Category: Tutorials
- views: 138
- date: 15 October 2026
- posted by: 0nelove
Managing Cloud Risk, Compliance, and Sovereignty
Released 10/2026
By James Willett
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 5m 59s | Size: 226.6 MB
As organizations scale their cloud investments, they face a growing web of security risks, regulatory requirements, and sovereignty constraints — often without a structured way to evaluate them.
As organizations scale their cloud investments, they face a growing web of security risks, regulatory requirements, and sovereignty constraints — often without a structured way to evaluate them. In this course, Managing Cloud Risk, Compliance, and Sovereignty, you'll gain the ability to evaluate governance and security risks associated with cloud adoption and assess regulatory and sovereignty considerations in cloud strategy. First, you'll explore the shared responsibility model between cloud providers and customers and identify common security concerns. Next, you'll discover how governance mechanisms like policy-as-code and cloud centers of excellence help organizations manage cloud resources and policies. Finally, you'll learn how to recognize regulatory pressures influencing cloud adoption in regulated industries, identify data residency and sovereignty requirements, and evaluate vendor dependency when selecting cloud platforms. When you're finished with this course, you'll have the knowledge and vocabulary of cloud risk management needed to collaborate effectively with security teams, legal stakeholders, and engineering leadership to balance innovation with operational and regulatory risk.
https://www.uploadcloud.pro/1tq69d1n1h4a/Managing_Cloud_Risk__Compliance__and_Sovereignty.rar.html
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Category: Tutorials
- views: 160
- date: 15 October 2026
- posted by: 0nelove
How to Read Electrical Drawings & Schematics
Published 10/2026
Created by Christian Lopes
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 25 Lectures ( 36m ) | Size: 91.5 MB
Read plans, one-lines, panel schedules and ladder diagrams with confidence, from a licensed C-10 electrical contractor
What you'll learn
⚡ Navigate an electrical drawing set and find the sheet, note or schedule you need
⚡ Decode symbols, legends, abbreviations and scale
⚡ Trace circuits, homeruns and switch legs on residential and commercial plans
⚡ Read one-line diagrams, riser diagrams and panel schedules
⚡ Interpret lighting, fire alarm and low-voltage drawings
⚡ Read ladder diagrams and motor starter control schematics
Requirements
❗ No prior drawing experience is needed; if you know what a receptacle and a breaker are, you are ready
❗ Basic familiarity with electrical work is helpful but not required
Description
This course contains the use of artificial intelligence.
Electrical drawings are the job. Miss one general note or misread one symbol and the crew pays for it in rework. I'm Christian, a licensed C-10 electrical contractor in San Diego and an electrical engineer with more than six years in semiconductor fabs. I've read drawings as an engineer, as an estimator and as the person holding the pliers, and this course teaches you the method I use.
In 25 short lectures you will learn how a drawing set is organized, how to use legends, scale and abbreviations, and how to follow circuits from device to panel on residential and commercial plans. You will read one-line diagrams, riser diagrams and panel schedules, work through lighting, fire alarm and low-voltage drawings, and finally understand ladder diagrams and motor starter control schematics. The last section covers details, revision clouds, RFIs and a repeatable reading routine you can use on every set.
What you get: 25 video lectures, a downloadable PDF Electrical Symbols and Abbreviations Cheat Sheet with a sample panel schedule explained and a ladder-diagram legend, and a quiz at the end of every section so you can check your understanding.
Disclaimers: this course is educational and does not replace the current adopted electrical code, the project specifications or the engineer of record. Symbols and conventions vary between designers, so always check the legend and general notes for the project in front of you.
About the production: the narration in this course is generated with an AI text-to-speech voice, and the slides were produced with AI-assisted tools. The content was written and reviewed by the instructor.
Who this course is for
⭐ Apprentice electricians who want to move faster on the job
⭐ Journeyman electricians stepping into foreman or estimating roles
⭐ Engineers, facility technicians and maintenance staff who work from electrical drawings
⭐ Career changers entering the electrical trade
https://www.uploadcloud.pro/mhht3whadd3o/How_to_Read_Electrical_Drawings__amp__Schematics.rar.html
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Category: Tutorials
- views: 136
- date: 15 October 2026
- posted by: 0nelove
Excel Lookup Functions in Depth: Master XLOOKUP, VLOOKUP
Published 10/2026
Created by Mian Qusain
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures ( 1h 0m ) | Size: 794.3 MB
Learn to find, retrieve, match, and analyze data efficiently using Excel lookup functions with practical, real-world exa
What you'll learn
⚡ Understand the fundamentals of Excel lookup functions.
⚡ Use VLOOKUP to retrieve data from tables.
⚡ Apply HLOOKUP to search horizontally.
⚡ Master XLOOKUP in supported Excel versions.
⚡ Use INDEX and MATCH together for flexible lookups.
⚡ Perform exact-match and approximate-match searches.
⚡ Retrieve data from large datasets efficiently.
⚡ Perform two-way lookups using rows and columns.
⚡ Apply lookup functions to practical business scenarios.
⚡ Use multiple criteria in lookup formulas.
⚡ Handle missing values and customize error messages.
⚡ Identify and fix common lookup formula errors.
⚡ Understand the differences between VLOOKUP, XLOOKUP, and INDEX-MATCH.
⚡ Improve spreadsheet accuracy and reduce manual searching.
Requirements
❗ Basic knowledge of Excel worksheets, cells, rows, columns, and formulas is helpful.
❗ No programming or VBA knowledge is required.
❗ A willingness to follow the lessons and practice the examples.
Description
Welcome toExcel Lookup Functions in Depth, a practical course designed to help you become more confident and efficient when working with data in Microsoft Excel.
Lookup functions are among the most useful tools in Excel. They help you find specific information in large datasets, connect related information across tables, retrieve matching values, and reduce the time spent searching through spreadsheets manually. Whether you work with financial reports, sales records, employee databases, inventory lists, customer information, or business data, understanding lookup functions can make your work faster and more accurate.
In this course, you will explore Excel lookup functions step by step, starting with the fundamentals and gradually moving toward more advanced techniques. You will learn how to use traditional functions such as VLOOKUP and HLOOKUP, as well as modern functions such as XLOOKUP. You will also discover how INDEX and MATCH work together to create flexible lookup formulas.
What makes this course valuable?
This course focuses on practical learning rather than memorizing formulas. You will understand how lookup functions work, when to use each function, and how to apply them to different spreadsheet situations. Through practical examples, you will develop the skills needed to retrieve information accurately and solve common Excel data problems.
You will learn how to search for values vertically and horizontally, perform exact and approximate matches, handle missing results, and troubleshoot common formula errors. You will also explore two-way lookups, multiple-criteria lookups, and techniques for combining functions to solve more complex tasks.
The course will help you understand the differences between older lookup methods and newer Excel capabilities. You will discover why XLOOKUP is useful in supported Excel versions and how INDEX and MATCH can provide flexibility when working with different table structures.
In addition, you will learn how to make your formulas easier to read, maintain, and reuse. These skills can help you improve spreadsheet organization and reduce repetitive manual work when dealing with large amounts of information.
Who should take this course?
This course is suitable for students, office employees, accountants, finance professionals, business analysts, administrative staff, data enthusiasts, and anyone who wants to improve their Excel skills. Beginners who understand basic spreadsheet operations can follow the lessons, while intermediate Excel users can strengthen their knowledge and learn more advanced lookup techniques.
No advanced programming knowledge is required. With a willingness to practice and explore the examples, you can gradually build the confidence to use lookup formulas in your own projects.
By the end of this course, you will have a stronger understanding of Excel lookup functions and how they can be used to solve everyday data challenges. You will be better prepared to organize information, retrieve matching records, analyze spreadsheets, and work more efficiently with Excel.
Enroll today and take the next step toward mastering one of the most practical and valuable areas of Microsoft Excel.
Who this course is for
⭐ Beginners who want to learn Excel lookup functions.
⭐ Students who want to improve their spreadsheet skills.
⭐ Accountants and finance professionals working with financial data.
⭐ Data analysts who regularly search and retrieve information.
⭐ Office employees who manage reports and records.
⭐ Business professionals who work with sales, inventory, or customer data.
⭐ Intermediate Excel users who want to master advanced lookup techniques.
