Udemy

Develop AI Agents with Google ADK | MCP | A2A - Masterclass

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  • 360 名學生
  • 更新於 1/2026
4.7
(14 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
11 小時 53 分鐘
教學語言
英語
授課導師
K8s Point - Training House for GCP, AI & Kubernetes
評分
4.7
(14 個評分)
1次瀏覽

課程簡介

Develop AI Agents with Google ADK | MCP | A2A - Masterclass

Agentic AI Apps. All codes Included - A Complete Tutorial on Google Agent Development Kit (ADK). Multi Agent System

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 options

  • Use built-in tools, custom tools, 3rd party tools

  • Use CrewAI and Langchain tools with ADK AI Agents

  • Use Agents as tool

  • Sub agent system

  • MCP basic, Deploy MCP server in Cloud Run, use MCP as tool with AI Agents

  • Develop your Multi Agent System

  • Workflow agents - Sequential Agent / Parallel Agent / Loop Agent

  • MCP Database Toolbox. ( Gen AI Toolbox for Databases)

  • Agent2Agent communications with Complete A2A Examples

  • Deploy your agent using adk command line library

  • Deploy your agent into Vertex AI Agent Engine, Cloud Run , Google Kubernetes Engine (GKE)

  • Sessions and Memory in AI Agent

  • Learn to use Callback in AI Agent - Types of callback

  • Learn how to setup Agent config

  • Message management within agents with output_key , input_schema, output_schema

  • Complete GKE setup with Docker details



課程章節

  • 19 個章節
  • 143 堂課
  • 第 1 章 Introduction
  • 第 2 章 Develop Your First Agent
  • 第 3 章 Deployment of Your First Agent
  • 第 4 章 Agent Starter Pack
  • 第 5 章 Using Tools with Agents
  • 第 6 章 Multi Agent System
  • 第 7 章 Multi Agent System - Workflow Agents
  • 第 8 章 Data Structure with AI Agents
  • 第 9 章 Agent Config - Temperature, Tokens, Safety Settings
  • 第 10 章 Grounding Agent with Vertex AI Search
  • 第 11 章 Runner, Session, State & Memory
  • 第 12 章 Using Artifacts with ADK
  • 第 13 章 Callbacks with ADK
  • 第 14 章 Deploy Your Agent in Cloud Run - Using adk command
  • 第 15 章 Deploy Your Agent in Cloud Run - Docker Container
  • 第 16 章 Deploy Your Agent in GKE Cluster - Docker & adk Way
  • 第 17 章 Understanding MCP & Using MCP Server with AI Agents
  • 第 18 章 MCP Toolbox for Databases
  • 第 19 章 Agent to Agent Communication ( A2A) with ADK

課程內容

  • 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, Agent2Agent Communication with A2A, MCP and using MCP with AI Agent, Session and Memory Management in Agents, Callback with Agents, Authenticate with Gemini API Key, Vertex AI or OpenAI / Anthropic, Deploy Your Agent in Vertex AI Agent Engine, Cloud Run & GKE, MCP Database ToolBox ( Gen AI Toolbox for Databases)


評價

  • K
    Koushik Roy
    5.0

    Good

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