3b04949ceef477f0f7d49d4/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part4.rar.html
https://rapidgator.net/file/57058dea5dbc47374eef0513cc7a27f3/Diploma_in_Sports_Medicine_Injury_Care_&_Rehab.part5.rar.html
https://www.uploadcloud.pro/1b3xgolkbbft/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part1.rar.html
https://www.uploadcloud.pro/79fphushpqlv/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part2.rar.html
https://www.uploadcloud.pro/3ujxhrumzmc2/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part3.rar.html
https://www.uploadcloud.pro/sxzjk961p1qv/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part4.rar.html
https://www.uploadcloud.pro/gdriw2e79otn/Diploma_in_Sports_Medicine_Injury_Care__amp__Rehab.part5.rar.html |
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Category: Tutorials
- views: 334
- date: 4 October 2026
- posted by: 0nelove
Master Claude AI – From Free to Master Power
Published 10/2026
Created by Raja Nunna
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 16 Lectures ( 1h 33m ) | Size: 428.1 MB
Claude AI: Unlock Creative Genius & Real-World Skills with Claude's Free Version (and Beyond)
What you'll learn
⚡ Master the core principles of Claude AI and discover its powerful features plus real-world uses across diverse industries.
⚡ Discover how to craft and implement winning product launch strategies powered by Claude AI.
⚡ Unlock expert techniques for crafting powerful prompts that unlock superior results from Claude AI.
⚡ Dive into hands-on practice by creating your Anthropic AI account, exploring the platform, and writing compelling product descriptions with Claude.
Requirements
❗ None. Having a free account of Claude AI will allow you to use all functionality.
Description
Master Claude AI: A Practical Guide for Everyone Step into the realm of advanced AI and unlock Claude's full potential with this hands-on course. Built for complete beginners and experienced users alike, it gives you the practical skills to use Claude effectively for research, writing, coding, analysis, and everyday problem-solving. Here's what you'll cover
✨ Claude AI fundamentals — Clear explanation of what Claude is and what it can do
✨ Free vs Pro — Side-by-side look at the features and real advantages of each plan
✨ Claude 3.5 Sonnet — The latest model and what makes it stand out
✨ Claude Haiku — Fast, efficient model and the best use cases for it
✨ Claude Opus — The most powerful option for complex, high-stakes tasks
✨ Head-to-head comparison — Claude vs ChatGPT vs Perplexity so you know when to use each tool
✨ Navigating the interface — Get comfortable with the workspace quickly
✨ Artifacts — What they are and how to use them effectively
✨ Custom instructions — Set your preferred style and behavior once and for all
✨ Projects — Create, organize, and manage projects inside Claude
✨ Slack integration — Bring Claude into your team's workflow
✨ Smart searching — Techniques for finding accurate information fast
✨ Writing & editing — Generate polished text and refine existing drafts
✨ Summarizing — Turn long content into clear, concise overviews
✨ Data comparison — Analyze and contrast information efficiently
✨ Code generation & debugging — Create working code snippets and fix errors with confidence
.plus many more practical techniques and workflows. Join now and start using Claude the way it was meant to be used.
This is your chance to move from curious beginner to confident, productive Claude user.
Who this course is for
⭐ Beginners in AI Complete newcomers with zero background in artificial intelligence or coding will feel right at home — the course builds everything from the ground up with clear, foundational lessons. Entrepreneurs & Business Owners Founders and business leaders ready to supercharge product launches and marketing can unlock practical Claude AI workflows that streamline operations and drive real results. Students Learners eager to master modern AI tools will gain hands-on skills and real-world insights that stand out in today's competitive job market. Content Creators Writers and creators can transform their workflow with Claude AI — generating polished text, boosting SEO, and producing content faster than ever. Curious Learners Anyone simply fascinated by AI can dive in to explore Claude's capabilities and discover how it applies across countless everyday fields. Marketing Professionals Marketers will learn to harness Claude AI for crafting targeted campaigns, high-converting copy, and promotional materials that truly resonate.
https://rapidgator.net/file/0c2da9d9e6d9e522f110928ac527aaf4/Master_Claude_AI_From_Free_to_Master_Power.rar.html
https://www.uploadcloud.pro/4qt119t0qvs9/Master_Claude_AI_From_Free_to_Master_Power.rar.html
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Category: Tutorials
- views: 99
- date: 4 October 2026
- posted by: 0nelove
Advanced Security Architecture Design Considerations
Published 10/2026
Created by Unit4sec Security
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 43 Lectures ( 4h 24m ) | Size: 2.8 GB
Master the modern security controls high-value apps rely on. Understand the risks; let the AI write the secure code.
What you'll learn
⚡ Reason about application-security risks and the "why" behind each modern defense, not just the syntax
⚡ Secure delegated access with OAuth and PKCE, and stop the six classic OAuth attacks
⚡ Apply Strong Customer Authentication, WebAuthn/passkeys, and transaction binding correctly
⚡ Guarantee request integrity with nonces, HMAC/transaction signing, and signed expiring links
⚡ Prevent IDOR/BOLA with object-level authorization, and defend against abuse with rate limiting and bot management
⚡ Protect data in transit and at rest: mutual TLS, envelope/payload encryption, and post-quantum readiness
⚡ Harden mobile apps on a hostile device: root/jailbreak detection, obfuscation, RASP, and repackaging prevention
⚡ Anchor trust with app attestation and hardware-backed keys (TEE, StrongBox, Secure Enclave)
⚡ Stop mobile fraud: screen-sharing, overlays, accessibility abuse, deep-link hijacking, and device binding
⚡ Hand your AI assistant a ready-made implementation skill for every topic, and review it against a checklist
Requirements
❗ Working experience as a software developer (any stack); you write or review application code
❗ Basic familiarity with how web and mobile apps talk to a backend (HTTP, APIs, tokens)
❗ No prior security background required; no exploit tooling or lab setup needed
❗ Optional: access to an AI coding assistant to use the downloadable implementation skills
Description
This course contains the use of artificial intelligence.
