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QA Agents

Building AI QA Agents from Scratch

Course Overview

AI QA Agents are the next frontier in software quality. Instead of running fixed test scripts, these agents autonomously explore applications, identify issues, and adapt to changes. This weekend course teaches you to build real AI testing agents using modern agent frameworks, LLMs, and browser automation — from simple agents to multi-agent QA systems.

Key Points

Understand AI agent architecture and design patterns

Build browser-based QA agents with Playwright and LLMs

Create agents that autonomously explore and test UIs

Implement tool-use and function calling in QA agents

Design multi-agent QA systems for complex applications

Build self-reporting agents that generate bug reports

Integrate QA agents into CI/CD pipelines

Deliver a production-ready QA agent as capstone

Course Outline

Module 1: AI Agents Foundations

  • What AI agents are and how they differ from scripts
  • Agent architecture: perception, reasoning, action
  • LLMs as reasoning engines for testing agents
  • Overview of agent frameworks: LangChain, AutoGen, CrewAI

Module 2: Browser Automation for Agents

  • Playwright fundamentals for AI agent integration
  • DOM perception: extracting UI context for LLMs
  • Action execution: clicks, forms, navigation
  • Error recovery and retry logic in browser agents

Module 3: Building Your First QA Agent

  • Single-agent design: planning, acting, observing loop
  • Prompt design for QA task instructions
  • Tool use: search, click, screenshot, assert
  • Handling dynamic and stateful UI applications

Module 4: Multi-Agent QA Systems

  • Multi-agent architecture for test orchestration
  • Specialized agents: explorer, validator, reporter
  • Agent communication and task delegation
  • Managing agent memory and context windows

Module 5: Reporting and CI Integration

  • Auto-generating bug reports with evidence
  • Screenshot capture and visual diff in agent reports
  • Integrating QA agents into GitHub Actions
  • Metrics: coverage, defect detection rate, agent efficiency

Module 6: Capstone — Production QA Agent

  • Full QA agent for a real-world web application
  • Agent hardening, edge case handling, optimization
  • Portfolio documentation and GitHub showcase
  • Career paths: AI QA engineer, automation architect
Ahsan Akhtar
Senior Test Automation Engineer & AI Trainer

This Course Includes

Duration 6-8 weeks (Weekend Classes Only)

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Courses

Extensive range of courses to choose from.

Test Automation
Test Automation
AI & Automation
AI & Automation
AI Automation
AI Automation
AI Testing
AI Testing
SEO
SEO
QA Agents
QA Agents
Graphic Design
Graphic Design
AWS
AWS

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