AI for Software Testers: Free QA Course from Beginner to Pro

Free Course · Updated November 2026

Learn to Use AI in Testing, from Your First Prompt to Your Own QA Agent in Production

This free AI for software testers course takes you from beginner to pro. Every big idea starts with an Explain Like I’m 5 story, and every lesson has a hands-on exercise, a ready-to-copy prompt and interview questions.

10Levels
97Lessons
1Production project
100%Free
Start the Course →View Full SyllabusAI Interview Questions

How This AI Course Works

1. Understand

Each big idea starts with a simple Explain Like I’m 5 story, then its real meaning.

2. Try

Use the ready-to-copy prompt and a hands-on exercise on demo websites.

3. Practise

Complete the assignment at the end of each lesson.

4. Interview

Prepare with five interview questions and model answers per lesson.

Your Learning Path

BeginnerLevels 1–3: AI basics, prompt engineering and AI in daily testing IntermediateLevels 4–5: AI-assisted automation and testing AI products AdvancedLevels 6–8: build QA agents, MCP tools and a full project ProLevels 9–10: deploy to production and crack interviews

AI for Software Testers Syllabus

1

Level 1: AI Foundations for Testers

Understand AI, LLMs, hallucinations, how the QA role is changing and how to keep your data safe.

Beginner5 lessons
  1. 01Generative AI and LLMs for Software Testers, Explained Simply
  2. 02How LLMs Work: Tokens, Context and Why Answers Change
  3. 03AI Hallucinations in Software Testing: Why AI Output Must Be Checked
  4. 04Will AI Replace Software Testers? How the QA Role Is Changing
  5. 05AI Data Privacy for Testers: Your Toolkit and Safety Rules
2

Level 2: Prompt Engineering for QA

Write clear prompts, teach AI your format, chain prompts, review the output and build a reusable library.

Beginner6 lessons
  1. 06Prompt Engineering for Software Testers: The 5-Part QA Prompt Formula
  2. 07Few-Shot Prompting for Test Cases: Teach AI Your Team’s Format
  3. 08Prompt Chaining for Test Cases: From Requirement to Test Suite
  4. 09Gherkin Test Cases with AI: Get Tables, JSON and CSV Output
  5. 10How to Review AI-Generated Test Cases: A Beginner’s Guide
  6. 11Build Your QA Prompt Library: Save and Reuse Prompts That Work
3

Level 3: AI in Daily Testing

Use AI for requirements, test design, test data, exploratory testing, bug reports and test summaries.

Beginner10 lessons
  1. 12Review User Stories with AI: Find Gaps in Acceptance Criteria
  2. 13Create a Test Plan with AI: A Practical Guide for Testers
  3. 14Test Design Techniques with AI: Boundaries, Tables and States
  4. 15Synthetic Test Data with AI: Create Safe, Realistic Data
  5. 16Exploratory Testing with AI: Better Charters and Test Ideas
  6. 17Write Better Bug Reports with AI: Clear Steps and Evidence
  7. 18Log Analysis with AI: Read Logs and Stack Traces as a Tester
  8. 19Risk-Based Regression Testing with AI: Choose What to Test
  9. 20Test Summary Report with AI: Write Results Stakeholders Understand
  10. 21AI Testing Project for Beginners: Build a Complete Test Pack
4

Level 4: AI-Assisted Test Automation

Generate and review UI and API tests with AI, and diagnose flaky tests and CI failures.

