Tutorials

  Author: Baturi   |   28 June 2026   |   : 0

AI Software Testing Zero to Job– Ready QA, No Coding
Published 6/2026
Created by Asim Noaman Lodhi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 26 Lectures ( 2h 50m ) | Size: 2 GB
Learn software testing with AI from scratch — automate with Playwright, find real bugs, get job-ready. No coding needed

What you'll learn

⚡ AI-Powered QA Testing: Beginner to Job-Ready (No Code)
⚡ Understand core software testing concepts from scratch — test plans, test cases, test data, bugs, and severity.
⚡ Use AI and LLMs (ChatGPT, Claude, Copilot) safely and effectively as a QA tester, including prompt engineering.
⚡ Write professional test plans and test cases from plain-English

Requirements

using the 3 C's of prompting.
⚡ Build and run automated browser tests with Playwright — without needing a coding background.
⚡ Direct AI agents to write tests, drive the browser, and generate full test suites for you.
⚡ Diagnose and fix failing tests using the run → read → ask → fix loop with AI assistance.
⚡ Find real bugs and write clear, reproducible bug reports that developers respect.
⚡ Build a job-ready QA portfolio project on GitHub with a recruiter-friendly README.

Requirements

❗ No prior software testing experience needed — this course starts from absolute zero.
❗ No coding or programming background required; the AI writes the code while you learn to direct and verify it.
❗ A computer (Windows, Mac, or Linux) with a stable internet connection.
❗ Willingness to install free tools (VS Code, Node.js, Playwright) — all guided step by step.
❗ A free AI assistant account (Claude or GitHub Copilot) — both free options are shown in the course.

Description

Want to break into tech — without a computer science degree or years of coding?
Software testing (QA) is one of the most realistic ways to start a tech career, and AI has just made it far more accessible. Companies everywhere now want testers who can use AI tools to test smarter and faster. This course takes you fromcomplete beginner to job-ready — no coding background required.
You won't just watch theory. You'll work onone real, hands-on project from start to finish: you'll test a real demo web application, and by the end you'll have aportfolio project you can show in interviews.
Here's what you'll do, step by step
✨ Understand what software testing really is — test plans, test cases, bugs, and severity — starting from absolute zero.
✨ Learn how AI and Large Language Models (LLMs) actually work, in plain English, and how to use them safely as a tester.
✨ Set up your free toolkit (VS Code, Playwright, and an AI assistant like Claude or GitHub Copilot) with step-by-step guidance.
✨ Use AI and smart prompt engineering to turn plain-English

Requirements

into professional test plans, test cases, and test data.
✨ Build and runautomated browser tests with Playwright — letting AI write the code while you stay the decision-maker.
✨ DirectAI agents to drive the browser, generate whole test suites, and even help fix failing tests.
✨ Find real bugs and write professional bug reports that developers respect — and log them in Jira, just like real teams do.
✨ Package your work into a polishedGitHub portfolio with a README that recruiters can skim in 60 seconds.
✨ Walk away with resume bullet points, answers to common AI-QA interview questions, and a concrete 30-day action plan to land the role.
Who's teaching you: this course is built by a working QA professional, structured so a true beginner can follow every click without getting lost.
Why now: manual-only testing roles are shrinking, while demand for testers who can work with AI is growing fast. The most in-demand profile in 2026 combines solid testing fundamentals with AI-tool literacy — exactly what you'll build here.
By the end of this course you will be able to: plan tests with AI, automate them with Playwright, find and report real bugs, and present a complete project that proves you can do the job.
No prior testing or programming experience is required — just a computer and curiosity. Enroll now and start building your path into tech today.

Who this course is for

⭐ Complete beginners who want to start a career in tech without a degree or coding background.
⭐ Career switchers from non-tech roles (support, operations, admin, customer service) moving into QA.
⭐ Aspiring QA / software testers who want modern, AI-powered skills that employers are hiring for in 2026.
⭐ Manual testers who want to stay relevant by learning AI-assisted automation and Playwright.
⭐ Bootcamp grads and students looking for a realistic first tech role with a portfolio to prove it.

Homepage

https://www.udemy.com/course/ai-software-testing-qa-beginners

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ftyih.AI.Software.Testing.Zero.to.JobReady.QA.No.Coding.part2.rar.html
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ftyih.AI.Software.Testing.Zero.to.JobReady.QA.No.Coding.part2.rar

  Author: Baturi   |   28 June 2026   |   : 0

A History of the Global Economy from Medieval Times to Today
Published 6/2026
Created by Arcana Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 1h 38m ) | Size: 1.1 GB
Discover the unconventional forces, financial crises, and strategic shifts that shaped modern capitalism.

