Who is this course for?

This course is designed for beginners — no prior AI experience needed. Anyone curious about Intro to AI Agents: Build an Army of Digital Workers with AI can get started right away.

Is the content up to date for 2025/2026?

Yes. The curriculum has been updated to reflect the latest tools, APIs, and best practices as of 2025-2026.

What's the difference between an AI agent and a chatbot?

AI agents are autonomous and can use tools, make decisions, and complete multi-step tasks without human intervention. Chatbots simply respond to messages. This course teaches you to build the former.

Do I need machine learning knowledge?

No. The course focuses on using existing LLMs and agent frameworks. Basic Python and API knowledge is sufficient.

Can I build agents for my business?

Absolutely. The course teaches production-ready patterns for customer support, research, content creation, sales, and more.

How long does it take to complete?

The video content is 7 hours across 40 lectures. With hands-on practice building your own agents, most students complete in 2-3 weeks.

Will I get code examples?

Yes, all code repositories are included. You'll get complete working agent implementations for each pattern covered.

Beginner · Video course★ 4.5 · 17,846 students

Intro to AI Agents: Build an Army of Digital Workers with AI

Build and deploy autonomous AI agents that automate tasks and scale your digital workforce

Video-first training aligned with our skills registry and MCP directory.

Enroll on Udemy All courses

40 lectures7 hours on-demand videoLifetime access

What you'll learn

Build autonomous AI agents that work 24/7
Implement tool use and external API integrations
Design multi-agent systems for complex workflows
Deploy production-ready agents with monitoring
Scale digital worker fleets across your organization
Understand agent architecture patterns and best practices

Who it's for

Developers & Engineers

Software developers building AI agents, automation tools, and autonomous systems

Product Teams

Product managers and technical leads shipping AI-powered features and agent workflows

Automation Specialists

Operations and DevOps engineers automating business processes with AI agents

Course curriculum

40 lectures · 7 hours total

1. What are AI agents and how they work10 min
2. Agent vs chatbot: key differences8 min
3. Agent architecture patterns (ReAct, Plan-and-Execute)12 min
4. Real-world agent use cases10 min

What you'll be able to build after this course

By the end of the program, you'll be able to:

Build autonomous AI agents that work 24/7
Implement tool use and external API integrations
Design multi-agent systems for complex workflows
Deploy production-ready agents with monitoring
Scale digital worker fleets across your organization

Popular projects students build:

→Customer support automation agents
→Research and data gathering agents
→Content creation and moderation agents
→Sales and lead qualification agents
→Multi-agent coordination systems

Hands-on projects

Real-world projects you'll build during the course