AI Agent Fundamentals

Обновлено 03.2026

Discover how AI agents can change how you work and deliver value for your organization!

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AI Agent Fundamentals

Large Language Models (LLMs) and Generative AI have unlocked many valuable use cases, such as content creation and document summarization. For more complex applications like workflow automation, coding assistance, and advanced customer support chatbots, we need a way for LLMs to make decisions and trigger real-world actions: enter AI agents!In this skill track, you'll learn what AI agents are and what they can (and can't!) be used for through real-world examples.You'll discover practical frameworks like the Thought-Action-Observation (TAO) loop and ReAct prompting to better conceptualize how AI agents make decisions.You'll find out what makes an AI agent successful in production, and why so many fail to get out of development. You'll learn the latest practices for building scalable agentic systems, like emerging multi-agent design patterns, the Model Context Protocol (MCP), and the Agent-to-Agent (A2A) protocol.Discover how AI agents can begin changing the way you work today!

Предварительные требования

Для участия в этом курсе никаких предварительных требований нет.

Course
AI Native
1
Introduction to AI for Work
Explore what AI is and how to use it responsibly for smarter, more productive work!
Course
2
Introduction to AI Agents
Learn the fundamentals of AI agents, their components, and real-world use—no coding required.
Course
3
Building Scalable Agentic Systems
Discover what it takes to scale AI agents, with a little help from frameworks like MCP and A2A.
Resource
Бонус
AI Agents Cheat Sheet
Learn the basics of AI agents with this beginner-friendly cheat sheet, and explore resources to help you get started.