What you'll learn

⚡ Trace the evolution of global trade and finance from medieval merchant networks to modern financial markets
⚡ Identify the recurring patterns of credit cycles, asset bubbles, and economic crises across eight centuries of history
⚡ Analyze landmark financial crises — from the tulip mania to 2008 — and extract strategic lessons applicable today
⚡ Understand how monetary systems, central banks, and sovereign debt have shaped geopolitical and economic power
⚡ Connect historical precedents to current market dynamics, improving strategic and investment decision-making

Requirements

❗ No economics degree required — curiosity about history, finance, and how the world works is enough to get started

Description

This course contains the use of artificial intelligence.
Are you ready to look beyond standard textbooks and understand how the modern worldreally works?
Most history courses give you dates and events. Most economics courses give you abstract equations. This course bridges the gap, offering astrategic, unconventional, and deeply analytical journey through the evolution of global capitalism—from the collapse of medieval manors to the digital and fragmented markets of the 21st century.
If you want to understand the hidden drivers of wealth, power, global inequality, and financial crises, you need to look at the institutional and structural shifts that shaped human history.
Why this course is different
This is not a linear memorization of facts. It is a strategic masterclass designed to give you anunconventional edge in reading global macroeconomic cycles. We will dissect the duel between geography, culture, and institutions, examining how networks of exchange evolved and why some nations succeeded while others fell behind.
To guarantee maximum academic rigor and depth, the curriculum is entirely built upon the foundational works of the world's greatest economic historians, sociologists, and thinkers. You will not just learn economic history; you will learn how to analyze it through the lenses ofAdam Smith, Karl Marx, Max Weber, Karl Polanyi, Joseph Schumpeter, Douglass North, Branko Milanovic, and Adam Tooze.
What You Will Master
Throughout our journey, we will explore 9 strategic eras
✨The Awakening of Institutions (10th–15th Century): The transition from feudalism, the security of contracts, and commercial trust.
✨The Software of Faith & Leviathan (16th–17th Century): Religion as an economic motor, the "spirit" of capitalism, and war as a creator of states.
✨The Great Divergence & Innovation (18th Century): The rise of pro-market rhetoric and the gap between East and West.
✨Steam, Capital, & Revolution (1760–1850): The anatomy of the Industrial Revolution and the profound critique of capital.
✨Economic Backwardness & Creative Destruction (1850–1914): Late industrialization, managerial revolutions, and status consumption.
✨The Collapse & Great Transformation (1914–1945): The end of the gold standard, manias, panics, and the global Great Depression.
✨The Battle of Ideas & Political Order (1945–1980): State planning versus market freedom, and development in the periphery.
✨Globalization & Inequality (1980–2008): Neoliberalism, the rise of network societies, and global balance shifts.
✨Post-Crisis Capitalism & Fragmentation (2008–Present): The aftermath of The Great Recession, digital capitalism, and 21st-century geopolitical tensions.
Our Academic Foundations (Selected Bibliography Included in the Course)
By enrolling, you will gain structural insights derived directly from a world-class curriculum, including
✨Classical & Institutional Foundations: Douglass North (Institutions ), Avner Greif, Daron Acemoglu & James Robinson (Why Nations Fail ), and Adam Smith (Wealth of Nations ).
✨Sociology & Capitalism's Spirit: Max Weber, R.H. Tawney, Karl Polanyi (The Great Transformation ), and Émile Durkheim.
✨Macroeconomics, Crises & Modernity: John Maynard Keynes, Joseph Schumpeter, Charles Kindleberger (Manias, Panics, and Crashes ), and Adam Tooze (Crashed ).
✨Global Dynamics & Inequality: Kenneth Pomeranz (The Great Divergence ), Fernand Braudel, Thomas Piketty, and Branko Milanovic.

Who this course is for

⭐ Finance and business professionals seeking historical context to sharpen their strategic and market intuition
⭐ Educated general learners curious about how money, debt, and power have shaped the modern world
⭐ Investors and analysts who want to recognize recurring economic patterns across cycles and crises

Homepage

https://www.udemy.com/course/a-history-of-the-global-economy-from-medieval-times-to-today

Rapidgator
hwuyi.A.History.of.the.Global.Economy.from.Medieval.Times.to.Today.part1.rar.html
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  Author: Baturi   |   28 June 2026   |   : 0

250+ Python DSA Coding Practice Test [Questions & Answers]
Published 6/2026
Created by Jitendra Suryavanshi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 14 Lectures ( 57m ) | Size: 408.8 MB
Python DSA Coding Interview Questions and Answers (Solution Code with Detailed Explanations) | Coding Practice Exercises