The era of typing out exploit demos is over: your AI assistant already writes the implementation. What still separates a good engineer from a dangerous one is judgment, knowing the risk and the reason behind every control. This course builds that judgment.
It is deliberately theory-first and visual. Every topic teaches the risk, the "why", and the trade-offs with clear, animated explanations, in plain language, in short lectures (most under six minutes). And every topic ships a matching AI implementation skill: a structured prompt you hand to your coding assistant (Claude Code, Cursor, Copilot) so it implements that control correctly in your own stack, encoding current best practice from the relevant RFCs, OWASP guidance, and CWE mitigations.
You will cover the advanced Web controls behind real financial and high-value applications: OAuth and PKCE, Strong Customer Authentication, WebAuthn and passkeys, nonce and replay protection, HMAC and transaction signing, signed action links, secure object access (IDOR/BOLA), rate limiting, bot management and device fingerprinting, mutual TLS, and payload encryption including the post-quantum "harvest now, decrypt later" threat.
Then you will move to the hostile-device world of Mobile security: root, jailbreak and emulator detection, code obfuscation, RASP and hook detection, repackaging prevention, app attestation (Play Integrity and App Attest), hardware-backed key storage (TEE, StrongBox, Secure Enclave), sensitive data at rest, SSL pinning, screenshot and screen-sharing protection, overlay and accessibility abuse, keyboard and clipboard leaks, activation and device binding, deep link and intent hijacking, and WebView and JS-bridge security.
Each lecture ends with a short quiz, and each topic links to a downloadable AI implementation skill so you can act on what you learned immediately. Audio is better and contenct is created by us, human in the loop.
Who this course is for
⭐ Web and mobile developers who want to build secure, high-value/financial-grade apps
⭐ Backend and API engineers responsible for authentication, authorization, and data protection
⭐ Mobile (Android/iOS) engineers hardening apps against a hostile-device threat model
⭐ Tech leads and architects who must make and review security decisions
⭐ Engineers who use AI coding assistants and want the judgment to review what the AI produces
https://rapidgator.net/file/70c805a6c23eace261b41757fbee5f31/Advanced_Application_Security_Architecture_Design_Concepts.part1.rar.html
https://rapidgator.net/file/963ae2a1adc02372e6b43cad6347b723/Advanced_Application_Security_Architecture_Design_Concepts.part2.rar.html
https://rapidgator.net/file/019ea30317aeee2bb6e7d912ae59c8c4/Advanced_Application_Security_Architecture_Design_Concepts.part3.rar.html
https://www.uploadcloud.pro/7rxfyhef2v2d/Advanced_Application_Security_Architecture_Design_Concepts.part1.rar.html
https://www.uploadcloud.pro/gpe0rrevzv1u/Advanced_Application_Security_Architecture_Design_Concepts.part2.rar.html
https://www.uploadcloud.pro/j2owbx852fhh/Advanced_Application_Security_Architecture_Design_Concepts.part3.rar.html
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Category: Tutorials
- views: 102
- date: 4 October 2026
- posted by: 0nelove
AI Ethics in Practice: Fairness, Bias & the EU AI Act
Published 10/2026
Created by Armaan Sidana
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 25 Lectures ( 2h 14m ) | Size: 979.1 MB
Responsible AI in practice: harm triage, fairness metrics, model cards, oversight. Mapped to NIST AI RMF and ISO 42001
What you'll learn
⚡ Name any AI harm precisely: which kind, to whom, how badly, and whether it can be undone, in words that survive a room full of lawyers
⚡ Tell allocative harm from representational harm in thirty seconds, and spot the four kinds of harm that never produce an error message
⚡ Choose a fairness criterion and defend it, knowing why demographic parity, equal opportunity and calibration cannot all hold at once
⚡ Run disaggregated evaluation by subgroup and turn fairness into a test that fails the build, instead of a paragraph in a report
⚡ Audit where bias actually enters: the target variable, representation, conditions and absence, rather than only testing the model
⚡ Tell honest transparency from decorative explanation, and write disclosure that helps a person act on a decision made about them
⚡ Read a model card, system card or data statement like an auditor, and catch generic limitations that are worse than saying nothing
⚡ Apply purpose limitation and the secondary-use test, and answer a deletion request when the data is already inside a trained model
⚡ Measure whether human oversight is real, design review that resists automation bias, and name where persuasion becomes manipulation
⚡ Run a one-hour AI ethics review mapped to the EU AI Act, NIST AI RMF and ISO 42001 that ends in a decision, not a discussion
Requirements
❗ You have seen an AI system in production, or close to it.
❗ You can read a system diagram.
❗ No statistics, philosophy or law required. Where the course touches a regulation it explains the shape of the obligation, not the citation.
❗ Helpful if you have sat in a meeting where someone said "we should probably think about the ethics" and nobody knew the next sentence.
Description
Most AI ethics training stops at a values statement. This course is about the decisions that get made anyway, usually by whoever happens to be in the room.
If you are the person who gets asked "is this okay to ship?", this was written for you. Not as philosophy, and not as a compliance recital. As a set of moves you can make in a meeting, with words that survive a room containing lawyers, engineers and a product owner at the same time.