⭐ Anyone who wants to save time and improve productivity in Excel.
https://www.uploadcloud.pro/7au8qu3i470g/Excel_Lookup_Functions_in_Depth_Master_XLOOKUP__VLOOKUP.rar.html
https://rapidgator.net/file/0c1e874327036afa6e69cc9c72581f14/Excel_Lookup_Functions_in_Depth_Master_XLOOKUP,_VLOOKUP.rar.html
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Category: Tutorials
- views: 162
- date: 15 October 2026
- posted by: 0nelove
Customization with ZAP
Released 10/2026
By Mike Woolard
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 44m 55s | Size: 174.5 MB
Scans using default settings rarely fit the application in front of you.
Scans using default settings rarely fit the application in front of you. They run too long, attack things you do not own, and bury real findings under false positives. In this course, Customization with ZAP, you'll learn to tailor ZAP to a specific target so your scans are faster and more accurate. First, you'll explore how to build and tune scan policies, adjusting alert thresholds, attack strength, and performance settings to control what ZAP tests and how hard it hits. Next, you'll discover how to control scan scope using contexts, include and exclude rules, and regular expressions that keep third-party and static content out of your results. Finally, you'll learn how to analyze the alerts, filtering by confidence and evidence, suppressing verified false positives, and documenting your rationale. When you're finished with this course, you'll have the skills and knowledge of ZAP customization needed to deliver targeted and defensible web application scans.
https://www.uploadcloud.pro/82xgnw9vf7cy/Customization_with_ZAP.rar.html
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Category: Tutorials
- views: 128
- date: 15 October 2026
- posted by: 0nelove
Data Sharing Explained
Released 10/2026
By Ben Howard
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 33m 13s | Size: 423.5 MB
Data scattered across disconnected systems slows decisions, creates inconsistencies, and makes even simple tasks harder than they should be.
Data scattered across disconnected systems slows decisions, creates inconsistencies, and makes even simple tasks harder than they should be.
In this course, Data Sharing Explained, you'll gain the ability to choose and maintain the right approach for combining data in your own situations.
First, you'll explore why information ends up fragmented across tools and why combining it requires both record‑matching and ongoing upkeep.
Next, you'll discover the spectrum of self‑service methods, from manual exports to no‑code connectors to AI‑assisted reconciliation, and what each is best suited for.
Finally, you'll learn how personal data solutions scale to teams and enterprises, and when a self‑service approach should transition to a governed, IT‑owned one.
When you're finished with this course, you'll have the skills and knowledge of practical data integration needed to select, build, and sustain an approach that balances speed with long‑term reliability.
Homepage
https://www.uploadcloud.pro/4gi2c9n0vojy/Data_Sharing_Explained.rar.html
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Category: Tutorials
- views: 141
- date: 15 October 2026
- posted by: 0nelove
Dayan Chi Kung: Master the 64 Forms of Wild Goose Qigong
Published 10/2026
Created by I&I Sports Supply Company
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 5 Lectures ( 2h 35m ) | Size: 6.4 GB
What you'll learn
⚡ Individuals seeking low-impact exercises for health, longevity, and stress reduction.
⚡ Practitioners of Tai Chi or other Qigong styles looking to broaden their internal arts knowledge.
⚡ Seniors or those interested in traditional Chinese "Elderly Physical Culture" for vitality.
⚡ Anyone interested in Taoist philosophy and its practical application through movement.
Requirements
❗ Individuals seeking low-impact exercises for health, longevity, and stress reduction.
Description
✨ Note: This course contains the use of artificial intelligence in the form of AI Voiceover which was used ONLY in course trailer
✨ Welcome to the definitive guide toDayan Chi Kung, more commonly known as theWild Goose Breathing Exercise. This ancient healing art, handed down through the exclusive Taoist Kunlun School, is now accessible to you through the expert guidance of the lateGrandmaster Wen-Mei Yu.
Master Yu was a world-renowned authority in Chinese internal martial arts, Taijiquan, and Qigong. With over 40 years of teaching experience, including her tenure as a professor at Jin Wu Athletic College, she brings a deep, scholarly, and practical understanding of how these movements interact with the body's energetic systems.
What is Dayan Chi Kung? Dayan Chi Kung literally translates to "Wild Goose Breathing Exercise." It is a specialized system that imitates the graceful postures and movements of the wild goose while assimilating ancientDao Yin methods. The practice is unique for its rhythm—alternating between vigorous and gentle movements, and balancing motion with profound stillness.
The Benefits: This practice is designed to clear theJingmai—the pathways through whichChi (vital energy) flows. By following this 64-form sequence, practitioners aim to
✨ Promote healthy blood circulation.
✨ Clear energetic blockages in the meridian system.
✨ Balance the body's internal organs.
✨ Enhance overall longevity and mental clarity.
In this comprehensive series, Grandmaster Yu provides a full demonstration of the 64-form set, explains the essentialacu-meridian points, and offers meticulous, step-by-step instruction. Whether you are seeking a daily health ritual or a deeper connection to Taoist internal arts, this course serves as an essential companion for your wellness journey.
4. What You'll Learn (4 short points)
✨[REQUIRED] What will students learn in your course?
✨
✨ Master the complete 64-form sequence of Dayan (Wild Goose) Chi Kung with precision.
✨
✨ Understand the basic acu-meridian points and how they relate to the flow of vital energy (Chi).
✨
✨ Apply ancient Dao Yin methods to balance vigorous movement with meditative stillness.
✨
✨ Develop a daily practice to promote blood circulation and clear the body's energy pathways (Jingmai).
Who this course is for
⭐ No prior experience in Qigong or martial arts is required; movements can be adapted for most fitness levels.
https://www.uploadcloud.pro/0nc14iq04o5y/Dayan_Chi_Kung_Master_the_64_Forms_of_Wild_Goose_Qigong.part7.rar.html
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Category: Tutorials
- views: 139
- date: 15 October 2026
- posted by: 0nelove
Digital Health Masterclass: Strategy, AI & Implementation
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 13h 32m | Size: 7.49 GB
Health informatics, AI in healthcare, telemedicine, HL7 FHIR & digital health strategy for any health system
What you'll learn
Choose, evaluate and safely govern AI tools in clinical care using a practical scorecard grounded in WHO ethics and LMM guidance
Design a digital health strategy and investment case using WHO frameworks, adaptable to any national or organisational health system
Plan a digital health rollout from pilot to scale: requirements, procurement, change management, go-live, M&E and sustainability
Build a complete Digital Health Implementation Plan for your own project, using 15 ready-to-use professional templates
Explain how EHRs, DHIS2, LIS and telehealth exchange data with HL7 FHIR, ICD-11 and OpenHIE, and test it on a public FHIR server
Set up a safe telemedicine service: models, clinical safety, consent, licensing and low-bandwidth options for real settings
Protect patient data across GDPR, HIPAA and African and Asian data laws, and run a data protection impact assessment
Turn routine health data into decisions with data-quality checks, the right indicators and dashboards people actually use
Requirements
No coding or technical background needed - every technical idea is explained from first principles.
A computer with a modern web browser and internet access (for the free public demos).
Optional: a spreadsheet app for the costing and dashboard exercises; one optional FHIR exercise uses a command line (a browser alternative is shown).
Curiosity about how technology can improve health care.
Description
This course contains the use of artificial intelligence.
Most digital health projects fail for reasons that have little to do with the technology: strategy, people, data, safety and money were planned apart. This masterclass shows you how to plan them together, from the foundations of digital health to a real implementation in a hospital, a district, a country or a start-up. It is global by design, with cases from the US, UK and Europe, India and Africa, so what you learn works in any health system, including low-resource settings.
Plan, Govern and Scale Digital Health and AI in Any Health System
Created by a physician who designs, builds and implements digital health and AI systems, this course gives you the frameworks, the evidence and the working tools to do the same.
What makes this course different
- Designed and checked by a physician-implementer. Dr. Temesgen Endalew designed the curriculum, shaped and edited every lecture script, selected and checked the evidence, and built the templates and assessments. Most cases are real and cited to peer-reviewed research or official sources.
- Clear, calm delivery - no slide reading. A professional AI voice narrates over picture-led visuals, with accurate English captions written from the script.
- Hands-on, without coding. Guided, step-by-step walkthroughs you repeat yourself on free public demo systems: explore a DHIS2 health information system, tour the OpenMRS open-source EMR, read an HL7 message line by line, search and create synthetic data on a public HL7 FHIR server, and build a district dashboard in a spreadsheet from sample data.
