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Java Data Structures & Algorithms: Visual Dsa + Leetcode
Published 11/2026
Created by Javid Bodurov
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 205 Lectures ( 22h 59m ) | Size: 9.9 GB
Master Java DSA with visual animations, Big O, trees, graphs, 39 LeetCode problems, and coding interview practice.
What you'll learn
⚡ Understand and implement arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs in Java.
⚡ Analyze time and space complexity using Big O notation and understand Java memory, references, and collections.
⚡ Implement searching, sorting, recursion, backtracking, BFS, DFS, and Dijkstra's algorithm in Java.
⚡ Apply two pointers, sliding windows, prefix sums, greedy techniques, and common coding interview patterns.
⚡ Practice 39 guided LeetCode problem walkthroughs and learn to explain solutions, edge cases, and complexity in coding interviews.
Requirements
❗ No prior knowledge of data structures or algorithms is required.
❗ Basic programming knowledge is helpful. The course includes Java environment setup and an introductory Java program.
❗ A computer capable of running Java and an IDE or code editor, such as IntelliJ IDEA or Visual Studio Code.
Description
Learn Data Structures and Algorithms in Java Through Visual Explanations, Practical Coding, and LeetCode Challenges
Master the foundations of Data Structures and Algorithms (DSA) in Java through step-by-step visual animations, practical implementations, algorithm analysis, and coding interview preparation.
This comprehensive course from VertexClass combines Java-specific programming concepts with essential computer science fundamentals. Instead of simply memorizing algorithms, you'll explore how they work internally, why they work, and when to use them.
With approximately 23 hours of video lessons and 39 guided LeetCode problem walkthroughs, you'll follow a structured learning path from foundational concepts to advanced problem-solving techniques.
Whether you're studying computer science, improving your Java programming skills, or preparing for software engineering interviews, this course will help you develop a stronger understanding of algorithms and data structures.
What Makes This Course Different?
✨Visual Explanations: Understand algorithms through detailed animations and step-by-step demonstrations.
✨Java-Focused Learning: Explore Java memory management, references, collections, and real implementation details.
✨Practical Implementations: See how important data structures and algorithms are implemented in Java.
✨39 LeetCode Walkthroughs: Practice carefully selected problems covering essential DSA topics.
✨Big O Analysis: Learn to evaluate algorithm efficiency and understand performance trade-offs.
✨Coding Interview Preparation: Develop structured problem-solving techniques and practice interview-style challenges.
✨Organized Learning Path: Progress from introductory concepts to increasingly challenging algorithms.
What You'll Learn
1. Java Fundamentals and Memory Management
Begin by setting up your Java development environment and writing your first Java program.
Explore how Java manages memory, including stack and heap allocation, primitive types, objects, references, and arrays.
Understand autoboxing, int versus Integer, == versus equals(), hashCode(), integer overflow, immutable strings, the string pool, garbage collection, and common memory-related errors.
You'll also explore Java generics and important concepts behind the Java Collections Framework.
These foundations will help you understand not only how to write Java code, but also how that code behaves internally.
2. Big O Notation and Algorithm Complexity
Learn how to evaluate the efficiency of algorithms using Big O notation.
You'll explore constant O(1), logarithmic O(log n), linear O(n), linearithmic O(n log n), quadratic O(n²), and exponential O(2^n) time complexity.
Discover how to analyze time and space complexity, compare alternative solutions, evaluate best-case and worst-case performance, and simplify complexity expressions.
These skills are essential for understanding why one solution may perform better than another.
3. Arrays, ArrayList, and Linked Lists
Explore one of the most important foundations of programming: how data is stored and accessed.
Learn array indexing, searching, insertion, deletion, dynamic resizing, amortized complexity, and how Java ArrayList works internally.
Then move into linked lists, including singly linked, doubly linked, and circular linked structures.
Implement insertion, deletion, searching, reversal, cycle detection, and slow-and-fast-pointer techniques.
You'll also compare ArrayList and LinkedList to understand their strengths, limitations, and practical use cases.
4. Stacks and Queues
Learn the LIFO and FIFO principles behind stacks and queues.
Build stack and queue implementations, explore Java's ArrayDeque and Queue interface, and understand circular queues, deques, and queues implemented using two stacks.
Apply stacks to balanced parentheses, undo and redo systems, and next greater element problems.
Use queues to explore breadth-first search, grid traversal, and shortest-path problems in unweighted grids.
5. Hash Tables, HashMap, and HashSet
Understand how hash tables provide efficient key-based lookups.
Study hash functions, collisions, separate chaining, open addressing, load factors, resizing, and performance characteristics.
Explore Java's HashMap and HashSet, including the importance of equals() and hashCode() and how Java handles heavily populated hash buckets.
Apply hashing techniques to frequency counting, grouping, and common interview problems.
6. Trees and Binary Search Trees
Discover hierarchical data structures, binary trees, and binary search trees.
Explore preorder, inorder, postorder, and level-order traversals.
Learn how to insert, search, and delete values in binary search trees while analyzing their performance.
Understand tree height, balance, recursion patterns, and Java-based tree implementations.
You'll also practice solving problems involving tree depth, traversal, and lowest common ancestors.
7. Heaps and Priority Queues
Learn how binary heaps organize data efficiently.
Explore min-heaps, max-heaps, array-based representations, sift-up and sift-down operations, and heapify.
Understand Java's PriorityQueue, custom comparators, heap sort, and top-K problem-solving techniques.
Apply these concepts to practical problems involving priority, ranking, and efficient selection.
8. Graphs and Graph Algorithms
Explore directed, undirected, and weighted graphs.
Learn how to represent graphs using adjacency lists and adjacency matrices, then implement graph structures in Java.
Study breadth-first search (BFS), depth-first search (DFS), connected components, cycle detection, topological sorting, and Dijkstra's shortest-path algorithm.
These concepts are valuable for solving connectivity, routing, dependency, and traversal problems.
9. Recursion, Memoization, and Backtracking
Build a clear understanding of recursive problem-solving.
Learn how base cases and recursive calls work, how the call stack changes during execution, and when recursion is preferable to iteration.
Explore memoization, divide and conquer, and backtracking through practical examples.
You'll also learn about recursion depth limitations and how to avoid common mistakes.
10. Searching and Sorting Algorithms
Implement and compare fundamental searching and sorting techniques.
Study linear search, binary search, lower and upper bounds, binary search on the answer, and Java's built-in binary search utilities.
Explore bubble sort, selection sort, insertion sort, merge sort, quick sort, and counting sort.
Understand the time and space complexity of each approach and examine Java's built-in sorting utilities.
11. Essential Coding Interview Patterns
Many coding interview problems are easier to recognize once you understand common algorithmic patterns.
Explore
✨ Two pointers
✨ Fast and slow pointers
✨ Fixed and variable sliding windows
✨ Prefix sums
✨ Intervals
✨ Greedy algorithms
✨ Introduction to dynamic programming
Learn how to identify these patterns and choose an appropriate strategy for solving a problem.
12. LeetCode Practice and Interview Preparation
Put your knowledge into practice through 39 guided LeetCode problem walkthroughs organized across the major course topics.
You'll explore problems involving arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs, recursion, searching, sorting, and algorithmic patterns.
The course also includes a dedicated coding interview preparation section covering
✨ Understanding the technical interview process
✨ Breaking down unfamiliar coding problems
✨ Selecting appropriate data structures
✨ Explaining time and space complexity
✨ Testing edge cases
✨ Recognizing common implementation mistakes
✨ Practicing easy, medium, and hard mock interviews
The goal is to help you develop an organized and repeatable approach to technical problem-solving.
How to Get the Most Out of This Course
For the best learning experience, follow the lessons in order, especially if you're new to data structures and algorithms.
Watch the visual explanations carefully, then reproduce the Java implementations yourself.
Before viewing a LeetCode solution, try solving the problem independently. Even if you cannot complete it, attempting the problem first will make the explanation more valuable.
After each topic, review the complexity analysis and revisit any concepts that remain unclear.
Learning algorithms is not about memorizing hundreds of solutions. It's about recognizing patterns, understanding trade-offs, and building the reasoning skills needed to solve new problems.
Who Is This Course For?
This course is designed for
✨ Beginners in data structures and algorithms who want a structured introduction using Java.
✨ Java developers who want to strengthen their algorithmic problem-solving skills.
✨ Computer science and software engineering students.
✨ Aspiring software engineers preparing for technical coding interviews.
✨ LeetCode learners who prefer visual, step-by-step explanations.
✨ Programmers interested in Java collections, memory behavior, and algorithm efficiency.
Basic programming familiarity is helpful, but no previous experience with data structures and algorithms is required.
Start Building Stronger Problem-Solving Skills
By completing this course and practicing the examples, you'll develop a clearer understanding of essential data structures, important algorithms, their Java implementations, and the techniques used in technical coding interviews.
You'll be better equipped to analyze problems, compare solutions, write efficient Java code, and continue practicing increasingly challenging algorithmic questions.
Learn visually. Code confidently. Think algorithmically.
VertexClass — Learn Beyond Limits.
Who this course is for
⭐ Beginners who want to learn data structures and algorithms using Java through clear visual explanations.
⭐ Computer science and software engineering students who want to strengthen their understanding of DSA fundamentals.
⭐ Java developers who want to improve their knowledge of collections, algorithms, and problem-solving techniques.
⭐ Aspiring software engineers preparing for technical coding interviews and LeetCode challenges.
⭐ Self-taught programmers who want a structured learning path from basic data structures to advanced algorithms.
Homepage

