If you are a developer, cloud engineer, or AI enthusiast who wants to create your first AI agent using the Google Agent Development Kit (ADK) and deploy it using Agent Engine on Google Cloud, this free hands on course covers the basics. It includes introduction to AI agents and Google ADK, environment setup (Google Cloud/local), authentication options, testing agents locally, using built in, custom, and third party tools, and using CrewAI and Langchain tools with ADK.

This Course Offers

• A Practical Introduction to Google ADK: You will learn how AI agents work, how to build one using Google ADK, and how to deploy it using Google Agent Engine.
• Hands On Environment Setup: The course covers environment setup on Google Cloud or local desktop, authentication using Gemini Key, Vertex AI, or third party (OpenAI/Anthropic).
• Local Testing and Deployment: You will learn to test your agent locally with adk web, adk run, and adk api server options, and deploy your agent to Vertex AI Agent Engine with a simple command.
• Tool Integration: The course covers using built in tools, custom tools, third party tools, and integrating CrewAI and Langchain tools with ADK AI Agents.

Why We Love This Course

1. It is free. You can learn Google ADK agent development without any financial commitment.
2. It is designed for beginners. Only very basic Python is required to get started.
3. It includes deployment. The course shows you how to deploy your agent to Google Cloud so it can run as a real application.
4. It covers tool integration. You learn how to use various tools including CrewAI and Langchain with ADK.

If you are anyone who wants to become an AI agent developer or is in the world of AI, this free course provides a quick, hands on introduction to Google Agent Development Kit.

• Anyone who wants to become an AI agent developer.
• Everyone who is in the world of AI, from developers to cloud engineers to AI enthusiasts.
• Those who want a quick, hands on introduction to Google ADK.

• Very basic Python knowledge is required.
• An eagerness to become an AI agents champion is essential.
• A willingness to work with Google Cloud or local environment is required.

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