Intro to AI Agents & Agentic AI (2026)

About this course

This course contain the use of artificial intelligence.

What if AI could do more than simply answer your questions?

AI agents are changing the way we think about artificial intelligence. Instead of using AI only to generate a response, an AI agent can be designed to understand a goal, make decisions, use tools, interact with other systems, and complete a sequence of tasks.

This course is your introduction to that world.

Rather than jumping straight into complicated frameworks or no-code platforms, we’ll first build a clear understanding of what AI agents actually are, how they work, and why they are different from traditional AI applications.

You’ll explore the building blocks that make an AI agent work, including goals, instructions, reasoning, tools, memory, context, and interaction with external systems. You’ll also learn about different agent architectures and understand when different approaches are appropriate.

But this course isn't only about technology.

You’ll also learn how to think about AI agents from a business and practical perspective. We’ll explore where agents can provide real value, which tasks are suitable for agentic automation, how organizations can identify useful opportunities, and what factors should be considered before introducing agents into a workflow.

Throughout the course, you’ll explore:

• What AI agents are and how they differ from traditional AI assistants
• How agentic AI systems operate and make decisions
• The key components that make up an AI agent
• Different types and architectures of AI agents
• How agents use tools and interact with external systems
• The role of memory and context in agentic systems
• How multiple agents can work together
• Common agentic workflows and real-world use cases
• How businesses can identify suitable tasks for AI agen

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