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• views: 29
• date: 7 November 2026
• posted by: 0nelove

Learn jаvascript Basics In One Day
Last updated 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 122.28 MB | Duration: 0h 34m
Write your first program in modern jаvascript. Learn jаvascript basics & start jаvascript for beginner developer path
What you'll learn
Write programs in js and connect it to the html
Learn about variables
Learn about arrays
learn to perform mathematical operations in jаvascript
Write comments
Use jаvascript logic operators & conditionals
Modify html with jаvascript
Requirements
Basic css and html knowledge
Code editor
Browser
Description
In this course you will learn basics of jаvascript in 34 minutes. This course is best for students or IT professionals who want to build their own websites using jаvascript! You will learn the modern js (jаvascript) and be ready to start codding using js in very short amount of time. If you want to save time and learn js fast this course is definetily for you. IÂ hope you will enjoy learning js!Learn jаvascript Quickly, here is the full list of topics this fast paced course covers:Write first program in js Connect js to the pageLearn to use variablesUse mathematical operations with variablesCreate arraysLearn to write your commentsUse conditionalsUnderstand logic operatorsModify your page with jsFast course for a beginner developerI have been studying jаvascript for couple of years, but have never found a quick overview of basics of js, so I wanted to build this course. This course is special because it is straight to the point and saves you a lot of time. It's best for absolute beginners. The content is optimized for the latest version of js.By completing this course you will have basic understanding of javacript
Students studying computer science,Students studying computer engineering,Front-end developers,Full-stack developers,Someone who wants to build websites
Screenshot

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• views: 19
• date: 7 November 2026
• posted by: voska89

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• date: 7 November 2026
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Microcontroller Interfacing With Different Elements
Last updated 2/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.22 GB | Duration: 4h 26m
This is a Step By Step Guide to Interfacing Different electronic Elements with Microcontrollers
What you'll learn
Interface Different electronic Elements with Microcontrollers
Write a Code to Make Your Microcontroller recognize different electronic Elements and interact with it
Control different electronic Elements
Embed code in the design
Interface Leds with Your Microcontroller
Interface Switches with Your Microcontroller
Interface buttons with Your Microcontroller
Interface 7 Segments with Your Microcontroller
Interface LCD Liquid crystal display
Interface Pizeo Sound Speaker with Your Microcontroller
Interface Sounder with Your Microcontroller
Interface Relay with Your Microcontroller
Interface Transistor with Your Microcontroller
Interface Darlington Transistors with Your Microcontroller
Requirements
A computer to run the software
A basic knowledge in Programming in any language
Download and Install Proteus Professional (FREE & Explained inside the Course)
Download and Install MikroC Pro (FREE & Explained inside the Course)
Download The course Material in PDF and Print them if possible
Students must have the knowledge of basic electronics
Description
Everything you wanted to know about interfacing different elements with microcontrollers but were too afraid to ask, or asked without getting answers!
This is a Step By Step Guide to interfacing different electronic elements with different microcontrollers including LEDs, switches and buttons, 7-segment displays, LCD liquid crystal displays, piezo sound speakers, sounders, relays, transistors, and Darlington transistors.
This bundle consists of more than 40 lectures with over 3 hours of HD video content and supplementary material, covering every aspect of electronic elements interfacing. You'll learn how each element works, the concept behind interfacing each element, and how to simulate and connect everything in real life. By the end of this course, you'll be a professional in interfacing different electronic elements with various microcontrollers (PIC Microcontroller, Arduino, Raspberry Pi, and other types).
Why You Should Take This Course
More than 3 Hours of Full HD Content
More than 3 Quizzes
15 Articles
10 Downloadable Resources
Supporting Material and Example Codes
Step-by-step Explanation of Connection Diagrams and Coding Stages
Certificate of Completion
Elements Covered in This Course
LEDs
Switches and buttons
7-segment displays
LCD liquid crystal displays
Piezo sound speakers
Sounders
Relays
Transistors
Darlington transistors
This course works for any type of microcontrollers, including
Arduino
PIC Microcontroller
Raspberry Pi
Any other type
Don't miss this comprehensive guide to mastering microcontroller interfacing. Enroll today and elevate your electronics projects to the next level!
What You Will Learn
Interface various electronic elements with different microcontrollers
Understand the concepts behind each interfacing method
Simulate and connect elements in real-life projects
Gain confidence in using microcontrollers in your electronics projects
Who Is This Course For
Electronics hobbyists
Engineering students
Makers and DIY enthusiasts
Anyone interested in microcontrollers and electronics
Requirements
Basic knowledge of electronics
A computer with internet access
Willingness to learn and practice
About the Instructor
Educational Engineering Team
Team of skilled Engineers Sharing Knowledge with the World
Educational Engineering Team is a Leading Team in Microcontroller Industry, with over 13 Years of Experience in Teaching and Doing Practical Projects.
We strive to put all our hands-on experience in these courses. Instead of superficial knowledge - we go into the depth of the topic and give you the exact - step by step blueprint on how to tame simple as well as complex topics in easy and digestible bite-sized videos.
This real-world knowledge enables you to grasp knowledge easily, and you can apply this learning immediately to your life and projects.
Educational Engineering Team has been in the Programming and Microcontroller business since 2007. We have been part of many projects. Over the course of these years - we have gained a good insight into students' and educators' needs. We are passionate about sharing all our collective knowledge with you. As of 2018, we have already taught over 250k-THOUSAND students and counting.
Currently, we have more than 100+ Courses on Udemy
Educator and Author of "Educational Engineering".
Ashraf is an educator, Mechatronics engineer, electronics and programming hobbyist, and Maker. He creates online video courses on the EduEng YouTube Channel (More Than 4 Million View, 20k + Subscriber) and author of four Microcontroller books.
As a Chief Educational Engineer since 2007 at Educational Engineering Team, the company he founded, Ashraf's mission is to explore new trends and technology and help educate the world and make it a better place.
Educational Engineering offers educational courses and Bootcamps, articles, lessons, and online support for electronics hobbyists, Programming hobbyists, Microcontroller hobbyists, STEM students, and STEM teachers.
That team also works as freelancer engineers, helping many students in their graduation projects, and provide guidance and consulting for many students over the years to help them kick-start their career.
Ashraf's core skill is explaining difficult concepts through in a step by step easy to understand matter using video and text. With over 11 years of tertiary teaching experience, Ashraf has developed a simple yet comprehensive and informative style in teaching that students from all around the world appreciate.
His passion for Microcontrollers and Programming and in particular for the world of Arduino, PIC Microcontroller, Rasberry Pi has guided his personal development and his work through Educational Engineering.
Ashraf's online courses have helped over 250,000 people from around the world to be better and to make a great career in the industry.
Educational Engineering Team offers Courses on
Circuit Design, Simulation, and PCB Fabrication
Arduino, PIC Microcontroller, and Raspberry Pi
Programming in C, Python, and other programming languages
PLC Industrial Programming and Automation
3D Design and Simulation
ESP and IoT World
Who this course is for
Microcontrollers Geeks
Arduino Geeks
Raspberry Pi Geeks
PIC Microcontroller Geeks
Engineering students
Anyone Interested in Different electronic Elements with Microcontrollers
Anyone Interested in Controlling Different electronic Elements with Microcontrollers
PIC Microcontroller Lovers
Technology hobbyists
Computer programmers
Screenshot

