Nikhil is an applied data science & cloud professional with over a decade of experience in developing and implementing ML, Deep Learning, and GenAI solutions for a variety of industries like Finance, Retail, Energy, etc. He is passionate about the use of data science to solve real-world problems and is always looking for new ways to use data & AI to make a positive impact on the world.
Building AI agents is easy — building reliable AI agents is the hard part. This hands-on workshop is designed for data scientists, ML engineers, and AI practitioners who want to learn how to properly evaluate, test, debug, and deploy production-ready AI agents.
Throughout the workshop, participants will work with a realistic customer-service AI agent using Google’s Agent Development Kit (ADK) to understand how to inspect agent reasoning, validate decision-making, detect failures, and automate regression testing workflows. Rather than evaluating only the final response, the workshop focuses on measuring the full sequence of actions, tool usage, and reasoning steps taken by an agent.
By the end of the session, participants will build a complete automated evaluation pipeline — including verified test cases, bulk regression testing, debugging workflows, and deployment checks that prevent broken agent logic from reaching production.
The workshop is heavily hands-on, with live coding exercises, realistic datasets, and end-to-end workflows that participants can directly apply to their own AI agents after the session.
Key Learning Outcomes
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