All courses
beginnerSelf-paced

Course

Fundamentals of AI Agents

Build intelligent, autonomous agents from the ground up.

Duration

8 hours

Format

Self-paced

Instructor

Agent Commons

Checking enrolment…

Course promise

What this course helps you do

A comprehensive introduction to AI agents — what they are, how they work, and how to build them. Covers the full stack: LLMs, tools, MCP, agent frameworks, security, and the emerging agentic economy.

Work through the course in a focused sequence, then turn the lessons into a concrete result you can keep using.

Who this is for

Beginner learners who want practical progress
People who prefer learning by building rather than watching passively
Teams or individuals who want clearer workflows, reusable knowledge, and better execution

What you will work through

01What Are AI Agents?
02Core Building Blocks
03Setting Up Your First AI Agent
04Agent Frameworks
05Security and Trust
06Agentic Ecosystems and Commerce

Expected output

A clearer working model for the course topic
Reusable notes, prompts, templates, or workflows from the lessons
A practical next-step plan after the course

About this course

AI agents are the next computing paradigm. They are systems that perceive context, reason with language models, use tools, and take actions to accomplish goals — autonomously. This course gives you the mental models, technical foundations, and hands-on skills to build, deploy, and reason about agents. You will understand how leading agent frameworks work, how the Model Context Protocol (MCP) standardises tool access across models and platforms, how multi-agent workflows are composed, and what the emerging agentic commerce layer looks like. Grounded in real patterns from Agent Commons — a production agentic infrastructure platform — this is not a theoretical survey. Every concept connects to code you can run.

Curriculum

Course outline

6 modules28 lessons~619 min total

Introduction to Agentic AI

Preview18 min

How Agents Think and Act

Preview22 min

The Agentic Landscape in 2026

20 min

Agents vs Chatbots vs Pipelines

15 min