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• date: 7 November 2026
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Mech Design With Blender
Gumroad / Alex Negrea | Duration: 5 h 01 m | Video: H264 2304x1296 | Audio: AAC 44,1 kHz 2ch | 14,9 GB | Language: English | 2019
Over 5 hours of video. Almost all of them have narration in english. The mech design videos are speed up most of the time and the techniques that have been used are explained in realtime in the intro to blender video.
- Rough thumbnails in Photoshop
- 3d Block in with Blender
- Paintover the rough 3d to define a more specific design direction
- Finalizing the design in 3d with Blender 2.79
- Rendering with Octane Standalone

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Linear Algebra For A.I, Data Science & Quantum ComputingPublished 11/2026
Created by Infusion X
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 39 Lectures ( 5h 52m ) | Size: 2 GB
Engineers Playground: Master Vectors, Matrices, Unitary transformations for Machine Learning, AI & More
What you'll learn
⚡ Build a strong conceptual and mathematical foundation in Linear Algebra from first principles.
⚡ Understand vectors, vector spaces, subspaces, bases, dimensions, and linear transformations.
⚡ Master matrix operations, matrix algebra, inverses, determinants, and systems of linear equations.
⚡ Learn eigenvalues, eigenvectors, diagonalization, orthogonality, and orthonormal bases.
⚡ Apply Linear Algebra concepts to Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
⚡ Understand the mathematics behind Principal Component Analysis (PCA), dimensionality reduction, and optimization.
⚡ Learn how Linear Algebra powers Computer Vision, Robotics, Computer Graphics, and Signal Processing.
⚡ Develop a solid mathematical foundation for Quantum Computing, including complex vector spaces, unitary transformations, and quantum states.
⚡ Solve real-world engineering and computational problems using Linear Algebra techniques.
⚡ Strengthen mathematical reasoning, analytical thinking, and problem-solving skills.
⚡ Build the confidence required to pursue advanced topics such as Machine Learning, Numerical Methods, Scientific Computing, and Quantum Information Science.
Requirements
❗ No prior knowledge of Linear Algebra is required—this course starts from the fundamentals.
❗ A basic understanding of high school mathematics (algebra and arithmetic) is helpful but not mandatory.
❗ No programming experience is required.
❗ No prior knowledge of Artificial Intelligence, Data Science, or Quantum Computing is required.
❗ A willingness to think logically, solve problems, and explore mathematical concepts.
❗ Curiosity about how mathematics powers modern technologies such as AI, Machine Learning, Robotics, Computer Graphics, and Quantum Computing.
Description
Artificial Intelligence is transforming industries. Data Science is driving decisions. Quantum Computing is redefining the future of computation. Behind each of these revolutionary fields lies a common mathematical language—Linear Algebra
Linear Algebra is far more than a university subject or a collection of matrix operations. It is the framework through which machines learn from data, algorithms recognize patterns, robots understand movement, recommendation systems predict preferences, computer graphics render realistic worlds, and quantum computers manipulate information at a fundamentally new level.
This course has been carefully designed to bridge the gap between traditional mathematics and modern technology. Rather than memorizing formulas or solving repetitive textbook problems, you will develop a deep conceptual understanding of why linear algebra works and how it powers today's most influential technologies.
Every concept is introduced from first principles, explained with intuitive visualizations, strengthened through mathematical reasoning, and connected to practical engineering applications. Whether you are learning about vectors, matrices, vector spaces, eigenvalues, or matrix decompositions, you will constantly discover how theseideas appear in Machine Learning, Deep Learning, Data Science, Robotics, Computer Vision, Computer Graphics, Signal Processing, and Quantum Computing.
Unlike many conventional linear algebra courses that emphasize abstract theory without context, this course is built specifically for engineers, computer scientists, and technology enthusiasts who want to understand the mathematics behind intelligent systems. The emphasis is not only on solving problems but also on developing mathematical intuition—the ability to see how different concepts connect and why they matter in real-world engineering.
This course is suitable for complete beginners as well as students who wish to strengthen their mathematical foundations before studying advanced topics such as Machine Learning, Deep Learning, Optimization, Numerical Methods, Scientific Computing, and Quantum Information Science. Every topic is presented in a logical progression, allowing you to build confidence step by step while gradually moving toward advanced applications.
As part of theEngineer's Playgroundseries, this course forms one of the core pillars of a complete Engineering Mathematics curriculum.
By the end of this course, you will not only be able to perform linear algebra computations with confidence but also understand the mathematical thinking that drives many of the world's most important technologies. More importantly, you will develop the ability to approach engineering problems with clarity, precision, and confidence—skills that remain valuable throughout your academic and professional journey.
If you are ready to build a strong mathematical foundation for Artificial Intelligence, Data Science, Computer Science, and Quantum Computing, then welcome to the course.
Let's begin the journey.
Who this course is for
⭐ Students who want to build a strong foundation in Linear Algebra from scratch.
⭐ Aspiring AI and Machine Learning Engineers.
⭐ Future Data Scientists and Data Analysts.
⭐ Deep Learning and Neural Network enthusiasts.
⭐ Computer Science and Engineering students.
⭐ Software Engineers who want to strengthen their mathematical foundations.
⭐ Robotics and Computer Vision enthusiasts.
⭐ Quantum Computing beginners and researchers.
⭐ Students preparing for higher studies in Artificial Intelligence or Data Science.
⭐ Professionals transitioning into AI, Machine Learning, or Data Science careers.
⭐ Anyone interested in understanding the mathematics behind modern technology.
⭐ Learners preparing for technical interviews, university courses, or research.
⭐ Engineers who want to develop mathematical intuition instead of memorizing formulas.
⭐ Technology enthusiasts curious about how vectors, matrices, and transformations power real-world applications.
⭐ Anyone who wants to confidently apply Linear Algebra to engineering and computational problems.
Homepage

https://www.udemy.com/course/linear-algebra-for-ai-data-science-quantum-computing