The uncomfortable premise is that ethics is decided at design time and discovered later. By the time anyone convenes a review, most of the outcomes are already fixed by choices nobody flagged as ethical: what the target variable is, who the system was aimed at, which data was already lying around. So this course works on those choices, in the order you actually meet them.
WHAT YOU WILL BE ABLE TO DO
Name the harm precisely. There are two families of harm and only one of them gets measured. You will learn to tell allocative from representational harm in thirty seconds, recognise the four kinds of harm that never produce an error message, and triage any system on three axes instead of a single meaningless score.
Choose a fairness criterion and defend it. Demographic parity, equal opportunity and calibration are all reasonable, and they cannot all hold at once. That is a theorem, not an oversight. You will see the conflict on one slide, learn which criterion fits which decision type, and write a fairness statement that outlives your tenure. Then you will turn it into disaggregated evaluation by subgroup, as a test that fails the build.
Tell honest transparency from decorative transparency. The second is the far more common failure. You will learn the five things a decision subject is owed, why an explanation may not describe the model at all, how to read a model card like an auditor, and why generic limitations sections are worse than none. Overclaiming gets its own lecture, because it is now enforcement territory.
Handle data with some dignity. Provenance questions for any dataset. The three ways a model leaks the people in its training data, and why rare records are remembered best. Purpose limitation and the secondary-use test. What happens when "delete my data" meets a model that has already been trained.
Keep humans actually in the loop. A human in the loop is not a control. People defer to machines, reliably and measurably. You will learn to design review that resists that deference, measure whether your oversight is real, name the line where persuasion becomes manipulation, and close the accountability gap with one named person before launch.
Run the review. The final section maps everything onto the EU AI Act, the NIST AI Risk Management Framework and ISO 42001, gives you a one-page responsible-use policy people follow rather than route around, and ends with an eight-question review you can run on one real system in an hour and leave with a decision.
WHAT THIS COURSE IS NOT
It is not a values statement. It is not an argument about whether AI is good. It assumes no statistics, no philosophy and no law. Where it touches a regulation it explains the shape of the obligation rather than reciting the citation. Where it touches a fairness metric it explains what the number means rather than how to derive it.
Twenty-five short lectures, none longer than about six minutes, built so you can watch one before a review and use it the same afternoon. By the end you will have a vocabulary that holds up under challenge, a method you can repeat, and an artefact to leave behind.
Who this course is for
⭐ Security, risk and GRC practitioners who already run reviews and need the one dimension they were never trained on.
⭐ Architects and engineering leads who make the design calls that decide whether a harm is possible at all.
⭐ Product owners and programme managers, because choosing what a system is for and who it is aimed at does more ethical work than any model card.
⭐ Anyone writing the responsible-use policy who wants one people follow instead of route around
⭐ Not for you if you want moral philosophy, legal citations, or code for fairness libraries.
https://rapidgator.net/file/778efcde47db411341a45cbf7e82924a/AI_Ethics_in_Practice_Fairness,_Bias_&_the_EU_AI_Act.rar.html
https://www.uploadcloud.pro/ebau0lj4r2vb/AI_Ethics_in_Practice_Fairness__Bias__amp__the_EU_AI_Act.rar.html
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Category: Tutorials
- views: 66
- date: 4 October 2026
- posted by: 0nelove
Apache Airflow 3: Dynamic Task Mapping & Resilience
Published 10/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 8 Lectures ( 1h 13m ) | Size: 700.4 MB
Master Apache Airflow 3 dynamic task mapping, deferrable operators, and fault-tolerant DAGs for enterprise pipelines.
What you'll learn
⚡ Build scalable, dynamic workflows in Apache Airflow 3 using Dynamic Task Mapping to handle runtime data payloads effortlessly.
⚡ Eliminate worker resource bottlenecks and lower cloud infrastructure costs using async Deferrable Operators and Triggers.
⚡ Implement enterprise-grade pipeline resilience with exponential retries, failure callbacks, circuit breakers, and dead letter queues.
⚡ Architect self-healing, event-driven Airflow 3 DAGs that automatically recover from network outages and downstream failures.
Requirements
❗ Basic understanding of Python programming and foundational data engineering concepts (like DAGs and basic SQL). No prior experience with Airflow 3 is required.
Description
This course contains the use of artificial intelligence.
Stop building brittle, static data pipelines that break under changing workloads and waste expensive cluster resources.
In this hands-on, practical course, you will master the next-generation features of Apache Airflow 3.0 to construct fully dynamic, event-driven, and resilient data pipelines built for enterprise scale. You will learn how to scale tasks dynamically at runtime, leverage deferrable operators to reduce infrastructure costs, and build automated self-healing mechanisms into every DAG you deploy.
Who this course is for
⭐ Data Engineers, DevOps Specialists, and Analytics Engineers looking to upgrade their skills to Apache Airflow 3 and build high-concurrency, resilient pipelines.
Homepage
https://rapidgator.net/file/4f769c1132874617429b4ddeeddcfbb0/Apache_Airflow_3_Dynamic_Task_Mapping_&_Resilience.rar.html
https://www.uploadcloud.pro/chccovn1ze8s/Apache_Airflow_3_Dynamic_Task_Mapping__amp__Resilience.rar.html
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Category: Tutorials
- views: 297
- date: 4 October 2026
- posted by: 0nelove
Data Science for Beginners: From Data to Insights
Published 10/2026
Created by Arjun Vaid, School of AI, MEET SHAH
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 65 Lectures ( 3h 0m ) | Size: 334.4 MB
Learn Python, Pandas, data analysis, visualization, and machine learning through hands-on labs and a capstone project
What you'll learn
⚡ Use Python and Pandas to load, explore, and clean datasets, handling missing values, duplicates, inconsistent formats, and outliers.
