Introduction to AI Agents

• Understand what AI agents are and how they differ from traditional automation tools, chatbots, and generative AI systems.
• Learn the key components of agentic systems—such as memory, orchestration, and tool use—and how they enable adaptive, intelligent behavior.
• Explore real-world applications of AI agents in business and everyday workflows, including customer support, coding assistance, and task automation.
• Gain practical frameworks like the Thought-Action-Observation (TAO) loop and ReAct prompting to better conceptualize how AI agents make decisions.
• Identify best practices and ethical considerations for designing and using AI agents responsibly in the workplace.

Foundations of AI Agents

Get 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.

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.

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.