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• date: 7 November 2026
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Learn To Code With Python 3
Last updated 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.58 GB | Duration: 17h 36m
Go from beginner to advanced with the Python programming language!
What you'll learn
Introduction to Python and Setup
Python Programming Basics
Functions - Coding Exercises
Lists, Tuples and Dictionaries
Files in Python 3
Error Handling
Object Oriented Programming
Date & Time
Regular Expressions
Interacting with HTTP
Networking in Python 3
Threading
E-mails, PDFs, Images
Requirements
Basic computer usage
An open mind!
Description
If you would like to learn how to code, master the Python programming language, and get a job in data science or coding, you are going to LOVE this course! Python is the #1 programming language for beginners due to its simple syntax, wide range of applications, and helpful community resources. This course was designed for absolute beginners. We will cover setting up a Python environment, programming basics, object oriented programming, regular expressions, interacting with HTTP, networking and much more. Enroll now to receive over 17 hours of HD video tutorials with English captions, and a certificate of completion!
3 Coding Projects in the course
• Python calculator - We will use what we learn in the Python basics section to code our first program.
• Web Scraping - We will code a simple web scraper to demonstrate how to interact with HTTP using Python.
• Chat program - We will code a chat program using WebSockets to demonstrate the basics of networking with Python.
Topics covered in the course
• Introduction to Python and Setup
• Python Programming Basics
• Functions - Coding Exercises
• Lists, Tuples and Dictionaries
• Files in Python 3
• Error Handling
• Object Oriented Programming
• Date & Time
• Regular Expressions
• Interacting with HTTP
• Networking in Python 3.
• Threading
• E-mails, PDFs, Images
Still not sold? Check out a few of the awesome reviews this course has received from customers
• "This course is perfect for beginners looking to learn the basics. The content is very detailed and comprehensive. I followed instructions to install Python 3 and started coding alongside Joseph in each lesson - it was as simple as that."
• "Well structured with plenty of practical tests/quizzes. Especially liked the development of a Poker Game!"
• "I am a student who had 0 experience in coding before joining the course. The instructor explains everything from the basics as well as the usage of every function. Thank you!"
Who this course is for
Students interested in learning the Python programming language.
Students who wish to pursue a career in software development.

https://www.udemy.com/course/python3-for-beginners/

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Orchestrating Cross-Functional Collaboration
Released 11/2026
By Shelley Benhoff
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m 38s | Size: 247.8 MB
Siloed workflows, unclear ownership, and scattered communication can create delays and confusion across departments.
Siloed workflows, unclear ownership, and scattered communication can create delays and confusion across departments. In this course, Orchestrating Cross-functional Collaboration, you'll gain the ability to build clear, efficient processes for coordinating work across teams. First, you'll explore how to map project dependencies and identify common breakdowns between departments. Next, you'll discover how to design asynchronous intake and communication practices that reduce interruptions and improve request quality. Finally, you'll learn how to optimize essential meetings by documenting decisions, assigning action items, and using automation to support follow-up. When you're finished with this course, you'll have the skills and knowledge of cross-functional collaboration needed to coordinate dependencies, improve communication, and keep shared projects moving forward.
Homepage

https://app.pluralsight.com/ilx/video-courses/orchestrating-cross-functional-collaboration/course-overview

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Microsoft Power Bi 2026: Project-Based Business Intelligence
Published 11/2026
Created by Uniedify Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 18 Lectures ( 4h 10m ) | Size: 2.9 GB
Build a complete energy report from raw dаta: Power Query, data modelling, DAX, report design, AI tools and the Service
What you'll learn
⚡ Load, clean and reshape real data in Power Query, including unpivot, merge and parameters
⚡ Design a star-schema data model with fact and dimension tables and correct relationships
⚡ Write DAX measures for unit conversions, shares, growth, carbon intensity and rankings using CALCULATE, variables and RANKX
⚡ Build clear, accessible report pages with slicers, matrices, conditional formatting, tooltips, navigation and bookmarks
⚡ Apply advanced analytics: what-if parameters, calculation groups, decomposition trees, forecasts, key influencers and rolling averages
⚡ Use Copilot, ChatGPT and Claude to draft DAX, and test and correct AI-written measures in DAX query view
⚡ Publish to the Power BI Service, explain sharing, refresh and gateways, and secure a report with row-level security
⚡ Check every key result by hand and verify it in Power BI before presenting findings
Requirements
❗ A Windows computer with internet access to download the free Power BI Desktop. No previous Power BI experience is needed; basic spreadsheet skills (e.g. Excel) are helpful. Optional for Lesson 12: a Power BI account to publish to the Service (you can follow by watching). Optional: an AI assistant such as ChatGPT or Claude; Copilot is explained but not required.
Description
This course contains the use of artificial intelligence.
Learn Microsoft Power BI the way it is used at work: by building one complete, real report from a raw data file to a published, secured and documented dashboard.
Project TERAWATT is a Global Energy Transition Dashboard for an international energy consultancy. Using the open Our World in Data energy dataset (CC BY 4.0), you analyse electricity generation, the energy mix, carbon intensity and electricity per person for every country from 2000 to 2024.
What you will do, step by step
• Load a 23,377-row CSV file and clean it in Power Query: filter rows, choose and type columns, unpivot, merge a lookup and use a file-path parameter.
• Build a star-schema data model with fact and dimension tables and correct relationships.
• Write DAX measures for unit conversions, shares, growth since 2000, year-over-year growth and carbon intensity, using CALCULATE and variables.
• Design report pages for the United States, Europe, China and the rest of the world, with slicers, matrices, conditional formatting, tooltips, a theme, navigation, bookmarks, alt text and a phone layout.
• Use advanced analytics: what-if and field parameters, calculation groups, the decomposition tree, anomaly detection, forecasts, key influencers, top segments and rolling averages with visual calculations.
• Use AI properly: what Copilot can do and what it needs, and how to use ChatGPT and Claude to draft DAX, then catch their mistakes in DAX query view.
• Publish to the Power BI Service, understand sharing, refresh and the gateway, and secure the report with row-level security.
How you learn. Every lesson works one important number out by hand on a whiteboard first, then verifies it in Power BI, so you understand the result and not just the click. Each lesson starts from a checkpoint file and ends with a new one.
Included: 15 project-based video lessons (over 4 hours), starting data or checkpoint files and solution .pbix files, step-by-step checklists, notes with glossaries, practice exercises with worked solutions, six section quizzes, and captions in ten languages.
About the use of AI in this course: the narration uses an AI-generated voice, captions were translated with AI assistance, and AI tools are also a topic of Lessons 11, 14 and 15. All numbers were checked by hand and in Power BI.
Who this course is for
⭐ Beginners who want to learn Power BI through one complete, realistic project; Excel users and analysts moving to Power BI; students and professionals preparing for data-analyst roles or the PL-300 exam; energy, sustainability and business professionals who report on data; Power BI users who want to use AI tools (Copilot, ChatGPT, Claude) responsibly.
Homepage

https://www.udemy.com/course/microsoft-power-bi-2026-project-based-business-intelligence

