AI-Powered Test Automation: From Intelligent Tools to Autonomous Testing Agents

Master the cutting-edge intersection of AI and test automation. This advanced, hands-on course takes you from AI-enhanced testing tools through building fully autonomous testing agents. Learn self-healing automation, visual AI testing, agentic AI systems, and enterprise-scale implementation strategies. Build production-ready skills with Playwright, Azure DevOps, and emerging AI testing technologies that are reshaping the industry.

🎯 What You’ll Learn

• Implement self-healing test automation that reduces maintenance by 70%+ using AI-powered tools
• Build autonomous testing agents with Playwright and LLMs that make intelligent runtime decisions
• Design and deploy visual AI testing strategies for cross-browser validation
• Integrate AI testing tools into Azure DevOps pipelines with smart test selection
• Architect enterprise-grade AI testing frameworks with measurable ROI
• Apply prompt engineering techniques to generate high-quality test code and scenarios
• Evaluate and select AI testing tools based on organizational needs and maturity
• Create production-ready agentic AI systems for exploratory and adaptive testing
• Implement AI-powered security and performance testing in CI/CD workflows
• Lead organizational transformation toward AI-enhanced testing practices

👥 Target Audience

Advanced QA engineers, test automation engineers, SDET professionals, and technical QA leads with existing automation experience who want to leverage AI to transform their testing practice and career trajectory.

⏱️ Estimated Time

48 hours

📋 Prerequisites

• 2+ years experience in test automation (Selenium, Cypress, or similar)
• Proficiency in at least one programming language (JavaScript/TypeScript, Python, or Java)
• Understanding of web technologies (HTML, CSS, DOM)
• Familiarity with version control (Git/GitHub)
• Basic understanding of CI/CD concepts
• Experience with REST API testing recommended

📚 Course Modules

1. Foundations + AI Testing Revolution - Rapidly establish the testing foundation needed for AI integration, then dive into why AI is revolutionizing test automation. Understand the landscape of AI, ML, and Generative AI technologies, explore the current ecosystem of AI testing tools, and immediately start using AI to enhance your testing workflow. This module bridges traditional automation with AI-powered approaches through hands-on practice generating test cases, data, and complete test suites using LLMs.
2. AI-Powered Automation Tools: Self-Healing, Visual AI & Copilots - Master the current generation of AI testing tools that are already transforming teams’ productivity. Implement self-healing automation that automatically repairs broken tests, deploy visual AI for pixel-perfect cross-browser validation, and leverage AI copilots to accelerate test development. Learn when to use no-code AI platforms versus coded solutions. This highly practical module focuses on tools delivering immediate ROI with hands-on implementation across web and API testing scenarios.
3. Agentic AI & Playwright: Building Autonomous Testing Agents ⭐ - Enter the future of testing with autonomous AI agents that make intelligent decisions at runtime. Master Playwright as your automation foundation, then architect goal-oriented testing agents powered by LLMs. Unlike traditional scripts that follow predetermined paths, these agents explore applications dynamically, discover edge cases autonomously, and adapt strategies based on context. Build production-ready agentic systems that represent the fourth wave of test automation—moving from scripted to truly intelligent testing.
4. Enterprise Strategy & Production Implementation - Transform from individual contributor to strategic leader by implementing AI testing at enterprise scale. Master Azure DevOps integration with AI-powered test selection, parallel execution, and intelligent analytics. Extend AI beyond functional testing into security and performance domains. Develop organizational change strategies, build ROI frameworks, and design governance models for multi-team adoption. Culminate with a complete enterprise AI testing framework that demonstrates leadership-level thinking and production-ready architecture.