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Learn to build production-ready AI agents using Google's Agent Development Kit (ADK) through this comprehensive tutorial that progresses from basic concepts to advanced multi-agent orchestration and deployment. Master the fundamentals of agentic systems and environmental setup before diving into hands-on labs that demonstrate real-world implementation. Explore how to create your first AI agent with memory and context capabilities, then enhance it by adding tools and capabilities including search functionality, code execution, and custom API integrations. Discover multi-agent orchestration patterns including sequential, parallel, and hierarchical approaches while building a complete Travel Planner system with specialized agents working collaboratively. Gain practical experience through four progressive labs covering ADK introduction and setup, tool implementation, specialist agent development, and production-ready system deployment. Learn evaluation methodologies, safety considerations, and best practices for deploying AI systems in production environments. Understand how to move beyond simple chatbots to create intelligent, tool-enabled AI systems suitable for enterprise applications. The tutorial includes detailed timestamps for easy navigation and requires Python 3.9+, a Google Cloud Project, and basic AI/ML knowledge as prerequisites.
Syllabus
- Introduction to Google ADK & Agentic Systems
- Fundamentals of Agentic Concepts
- Environmental Setup
- Lab 1: Introduction to ADK, Setup and Memory
- Tools and Memory
- Lab 2: Implementing Tools
- Multi-Agent Systems & Orchestration
- Lab 3: Building Specialist Agents
- Evaluation, Safety & Production Deployment
- Lab 4: Production-Ready Systems
Taught by
KodeKloud