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Microsoft Copilot Advanced Features
Released 11/2026
By Alex Wolf
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 40m 8s | Size: 132.6 MB
Many work tasks require more from Microsoft Copilot than basic chat, such as analyzing data files, checking visuals, and drawing on reliable sources from the web and your organization.
Many work tasks require more from Microsoft Copilot than basic chat, such as analyzing data files, checking visuals, and drawing on reliable sources from the web and your organization. In this course, Microsoft Copilot Advanced Features, you'll gain the ability to use Copilot's advanced modes and multimodal features, and to ground and check its research. First, you'll explore how to work with uploaded data files, reasoning modes, and image capabilities. Next, you'll discover how to use Copilot Voice and Vision, and how features vary by license, device, and organization. Finally, you'll learn how to choose Copilot's sources, combine information from your work content and the web, and check its conclusions and citations. When you're finished with this course, you'll have the skills and knowledge of Microsoft Copilot's advanced features needed to analyze data and research topics with results you can rely on.
Homepage

https://app.pluralsight.com/ilx/video-courses/microsoft-copilot-advanced-features/course-overview

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Mtcna Full Course
Last updated 12/2024
Created by Titas Sarker
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 37 Lectures ( 2h 20m ) | Size: 926.8 MB
MTCNA Training and Vendor Certification Preparation
What you'll learn
⚡ Understand the basics of MikroTik RouterOS and its key features
⚡ Learn how to configure and manage MikroTik routers for network operations
⚡ Prepare for and pass the MTCNA certification exam
⚡ Prepare for a successful career in network administration
⚡ Learn to troubleshoot common network problems
⚡ Gain hands-on experience with network devices and configurations
Requirements
❗ A basic understanding of computer networks is helpful but not mandatory
❗ Access to a MikroTik router or RouterOS virtual machine for hands-on practice
❗ A computer with internet access to follow the lessons and complete exercises.
❗ Enthusiasm to learn and prepare for the MTCNA certification.
Description
MikroTik is a Latvian network equipment manufacturer. The company develops and sells wired and wireless network routers, network switches, access points, as well as operating systems and auxiliary software. The company was founded in 1996 with the focus of selling equipment in emerging markets. As of August 2019, the company website reported more than 280 employees. In 2015, with a revenue of EUR 202M, Mikrotik was the 20th largest company in Latvia.
MikroTik's product line comprises end-user networking devices, such as routers, switches, and access points, as well as boards without enclosures, and router software.
The features of MikroTik hardware are not restricted by software licensing; every device is capable of using every compatible feature. Customers may select hardware-based solely on physical requirements, such as port density, processing power, number of wireless antennae, etc. Like other customized operating systems, driver software must be custom developed and Mikrotik products sometimes lag behind other manufacturers in this aspect.
MikroTik company designed the MTCNA course. MTCNA stands for MikroTik Certified Network Associate. This course is designed for Network engineers and technicians wanting to deploy and support network infrastructure engineers. By the end of this training session, the student will be familiar with RouterOS software and RouterBOARD products and be able to connect the client to the Internet. He will also be able to configure, manage, do basic troubleshooting of a MikroTik router and provide basic services to clients.
Who this course is for
⭐ Beginners who want to learn MikroTik RouterOS and start their networking journey
⭐ IT professionals preparing for the MTCNA certification exam.
⭐ Networking enthusiasts seeking hands-on experience with MikroTik routers
⭐ Students pursuing careers in IT and networking
Homepage

https://www.udemy.com/course/mtcna-full-course

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Pen 200-Penetration Testing-Part 1
Published 11/2026
Created by Ramnath Kesav
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 52 Lectures ( 11h 44m ) | Size: 6.5 GB
OffSec Certified Professional (OSCP)
What you'll learn
⚡ The Penetration Testing with Kali Linux (PEN-200) course is OffSec's essential training program for aspiring penetration testers
⚡ Providing an introduction to cybersecurity and an effective learning strategy to help you get started
⚡ Performing enumeration and information gathering, including vulnerability scanning and vulnerability assessment
⚡ Understanding encryption and cryptography
Requirements
❗ Having hands-on practical knowledge of Linux and Windows administration, networking, and network scripting.
Description
The Penetration Testing with Kali Linux (PEN-200) course is OffSec's essential training program for aspiring penetration testers. The course teaches learners how to identify and exploit real-world vulnerabilities across computers, network security, web applications, and basic cloud environments. Emphasizing hands-on, practical learning, PEN-200 provides the core technical skills and mindset required to simulate offensive information security operations—and defend against them. It's a critical resource for those pursuing roles such as penetration tester, security analyst, security specialist, or certified ethical hacker.
PEN-200 covers a wide range of topics and attack techniques, including
Providing an introduction to cybersecurity and an effective learning strategy to help you get started
Performing enumeration and information gathering, including vulnerability scanning and vulnerability assessment
Understanding encryption and cryptography
Utilizing perimeter attacks in web and application security as well as client-side attacks, where we go into depth in the commonly seen vulnerabilities such as XSS, Command Injection, Directory Traversal, File Uploads, and SQL Injection. We also cover password attacks and touch on Anti-Virus Evasion.
Performing Windows and Linux privilege escalation and lateral movements, including pivoting and tunneling techniques
Using Active Directory, attacking Active Directory authentication, and lateral movement in Active Directory.
Enumerating and attacking AWS cloud infrastructure.
Learning how to use commonly used tools and commands in penetration testing, such as Nmap, Metasploit, Burp Suite, Hydra, Nessus, sqlmap, and Shellter.
PEN-200 is organized into 20+ modules. Most modules have companion videos for the visually inclined learners. Most modules have hands-on labs to help learners practice the concept and theory taught in that module. After mastering each of the techniques and skills taught in all modules, learners can move on to the 9 challenge labs to practice a combination of skills in one lab, mimicking the real-world penetration test engagement. To help learners get ready for their OSCP+ certification exam, three challenge labs are designed to closely replicate the OSCP+ exam environment.
PEN-200 is suitable for those wishing to embark on a professional pen testing career, or wanting to learn ethical hacking skills possessed by pen testers. Before taking this course, we do suggest having hands-on practical knowledge of Linux and Windows administration, networking, and network scripting.
Who this course is for
⭐ PEN-200 is suitable for those wishing to embark on a professional pen testing career, or wanting to learn ethical hacking skills possessed by pen testers.
Homepage