- A complete toolkit. 15 practical templates you can use at work: strategy canvas, requirements template, interoperability checklist, telehealth SOP, DPIA template, AI evaluation scorecard, vendor/RFP checklist, total-cost-of-ownership calculator, go-live checklist and risk register.
- A finished capstone. Step by step, you build your own Digital Health Implementation Plan.
What you will learn
- Digital health foundations - eHealth, mHealth, telehealth and health informatics; the WHO classification of digital interventions; maturity assessment.
- Strategy and governance - how to build a digital health strategy and investment case using WHO frameworks.
- Health information systems - EHR/EMR, HMIS and DHIS2, laboratory, pharmacy, imaging, registries and identity.
- Interoperability - HL7 v2, HL7 FHIR, ICD-11, SNOMED CT, LOINC and OpenHIE, explained without jargon.
- Telemedicine and virtual care - models, clinical safety, regulation, low-bandwidth options and business models.
- mHealth and the frontline - community health information systems, SMS/USSD, offline-first design and WHO SMART Guidelines.
- Data to decisions - data quality, indicators and dashboards that people actually use.
- AI in healthcare - what AI can and cannot do, large language models, AI scribes, how AI fails, and how to read an AI study.
- AI governance and safety - WHO guidance, regulation, an AI evaluation scorecard and safe use of LLMs.
- Privacy, security and ethics - GDPR, HIPAA and data protection laws in Africa and Asia, DPIAs and cybersecurity.
- Implementation from pilot to scale - requirements, procurement, change management, training, go-live and scaling.
- Monitoring, evaluation and sustainability - logic models, evaluation designs, total cost of ownership and financing.
- Careers and leadership - roles, skills and how to move into digital health.
Course format: over 13 hours of video in 152 short lectures (most 4-7 minutes), 14 section quizzes with 106 questions, four practical assignments with model answers, a 60-question final practice test with explained answers, 15 downloadable templates plus a synthetic sample dataset, accurate English captions written from the script, and a Udemy certificate of completion. Lectures that go deeper for clinical or technical learners carry a Clinical or Technical tag, so you can stay or skip. 2026 edition, updated yearly.
Real cases you will study include India's eSanjeevani, a public telemedicine service that passed 500 million consultations in 2026; Babyl, Rwanda's nationwide private telehealth service that halted in 2023 as its parent company collapsed; Uganda's 2012 moratorium on mHealth pilots; England's National Programme for IT, which cost close to GBP 10 billion; a diabetic-retinopathy AI tested in Thai clinics; and a widely used sepsis prediction model that did not hold up in external validation. The rest are teaching scenarios built from common patterns, and each one is labelled as a composite case.
If you want to lead digital health - not just talk about it - enrol now and start building your plan today.
Transparency: Dr. Temesgen Endalew designed and structured this course, chose every case and source, and is responsible for every claim in it. Scripts, slide visuals and quiz and test questions were drafted with AI tools from his outline and sources, then fact-checked against the cited references and edited by him. The lectures are narrated by a professional AI voice.
This course contains a promotion.
Who this course is for
Doctors, nurses, pharmacists, laboratory and public health professionals moving into digital health or informatics roles
Health IT, software, data and product professionals who need to understand how health systems really work
Hospital, ministry and NGO managers responsible for digital health programmes
Digital health founders, consultants and investors who want implementation that lasts
Students of medicine, public health, health informatics and health management
Anyone preparing to lead an EHR, telemedicine, data or AI project in health care
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Category: Tutorials
- views: 121
- date: 15 October 2026
- posted by: 0nelove
Drawing Is Everything: Construct to Deconstruct
Published 10/2026
Created by Robert Joyner
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 21m ) | Size: 1.9 GB
Build structure, break it apart with intention, then use time and repetition to draw simpler, looser, more expressive
What you'll learn
⚡ Mindset + The System Overview
⚡ Why Finished Art Is A Trap
⚡ Construct → Deconstruct: Simple Objects
⚡ Complex Subject Construction
⚡ Complex Subject Deconstruction
⚡ Progressions: Train Speed + Confidence and much more...
Requirements
❗ Basic drawing skills and materials.
Description
You don't have a drawing problem. You have a thinking problem.
This is the process that drives the entire Deconstruction Lab:Construct → Deconstruct → Progress.
Construct: see your subject structurally and build it with understanding, not copying. Deconstruct: break it apart, draw it faster, and cut what isn't essential. This is where expression begins. Progress: push until it falls apart. 2 minutes, 1 minute, 30 seconds. Time forces simplification, and repetition rewires your brain.
What you'll learn
✨ Why finished art is a trap
✨ Constructing and deconstructing simple and complex subjects
✨ Timed progressions to train speed and confidence
✨ Drawing two and three objects: relationships, spacing, and decisions
✨ Line and mark making: variety without chaos
✨ Drawing from the wrist, elbow, and shoulder
✨ Angles vs. curves: how edges create energy
✨ Three ways to build form
✨ How to push a drawing until it breaks, then recover it
How the class works
✨ 16 lessons
✨ 7 assignments
✨ Self-paced, with demos you can draw along with
Who it's for
Anyone who wants looser, more confident drawing. Best after Drawing Fundamentals.
Build structure, break it apart with intention, then use time and repetition to draw simpler, looser, and more expressive.
Suited for all levels and anyone that wants a reliable approach to loosening up.
Who this course is for
⭐ Anyone who wants looser, more confident drawing. Best taken after Drawing Fundamentals, since this class applies those ideas.
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Category: Tutorials
- views: 194
- date: 15 October 2026
- posted by: 0nelove
Forward Deployed Engineer
Published 10/2026
Created by JayTech AI Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 40 Lectures ( 8h 15m ) | Size: 4 GB
Learn customer discovery, APIs, AI agents, system integration, and real-world Forward Deployed Engineer
What you'll learn
⚡ Conduct structured customer and stakeholder discovery.
⚡ Translate business problems into technical requirements.
⚡ Design technical architectures for complex customer environments.
⚡ AI application development and deployment
⚡ Python programming and API integration
⚡ AI workflow automation
Requirements
❗ Learners should have basic familiarity with one or more of the following: Software development APIs Databases Cloud computing Technical product implementation Basic programming concepts Advanced programming expertise is not required for every section.
Description
"This course contains the use of artificial intelligence."
Forward Deployed Engineers bridge the gap between advanced technology and business needs. They work directly with clients and organizations to understand complex problems, develop customized technical solutions, integrate AI systems, and deliver measurable business results.
In this hands-on course, you'll explore the essential skills, tools, and strategies needed to succeed as a Forward Deployed Engineer in today's rapidly evolving AI industry.
Whether you're a software developer, AI enthusiast, IT professional, consultant, or aspiring technology engineer, this course will help you develop the technical and business skills required to deliver practical AI solutions.
What You'll Learn
By the end of this course, you will be able to
✨ Understand the role and responsibilities of a Forward Deployed Engineer.
✨ Identify business challenges and translate client requirements into technical solutions.
✨ Design and develop AI-powered applications and intelligent automation workflows.
✨ Integrate APIs, databases, large language models (LLMs), and enterprise systems.
✨ Apply prompt engineering and AI agent development techniques.
✨ Build scalable solutions using modern software engineering principles.
✨ Understand cloud infrastructure, deployment workflows, and system integration.
✨ Implement testing, monitoring, security, and responsible AI practices.
✨ Collaborate effectively with clients, technical teams, and business stakeholders.
✨ Manage real-world AI implementation projects from discovery to deployment.
✨ Develop a portfolio of practical Forward Deployed Engineering projects.
✨ Explore career opportunities in AI engineering, technical consulting, and enterprise AI deployment.
Course Highlights
Practical AI Engineering: Learn how AI technologies can be applied to solve business problems.
Real-World Applications: Explore practical use cases involving AI automation, enterprise integrations, and intelligent systems.
Client-Focused Problem Solving: Develop the communication and technical skills needed to work directly with organizations.
End-to-End Deployment: Understand the complete lifecycle of designing, building, testing, and deploying technical solutions.
Career Development: Discover how to position yourself for Forward Deployed Engineer roles in AI companies, technology firms, startups, and consulting organizations.
