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Introduction to AI Agents
Start course For Free1 hr 30 min
1,850 XP

Loved by learners at thousands of companies
Course Description
Unlock the power of AI agents and transform how you work with agentic systems. This beginner-friendly course is designed for anyone eager to understand the core concepts behind agentic AI systems, without writing a single line of code.You'll learn how AI agents differ from traditional automation tools and chatbots, explore their key components like memory, tool use, and orchestration, and discover when and how to implement agent-based solutions for real-world problems.
From customer support agents to coding assistants, this course uses relatable examples to demystify what makes AI systems agentic, how they reason, and how to use and build AI agents responsibly.Enroll now, and take your first step toward engaging with the next frontier of AI.
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Get your team access to the full DataCamp platform, including all the features.- 1
Foundations of AI Agents
FreeGet introduced to what AI agents are, how they differ from traditional automation and AI systems, and why they matter. You'll explore real-world examples—like customer support bots and travel agents—to understand key components such as memory, tools, and orchestration.
- 2
Agentic Design Patterns & Architectures
Dive deeper into how AI agents think and act through frameworks like the Thought-Action-Observation (TAO) loop and ReAct prompting. You'll explore how agents interact with tools, environments, and each other, building toward more advanced multi-agent systems.
The Thought-Action-Observation Cycle50 xpCracking the TAO Code50 xpNo Reservations: TAO in Action100 xpDo Agents Think of Electric Sheep? The ReAct Framework50 xpCan you ReAct?50 xpWhat's in the (Tool) Box?50 xpOrganizing the Toolbox100 xpTool Mastery50 xpFrom One to Many: Multi-Agent Systems50 xpOne vs Many100 xpCan I Speak to Your Manager?100 xp - 3
Building and Using AI Agents Responsibly
Learn how to use and design AI agents with intention and care. This chapter covers essential guardrails, practical best practices, and how to evaluate when agentic solutions are the right fit—empowering you to apply agentic systems ethically and effectively in real-world contexts.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.
VP of AI Curriculum, DataCamp
Adel is a Data Science educator, speaker, and Evangelist at DataCamp, where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.
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