⚡ Apply exploratory analysis and practical statistics to identify patterns, compare groups, and test business claims.
⚡ Build and evaluate regression and classification models, compare performance, and recognize overfitting, data leakage, and bias.
⚡ Complete a data science capstone and communicate findings through clear visualizations and actionable business recommendations.
Requirements
❗ No prior experience in data science or machine learning is required; Python fundamentals are covered in the course.
❗ Basic computer skills and familiarity with arithmetic, averages, and percentages.
❗ A computer with internet access and the ability to run Python notebooks.
❗ Willingness to practice with datasets and complete hands-on labs, coding exercises, and a capstone project.
Description
This course contains the use of artificial intelligence.
Turn raw data into useful insights with a practical, beginner-friendly introduction to data science.
In Data Science for Beginners: From Data to Insights, you will work through the complete data science workflow: defining a problem, preparing data, exploring patterns, building predictive models, and communicating results.
Start with Python fundamentals, then use Pandas to load, filter, and summarize datasets. Learn to handle missing values, duplicates, inconsistent formats, and outliers so your data is ready for analysis.
Explore distributions, compare groups, and investigate relationships between variables. Apply practical statistics to test business claims, and create clear visualizations that turn findings into actionable recommendations.
Next, build regression and classification models. Evaluate predictions using appropriate metrics, compare models against baselines, and recognize common problems such as overfitting and data leakage. You will also examine bias, privacy, fairness, and the importance of documenting limitations.
Hands-on labs, coding exercises, quizzes, practice tests, and presentation role plays help you apply what you learn. Finish with a capstone project that brings together problem framing, data preparation, analysis, modeling, and a final recommendation.
This course is designed for beginners, students, career changers, and business professionals who want practical data science skills. It also suits aspiring data analysts who want experience completing a project from data to insights.
Who this course is for
⭐ Beginners who want a practical introduction to data science, from preparing data to building models and presenting insights.
⭐ Students and career changers looking to develop Python, Pandas, data analysis, and machine learning skills through hands-on practice.
⭐ Business professionals who want to turn business questions into clear analysis and actionable recommendations.
⭐ Aspiring data analysts and junior data scientists who want to apply their skills in a complete capstone project.
https://rapidgator.net/file/5339085807f5a89f4813db8fac07ad80/Data_Science_for_Beginners_From_Data_to_Insights.rar.html
https://www.uploadcloud.pro/pdme9gmhi18p/Data_Science_for_Beginners_From_Data_to_Insights.rar.html
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Category: Tutorials
- views: 136
- date: 4 October 2026
- posted by: 0nelove
GIS Analyst to GIS Developer Series™ | GeoPandas (2026)
Published 10/2026
Created by Zain Ul Abdin
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 66 Lectures ( 8h 34m ) | Size: 4.1 GB
Learn GeoPandas, Spatial Analysis, CRS, Vector Data Processing, and Build Real-World GIS Projects
What you'll learn
⚡ Master GeoPandas for creating, managing, analyzing, and visualizing vector geospatial data.
⚡ Perform real-world spatial analysis using joins, overlays, buffering, clipping, and spatial queries.
⚡ Read, clean, transform, and export geospatial data in formats such as Shapefile, GeoJSON, and GeoPackage.
⚡ Build practical GIS workflows by completing hands-on real-world GeoPandas projects from start to finish.
Requirements
❗ Basic Python knowledge is recommended, but every GeoPandas concept is explained step by step. A computer with Windows, macOS, or Linux and an internet connection are all you need.
Description
Are you ready to take your GIS skills to the next level with Python? Whether you're a GIS student, GIS professional, researcher, or Python developer, this course will teach you how to useGeoPandas to efficiently manage, analyze, and visualize geospatial data through practical, real-world examples.
GeoPandas is one of the most powerful Python libraries for working with vector geospatial data. Throughout this course, you'll learn not only how to use GeoPandas but also why each concept matters and how it is applied in real GIS workflows.
We start with the fundamentals of GIS and GeoPandas before setting up a complete development environment. From there, you'll learn how to create and work with GeoDataFrames, read and write common spatial file formats, manipulate attribute data, perform geometry operations, manage Coordinate Reference Systems (CRS), and understand spatial relationships.
As your skills grow, you'll perform advanced spatial analysis using buffering, clipping, overlays, dissolving, spatial joins, and nearest-neighbor analysis. You'll also learn how to combine multiple datasets, create professional-quality maps, optimize GeoPandas workflows for large datasets, and apply best practices used by GIS professionals.
The course concludes with several hands-on real-world projects where you'll build complete GIS workflows from start to finish. These projects reinforce everything you've learned and help you develop practical experience that you can apply in your job, research, or personal projects.
What you'll learn
✨ Install and configure GeoPandas and its dependencies.
✨ Understand GIS fundamentals and vector data concepts.
✨ Create and manage GeoDataFrames.
✨ Read and export Shapefiles, GeoJSON, GeoPackage, and other formats.
✨ Manipulate and analyze attribute and geometry data.
✨ Work with Coordinate Reference Systems (CRS).
✨ Perform spatial joins, overlays, clipping, buffering, and other spatial analyses.
✨ Merge and manage multiple geospatial datasets.
✨ Create professional geospatial visualizations.