Who this course is for
⭐ Software Engineers and Developers
⭐ AI and Machine Learning Engineers
⭐ Computer Science Students and Graduates
⭐ IT Professionals and Cloud Engineers
⭐ AI Consultants
⭐ Data Scientists and Data Engineers
⭐ Career Changers
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Category: Tutorials
- views: 120
- date: 15 October 2026
- posted by: 0nelove
Fabulous Adventures in Data Structures and Algorithms,Video Edition
Released 9/2026
By Eric Lippert
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 10h 28m | Size: 2.2 GB
"Rigorous, curious, quietly funny, and extraordinarily generous with hard-won insight."
"Rigorous, curious, quietly funny, and extraordinarily generous with hard-won insight." —Scott Hanselman, MicrosoftFabulous Adventures in Data Structures and Algorithms invites you to step off the beaten path and explore interesting, unfamiliar, and even exotic algorithms that will challenge your perspective and elevate your code. Legendary language designer Eric Lippert guides you with a refreshing, conversational approach, providing beautifully practical examples that highlight the recurring patterns behind stubborn coding problems. You'll begin with a fresh look at foundational, thread-safe, and persistent immutable data structures. Lippert demystifies stacks, queues, and finger-tree deques, illustrating how to manage memory efficiently through persistence. For developers working in highly concurrent, cloud native environments, these patterns will help you eliminate hard-to-spot race conditions and state-mutation bugs. Your fabulous adventure then turns to structural search, compiler design, and the integration of functional programming within mainstream object-oriented languages. You'll dive into Directed Acyclic Word Graphs (DAWGs), greedy pretty printers, and the complexities of tree unification. This section bridges theory and real-world tools, teaching you how to design highly modular compilers or robust static analysis engines and to write declarative, composable, and expressive APIs. In the final leg of your journey, you'll model randomness, statistical reasoning, and continuous probability—core concepts for AI and predictive analytics. Lippert introduces advanced Bayesian and monadic techniques, teaching you how to construct joint distributions and sample them using the powerful Metropolis algorithm. This statistical toolkit aligns perfectly with modern data-driven systems that need to make consistent, sound decisions under real-world uncertainty. In the age of AI coding, implementation is becoming cheaper. AI can write code, but it cannot relieve developers of responsibility for understanding what the code means, why a given solution was chosen, how it will scale, and whether the problem has been framed correctly. This book develops exactly that judgment. It teaches the part that is becoming more valuable: recognizing, selecting, questioning, and evaluating the ideas behind implementations. It is an apprenticeship in computational taste, taught through unusual and memorable examples.About the TechnologyAbout the BookWhat's Inside
Build highly efficient, thread-safe concurrent systems using immutable parts
Compress massive data representation sizes using memoized quadtrees and DAWGs
Solve complex compiler optimizations using unification and backtracking search
Automate precise, mathematically sound decisions under real-world uncertainty
About the ReaderFor working programmers familiar with C#, Java, or Python.About the AuthorEric Lippert has designed programming languages, compilers, and developer tools for Microsoft, Coverity, and Facebook. He was a key member of the C# language design team and writes at ericlippert.com.QuotesFilled with real-life examples and unique experiences drawn from the author's career journey. A true gem.- Anton Gubarenko, Independent iOS Consultant, Mentor, and Startup AdvisorGoes well beyond the typical text on data structures and algorithms.- Ronald Mak, Author of Software Design for Python ProgrammersSucceeds in making advanced topics accessible without oversimplifying them.- Stepan Plotytsia, Grid Dynamics Holdings, Inc.Balances beautifully practical examples with theoretical knowledge in a way I have rarely seen.- Marc Staff, Arcelor MittalA bit of knowledge explained by someone who understands it well and sees the practical side of it.- Oleksandr Kaleniuk, Materialise N. V.This book should be on every programmer's bookshelf!- Christof Ullwer, independent computer scientistIt's informative, the writing is a breath of fresh air, and the author truly does take you on a fabulous adventure.- Clyde Kallahan, Unlocked Labs
Screenshot
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Category: Tutorials
- views: 135
- date: 15 October 2026
- posted by: 0nelove
Hybrid and Multi-cloud Data Architecture: The Big Picture
Released 10/2026
By Landon Fowler
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 24m 18s | Size: 320.5 MB
Organizations rarely choose hybrid or multi-cloud deliberately; they inherit it through acquisitions, regulatory pressure, vendor decisions, and AI initiatives, and then struggle to explain the architecture they ended up with.
Organizations rarely choose hybrid or multi-cloud deliberately; they inherit it through acquisitions, regulatory pressure, vendor decisions, and AI initiatives, and then struggle to explain the architecture they ended up with. In this course, Hybrid and Multi-cloud Data Architecture: The Big Picture, you'll gain the ability to explain the strategic drivers and core concepts behind hybrid and multi-cloud data architecture. First, you'll explore what genuinely separates a hybrid cloud data strategy from a multi-cloud one, and why the distinction changes every decision that follows. Next, you'll discover the business risks that concentrating data in a single cloud or a single tenant quietly creates, from blast radius to lost commercial leverage. Finally, you'll learn how the four core design drivers of resilience, cost, sovereignty, and vendor lock-in avoidance shape real architectures, and why AI workload growth is accelerating hybrid and multi-cloud adoption faster than any prior trend. When you're finished with this course, you'll have the skills and knowledge of hybrid and multi-cloud data architecture needed to reason confidently about where your organization's data belongs and defend that reasoning to technical and business stakeholders alike.
https://www.uploadcloud.pro/i5br9bmujdqm/Hybrid_and_Multi-cloud_Data_Architecture_The_Big_Picture.rar.html
https://rapidgator.net/file/40bcaf119fb28e69174aab6e9a8760a9/Hybrid_and_Multi-cloud_Data_Architecture_The_Big_Picture.rar.html
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Category: Tutorials
- views: 124
- date: 15 October 2026
- posted by: 0nelove
Learn Solidworks
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h | Size: 605.86 MB
Learn the fundamentals of Solidworks and create your first 3D modes from scratch
What you'll learn
Navigate the Solidworks interface and understand the essential tools and commands
Create and fully define 2D sketchins using sketch tools,relations and dimensions
Build 3D parts using fundamental Solidworks modeling features
Apply Design intent and create models that are easy to modify and update
Create and manage multi-feature mechanical parts
Create assemblies and understand how components work together
Create professional engineering drawings from 3D models
Add dimensions, annotations,and drawing views to communicate design information clearly
Create basic sheet metal parts and generate accurate flat patterns
Apply Solidworks modeling techniques through practical,real-world engineering examples
Develop the confidence to create their own mechanical designs independently in Solidworks
Requirements
Basic Computer skills
No prior Solidworks experience is required
Basic knowledge of engineering drawing and mechanical design is helpful, but not mandatory
A computer with Solidworks installed is recommended so you can follow along with the exercises
Description
Are you ready to start your journey with SolidWorks?
This beginner-friendly course is designed to introduce you to the fundamentals of SolidWorks and help you build a strong foundation in 3D CAD modeling.
Throughout the course, you will learn how to navigate the SolidWorks interface, create and modify sketches, use essential modeling tools, and build 3D models step by step through practical demonstrations.
What you will learn
- Navigate the SolidWorks interface and workspace
- Understand the basic tools and commands
- Create and edit 2D sketches
- Apply essential sketching techniques
- Create 3D models using fundamental features
- Modify and edit your models efficiently
- Navigate and control different model views
- Understand the basic workflow of creating a 3D part from a sketch
The course is suitable for complete beginners, engineering students, and anyone who wants to develop practical SolidWorks skills from the ground up
No previous SolidWorks experience is required. A basic understanding of engineering drawings is helpful. But not mandatory
By the end of this course, you will have a solid understanding of the fundamental SolidWorks workflow and the confidence to continue developing your 3D modeling skills
Start learning SolidWorks today and take your first step toward becoming a more confident 3D CAD designer
Good Luck
Who this course is for
Beginners who want to learn Solidworks from the ground up
Engineering students who want to develop practical 3D CAD skills
Mechanical and electromechanical engineers who want to improve their Solidworks skills
Designers and technicians who work with the mechanical or electrical panel components and want to create accurate 3D models
Anyone interested in developing practical Solidworks skills for engineering and design applications
Homepage
https://www.udemy.com/course/learn-solidworks-g/https://www.uploadcloud.pro/m0ixgaw8w88i/Learn_Solidworks.rar.html
https://rapidgator.net/file/5dcddac89fde23275144a657a334bb2b/Learn_Solidworks.rar.html
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Category: Tutorials
- views: 126
- date: 15 October 2026
- posted by: 0nelove
LLM & Transformer Mathematics: AI Explained Step by Step
Published 10/2026
Created by Adrian Găitan, Evaluris Solutions, Reju Kole
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 36 Lectures ( 4h 54m ) | Size: 2.2 GB
Master tokenization, embeddings, positional encoding, self-attention, QKV matrices, softmax and multi-head attention
What you'll learn
⚡ Explain how LLMs transform text into tokens, numerical IDs and continuous vector embeddings.
