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://github.com/Ranjithkhan17/GCP_projects/blob/main/GENAI155%7CEvaluate%20and%20Improve%20Agent%20Development%20Kit%20Agents%3A%20Challenge%20Lab

#googlecloud #adk #agentdevelopmentkit #generativeai #aiagents #agenticai #gemini #vertexai #promptengineering #cloudcomputing #rktechlearning

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