Intermediate11 lessons
  1. 22TypeScript and Playwright Basics for Testers: A Git Primer
  2. 23AI Coding Assistants for Testers: Use Your IDE Safely
  3. 24Generate Playwright Tests with AI: Stable Locators and Real Assertions
  4. 25Page Object Model with AI: Design a Clean Playwright Framework
  5. 26Migrate Selenium to Playwright with AI: A Safe Step-by-Step Plan
  6. 27API Testing with AI: From OpenAPI Specs to Playwright Tests
  7. 28SQL Database Validation with AI: Check Data Like a Tester
  8. 29Performance Testing with AI: Write Scripts and Read Results
  9. 30Accessibility and Security Testing with AI: Safe First Steps
  10. 31Flaky Test Diagnosis with AI: Triage CI Failures Faster
  11. 32Review AI-Generated Automation Tests: Catch Weak Playwright Code
5

Level 5: Testing AI Products

Learn how to test chatbots, RAG applications and agents using evaluation sets and clear metrics.

Intermediate8 lessons
  1. 33How to Test AI Applications: Why AI Testing Is Different
  2. 34LLM Test Strategy: How to Test a Chatbot or AI Feature
  3. 35Golden Dataset for LLM Evaluation: Build Your Test Set
  4. 36LLM Evaluation Metrics for Testers: Faithfulness, Relevance and Hallucination Rate
  5. 37Testing RAG Applications: Retrieval, Grounding and Answers
  6. 38Testing AI Agents: Tool Calls, Loops and Stop Conditions
  7. 39Prompt Injection Testing: Jailbreaks, Data Leakage and Bias
  8. 40LLM Regression Testing in CI: Evaluation Tools That Catch Drift
6

Level 6: Create a QA Agent from Scratch

Learn how agents work, then build a small QA agent with validated output and a switchable model.

Advanced7 lessons
  1. 41AI Agent vs Chatbot vs Automation Script: What Testers Should Know
  2. 42AI Agent Building Blocks: Role, Context, Tools and Guardrails
  3. 43The AI Agent Loop Explained: Think, Act, Observe and Stop
  4. 44Build an AI Agent from Scratch: Your First One-Tool QA Agent
  5. 45LLM Structured Output: Validate AI Responses with a Schema
  6. 46LLM Provider Adapter: Switch AI Models Without Rewriting Code
  7. 47Multi-Agent Orchestration for QA: Workflows and Frameworks
7

Level 7: MCP Servers for QA

Understand MCP, connect ready-made servers, build your own QA tools and secure them.

Advanced7 lessons
  1. 48What Is an MCP Server? A Simple Guide for Software Testers
  2. 49MCP Architecture Explained: Host, Client, Server and Transports
  3. 50Playwright MCP Workflow for Testers: Explore Safely, Then Automate
  4. 51Build an MCP Server for QA: Your First Read-Only Test Tool
  5. 52MCP Server Testing: Bad Input, Timeouts and Disconnections
  6. 53MCP Tool Design for QA: Browser, File, Test Runner and Report Tools
  7. 54MCP Security for Testers: Permissions, Allowlists and Approvals
8

Level 8: Project: QA Automation AI Agent

Build a complete agent that plans, generates, runs, diagnoses and reports Playwright tests with human approval.

Advanced22 lessons
  1. 55QA Automation AI Agent Project: Vision, MVP Scope and Architecture
  2. 56AI Agent Project Setup: Prerequisites and a Safe Local Environment
  3. 57AI Agent Project Structure: Repository, Scripts and TypeScript Setup
  4. 58Deterministic Playwright Tests: The Foundation of Your QA Agent
  5. 59AI Agent Guardrails: Contracts, Context and Safety Limits for QA
  6. 60AI Requirement Parser: Turn User Stories into Structured Data
  7. 61AI Explorer Agent: Collect Real UI Evidence with Playwright
  8. 62AI Test Planner Agent: Create Traceable Test Scenarios
  9. 63AI Test Generator Agent: Write Playwright Tests Safely
  10. 64Validate AI-Generated Code: Static Checks and Human Approval
  11. 65AI Test Executor: Run Playwright Tests in a Controlled Way
  12. 66AI Agent Orchestrator: Run the Whole Workflow with a Mock LLM
  13. 67Connect an LLM Safely: Add a Real Model to Your QA Agent
  14. 68AI Test Failure Analysis: Classify Failures with Evidence
  15. 69Self-Healing Tests with AI: A Safe, Reviewed Healing Loop
  16. 70AI Test Report: Build an Evidence-Based Run Summary
  17. 71MCP Browser Tool: Connect Your QA Agent, Read-Only First
  18. 72AI Agent CI Pipeline: GitHub Actions and Quality Metrics
  19. 73AI Agent Evaluation: Security, Reliability and a Test Pack
  20. 74AI Agent Acceptance Criteria: End-to-End Checklist and MVP Demo
  21. 75AI Master Prompt for QA Projects: Use AI as Your Build Partner
  22. 76QA AI Portfolio Project: Future Enhancements and How to Present It
9

