Google: Agent Fundamentals

Overview

Learn AI agent fundamentals — how they differ from LLMs, when to use them, and explore agent architecture, orchestration, and tools. AI agents represent a major shift beyond traditional large language models.

This course introduces the fundamentals of AI agents, how they differ from LLM APIs, and where they add value in the real world. Learn about agent architecture, orchestration, tools, and memory.

Syllabus

• Agent Abstraction
This module introduces the fundamentals of AI agents and why they represent a paradigm shift away from simple LLMs. You’ll learn the difference between language models that can only discuss solutions to agents that can autonomously execute them.
• How agents work
This module reveals the internal architecture that powers every AI agent. You’ll explore how three fundamental components—the model, tools, and orchestration—work together to transform static language models into autonomous systems capable of continuous, goal-directed action.
• Agents in action
This module equips you with a practical decision-making framework for determining when agents are the right solution. You'll learn to identify scenarios where agents provide exceptional value, recognize anti-patterns where simpler solutions might be better, and make informed architectural decisions for your specific use case.
• Reading List
You've completed the foundational course on AI agents in just 60 minutes and now possess a clear understanding of what agents are, how they work, and when to use them. This theoretical foundation will serve as your north star as you progress to building real agent systems in upcoming courses.

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Taught by

Google Cloud

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Subjects

Artificial Intelligence