Building Production-Ready Generative AI Agents - From Components to Architecture
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Learn about the fundamentals of Generative AI Agents in this 33-minute technical session where Patrick Marlow breaks down the essential components and architectural considerations for building production-ready AI agents. Dive into key concepts including Models, Tools, and Orchestration Frameworks while understanding the strategic decisions between managed and custom implementations. Explore various agent architectures, from single-agent setups to complex multi-agent systems, and see practical applications through a live demonstration. Master the core elements of agent development including extensions, functions, and data stores, with insights into how these components work together in real-world scenarios. Gain practical knowledge about implementing AI agents on platforms like Google Cloud's Vertex Agents through this comprehensive exploration of LLM-powered automation and interaction systems.
Syllabus
Introduction
Generative AI Agents
Components of an Agent
Extensions
Functions
Data Stores
Sample Architecture
MultiAgent Architectures
Demo
Conclusion
Taught by
Google Cloud Events