https://www.udemy.com/course/pen-200-penetration-testing

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Persuasion In Business Communications
Last updated 1/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.08 GB | Duration: 1h 30m
The Complete Lunchtime Persuasion in Business Communications Course
What you'll learn
Give persuasive talks, briefings, speeches and presentations
Influence colleagues, bosses, prospects and clients
Get teams to take actions
Move people to new behaviors in the workplace
Sign more customers and clients
Requirements
Willingness to practice persuasive presentations
Description
Persuasion is the most powerful tool any business executive, manager, or leader can have. With strong persuasion skills, any goal is achievable. Without strong persuasion skills, not much happens and careers and businesses stall.
This course is filled with practical, step-by-step processes that anyone in the workplace can use to persuade colleagues, bosses, customers, clients and prospects on what to do.
You can persuade people to endorse your plan, become a customer, validate your idea, hire your firm or approve your budget, once you know and practice the skills of persuasion. For more than 30 years, TJ Walker has taught executives around the world how to increase their persuasion skills in the workplace, and now he can be your personal guide as well.
"I am convinced I can make you more persuasive in every single talk, briefing, sales pitch, speech or presentation you give in the workplace. My methods are guaranteed to make you more influential. You will have the power to persuade after completing this course." TJ Walker
What will students achieve or be able to do after taking this online persuasion course?
Give persuasive talks, briefings, speeches, and presentations
Influence colleagues, bosses, prospects and clients
Get teams to take actions
Move people to new behaviors in the workplace
Sign more customers and clients
Improving your persuasion skills will also enhance your public speaking skills, presentation skills, communication skills and storytelling skills.
Please note: this is a persuasion course conducted by a real person who is speaking and demonstrating persuasive communication skills. If you are looking for a course with lots of animation, slides, special effects, slick edits, and robotic voices, this course is not for you.
Here is what Udemy students say about this course
"Great Course that provides a lot of useful information that can be put to use immediately." Richard Fimbel
"I've been able to learn that consistency is key and you don't have to successfully persuade everyone but the overall process of persuasion is a great learning process. I also learned that you become better by looking for more opportunities to give presentations, pitches, and much more." Feyisekemi Akinwale
This Persuasion course is ideal for anyone searching for more info on the following: persuasion - business communication - persuasion psychology - communication skills. Plus, this course will be a great addition to anyone trying to build out their knowledge in the following areas: Negotiation skills - communication skills.
Who this course is for
Executives
Junior Executives
Leaders
Managers
Aspiring Leaders
Anyone who wants to become Persuasive

https://www.udemy.com/course/persuasion-in-business-communications/

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Pile Foundation Design: Theory To Field Applications
Last updated 6/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.96 GB | Duration: 2h 29m
Master pile foundation design for sand, clay, and pile groups using modern analysis techniques
What you'll learn
Brief on Pile foundation
Practical approach on Pile Foundation
Project on Pile foundation
Comparison of actual case studies- Pile foundation v/s Well foundation
Requirements
1) Basic understanding of concepts of soil mechanics
2) The student have gone through the text books of Foundation Engineering.
3) The student have enrolled to the basic course of Pile Foundation (Beginner Course)
Description
Complete Course on Pile Foundation Design
This course offers a complete and in-depth understanding of pile foundation engineering, suitable for both beginners and professionals. It builds upon the fundamental knowledge of soil mechanics and foundation engineering to help learners develop specialized expertise in pile analysis, design, and performance evaluation.
Whether you're a civil engineering graduate, postgraduate student, geotechnical consultant, or field engineer, this course equips you with both theoretical insights and practical tools to solve real-world design problems.
By the end of this course, you will
Understand the classification and purpose of different types of pile foundations
Analyze axial load-bearing capacity in granular and cohesive soils
Evaluate pile group efficiency, behavior, and settlement ratios
Estimate ultimate capacity and settlement for individual piles and pile groups
Apply design techniques using current engineering codes and practices
The course also includes step-by-step numerical problems, real-world design applications, and an emphasis on field behavior of piles under various soil conditions.
This course is ideal for professionals working in infrastructure, high-rise construction, marine structures, bridges, and other geotechnical projects.
What You'll Learn
Classify and select appropriate pile types for various conditions
Calculate load capacity and group behavior of piles
Analyze pile performance in cohesive and granular soils
Estimate settlement and group efficiency
Solve pile design problems using standard methods and IS codes
Interpret and apply field data in pile design
Requirements
Basic knowledge of soil mechanics or foundation engineering
Civil engineering background (UG/PG or industry experience)
Calculator or spreadsheet for numerical problem-solving
Who This Course Is For
Civil and geotechnical engineering students (UG/PG)
Site engineers, structural engineers, and geotechnical consultants
Professionals designing or reviewing foundation systems
Researchers and lab instructors focused on foundation behavior
Course Features
Lifetime access to video content and updates
Q&A forum with expert instructor support
Design-based examples and solved numericals
Certificate of Completion from Udemy
30-day money-back guarantee
Student Reviews
"Excellent course with very useful videos and materials." – Adinath Palase
"Very important information on the subject." – Jagdish Prasad Sharma
"I learned a lot during this course and I am grateful." – Manish Kumarpile foundation engineering.
Who this course is for
The UG, PG, Research Scholars, Consulting Geotechnical Engineers, Industry specialist, Practicing Engineers, and Faculty members from different institutions can enrolled themselves in course to get brief on Pile foundation
Screenshot

https://www.udemy.com/course/pile-foundation

https://rapidgator.net/file/b1eb2b64053bbc010b773ac98bf63fcc/Pile_Foundation_Design_Theory_To_Field_Applications.part4.rar.html
https://rapidgator.net/file/2c06f544fbe74f0347ebfc84ca6169f2/Pile_Foundation_Design_Theory_To_Field_Applications.part3.rar.html
https://rapidgator.net/file/4381042659f0f209d0cc03b4c206b7f5/Pile_Foundation_Design_Theory_To_Field_Applications.part2.rar.html
https://rapidgator.net/file/b7ac8ab0ece10f8806b2419b9b5a6f11/Pile_Foundation_Design_Theory_To_Field_Applications.part1.rar.html

https://nitroflare.com/view/6CBAE3833959155/Pile_Foundation_Design_Theory_To_Field_Applications.part4.rar
https://nitroflare.com/view/422422BA684E438/Pile_Foundation_Design_Theory_To_Field_Applications.part3.rar
https://nitroflare.com/view/A03FEB26370C609/Pile_Foundation_Design_Theory_To_Field_Applications.part2.rar
https://nitroflare.com/view/9D8D01CBAA161E1/Pile_Foundation_Design_Theory_To_Field_Applications.part1.rar

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• views: 15
• date: 7 November 2026
• posted by: 0nelove

