Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
11 Hour(s) 53 Minute(s)
Language
English
Taught by
K8s Point - Training House for GCP, AI & Kubernetes
Rating
Course Overview
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
Course Content
- 19 section(s)
- 143 lecture(s)
- Section 1 Introduction
- Section 2 Develop Your First Agent
- Section 3 Deployment of Your First Agent
- Section 4 Agent Starter Pack
- Section 5 Using Tools with Agents
- Section 6 Multi Agent System
- Section 7 Multi Agent System - Workflow Agents
- Section 8 Data Structure with AI Agents
- Section 9 Agent Config - Temperature, Tokens, Safety Settings
- Section 10 Grounding Agent with Vertex AI Search
- Section 11 Runner, Session, State & Memory
- Section 12 Using Artifacts with ADK
- Section 13 Callbacks with ADK
- Section 14 Deploy Your Agent in Cloud Run - Using adk command
- Section 15 Deploy Your Agent in Cloud Run - Docker Container
- Section 16 Deploy Your Agent in GKE Cluster - Docker & adk Way
- Section 17 Understanding MCP & Using MCP Server with AI Agents
- Section 18 MCP Toolbox for Databases
- Section 19 Agent to Agent Communication ( A2A) with ADK
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, 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)
Skills covered in this course
Reviews
-
KKoushik Roy
Good
