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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 public skills registry and MCP directory—same program as learn skills & MCP in the header and footer.
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
Building your first autonomous agent
Adding tool use and API integrations
Implementing agent memory and context
Multi-agent coordination system
Production deployment and monitoring
Tools & Technologies Covered
- LangChain agent framework
- AutoGPT and agent architectures
- Tool use and function calling
- Agent memory systems
- Multi-agent orchestration
- Agent monitoring and logging
Requirements
- Basic Python programming knowledge
- Familiarity with APIs and web requests
- Understanding of LLMs (ChatGPT, Claude, etc.)
- No prior agent or automation experience needed
Course format
- Video-first lessons
- Hands-on agent building demos
- Real production workflows
- Code repositories included
- Lifetime access on Udemy
- Learn at your own pace
What students are saying
“Best intro to AI agents. Went from zero to deploying my first automation in a weekend.”
“The multi-agent coordination section was mind-blowing. Now I can build complex systems.”
“Practical and production-focused. No fluff, just working agent code.”
Overview
Learn to Build, Deploy and Manage AI Agents: Practical Strategies for Automating Tasks, Streamlining Workflows, and Scaling with Digital AI Workers
Deep dives (free): What are agent skills? Complete guide · What is MCP? Model Context Protocol guide.
- Build autonomous AI agents step by step
- Tool use, memory, and multi-agent coordination
- Deploy and monitor production-ready agents
Read next (free)
- What are agent skills? Complete guide — Concepts behind the registry and SKILL.md.
- What is MCP? Model Context Protocol guide — Tools, transports, and how MCP pairs with skills.
FAQ
- 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.
- What will I learn in this course?
- Learn to Build, Deploy and Manage AI Agents: Practical Strategies for Automating Tasks, Streamlining Workflows, and Scaling with Digital AI Workers
- 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.
Related courses & skills
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