✨ Optimize GeoPandas workflows for better performance.
✨ Build complete real-world GIS projects from scratch.
By the end of this course, you'll have the confidence to use GeoPandas in real GIS projects, automate geospatial workflows with Python, and build a strong foundation for advanced geospatial development.
Who this course is for
⭐ This course is designed for GIS students, GIS professionals, Python developers, and anyone interested in geospatial data analysis with Python. Whether you are new to GeoPandas or looking to strengthen your existing skills, you will learn how to work with real-world spatial data, automate GIS workflows, perform spatial analysis, and build practical projects that can be applied in academic, professional, or personal GIS work.
Homepage
https://rapidgator.net/file/f06b335bfec114e535d17994b4f70790/GIS_Analyst_to_GIS_Developer_SeriesTM_GeoPandas_(2026).part1.rar.html
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Category: Tutorials
- views: 168
- date: 4 October 2026
- posted by: 0nelove
Spanish for Beginners: Everyday Speaking & Listening
Published 10/2026
Created by Hakim Akademi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 48 Lectures ( 7h 59m ) | Size: 5.2 GB
Build everyday Spanish with 48 visual lessons, clear English guidance and guided speaking practice.
What you'll learn
⚡ Introduce yourself, exchange names, and use polite everyday Spanish expressions.
⚡ Understand short model conversations about cafés, shopping, travel, hotels, and daily life.
⚡ Ask for directions, prices, times, repetition, and slower speech in Spanish.
⚡ Order food, buy an item, check in at a hotel, and request a practical solution politely.
⚡ Talk about family, routines, hobbies, simple plans, and a few completed actions.
⚡ Build clearer pronunciation through listening, repetition, and speaking practice.
⚡ Respond to familiar situations before hearing the model answer.
⚡ Combine useful phrases in short everyday exchanges with less on-screen support.
Requirements
❗ No previous Spanish knowledge is required.
❗ Basic English comprehension is needed for the explanations and instructions.
❗ Use a device with audio; headphones and a notebook are helpful.
❗ Be willing to pause the video and practise speaking aloud.
Description
Start using Spanish in the everyday situations that matter: meeting someone, ordering a coffee, finding your way, checking in at a hotel, and keeping a simple conversation going.
Spanish for Beginners: Everyday Speaking & Listening is a practical introduction for English-speaking learners who want clear explanations and regular opportunities to speak aloud. You do not need previous Spanish knowledge. Bring your curiosity and a willingness to pause, repeat, and try an answer before you hear the model.
The course includes 48 illustrated video lessons across 16 focused modules, with approximately eight hours of instruction and guided practice. Each module follows the same three-step sequence
LEARN: Meet useful expressions, hear their pronunciation, and connect the Spanish words with their meaning.
LISTEN & UNDERSTAND: Follow a short conversation between recurring characters. Listen first without the Spanish text, then listen again with support and check key details.
SPEAK & PRACTICE: Respond to a situation, use the built-in speaking pauses, and compare your answer with a Spanish model. Short recall activities help you retrieve expressions without simply reading them.
You will practise introductions, useful numbers and times, asking for repetition, café orders, shopping, directions, transport, hotel reservations, family, daily routines, hobbies, invitations, basic health needs, completed actions, and polite requests. The final module brings familiar expressions together across several everyday encounters.
Instruction and explanations are in English. Spanish model voices use Mexican Spanish pronunciation. The visual design uses a Spanish flag theme; this is not a course specifically in Castilian pronunciation. The lessons use illustrated scenes and AI-assisted voice production, including the instructor's authorized voice model, to support consistent listening and repetition.
The emphasis is on useful beginner exchanges and active practice. This is not an exam-preparation course or a promise of fluency. You will build a practical foundation that you can revisit, adapt to your own life, and continue developing through real conversations.
For the best experience, use headphones, speak during every practice pause, and repeat each three-lesson module before moving on. A notebook can help you collect phrases you want to use outside the course.
¡Escucha, repite y habla! Learn a little, use it aloud, and take your next step in Spanish.
Who this course is for
⭐ Complete beginners who want practical Spanish explained in English.
⭐ Travellers who want useful phrases for cafés, shops, transport, and hotels.
⭐ Returning beginners who want structured listening and speaking practice.
⭐ Learners who enjoy visual scenes, short lessons, and guided repetition.
https://rapidgator.net/file/75d1f27e756ee467608144f32674400f/Spanish_for_Beginners_Everyday_Speaking_&_Listening.part1.rar.html
https://rapidgator.net/file/ca00b47a3c5c1ebb1f044480b868c4fb/Spanish_for_Beginners_Everyday_Speaking_&_Listening.part2.rar.html
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https://www.uploadcloud.pro/uctjkvhp5vav/Spanish_for_Beginners_Everyday_Speaking__amp__Listening.part6.rar.html |
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Category: Tutorials
- views: 137
- date: 4 October 2026
- posted by: 0nelove
[img][/img]
Crack LLD Interviews of Top Product Based Companies
Published 10/2026
Created by Pradeep Kumar
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 30 Lectures ( 5h 33m ) | Size: 4.9 GB
Master OOP, SOLID, UML, design patterns, concurrency and real LLD interview problems with practical examples.
What you'll learn
⚡ Approach LLD interview problems systematically by converting requirements into classes, interfaces, relationships, and responsibilities.
⚡ - Learn how to explain your design choices, discuss trade-offs, and confidently defend your design during SDE interviews. ChatGPT can make mista
⚡ Learn commonly used Design Patterns such as Factory, Strategy, Observer, Decorator, State, Builder, and more.
