This module moves QA professionals from AI mindset to practical method: mapping AI capabilities onto the SDLC, choosing the right tool categories, and using AI responsibly in enterprise testing. You’ll learn hallucination risks, tool-tier safety, synthetic data strategies, and compliance-driven testing for HIPAA/GDPR. The module also shows how to use AI to review automation code, triage failures, and design a safe, high-impact AI-assisted workflow you can apply in your next sprint.

• Identify where AI can add value across each phase of the software development lifecycle
• Select the appropriate AI tool category for specific QA problems and scenarios
• Apply security, governance, and data-handling rules, including synthetic data practices and HIPAA/GDPR considerations