Develop AI Agents with Google | ADK | MCP - Masterclass
Date: 10 December 2025 | Posted by: AD-TEAM
Develop AI Agents with Google | ADK | MCP - Masterclass
Published 11/2025
Duration: 6h 46m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 3.66 GB
Genre: eLearning | Language: English
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 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
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
Who this course is for:
- Anyone who wants to become AI Agent Developer
- Everyone who is in the world of AI
More Info
RapidGator
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