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Develop Ai Agents With Google | Adk | Mcp - Masterclass

yanfan001

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Develop Ai Agents With Google | Adk | Mcp - Masterclass
Published 11/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.66 GB | Duration: 6h 46m


All codes Included - A Complete Tutorial on Google Agent Development Agent (ADK). Multi Agent System, Google AI Agents.
What you'll learn
Learn all you need to know on Google ADK
No prior knowledge required on AI Agents
Develop your Multi Agent System
Workflow Agents - Sequential, Parallel and Loop Agents
Use Tools with AI Agent
Use 3rd Party Tools with Agents - CrewAI and Langchain Tools
Session and Memory Management in Agents
Callback with Agents
Authenticate with Gemini API Key, Vertex AI or OpenAI / Anthropic
MCP and using MCP with AI Agent
Deploy Your Agent in Vertex AI Agent Engine, Cloud Run & GKE
Requirements
Very Basic Python
Eager to become AI Agents Champion
Description
AI Agents are the Future. Be part of this technology evolution and become the next AI Agent master.Build your AI Agents with Google Agent Development Kit (ADK). Learn everything you need to know.A complete course on Google ADK with step by step process on how to develop and deploy your Agent in Google Cloud. Learn from Basic to prod Level.Environment Setup ( Google Cloud / Local Desktop - laptop)Authenticate using Gemini Key / Vertex AI / 3rd Party ( Open AI / Anthropic)Learn to test your agent locally with adk web, adk run and adk api_server optionsUse built-in tools, custom tools, 3rd party toolsUse CrewAI and Langchain tools with ADK AI AgentsUse Agents as toolSub agent systemMCP basic, Deploy MCP server in Cloud Run, use MCP as tool with AI AgentsDevelop your Multi Agent SystemWorkflow agents - Sequential Agent / Parallel Agent / Loop AgentDeploy your agent using adk command line libraryDeploy your agent into Vertex AI Agent Engine, Cloud Run , Google Kubernetes Engine (GKE)Sessions and Memory in AI AgentLearn to use Callback in AI Agent - Types of callbackLearn how to setup Agent configMessage management within agents with output_key , input_schema, output_schemaComplete GKE setup with Docker details
Anyone who wants to become AI Agent Developer,Everyone who is in the world of AI

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