⚡ Calculate positional encodings using sine and cosine functions and explain how Transformers represent word order.
⚡ Break down self-attention mathematically using Query, Key and Value matrices, dot products and attention scores.
⚡ Calculate attention weights with softmax and follow the complete process from input embeddings to contextual representations.
⚡ Explain multi-head attention and how multiple attention heads capture different relationships between tokens.
⚡ Connect tokenization, embeddings, positional encoding and attention to understand how Transformer-based language models process text.
Requirements
❗ No prior experience with LLM mathematics or Transformer architecture is required.
❗ Basic high-school mathematics is helpful, but the mathematical concepts are explained step by step.
❗ An interest in AI, machine learning or Large Language Models is the only essential prerequisite.
❗ Basic Python knowledge is helpful for following the optional experiment notebook, but it is not required for the core course.
Description
Large Language Models have transformed artificial intelligence, but using an LLM and understanding how one actually works are two very different things.
This course takes you beneath the surface of modern AI and explains the core mathematics behind Transformers and Large Language Models step by step.
Rather than treating concepts such as embeddings, positional encoding, Query-Key-Value matrices and attention as black boxes, we break them down visually and mathematically so you can understand what is actually happening inside a Transformer.
You will begin with the foundations of representing language numerically. We explore categorical encoding, tokenization, vocabularies and token encoding before moving into embeddings and continuous vector spaces.
From there, we tackle one of the most important concepts in Transformer architecture: positional encoding.
You will see why Transformers need positional information, how sine and cosine functions are used to represent token positions, why even and odd dimensions are treated differently, and how the underlying equations work.
The course then moves into the heart of the Transformer: the attention mechanism.
Instead of simply showing you an attention formula, we work through the process step by step.
You will explore Query, Key and Value matrices, calculate vectors, examine dot products and vector alignment, calculate raw attention scores and visualize what those scores represent.
We then convert those raw scores into attention weights using softmax and normalization before combining them with Value vectors to produce contextual representations.
Finally, you will explore multi-head attention and see how multiple attention heads allow a Transformer to capture different relationships within the same sequence.
What you will explore
Throughout the course, you will work with concepts including
• Tokenization and vocabularies
• Numerical token representations
• Embeddings and vector spaces
• BERT and DistilBERT concepts
• Positional encoding
• Sine and cosine functions
• Query, Key and Value matrices
• Dot products and vector alignment
• Raw attention scores
• Softmax and normalization
• Attention weights
• Context vectors
• Self-attention
• Multi-head attention
• Masked language modeling
A mathematical approach without unnecessary complexity
The goal of this course is not to overwhelm you with abstract equations.
Instead, mathematical concepts are introduced when they are needed and connected directly to the Transformer components they explain.
You will follow calculations step by step and develop intuition for why the mathematics works, not simply memorize formulas.
This makes the course suitable for learners who already work with AI as well as those building a stronger technical foundation in Large Language Models.
Why take this course?
Many AI courses focus on using existing LLMs, calling APIs or building applications around models.
Those are valuable skills, but they don't necessarily explain what happens inside the model.
This course focuses on that missing layer.
By the end, terms such as embeddings, positional encoding, Query-Key-Value, attention scores, softmax, context vectors and multi-head attention should no longer feel like abstract Transformer terminology.
You will be able to connect these concepts mathematically and understand how they work together to transform tokens into context-aware representations.
If you want to move beyond simply using Large Language Models and develop a deeper understanding of the mechanisms that make Transformers work, this course is designed for you.
Who this course is for
⭐ Developers and software engineers who want a deeper understanding of Transformers, embeddings and attention mechanisms.
⭐ Data science and machine learning students who want to strengthen their mathematical intuition behind modern language models.
⭐ AI and Generative AI learners who want to understand what actually happens inside LLMs.
⭐ AI professionals who work with LLMs and want to confidently explain concepts such as QKV, self-attention, softmax and positional encoding.
⭐ Technical professionals and curious learners who want to move beyond high-level LLM explanations.
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Category: Tutorials
- views: 141
- date: 15 October 2026
- posted by: 0nelove
Marketing Automation: Build Automation for Email Marketing
Published 10/2026
Created by LearnersCare LLC
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 37 Lectures ( 14h 45m ) | Size: 168.4 MB
Master Email Marketing Automation: Build Effective Automation with Professional Autoresponders to Grow Your Email List
What you'll learn
⚡ Set up and configure a professional autoresponder from scratch for effective email marketing automation and list building.
⚡ Create high-converting landing pages to grow your email list using dedicated tools and WordPress.
⚡ Integrate your autoresponder with key sales platforms like shopping carts, course sites, and affiliate networks.
⚡ Build effective email automations and drip campaign sequences to nurture leads automatically.
⚡ Master segmentation using tags from sales systems and membership platforms for targeted emails.
⚡ Design the complete opt-in experience and confirmation emails to maximize subscriber engagement.
⚡ Connect your email marketing automation to Warrior Plus and JVZoo for affiliate marketing.
⚡ Implement list cleaning strategies to maintain a healthy, engaged email list for better deliverability.
⚡ Safely export, back up, and import your valuable email list between different marketing platforms.
⚡ Understand the full technical workflow to build a complete, automated email marketing system.
Requirements
❗ No Advanced Skills Required: You do not need to be a technical expert or have prior experience with email marketing automation to succeed. We start from the beginning.
❗ Willingness to Set Up Tools: A readiness to sign up for and explore an autoresponder service (like GetResponse, Mailchimp, or AWeber) is the main requirement.
❗ Basic Computer Literacy: You should be comfortable using a web browser, creating online accounts, and following step-by-step software tutorials.
❗ A Business Platform (Helpful): Having an existing website, course platform, or store is helpful for integrations but not mandatory to follow along and learn.
❗ Goal to Grow an Audience: The core prerequisite is the desire to build, grow, and professionally manage an email list for your business or brand.
Description
This course contains the use of artificial intelligence.
Master Email Marketing Automation and build effective automation with professional autoresponders to grow your email list. Learn integrations, segmentation, and drip campaigns for leads and sales.
JoinTeam LearnersCare LLC and access the comprehensive2026 AI GiftPack. LeverageGenAI andArtificial Intelligence (AI) with a massive library of downloadable resources designed forMarketing,Sales, andStartup Success.
Welcome to the definitive course where you willMaster Email Marketing Automation. Presented by Team LearnersCare LLC, this training is your blueprint tobuild effective automation systems usingprofessional autoresponders that reliablygrow your email list and drive revenue. In today's digital landscape, an email list is not just an asset; it's the lifeblood of a sustainable online business. This course moves beyond theory to deliver the exact technical and strategic know-how needed to construct a powerful, automated marketing engine from the ground up. If you're tired of sporadic results and manual effort, this step-by-step guide is your solution.
The core of modern digital marketing isEmail Marketing Automation. It's the system that works for you 24/7, nurturing leads, delivering value, and guiding subscribers toward a purchase. This course demystifies the technology and strategy behind building a system that converts visitors into subscribers and subscribers into loyal customers. You will learn to leverageprofessional autoresponders—the essential software that powers automated communication—and integrate them seamlessly into your entire business ecosystem. We start with the foundational step: correctlysetting up your autoresponder. You'll learn not just how to create an account, but how to architect it for scalability and precision, ensuring your foundation is solid before adding complex automation.
From there, we dive into the critical skill oflist building through optimized, high-converting landing pages. You'll discover how to use dedicated landing page creators and evenWordPress to design pages that capture emails effectively. We go beyond just creating the page, teaching you how toadd and embed the crucial opt-in form that connects your website directly to your autoresponder. But capturing leads is only half the battle. The real power—and where most beginners get stuck—lies in seamless integration.
