Evaluate Research Assistant AI Agents with ADK

Developing effective AI agents requires rigorous testing to ensure they deliver reliable and accurate results. This course equips you with the foundational knowledge and practical skills to design, implement, and interpret evaluation suites for AI agents, enabling you to confidently assess their capabilities. What you'll learn: * Understand core concepts of AI agent evaluation, including key metrics and criteria. * Design and implement structured evaluation suites using the ADK framework. * Apply techniques for assessing agent performance, reliability, and potential bias. * Interpret evaluation results to identify areas for agent improvement and refinement. * Practice setting up test cases and benchmarks for various research-oriented tasks. * Learn to incorporate human feedback and automated methods for comprehensive evaluation. * Configure reproducible evaluation environments for consistent and trustworthy testing. The course begins with essential terminology and theoretical foundations of AI agent evaluation before guiding you through practical steps to set up and run your own evaluation tests. This course is ideal for beginners interested in AI agent development and evaluation, with no prior experience in AI evaluation required. Start your journey to building more robust and trustworthy AI agents today.