⚡ Design popular interview problems such as Parking Lot, Elevator System, Vending Machine, Movie Booking System, Rate Limiter, and Notification System.
Requirements
❗ No prior knowledge of Low-Level Design, SOLID principles, UML, or Design Patterns is required.
Description
MasterLow Level Design (LLD) and learn how to approach system design interviews with a structured, interview-focused methodology.
This course is designed for software engineers preparing forSDE-1, SDE-2, Senior Software Engineer and Backend Engineer interviews where Low Level Design, Object-Oriented Design and Design Patterns are frequently tested.
My Students from Live Cohorts have cracked Top Companies so Stay assured and enjoy learning.
Instead of simply memorizing design patterns, you will learnwhen to use them, why they are required, and how they improve real software designs.
We will start with the fundamentals ofObject-Oriented Programming, UML and SOLID principles, and gradually move toward commonly used design patterns and complete LLD interview problems.
You will learn
✨ Object-Oriented Programming concepts for LLD interviews
✨ SOLID principles with practical examples
✨ UML and class diagram fundamentals
✨ Creational, Structural and Behavioral Design Patterns
✨ Factory, Builder, Strategy, Observer, Decorator, Adapter, State, Command and other important patterns
✨ How to convert requirements into classes and relationships
✨ How to identify entities, responsibilities and abstractions
✨ How to write extensible and maintainable designs
✨ Concurrency and multithreading considerations in LLD
✨ How to explain and defend your design during interviews
✨ Step-by-step approaches for solving LLD interview questions
The course also covers several popular interview problems such asParking Lot, Elevator, Vending Machine, Notification System, Rate Limiter, BookMyShow, Tic-Tac-Toe, Payment System, Ride Booking and other real-world systems.
Who this course is for
⭐ Students and working professionals targeting product-based and top tech companies.
Homepage
Published 10/2026
Created by Pradeep Kumar
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 30 Lectures ( 5h 33m ) | Size: 4.9 GB
Master OOP, SOLID, UML, design patterns, concurrency and real LLD interview problems with practical examples.
What you'll learn
⚡ Approach LLD interview problems systematically by converting requirements into classes, interfaces, relationships, and responsibilities.
⚡ - Learn how to explain your design choices, discuss trade-offs, and confidently defend your design during SDE interviews. ChatGPT can make mista
⚡ Learn commonly used Design Patterns such as Factory, Strategy, Observer, Decorator, State, Builder, and more.
⚡ Design popular interview problems such as Parking Lot, Elevator System, Vending Machine, Movie Booking System, Rate Limiter, and Notification System.
Requirements
❗ No prior knowledge of Low-Level Design, SOLID principles, UML, or Design Patterns is required.
Description
MasterLow Level Design (LLD) and learn how to approach system design interviews with a structured, interview-focused methodology.
This course is designed for software engineers preparing forSDE-1, SDE-2, Senior Software Engineer and Backend Engineer interviews where Low Level Design, Object-Oriented Design and Design Patterns are frequently tested.
My Students from Live Cohorts have cracked Top Companies so Stay assured and enjoy learning.
Instead of simply memorizing design patterns, you will learnwhen to use them, why they are required, and how they improve real software designs.
We will start with the fundamentals ofObject-Oriented Programming, UML and SOLID principles, and gradually move toward commonly used design patterns and complete LLD interview problems.
You will learn
✨ Object-Oriented Programming concepts for LLD interviews
✨ SOLID principles with practical examples
✨ UML and class diagram fundamentals
✨ Creational, Structural and Behavioral Design Patterns
✨ Factory, Builder, Strategy, Observer, Decorator, Adapter, State, Command and other important patterns
✨ How to convert requirements into classes and relationships
✨ How to identify entities, responsibilities and abstractions
✨ How to write extensible and maintainable designs
✨ Concurrency and multithreading considerations in LLD
✨ How to explain and defend your design during interviews
✨ Step-by-step approaches for solving LLD interview questions
The course also covers several popular interview problems such asParking Lot, Elevator, Vending Machine, Notification System, Rate Limiter, BookMyShow, Tic-Tac-Toe, Payment System, Ride Booking and other real-world systems.
Who this course is for
⭐ Students and working professionals targeting product-based and top tech companies.
Homepage
https://rapidgator.net/file/def7823f6c650a63e37d9f249df5080e/Crack_LLD_Interviews_of_Top_Product_Based_Companies.part1.rar.html
https://rapidgator.net/file/94eaf049d2ab1e6d04bae848d9f0a682/Crack_LLD_Interviews_of_Top_Product_Based_Companies.part2.rar.html
https://rapidgator.net/file/4595261b85ad6ff81baa8e7ee6ab3212/Crack_LLD_Interviews_of_Top_Product_Based_Companies.part3.rar.html
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Category: Tutorials
- views: 114
- date: 4 October 2026
- posted by: 0nelove
Defense Cybersecurity & IT Architecture
Published 10/2026
Created by Sanru online Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 59 Lectures ( 12h 27m ) | Size: 4.4 GB
Learn Defense IT Architecture, Cybersecurity, Digital Engineering, PLM, Secure Networks & Data Management
What you'll learn
⚡ Analyze how defense IT connects engineering, logistics and cybersecurity to support mission-critical operations.
⚡ Create high-level architecture diagrams showing how defense systems exchange data and collaborate securely.
⚡ Map the digital engineering lifecycle, connecting requirements, models, testing and operational feedback.
⚡ Explain how PLM supports configuration control, engineering changes and traceability throughout a defense product's lifecycle.