What you'll learn

⚡ Solve 250+ Python Data Structures and Algorithms (DSA) coding interview questions with confidence.
⚡ Master core DSA concepts including Arrays, Strings, Linked Lists, Stacks, Queues, Trees, Graphs, and Hashing.
⚡ Learn how to write optimized Python solutions using clean and efficient coding practices.
⚡ Understand and analyze Time Complexity (Big O) and Space Complexity for every solution.
⚡ Apply important algorithmic techniques such as Two Pointers, Sliding Window, Prefix Sum, Binary Search, Greedy Algorithms, Recursion, Backtracking, and Dynamic
⚡ Strengthen logical thinking and problem-solving skills through hands-on coding practice.
⚡ Learn to identify common coding interview patterns and choose the most suitable algorithm for different problem types.
⚡ Solve beginner, intermediate, and advanced DSA problems frequently asked in technical interviews.
⚡ Gain practical experience with advanced data structures including Heaps, Priority Queues, Tries, Binary Search Trees (BST), and Union-Find (Disjoint Set).
⚡ Improve coding speed and accuracy by practicing real-world interview-style programming questions.
⚡ Understand mathematical concepts and Bit Manipulation techniques commonly used in competitive programming and coding interviews.
⚡ Build a strong foundation in Python programming for solving algorithmic and computational problems.

Requirements

❗ Basic knowledge of Python programming (variables, data types, loops, functions, and conditional statements).

Description

This course contains the use of artificial intelligence. 250+ Python DSA Coding Practice Test[Questions & Answers]
Prepare for coding interviews and strengthen your problem-solving skills with this comprehensivePython Data Structures and Algorithms (DSA) practice course. Designed for beginners, college students, software developers, and job seekers, this course contains250+ carefully selected coding questions with detailed explanations and optimized Python solutions.
Whether you're preparing for product-based company interviews, coding assessments, placement exams, or competitive programming, this course provides hands-on practice across the most important DSA topics. Each problem is explained step by step to help you understand the logic, improve your coding skills, and write efficient solutions.
Unlike traditional theory-heavy courses, this course focuses onlearning by solving real coding problems. Every question includes a clear explanation of the approach, Python implementation, time complexity, and space complexity analysis.

What you'll learn

✨ Solve 250+ Python DSA coding interview questions
✨ Master problem-solving techniques using Python
✨ Understand optimized algorithms and coding patterns
✨ Improve coding speed and logical thinking
✨ Learn how to analyze time and space complexity
✨ Prepare confidently for technical interviews and online coding assessments
Topics Covered
✨ Arrays
✨ Strings
✨ Linked Lists
✨ Stacks & Queues
✨ Trees & Binary Search Trees (BST)
✨ Graphs
✨ Recursion & Backtracking
✨ Dynamic Programming
✨ Sorting & Searching
✨ Heaps & Priority Queues
✨ Tries
✨ Greedy Algorithms
✨ Bit Manipulation
✨ Math & Number Theory
✨ Hashing
✨ Sliding Window
✨ Two Pointers
✨ Prefix Sum
✨ Binary Search
✨ Union-Find (Disjoint Set)
✨ Monotonic Stack & Queue
✨ Advanced Interview Patterns
Course Features
✨ 250+ coding practice questions
✨ Detailed Python solutions for every problem
✨ Step-by-step explanations
✨ Optimized approaches with complexity analysis
✨ Beginner-friendly teaching style
✨ Interview-focused problem selection
✨ Real-world coding interview practice
✨ Suitable for self-paced learning
Why Take This Course?
Success in coding interviews comes from consistent practice. This course provides a structured collection of frequently asked DSA questions that help you recognize common problem-solving patterns and develop confidence in writing optimized Python solutions.
By the end of this course, you'll have solved hundreds of interview-style coding problems, gained a strong understanding of core DSA concepts, and be well-prepared for coding rounds at startups, product-based companies, and leading tech organizations.
Start solving, keep practicing, and take your Python coding skills to the next level!

Who this course is for

⭐ Beginners who want to learn Data Structures and Algorithms (DSA) using Python through hands-on coding practice.
⭐ Students preparing for campus placements, coding assessments, and technical interviews.
⭐ Python developers looking to strengthen their problem-solving and algorithmic thinking skills.
⭐ Software engineers preparing for interviews at FAANG and other product-based companies.
⭐ Competitive programmers who want to improve their coding speed and master common DSA patterns.
⭐ Self-taught programmers looking for a structured collection of 250+ Python coding interview questions with detailed solutions.
⭐ Professionals planning to switch careers into software development or secure higher-paying developer roles.
⭐ Developers who want to write more efficient, optimized, and interview-ready Python code.
⭐ Anyone interested in mastering coding interview patterns and building confidence through consistent DSA practice.

Homepage

https://www.udemy.com/course/python-dsa-coding-interview-questions-answers

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  Author: Baturi   |   28 June 2026   |   : 0

  Author: Baturi   |   28 June 2026   |   : 0

  Author: Baturi   |   28 June 2026   |   : 0

  Author: Baturi   |   28 June 2026   |   : 0

  Author: Baturi   |   28 June 2026   |   : 0

  Author: Baturi   |   28 June 2026   |   : 0

  Author: Baturi   |   28 June 2026   |   : 0