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Deploy an Agent with Agent Development Kit (ADK) : Challenge Lab | Google Cloud Skills Boost | AI

Tech Guide Sai

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Deploy an Agent with Agent Development Kit (ADK) : Challenge Lab | Google Cloud Skills Boost | AI

4 603 просмотра · 6 дней назад
Tech Guide Sai
252 подписчика
4 603 просмотра · 6 дней назад
Learn how to build and deploy AI Agents using Google's Agent Development Kit (ADK) in this complete Challenge Lab walkthrough. Lets Proceed. In this hands-on Google Cloud lab, you'll learn how to create a multi-agent architecture using a root agent and sub-agents, integrate Agent Search tools, use Python functions as tools, manage session state, deploy agents to Agent Runtime, and interact with deployed agents. --------------------------------------------------------------------------------------- Expected Errors:- 1). If Gemini 3.5 flash gets error, use gemini 2.5 flash in coode Updates To Be Done :- ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ------------------------------------------------------------------------------------ Updates To be done:- ----------------------------------------------------------------------------------- After It should be like this: -------------------------------------------------------------------------------------------------------- Remove that search_agent and write the AgentTool()....I have written below....finally it looks like that. --------------------------------------------------------------------------------------------------------- sub_agents=[room_planner_agent], tools=[ set_session_value, AgentTool(agent=search_agent, skip_summarization=False) ], -------------------------------------------------------------------------------------------------------------- Note:- False),...False after last a comma was there plese remove that...upto brackets is enough....False)....correct....while pasting i forgot full....so just remove comma " , " at last....no other item is present. so... -------------------------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------------------------- The below is to deploy. ---------------------------------------------------------------------------------------------------------------- adk deploy agent_engine paint_agent --display_name="Paint Agent" -------------------------------------------------------------------------------------------------------------- 💡 What You'll Learn is: ✅ Build a Root Agent and Sub-Agents using ADK ✅ Configure Agent Search Tools ✅ Create Python Functions as Agent Tools ✅ Store and Retrieve Session State Data ✅ Deploy Agents to Agent Runtime ✅ Query and Test Your Deployed Agent ✅ Understand Agentic AI Development on Google Cloud Subscribe to Tech Guide Sai for more: DevOps Terraform Linux Administration Cloud Certifications Google Cloud Labs Generative AI Tutorials Kubernetes #GoogleCloud #ADK #AgentDevelopmentKit #googlegemini #geminiai #AgenticAI #GenerativeAI #GeminiAI #ArtificialIntelligence #CloudComputing #DevOps #GoogleCloudSkillsBoost #AIAgents #MachineLearning #techguidesai