A significant portion of this course is dedicated to teaching you how tobuild effective automation by connecting yourautoresponder to the key platforms that drive your business. You will get step-by-step tutorials on integrating withcourse platforms,shopping carts, and major affiliate networks likeWarrior Plus andJVZoo. This ensures that every customer action—a purchase, a course enrollment, an affiliate sale—automatically triggers the right follow-up in your email sequence. This creates a seamless user experience, eliminates manual data entry, and saves you countless hours, allowing you to focus on strategy and growth.
The strategy deepens as we explore the art and science of the subscriber journey. You'll learn to design theopt-in experience and craft the crucialconfirmation email that maximizes initial engagement. Then, you'll master the concepts oftags and segments, which are the building blocks of targeted, personalized communication. Learn how to useemail automations to send the right message to the right person at the right time, based on their behavior. We cover practical applications, such asadding tags from your sales system andmembership platform, to dynamically segment your audience for hyper-personalized campaigns that convert.
We also address the vital but often overlooked aspects of list hygiene and management that protect your investment. You'll learn the importance and process ofcleaning your list to maintain high deliverability and engagement rates, ensuring your emails reach the inbox. We'll also cover the procedures to safelyexport and back up your list, securing your most valuable digital asset. The course concludes with guidance on migrating your list—should you ever need to switch providers—giving you full control and flexibility.
This course is designed for actionable, confidence-building learning. Every module provides clear, step-by-step instructions for implementing professional-gradeemail marketing automation. By the end, you will have the practical skills to design, build, and manage an automated email marketing system that generates leads, nurtures relationships, and increases sales on autopilot. You'll move from confusion to clarity, knowing exactly how each piece of the puzzle fits together.
Exclusive Access: The LearnersCare 2026 AI GiftPack & Resource Library
To ensure you can immediately implement theseGenerative AI (GenAI) strategies in the real world, we have unlocked a massive vault of downloadablePDF Resources at the very end of this course. This is not just a lesson; it is a completeProfessional Toolkit designed to accelerate yourBusiness Growth andProductivity.
Inside this extensive library, you will gain access to theLearnersCare 2026 AI GiftPack, a curated collection of over2,650+ Professional Prompts that serve as your personal team of experts. These resources allow you to harness the full power ofArtificial Intelligence (AI) across every major business function
✨Digital Marketing & SEO: Instantly generate content, ad copy, and social media strategies.
✨Sales & Negotiation: UseGenAI to handle objections and close high-ticket deals.
✨Startup & Leadership: Access executive-level prompts for scaling, strategy, and HR management.
✨Industry-Specific Workflows: Specialized prompt packs forReal Estate,Customer Support, andEducation.
TheseDownloadable Assets are provided for yourPersonal Use, ensuring that when you finish the videos, you have the practical tools needed to execute everything you have learned.
Team LearnersCare LLC is committed to your success as a modern marketer and entrepreneur. The ability tomaster email marketing automation is no longer a luxury; it's a fundamental necessity for anyone serious about building a profitable, scalable online presence. Whether you are an entrepreneur, marketer, coach, blogger, or content creator, this course provides the complete technical framework and strategic insights to turn your email list into your most valuable and predictable business channel. Stop leaving money on the table with a disconnected marketing approach.
Enroll today and start building your automated, profit-generating marketing empire.
Who this course is for
⭐ Online Entrepreneurs who need to build a systematic email marketing automation funnel to generate leads and sales.
⭐ Digital Marketers aiming to deepen their technical skills with professional autoresponders and advanced integrations.
⭐ Bloggers & Content Creators who want to convert their audience into a subscribed email list with automated nurture sequences.
⭐ Course Creators & Coaches looking to automate student onboarding, communication, and promotional emails via their course platform.
⭐ Affiliate Marketers using platforms like Warrior Plus and JVZoo who need to automatically tag and follow up with buyers.
⭐ E-commerce Store Owners who want to connect their shopping cart to an email automation system for abandoned cart emails.
⭐ Small Business Owners seeking a cost-effective way to manage customer relationships and marketing through email.
⭐ Marketing Beginners overwhelmed by automation tools and wanting a clear, step-by-step guide to build effective systems.
⭐ Freelancers & Agencies who want to offer email marketing automation setup and management as a service to clients.
⭐ Anyone with a Website or Product who understands that growing an email list is critical and wants to learn the technical how-to.
https://www.uploadcloud.pro/p1fd30v632rt/Marketing_Automation_Build_Automation_for_Email_Marketing.rar.html
https://rapidgator.net/file/9a5b96d8444fc62f23bba31739568067/Marketing_Automation_Build_Automation_for_Email_Marketing.rar.html
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Category: Tutorials
- views: 185
- date: 15 October 2026
- posted by: 0nelove
Mastering Merge Conflicts in Git
Released 10/2026
By Julian Mateu
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 30m 46s | Size: 457.4 MB
Complex merges are where most Git knowledge breaks down: concurrent refactors collide, directory restructures conflict with hotfixes, and a failed rebase can leave a team paralyzed.
Complex merges are where most Git knowledge breaks down: concurrent refactors collide, directory restructures conflict with hotfixes, and a failed rebase can leave a team paralyzed.
In this course, Mastering Merge Conflicts in Git, you'll gain the ability to diagnose, resolve, and recover from the most challenging merge scenarios with confidence.
First, you'll explore Git's three-way merge internals, index stages, and visual merge tooling to surgically resolve multi-file conflicts.
Next, you'll discover how Git rerere records and replays conflict resolutions to eliminate repetitive merge pain on long-lived branches.
Then, you'll learn how to apply targeted merge strategies to handle large-scale migrations without losing critical hotfixes.
Finally, you'll master the reflog and reset workflows to recover from failed merges, botched rebases, and accidental resets with zero data loss.
When you're finished with this course, you'll have the skills and knowledge of Git's conflict resolution and recovery internals needed to be the person your team calls when everything goes wrong.
Homepage
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Category: Tutorials
- views: 169
- date: 15 October 2026
- posted by: 0nelove
Python for Beginners: Learn Python Programming from Scratch
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 51m | Size: 4.31 GB
A Step-by-Step Guide with Practical Examples, Coding Exercises, and Beginner-Friendly Projects
What you'll learn
Understand the fundamentals of Python programming, including variables, data types, operators, and basic syntax.
Write Python programs using conditional statements, loops, functions, and problem-solving techniques.
Work with Python data structures such as lists, tuples, sets, and dictionaries to store and manipulate data.
Develop small real-world Python projects using the concepts learned throughout the course.
Apply exception handling and debugging techniques to identify and resolve common Python programming errors.
Requirements
No prior programming knowledge is required; the course starts from the basics of Python.
Basic knowledge of computers and familiarity with using a keyboard and mouse is sufficient.
A computer or laptop with Python installed, or access to an online Python coding environment.
Basic understanding of mathematics and logical thinking will be helpful but is not mandatory.
Description
Welcome to Python for Beginners, a practical and beginner-friendly course designed to take you from your first Python program to confidently writing useful Python applications.
Whether you have never written a line of code before, are a student preparing for programming courses, a professional looking to develop a new technical skill, or simply want to learn one of the world's most popular programming languages, this course provides a structured path to learning Python step by step.
You don't need any previous programming experience. We start with the fundamentals and gradually move toward more practical programming concepts, allowing you to build your knowledge and confidence as you progress.
What Will You Learn?
Throughout this course, you will learn the essential concepts required to start programming with Python.
You will begin by understanding what Python is, how it works, how to install and configure the Python environment, and how to write and execute your first Python program.
From there, you will learn important programming fundamentals, including
- Python syntax and programming fundamentals
- Variables and data types
- Numbers, strings, and Boolean values
- Input and output
- Operators and expressions
- Conditional statements
- if, elif, and else
- For and while loops
- Break and continue statements
- Lists, tuples, sets, and dictionaries
- Working with strings
- Functions and parameters
- Return values
- Lambda functions
- Modules and packages
- Exception handling
- Reading and writing files
- Object-oriented programming fundamentals
- Classes and objects
- Constructors and methods
- Inheritance and other OOP concepts
- Working with Python libraries
- Practical problem-solving techniques
The course emphasizes learning by doing. Instead of simply memorizing programming concepts, you will work through examples and exercises that help you understand how Python works in real programming situations.
Learn Through Practical Examples
Programming becomes easier when you practice.
That's why this course focuses on writing code throughout the learning process. You will see how individual concepts work, understand the logic behind them, and then apply those concepts to programming exercises.
You will encounter practical examples involving calculations, text processing, conditions, loops, collections, functions, files, and object-oriented programming.