⚡ Propose secure network architectures using segmentation, identity-based access, encryption and resilience principles.
⚡ Assess defense database governance, including data classification, access control, audit trails and data quality.
⚡ Identify insider threats and supply chain risks, and explain monitoring, incident response and vulnerability management principles.
⚡ Develop high-level recommendations for defense scenarios using guided activities and suggested answers.
Requirements
❗ No previous experience in the defense sector is required. The course explains the essential concepts from the ground up.
❗ A basic understanding of IT systems, networks or cybersecurity is helpful, but no advanced technical knowledge is required.
❗ No programming skills, specialized software or access to military systems are required.
❗ Students should be willing to analyze fictional defense scenarios and create high-level diagrams, tables and written recommendations.
Description
This course contains the use of artificial intelligence.
Defense Cybersecurity & IT Architecture is a practical, structured introduction to the technologies, architecture principles, cybersecurity concepts, and digital engineering practices used in modern defense environments.
Defense organizations and contractors operate in environments where technology decisions can affect much more than productivity. Systems must supportmission continuity, sensitive information, long lifecycle assets, secure collaboration, engineering processes, logistics, maintenance, and operational decision-making.
This course was designed to help you understand how these elements fit together.
Rather than focusing only on isolated cybersecurity tools, you will explore the broader digital ecosystem behind defense organizations and defense contractors, includingIT architecture, enterprise architecture, digital engineering, Product Lifecycle Management (PLM), secure networks, defense databases, data governance, and cybersecurity risk management.
The course currently containsseven fully developed modules, covering
✨ Defense IT architecture and mission-critical systems
✨ Enterprise, solution, and technical architecture concepts
✨ Digital engineering, MBSE, digital threads, and digital twins
✨ Product Lifecycle Management and configuration control
✨ Secure defense networks and communications architecture
✨ Military databases, data governance, traceability, and data quality
✨ Cybersecurity principles for defense environments
But this is not a course built only around presentations.
Each module includes apractical activity based on a fictional defense organization or contractor, allowing you to apply the concepts in realistic consulting-style scenarios.
You may be asked to analyze digital systems, map architectures, evaluate lifecycle information, assess network segmentation, review database governance, identify cybersecurity risks, recommend controls, or prepare professional technical recommendations.
These activities are especially useful for
IT and cybersecurity professionals who want to understand defense-sector environments.
Consultants and technology advisors who need to analyze systems, risks, architecture, governance, and modernization initiatives.
Systems analysts and IT architects interested in secure and mission-oriented architecture.
Engineers and technical professionals who want to understand how digital engineering, PLM, cybersecurity, networks, and enterprise systems interact.
University professors and instructors looking for structured examples, case studies, and practical exercises that can support teaching.
Students and professionals entering the defense technology sector who need a strong conceptual foundation before moving into more specialized areas.
The course also includesmodule quizzes designed to reinforce understanding through practical scenarios rather than simple memorization.
Throughout the course, the focus is on understandingwhy architecture and cybersecurity decisions matter.
You will learn to think about questions such as
What happens if a mission-critical system fails?
How should engineering, logistics, cybersecurity, and operational systems communicate?
How can organizations protect sensitive technical information while still collaborating with contractors and suppliers?
How can digital engineering maintain traceability from requirements to testing, deployment, maintenance, and modernization?
How should legacy systems coexist with modern technologies?
How can organizations manage vulnerabilities, incidents, configuration changes, access control, and operational risk?
The objective is not to design real classified military systems. Instead, the course usesfictional and high-level defense scenarios to teach concepts that can be transferred to real professional environments while maintaining an educational and responsible approach.
A course designed to keep evolving
Defense Cybersecurity & IT Architecture is a living course.
The current release provides seven complete modules together with their practical activities, quizzes, explanations, and supporting learning resources.
As the course evolves,new modules, practical activities, examples, and resources may be added based on developments in defense technology, cybersecurity, digital engineering, architecture practices, and student feedback.
This means that joining the course is not only about accessing the material available today. You are joining a course designed togrow and evolve over time.
If you are interested in understanding howcybersecurity, IT architecture, digital engineering, PLM, secure communications, data management, and mission requirements come together in the defense sector, this course will give you a structured foundation and a practical way to begin thinking like a defense IT professional or consultant.
Who this course is for
⭐ IT architects and systems analysts who want to understand how digital systems operate within defense environments.
⭐ Cybersecurity professionals seeking a broader view of defense networks, sensitive data, operational risk and security governance.
⭐ Consultants and digital transformation advisors preparing to support defense organizations, contractors or technology suppliers.
⭐ Engineering, PLM and data professionals interested in digital engineering, lifecycle management and secure information sharing.
⭐ Project managers and technology vendors who need to communicate effectively across engineering, IT and cybersecurity teams.
⭐ Professionals working for defense contractors or suppliers who want to better understand architecture, cybersecurity and data responsibilities.
https://rapidgator.net/file/5757755f693fbacd0aad409073dceb50/Defense_Cybersecurity_&_IT_Architecture.part1.rar.html
https://rapidgator.net/file/16325fd9b9a20e40e3b5f414e1a3e7da/Defense_Cybersecurity_&_IT_Architecture.part2.rar.html
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Category: Tutorials
- views: 187
- date: 4 October 2026
- posted by: 0nelove
Generative AI for Cybersecurity: ChatGPT & Codex
Published 10/2026
Created by Rafał Podraza
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 59m ) | Size: 2.6 GB
Use ChatGPT and Codex for vulnerability analysis, threat detection, incident response, secure code review and testing.