Level 9: Deploy Your Agent to Production

Run your QA agent as a secure, monitored service, while it keeps testing only approved environments.

Pro13 lessons
  1. 77AI Agent in Production: What Changes for a QA Agent
  2. 78AI Agent Architecture for Production: API, Queue, Workers and Storage
  3. 79AI Agent as a Service: Wrap Your QA Agent in an API
  4. 80Agent Workflow State: Save Runs, Traces and Evidence
  5. 81Playwright Docker Image: Package Your QA Agent
  6. 82Deploy an AI Agent to the Cloud: A Safe First Release
  7. 83AI Agent Access Control: Secrets, Sign-In, Roles and Network Limits
  8. 84Human Approval Workflow for AI Agents: Slack, Jira and Pull Requests
  9. 85Prompt Versioning and Evaluation Gates: CI/CD for AI Agents
  10. 86AI Agent Observability: Logs, LLM Traces and Alerts
  11. 87LLM Cost Control: Token Budgets and Rate Limits for AI Agents
  12. 88AI Agent Production Readiness: Rollout and Incident Runbook
  13. 89Measure AI Testing ROI: Jira and GitHub Integration for QA Agents
10

Level 10: Build a Pro QA Profile and Crack Interviews

Turn your skills into a strong portfolio, resume and interview performance.

Pro8 lessons
  1. 90QA Career Path with AI: From Manual Tester to QA Architect
  2. 91QA GitHub Portfolio: README, Demo Video and Real Metrics
  3. 92QA Resume with AI Skills: Resume and LinkedIn for Testers
  4. 93Manual Testing AI Interview Questions and Model Answers
  5. 94SDET AI Interview Questions: Automation and Agents with Answers
  6. 95LLM Testing Interview Questions: RAG, Evaluation and Safety
  7. 96AI System Design Interview: Design a QA Agent Step by Step
  8. 97QA Mock Interview with AI: Ethics, Company Policy and Final Review

Who This Course Is For

  • Manual and functional testers who want to use AI reliably: start at Level 1, no coding needed.
  • Automation engineers and SDETs moving into AI-related QA work: focus on Levels 4 to 8.
  • QA leads and architects planning safe AI adoption: focus on Levels 5 and 9.
  • Job seekers preparing for QA interviews: use the questions in every lesson, then Level 10.

What You Need

AI for Software Testers FAQs

Is this AI for software testers course free?

Yes. Every lesson, prompt, exercise and interview question in this course is free to read on SQA Tools.

Do I need coding or maths to start?

No. Levels 1 to 3 need no coding or maths. Coding starts in Level 4, and the course links to the lessons that help you prepare.

Is this course only for automation engineers?

No. Manual testers can start at Level 1 and get value straight away. Later levels take you into automation, testing AI products and building agents.

Which AI tool do I need?

Any mainstream AI chat assistant that you are allowed to use is enough for the early levels. The skills in this course transfer between tools.

Will I build a real AI agent?

Yes. Levels 6 to 9 take you from a one-tool agent to a complete QA agent running as a production service with human approvals.

Will this help me in QA interviews?

Yes. Every lesson has five interview questions with model answers, and Level 10 is dedicated to your profile and interview preparation.

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