Evaluate & Improve ADK Agents: Challenge Lab | Google Cloud ADK in 30 mins |GENAI155 #challengelab

Learn how to evaluate, debug, and optimize AI agents using the Agent Development Kit (ADK) in this hands-on Google Cloud Challenge Lab. In this lab, you'll take the role of an AI engineer working for Google Cloud to improve an intelligent agent designed for Cymbal Pools, a swimming pool installation company. You'll discover how to identify agent behavior issues, create custom evaluation datasets, define rubrics, simplify tool usage, and enhance agent instructions for better performance. What You'll Learn Set up an Agent Development Kit (ADK) development environment Create custom evaluation datasets Define evaluation rubrics for AI agents Identify and debug agent behavior issues Simplify tools and improve agent instructions Re-run evaluations to measure improvements Build more reliable and production-ready AI agents This challenge lab is perfect for: Generative AI Engineers Prompt Engineers AI Agent Developers DevOps Engineers exploring Agentic AI Google Cloud learners preparing for Gen AI certifications 👍 If you found this video helpful, please like, share, and subscribe to RK TechLearning for more Google Cloud, Generative AI, DevOps, Terraform, Kubernetes, and Agentic AI content. Github link:https:https://github.com/Ranjithkhan17/GCP_... #googlecloud #adk #agentdevelopmentkit #generativeai #aiagents #agenticai #gemini #vertexai #promptengineering #cloudcomputing #rktechlearning