The goal is not simply to finish the lessons. The goal is to develop the ability to read, understand, write, test, and improve Python code independently.
Build Your Programming Confidence
Many beginners find programming difficult because they try to learn too many concepts at once.
This course follows a gradual learning path.
First, you learn the basics.
Then, you combine those basics to solve increasingly practical problems.
Finally, you apply your knowledge to projects and programming challenges.
By following this approach, you can develop a stronger understanding of programming logic and become more comfortable writing Python code on your own.
Who Is This Course For?
This course is ideal for
- Complete beginners with no programming experience
- Students who want to learn Python from the beginning
- People switching to programming from a non-technical background
- Professionals who want to add Python to their skill set
- Aspiring developers who want a strong Python foundation
- Data science beginners who need Python fundamentals
- Anyone who wants to practice programming through examples and exercises
You do not need prior Python knowledge to take this course.
Basic computer knowledge is helpful, but everything else is introduced progressively throughout the course.
What Can You Do After This Course?
After completing the course, you will have a solid foundation in Python programming and will be able to write programs using fundamental Python concepts.
You will be prepared to continue learning more advanced areas such as
- Data Science with Python
- Machine Learning with Python
- Web Development with Python
- Automation and Scripting
- Data Analysis
- Python Software Development
This course is designed to give you the foundation required to move confidently into these areas.
Why Learn Python?
Python is known for its readable syntax and wide range of applications. It is used in software development, automation, data analysis, scientific computing, web development, and many other technical fields.
Learning Python can therefore provide you with a valuable programming foundation that can be applied across multiple career and learning paths.
But you don't need to learn everything about Python at once.
Start with the fundamentals, practice consistently, and gradually build your skills.
Start Your Python Journey Today
If you've always wanted to learn programming but didn't know where to start, this course gives you a structured and approachable starting point.
You will learn step by step, practice with examples, solve programming problems, and develop the confidence to write Python programs independently.
No complicated assumptions. No requirement for previous programming experience.
Just a practical learning path from Python beginner to confident programmer.
Enroll today and start writing your first Python program!
Who this course is for
Students who are new to programming and want to learn Python from scratch.
Beginners who want to build a strong foundation in Python programming.
College and university students who want to learn Python for academic and career purposes.
Working professionals who want to develop basic Python programming skills.
Anyone interested in learning Python for automation, data analysis, artificial intelligence, or other technology fields.
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Category: Tutorials
- views: 150
- date: 15 October 2026
- posted by: 0nelove
Quantum Computing & Quantum Machine Learning with Python
Published 10/2026
Created by Sahinur Islam
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 126 Lectures ( 24h 44m ) | Size: 9.2 GB
Master qubits, gates, Qiskit, Grover and Shor, then build quantum machine learning models with PennyLane and Python
What you'll learn
⚡ Explain qubits, superposition, entanglement, interference and measurement clearly and correctly
⚡ Use the linear algebra of quantum computing: complex numbers, Dirac notation, unitary matrices and tensor products
⚡ Build, simulate, transpile and run quantum circuits in Python with Qiskit 1.x, Qiskit Aer and Qiskit Runtime
⚡ Implement teleportation, superdense coding, Deutsch-Jozsa, Grover's search, the quantum Fourier transform, phase estimation and Shor's algorithm
⚡ Run experiments on real quantum hardware, model noise, and apply error-mitigation techniques
⚡ Explain the principles of quantum error correction, from repetition codes to surface codes
⚡ Encode classical data into quantum states and build variational quantum classifiers and quantum kernel models with PennyLane and Qiskit Machine Learning
⚡ Train hybrid quantum-classical models with PyTorch, and solve optimisation problems with VQE and QAOA
⚡ Benchmark quantum models honestly against classical baselines and judge claims of quantum advantage
⚡ Complete four portfolio-ready capstone projects and plan a career path in quantum technology
Requirements
❗ Basic Python programming (variables, functions, loops, lists); every library is introduced from scratch
❗ High-school algebra; all linear algebra and complex numbers are taught in Module 2
❗ A computer (Windows, macOS or Linux) with internet access; all software used is free and open source
❗ No prior physics, quantum mechanics or machine learning knowledge is required
Description
This course contains the use of artificial intelligence.
Quantum computing is moving out of the physics lab and onto the developer's laptop. Today you can write a quantum program in Python, run it on a simulator in seconds, and send it to real quantum hardware through the cloud. This course gives you a clear, rigorous and beginner-friendly path from your very first qubit to training hybrid quantum machine learning models.
What makes this course different
✨From zero to advanced in one path. We start with the big picture and the essential mathematics (complex numbers, vectors, matrices, tensor products), then build up to quantum gates, circuits, entanglement, the major algorithms, real hardware and quantum machine learning.
✨Code-first and current. Every concept is backed by Python code using Qiskit 1.x (circuits, primitives, Aer simulation, transpilation, Qiskit Runtime) and PennyLane with PyTorch for quantum machine learning.
✨Honest about what quantum can and cannot do. You will learn to tell real quantum advantage from hype: which speed-ups are exponential, which are quadratic, which are heuristic, and how to benchmark quantum models fairly against strong classical baselines.
✨Real hardware and real noise. You will run circuits on real quantum processors, measure noise, apply error-mitigation techniques, and understand how quantum error correction works.
✨Portfolio-ready capstones. Four capstone projects (an algorithm toolkit, a noise-aware hardware experiment, a hybrid quantum classifier and a QAOA portfolio optimiser) give you work you can show employers.
What's inside
✨ 12 modules, 24 hours of narrated, slide-based video lectures, each 5 to 15 minutes long
✨ 15+ hands-on coding labs and 4 capstone projects
✨ A quiz with detailed answer explanations at the end of every module
✨ Setup guides and code you can run on a free simulator or on free tiers of real quantum hardware
Course structure
✨ Introduction to Quantum Computing
✨ Essential Mathematics and Linear Algebra
✨ Qubits, Superposition, and Measurement
✨ Quantum Gates and Circuits
✨ Python, Qiskit, and Quantum Simulators
✨ Entanglement and Quantum Protocols
✨ Quantum Algorithms: Grover, QFT, and Shor
✨ Real Quantum Hardware, Noise, and Error Correction
✨ Machine Learning Foundations and Data Encoding
✨ Quantum Machine Learning with PennyLane and Qiskit
✨ Hybrid Quantum-Classical AI and Optimization
✨ Capstone Projects and Career Roadmap
No physics degree is required. If you can write basic Python and remember high-school algebra, this course will teach you everything else, step by step.
Who this course is for
⭐ Software developers and Python programmers who want to add quantum computing to their skill set
⭐ Data scientists and machine learning engineers curious about quantum machine learning and hybrid AI
⭐ Students of computer science, physics, mathematics or engineering looking for a practical, code-first introduction
⭐ Researchers and technical professionals who need to evaluate quantum computing for their organisation
⭐ Curious learners who want a rigorous but beginner-friendly path from first principles to advanced topics
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Category: Tutorials
- views: 98
- date: 15 October 2026
- posted by: 0nelove
RE3 Regulatory Exam Masterclass 2026 | FAIS
Published 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 30h 26m | Size: 11.02 GB
Master FAIS legislation, Key Individual duties, Fit and Proper requirements, compliance and regulatory exam preparation
What you'll learn
Understand the FAIS Act, regulatory framework and the responsibilities of Key Individuals in managing and overseeing financial services providers.
Explain licensing, Fit and Proper requirements, operational oversight, compliance obligations and regulatory accountability under FAIS.
Apply FAIS requirements to supervision, representative management, debarment, complaints handling, risk management and regulatory reporting.
Prepare for the RE3 examination by interpreting regulatory requirements, analysing complex scenarios and identifying legally correct answers.
Requirements
No prior regulatory examination experience is required. This course explains FAIS legislation and Key Individual responsibilities from foundational concepts. Basic English comprehension and an interest in financial services regulation are recommended.
Description
This course contains the use of artificial intelligence.
RE3 Regulatory Examination Masterclass 2026 | FAIS
Prepare confidently for the South African RE3 Regulatory Examination with comprehensive training on the Financial Advisory and Intermediary Services Act (FAIS Act), Key Individual responsibilities and regulatory compliance.
This masterclass is designed for aspiring and existing Key Individuals, Financial Services Provider (FSP) managers, compliance professionals and individuals preparing for the RE3 examination.