Plan And Acquire Resources (pmi - Pmp)
Last updated 10/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.05 GB | Duration: 2h 45m
Project Management Professional Certification Program (PMI-PMP)
What you'll learn
Recognize the role of the project manager in project resource management activities
Understand examples of inputs to the Plan Resource Management process
Identify the tools and techniques of the Plan Resource Management process
Describe the components of a RACI chart
Recognize examples of information that should be included in the roles and responsibilities section of a resource management plan
Identify the purpose of the Estimate Activity Resources process
Recognize examples of the inputs to Estimate Activity Resources process
Identify the tools and techniques you use for estimating activity resources
Present the principles of using the bottom-up estimating technique
Understand the outputs of the Estimate Activity Resources process
Describe a resource breakdown structure, given a scenario
Recognize the inputs to the Acquire Resources process
Identify the tools and techniques you use to acquire resources for a project
Sequence the steps for using negotiation to acquire project resources
Identify the outputs of the Acquire Resources process
Demonstrate your understanding of the Plan Resource Management, Estimate Activity Resources, and Acquire Resources processes
Requirements
No special requirements or prerequisites are needed to take this course, but some extra reading about projects, project management, project life cycle, organizational project management, project scope, project schedule, project costs, project quality, project human resources and project communications will help.
Part of the Project Management Professional Certification Course (PMI-PMP)
Description
The Plan and Acquire Resources (PMI - PMP) is course 17 of 28 of the Project Management Professional Certification Program (PMI-PMP).
Unless you plan to do all the work on your project yourself, you're going to need to put a team together. That's not as easy as it sounds. You have to have people with the right mix of skills and expertise to make up a high- performing team.
You will need to be able to identify and acquire all the resources you'll need for project success. In this course, you'll learn how to develop a resource management plan.
You'll also learn best practices for estimating and acquiring necessary resources, developing and managing the project team, and optimizing resources throughout the project.
1. Project Resource Management Overview
2. Inputs to Plan Resource Management
3. Plan Resource Management Tools and Techniques
4. RACI Charts
5. Outputs of Plan Resource Management
6. The Estimate Activity Resources Process
7. Inputs to Estimate Activity Resources
8. Tools and Techniques to Estimate Activity Resources
9. The Bottom-up Estimating Technique
10. Estimate Activity Resources Outputs
11. The Resource Breakdown Structure
12. Inputs to Acquire Resources
13. Tools and Techniques to Acquire Resources
14. Negotiating to Acquire Resources
15. Outputs of Acquire Resources
16. Exercise: Planning Resources for Your Project
That's it! Now go ahead and push that "Take this course" button, and see you on the inside!
Who this course is for
Leaders, managers, entrepreneurs, professionals and project workers with or without formal project management training will improve project management skills and knowledge and will be ready to stand for formal certification.
Screenshot

https://www.udemy.com/course/plan-and-acquire-resources-pmi-pmp

https://rapidgator.net/file/62c7c91b43412bc0ed498d6f65e35314/Plan_And_Acquire_Resources_Pmi_Pmp.part3.rar.html
https://rapidgator.net/file/8b18d3085e1b3b6f1f3a037ca6ca3215/Plan_And_Acquire_Resources_Pmi_Pmp.part2.rar.html
https://rapidgator.net/file/bbc685ac7b6cd6471cfd62846b2d988e/Plan_And_Acquire_Resources_Pmi_Pmp.part1.rar.html

https://nitroflare.com/view/C3260C0F1AB43D0/Plan_And_Acquire_Resources_Pmi_Pmp.part3.rar
https://nitroflare.com/view/9B97A1280D99AAC/Plan_And_Acquire_Resources_Pmi_Pmp.part2.rar
https://nitroflare.com/view/DF3B0F1CC310AA1/Plan_And_Acquire_Resources_Pmi_Pmp.part1.rar

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• views: 30
• date: 7 November 2026
• posted by: 0nelove

Claude For Small Business
Released 11/2026
By Baneen Qazi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 31m 2s | Size: 135.2 MB
Small businesses can lose time recreating context, drafting routine content, and managing inconsistent AI outputs.
Small businesses can lose time recreating context, drafting routine content, and managing inconsistent AI outputs. In this course, Claude for Small Business, you'll gain the ability to use Claude in repeatable business workflows. First, you'll explore how Claude works and use Projects, prompts, and connected sources to support marketing and customer service. Next, you'll review Claude's outputs and create a reusable Skill from a successful process. Finally, you'll share, test, troubleshoot, and manage Projects and Skills using Claude Team. When you're finished with this course, you'll have the skills and knowledge needed to use Claude consistently and scale its use responsibly across a small business.
Homepage

https://app.pluralsight.com/ilx/video-courses/claude-for-small-business/course-overview

https://rapidgator.net/file/1dd86c3a1794eba8db2b82e3e54ffa81/Claude_for_Small_Business.rar.html

https://nitroflare.com/view/7C49F9D1DBF4339/Claude_for_Small_Business.rar

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• views: 9
• date: 7 November 2026
• posted by: 0nelove

Ai-300: Designing And Implementing An Mlops Infrastructure
Released 11/2026
By Praveenkumar Bouna
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 36m 56s | Size: 335.2 MB
Machine learning teams stall when their platform is hand-built, undocumented, and impossible to reproduce.
Machine learning teams stall when their platform is hand-built, undocumented, and impossible to reproduce. In this course, AI-300: Designing and Implementing an MLOps Infrastructure, you'll gain the ability to design and operate Azure Machine Learning infrastructure the way a platform team should. First, you'll explore how to create and manage the core resources of a workspace, including datastores, compute targets, and the identity and access model that governs them. Next, you'll discover how to create, version, and share the assets your team reuses every day — data assets, environments, and components — across workspaces using registries. Finally, you'll learn how to organize the entire environment as infrastructure as code, deploying workspaces with Bicep and the Azure CLI, automating provisioning through GitHub Actions with no stored secrets, and restricting network access to meet security requirements. When you're finished with this course, you'll have the skills and knowledge of Azure Machine Learning infrastructure needed to provision, secure, and reproduce an MLOps platform on demand.
Homepage

https://app.pluralsight.com/ilx/video-courses/ai-300-designing-implementing-mlops-infrastructure/course-overview

https://rapidgator.net/file/b93f6606abb8cf882ab4423232d5e500/AI-300_Designing_and_Implementing_an_MLOps_Infrastructure.rar.html

https://nitroflare.com/view/23ED84624585E95/AI-300_Designing_and_Implementing_an_MLOps_Infrastructure.rar

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• views: 27
• date: 7 November 2026
• posted by: 0nelove

Ai Fluency For Creative Work By Anthropic
Released 11/2026
With Anthropic
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 19m | Size: 343.6 MB
Decide whether, where, and how AI belongs in your creative practice using the 4D Framework, in this AI skills course from Anthropic.
Course details
Creative professionals are well positioned to shape how AI enters creative work, but only with clear judgment about what their work is for and what makes it theirs. This course helps creators, writers, illustrators, designers, and musicians build AI collaboration skills through the 4D Framework: Delegation, Description, Discernment, and Diligence. It begins from a deliberate no-AI starting point, then gives you two tools, the Creative Value Lens and the Production Lens, to decide whether, where, and how AI belongs in your practice. Developed with Professors Rick Dakan and Joseph Feller, creators of the AI Fluency Framework, this course extends that framework for the creative context, where authorship, distinctiveness, and the audience relationship raise unique considerations. Along the way, test out your new skills using Claude or the agent of your choice for real-world practice.This course was created by Anthropic. We are pleased to host this training in our library.
Skills covered
Anthropic Claude, Artificial Intelligence for Design, AI Fluency
Homepage

https://www.linkedin.com/learning/ai-fluency-for-creative-work-by-anthropic

https://rapidgator.net/file/1335558d617810dab9b781d0814735c7/AI_Fluency_for_Creative_Work_by_Anthropic.rar.html

https://nitroflare.com/view/ABB02389D5B0EC8/AI_Fluency_for_Creative_Work_by_Anthropic.rar

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• views: 9
• date: 7 November 2026
• posted by: 0nelove

Power BI Data Modeling: Build a Production-Ready Model
Released 11/2026
With Baraa Khatib Salkini
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 28m | Size: 910 MB

Transform a complex 23-table Power BI model into a clean, scalable, production-ready semantic model using practical dimensional modeling techniques.

