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Google

Agent Fundamentals

Google via Google Skills

Overview

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AI Agents represent a major shift beyond traditional large language models (LLMs): instead of simply generating text-based solutions, they can also act autonomously to execute them. This course introduces the fundamentals of AI Agents, how they differ from LLM APIs, and where they add value in the real world. Based on Google’s agents whitepaper, it provides the theoretical foundation needed before writing your first lines of agent code—ideal for developers, architects, and technical decision-makers who want to understand AI systems through the lens of autonomous, goal-directed behavior (and not just text generation). Join the community forum for questions and discussions.

Syllabus

  • Agent Abstraction
    • The problem: The evolution that led us here
    • The solution: Agent abstraction
    • Quiz
  • How agents work
    • The problem: Building intelligence without structure
    • The solution: Three components working together
    • Quiz
  • Agents in action
    • The problem: The right tool for the wrong job
    • The solution: Clear decision criteria
    • Quiz
  • Reading List
    • Reading list
  • Your Next Steps
    • Claim credential

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