What you'll learn
⚡ Understand how AI supports cybersecurity work
⚡ Use ChatGPT for security analysis
⚡ Use Codex for secure code review
⚡ Analyze vulnerabilities with AI assistance
⚡ Review security logs and alerts
⚡ Support incident response activities
⚡ Generate security tests and scripts
⚡ Create and improve detection rules
⚡ Identify insecure coding patterns
⚡ Apply Human-in-the-Loop validation
Requirements
❗ Basic understanding of cybersecurity concepts
❗ No previous AI experience required
❗ Curiosity and interest in practical cybersecurity
Description
This course contains the use of artificial intelligence.
Generative AI for Cybersecurity: ChatGPT & Codex
Learn how to use Generative AI, ChatGPT, and Codex to analyze vulnerabilities, investigate security events, respond to incidents, and improve secure code.
Welcome to"Generative AI for Cybersecurity: ChatGPT & Codex" – a practical, hands-on course for cybersecurity professionals, developers, QA engineers, and IT specialists who want to understand how AI can support modern security workflows.
In this course, you'll discover howChatGPT and Codex can assist with vulnerability analysis, security log investigation, threat detection, incident response, secure code review, security testing, and automation.
Instead of working only with theory, you will useBookStay, a realistic security training application with users, bookings, APIs, security logs, alerts, incidents, detection rules, and controlled attack simulations.
No unnecessary theory overload – the focus is onrealistic security scenarios, practical prompts, code analysis, and hands-on workflows that you can reuse in your own work.
What You'll Learn
✨ How Generative AI can support SOC, AppSec, and Incident Response teams
✨ How to use ChatGPT and Codex effectively in cybersecurity workflows
✨ How to perform AI-assisted vulnerability analysis
✨ How to identify Broken Access Control, IDOR, Mass Assignment, and sensitive data exposure
✨ How to analyze security logs and suspicious authentication activity
✨ How to detect brute-force attempts, booking enumeration, and unauthorized access patterns
✨ How to classify and prioritize security alerts
✨ How to extract Indicators of Compromise and prepare investigation summaries
✨ How to investigate a simulated account takeover incident
✨ How to determine incident scope and business impact
✨ How to prepare containment, remediation, and root cause analysis
✨ How to create a professional post-incident report with AI assistance
✨ How to generate security log analysis scripts with Codex
✨ How to create AI-assisted detection rules
✨ How to perform secure code reviews and generate security regression tests
✨ How to refactor insecure code and validate security fixes
✨ How to protect sensitive data when working with AI
✨ How to recognize AI hallucinations, prompt injection, and AI-agent risks
✨ How to apply Human-in-the-Loop principles in cybersecurity
Hands-On BookStay Security Lab
Throughout the course, you will work with theBookStay Security Lab, where you will
✨ Analyze vulnerable API endpoints
✨ Investigate authentication and authorization problems
✨ Generate controlled security events
✨ Analyze logs with ChatGPT
✨ Investigate alerts and incidents
✨ Simulate an account takeover
✨ Perform root cause analysis
✨ Create containment and remediation plans
✨ Build detection rules
✨ Generate security tests with Codex
✨ Refactor insecure code
✨ Validate security fixes
Practical Exercises
The course also includes practical exercises where you will apply the techniques independently.
You will analyze security evidence, work with suspicious activity, review code, and make decisions based on the available data.
You will also complete anAI Security Analyst role-play, where you investigate a suspected account takeover and prepare a concise security briefing.
At the end of the course, you will complete atheoretical final exam to verify your understanding of the most important concepts.
Who this course is for
⭐ Cybersecurity professionals
⭐ SOC analysts
⭐ Anyone interested in AI-assisted security workflows
https://rapidgator.net/file/de7f8a6205e72b04674d6b1c73eb50e3/Generative_AI_for_Cybersecurity_ChatGPT_&_Codex.part1.rar.html
https://rapidgator.net/file/a15ec43f37f6643fed7775e182cfc98a/Generative_AI_for_Cybersecurity_ChatGPT_&_Codex.part2.rar.html
https://rapidgator.net/file/4c9ee6c46af48d9c65c4caa138d35b78/Generative_AI_for_Cybersecurity_ChatGPT_&_Codex.part3.rar.html
https://www.uploadcloud.pro/d1dp0rax0ker/Generative_AI_for_Cybersecurity_ChatGPT__amp__Codex.part1.rar.html
https://www.uploadcloud.pro/tlcasg3tuc86/Generative_AI_for_Cybersecurity_ChatGPT__amp__Codex.part2.rar.html
https://www.uploadcloud.pro/eqr9l3hjaqc1/Generative_AI_for_Cybersecurity_ChatGPT__amp__Codex.part3.rar.html
https://rapidgator.net/file/a15ec43f37f6643fed7775e182cfc98a/Generative_AI_for_Cybersecurity_ChatGPT_&_Codex.part2.rar.html
https://rapidgator.net/file/4c9ee6c46af48d9c65c4caa138d35b78/Generative_AI_for_Cybersecurity_ChatGPT_&_Codex.part3.rar.html
https://www.uploadcloud.pro/d1dp0rax0ker/Generative_AI_for_Cybersecurity_ChatGPT__amp__Codex.part1.rar.html
https://www.uploadcloud.pro/tlcasg3tuc86/Generative_AI_for_Cybersecurity_ChatGPT__amp__Codex.part2.rar.html
https://www.uploadcloud.pro/eqr9l3hjaqc1/Generative_AI_for_Cybersecurity_ChatGPT__amp__Codex.part3.rar.html
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