Course details
Discover advanced techniques to transform complex Power BI models into refined, production-ready semantic models, start ingwith a complex 23-table model and working through the decisions required to transform it into a clean, production-ready semantic model. Learn about practical dimensional modeling and learn how to diagnose and address structural problems affecting performance and accuracy. Explore how to classify tables as facts or dimensions and create cohesive relationships among them. Gain expertise in applying star schema and other modeling principles to real-world business data. The course is designed for Power BI developers, BI analysts, data analysts, and reporting professionals seeking to enhance their modeling skills. Engage in hands-on projects to experience authentic problem-solving challenges that mirror real-world scenarios. By the end of this course, you will be more equipped to refactor an unwieldy data model into a streamlined, maintainable one, to help ensure reporting precision and efficiency.

Skills covered
Microsoft Power BI, Data Modeling, Data Analysis

Homepage


https://rapidgator.net/file/9a711967e7f59f85baa215f8338b39ef/Power_BI_Data_Modeling_Build_a_Production-Ready_Model.rar.html

https://nitroflare.com/view/21B9AE17922534A/Power_BI_Data_Modeling_Build_a_Production-Ready_Model.rar

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• views: 11
• date: 7 November 2026
• posted by: 0nelove

Professional Networking (2026)
Released 11/2026
With Dorie Clark
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: General | Genre: eLearning | Language: English + subtitle | Duration: 26m | Size: 149.2 MB

Learn how to network effectively in person and online, prioritize key connections, build meaningful relationships, host significant events, and manage networking without burnout or overwhelm.

Course details
Establishing and maintaining connections is just as important as ever in today's hybrid world. In this course, learn how be authentic in your interactions and how to prioritize your most valuable relationships. Discover strategies for confidently networking with senior individuals and managing your networking time efficiently to prevent burnout. Learn a strategy for selecting high-value events to attend. Consider some advantages of hosting your own events to maximize your influence. Explore methods of using social media and content creation to widen your network's reach. Uncover how to leverage AI tools to streamline your networking tasks, from organizing contacts to staying informed of their achievements. By learning consistent and strategic follow-up techniques, you'll sustain and enhance remote connections. This course is ideally suited for early- to mid-career professionals, managers, job seekers, freelancers, and remote workers eager to optimize their networking potential in a digitally evolving landscape.

Skills covered
Professional Networking

https://www.linkedin.com/learning/professional-networking-57316027

https://rapidgator.net/file/9fa496d051094c2c972fbe8b3054152d/Professional_Networking.rar.html

https://nitroflare.com/view/C1A80987BC0B9EA/Professional_Networking.rar

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• views: 17
• date: 7 November 2026
• posted by: 0nelove

Restructuring Your Team Around AI Agents
Released 11/2026
By Milena Pajic
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 55m 57s | Size: 120.1 MB

Technical teams are increasingly delegating meaningful work to AI agents, but team structures and management routines designed for human-only work may no longer fit.

Technical teams are increasingly delegating meaningful work to AI agents, but team structures and management routines designed for human-only work may no longer fit. In this course, Restructuring Your Team Around AI Agents, you'll gain the ability to redesign your team for effective human+agent collaboration. First, you'll explore how to recognize when AI agents are changing the way work is distributed and identify where your existing team structure is under pressure. Next, you'll discover how to redesign roles, responsibilities, collaboration, and team topology around human ownership and agent capabilities. Finally, you'll learn how to assess apprenticeship risks and establish the managerial routines needed to manage agent work safely and effectively. When you're finished with this course, you'll have the skills and knowledge of team restructuring for AI-enabled work needed to adapt roles, protect long-term capability development, and manage hybrid human+agent teams effectively.

https://rapidgator.net/file/f1e36576daea77985063d2bbc9743d85/Restructuring_Your_Team_Around_AI_Agents.rar.html

https://nitroflare.com/view/04B4AA7C5AF3919/Restructuring_Your_Team_Around_AI_Agents.rar

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• views: 27
• date: 7 November 2026
• posted by: 0nelove

SC-100: Designing Security Solutions for Applications and Data
Released 11/2026
By Tim Warner
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 33m 43s | Size: 277.1 MB

Most application and data exposure is inherited: an overshared site Copilot can now summarize, a pipeline secret nobody rotated, an API published without a gateway, or a storage account that still accepts its access keys.

Most application and data exposure is inherited: an overshared site Copilot can now summarize, a pipeline secret nobody rotated, an API published without a gateway, or a storage account that still accepts its access keys. In this course, SC-100: Designing Security Solutions for Applications and Data, you'll gain the ability to evaluate and design security for Microsoft 365 workloads, applications, and data, including the data used in AI workloads. First, you'll explore how to evaluate Microsoft 365 security with Microsoft Secure Score, Microsoft Defender for Office 365, Microsoft Defender for Cloud Apps, Microsoft Intune, Microsoft Purview, and the data security and compliance controls for Microsoft 365 Copilot. Next, you'll discover how to design an application security program with threat modeling, a full lifecycle strategy, and secure development standards, and how to map workload identities, Azure API Management, and Azure Web Application Firewall to application requirements. Finally, you'll learn how to design data security from discovery, classification, and encryption with Azure Key Vault through Azure SQL, Azure Synapse Analytics, Azure Cosmos DB, Azure Storage, Microsoft Defender for Storage, Microsoft Defender for Databases, and the data used in AI workloads. When you're finished with this course, you'll have the skills and knowledge of application and data security design needed to recommend and defend protection for the applications and data an enterprise runs on Microsoft 365 and Azure.

https://rapidgator.net/file/5cfa00cedfaec51dc2299fd058702561/SC-100_Designing_Security_Solutions_for_Applications_and_Data.rar.html

https://nitroflare.com/view/AB5AF2693A90919/SC-100_Designing_Security_Solutions_for_Applications_and_Data.rar

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• views: 15
• date: 7 November 2026
• posted by: 0nelove

Scaling Spec-Driven Development with AI
Released 11/2026
By Catalin Tudose
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 26m 59s | Size: 286.4 MB

Spec-Driven Development becomes harder when specifications, AI agents, repositories, services, and teams multiply.

Spec-Driven Development becomes harder when specifications, AI agents, repositories, services, and teams multiply. In this course, Scaling Spec-Driven Development with AI, you'll gain the ability to scale SDD while keeping specifications and implementations consistent and governed. First, you'll explore the coordination and governance challenges that emerge beyond a single project and use multi-agent orchestration patterns to manage AI-assisted work. Next, you'll discover spec registries, spec-as-source, and techniques for reducing inconsistent or hallucinated API usage. Finally, you'll integrate specification validation and drift detection into CI/CD and coordinate an end-to-end Java feature across multiple services. When you're finished with this course, you'll have the skills and knowledge needed to design repeatable, auditable SDD workflows for larger software systems.

https://rapidgator.net/file/ed119a6cf57a764e7d0bed29b608b04a/Scaling_Spec-Driven_Development_with_AI.rar.html

https://nitroflare.com/view/5F9CCC786B51B7D/Scaling_Spec-Driven_Development_with_AI.rar

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• views: 12
• date: 7 November 2026
• posted by: DrZero

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