What You Will Learn
- Understand the FAIS Act and the role of the Financial Sector Conduct Authority (FSCA).
- Explain Key Individual management and oversight responsibilities.
- Understand FSP licensing, authorisation and Fit and Proper requirements.
- Apply compliance management, risk management and regulatory reporting principles.
- Understand representative supervision, debarment and regulatory accountability.
- Explore the General Code of Conduct, disclosure requirements and client protection.
- Understand regulatory enforcement and consequences of non-compliance.
One Full RE3 Mock Examination – 50 Questions
The course includes one complete 50-question practice examination to assess your knowledge, strengthen regulatory interpretation skills and identify areas requiring further preparation.
Why Enrol?
Benefit from beginner-friendly explanations, practical examples, structured regulatory training and examination-focused learning.
Important Disclaimer
Artificial intelligence has been used to assist with course development, narration.
This course is independently developed and is not affiliated with, endorsed or approved by the FSCA. Mock questions are not official examination questions. Learners should consult current official regulatory materials. Examination success is not guaranteed.
Who this course is for
This course is designed for aspiring and existing Key Individuals preparing for the South African RE3 Regulatory Examination, financial services managers, FSP owners, compliance professionals, supervisors and individuals responsible for managing or overseeing FAIS-regulated financial services activities. It is also suitable for beginners seeking a structured understanding of the legal and operational responsibilities of Key Individuals.
Homepage
https://www.udemy.com/course/re3-regulatory-exam-masterclass-2026-fais/
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Category: Tutorials
- views: 145
- date: 15 October 2026
- posted by: 0nelove
Stock Market Investing: From Beginner to Investor
Published 10/2026
Created by François M. Bell, PhD
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 24 Lectures ( 4h 13m ) | Size: 1.6 GB
Learn to invest in stocks and ETFs, analyze investments, build a diversified portfolio, and manage risk with confidence.
What you'll learn
⚡ Understand how the stock market works, including stocks, ETFs, market indexes, and the main principles of long-term investing.
⚡ Open an investment account and confidently navigate brokerage platforms to buy and sell stocks and ETFs.
⚡ Analyze stocks using financial indicators and free tools such as Google Finance and Yahoo Finance.
⚡ Build, diversify, and monitor an investment portfolio based on financial goals, risk tolerance, and investment horizon.
⚡ Compare passive investing, value investing, growth investing, and dividend strategies to develop a personal investment approach.
⚡ Understand investor psychology, avoid common investing mistakes, and explore tax-advantaged investment accounts.
Requirements
❗ No prior investing experience is required. This course starts with the fundamentals and progresses step by step.
❗ A computer or smartphone with internet access is recommended for exploring free financial tools and completing practical exercises.
Description
Learn Stock Market Investing from Scratch — Build the Knowledge to Become an Independent Investor!
Do you want to start investing in the stock market but don't know where to begin? Are you confused by stocks, ETFs, investment accounts, and financial markets?
This comprehensive course is designed to help you understand investing step by step, even if you have no previous experience.
With more than4 hours of video lessons, practical demonstrations, real-world examples, and downloadable resources, you will develop the knowledge and skills needed to make more informed investment decisions.
What You Will Learn
✨ Understand how stock markets work and why investing matters.
✨ Learn the fundamentals of risk, return, and compound growth.
✨ Discover how to choose an online broker and open your first investment account.
✨ Understand stocks and learn how to analyze companies using financial indicators.
✨ Explore Exchange-Traded Funds (ETFs) and their role in diversification.
✨ Build and manage a diversified investment portfolio.
✨ Learn how to assess investments using free tools such as Google Finance.
✨ Understand investor psychology and avoid common emotional mistakes.
✨ Compare passive, active, value, growth, and dividend investing strategies.
✨ Apply your knowledge through practical investment case studies.
✨ Explore tax-advantaged investment accounts in Canada, the United States, and other countries.
Practical Learning and Downloadable Resources
This course goes beyond theory. You will learn through practical examples and demonstrations designed to help you apply what you have learned.
You will also receive
✨ A comprehensive reference manual.
✨ An exercise workbook.
✨ An Excel financial calculator.
✨ Knowledge-check quizzes.
✨ Practical investment case studies.
✨ A disciplined investor charter.
Who Is This Course For?
This course is ideal for beginners, savers who want to start investing, and individuals looking to strengthen their investment knowledge.
No previous investing experience is required.
About Your Instructor
François M. Bell, PhD, is an economist passionate about financial education. His goal is to make investing accessible, practical, and understandable for everyone.
Start Your Investing Journey Today!
Investing is a lifelong skill. With the right knowledge, patience, and discipline, you can develop a structured approach to managing your investments and working toward your financial goals.
Enroll today and take your first step toward becoming a knowledgeable and independent investor!
Disclaimer: This course is for educational purposes only and does not constitute personalized financial, investment, or tax advice. Investing involves risk, including possible loss of capital.
Who this course is for
⭐ Complete beginners who want to understand the
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Category: Tutorials
- views: 359
- date: 15 October 2026
- posted by: mata00
LinkedIn Appointment Machine - Automate LinkedIn Lead Generation & Build aPowerful Appointment Machine | 8.18 GB
What if you could generate hundreds of high-paying leads with just 2 minutes of effort every day… and convert them into premium clients paying you 1000 USD per month?
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Category: Tutorials
- views: 300
- date: 15 October 2026
- posted by: mata00
LinkedIn Appointment Machine - Automate LinkedIn Lead Generation & Build aPowerful Appointment Machine | 8.18 GB
What if you could generate hundreds of high-paying leads with just 2 minutes of effort every day… and convert them into premium clients paying you 1000 USD per month?
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Category: Tutorials
- views: 345
- date: 15 October 2026
- posted by: mata00
Camilo Castañeda- Direct Response Academy (Up to September 2026) | 1.28 GB
Camilo Castañeda- Direct Response Academy (Up to September 2026)
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Category: Tutorials
- views: 117
- date: 15 October 2026
- posted by: mata00
Jo Han Mok - Copywriting Empire | 245 MB
Jo Han Mok - Copywriting Empire
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Category: Tutorials
- views: 301
- date: 15 October 2026
- posted by: mata00
Master Carousels, Master Social Media in 2026 | 8.51 GB
Master Carousels, Master Social Media in 2026
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Category: Tutorials
- views: 292
- date: 15 October 2026
- posted by: mata00
Vahva Fitness – Athlete 20XX Method | 10.6 GB
Vahva Fitness – Athlete 20XX Method
Develop an athletic physique from zero to hero without needing to spend 1000s for a great coach.
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Category: Tutorials
- views: 259
- date: 15 October 2026
- posted by: mata00
W D Gann – Original Commodity Market Trading Course | 461 MB
W D Gann – Original Commodity Market Trading Course
The Original Commodity Courses of W.D. Gann Compiled by Cody Jones.
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Category: Apps (SEO/Marketing/Design)
- views: 191
- date: 15 October 2026
- posted by: voska89
Free Download Windows 11 Pro 26H2 Build 26300.9711 (No TPM Required) Preactivated Multilingual October 2026 | 7.09 GB
Windows 11 Pro is Microsoft's professional desktop operating system, designed to deliver a secure, productive, and modern computing experience for personal and business users. This release features version 26H2, build 26300.9711, with multiple language options and a modified installation that does not require TPM.
Windows 11 version 26H2 builds on the servicing platform used by versions 24H2 and 25H2. Its shared foundation helps eligible devices receive new capabilities through a smaller enablement package, reducing installation time and limiting disruption.
This October 2026 release includes selected improvements to Windows settings backup, taskbar interactions, and File Explorer, alongside ongoing servicing and security updates.
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Category: Tutorials
- views: 232
- date: 15 October 2026
- posted by: AD-TEAM
4.3 GB | 5min 20s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
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Category: Tutorials
- views: 142
- date: 15 October 2026
- posted by: AD-TEAM
830.46 MB | 19min 20s | mkv | 1920X1080 | 16:9
Genre:eLearning |Language:English
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Category: eBooks
- views: 140
- date: 15 October 2026
- posted by: BeMyLove
Neuroscience Discoveries | 19.57 MB
Title: Neuroscience Discoveries
Author: Edmund T. Rolls
Category: Experiments & Projects, Cognitive Psychology, Biological Sciences
Language: English | 319 Pages | ISBN: 9780262057745
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