What you'll learn:
- Build your AI Agent with Ease with Google Agent Development Kit (ADK)
- Includes a Real World Agent Demo using ADK, Copilotkit & AG-UI - with Complete Explanation and Code
- 95% of the Course is Practical Implementation - Learn with Examples
- Beginners Friendly Course - No Prior Knowledge required on AI Agents
- All Codes Included - Download the Code and Practice Along with Us
- Develop your Multi Agent System with MCP, A2A
- Workflow Agents - Sequential, Parallel and Loop Agents
- Use In-built & 3rd Party Tools with Agents - CrewAI and Langchain Tools
- Agent2Agent Communication with A2A - Learn How to Integrate A2A with ADK
- Complete Understanding of MCP and using MCP with ADK 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)
*** Now with a step to step guide on a REAL-WORLD Demo using ADK, MCP and Copilotkit ***
*** ADK 2.0 Now added to the course ***
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
Open Models with Ollama - Using Gemma with ADK Agent
MCP basic, Deploy MCP server in Cloud Run, use MCP as tool with AI Agents
Real world demo with Copilotkit and ag_ui
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
