Building AI Agents & Workflows
Learn how to design, build, and deploy AI agents that autonomously research, plan, and execute multi-step tasks. From single prompts to orchestrated agent systems.
What You'll Learn
- Explain what AI agents are and how they differ from simple prompt-response interactions
- Design multi-step agent workflows with clear goals, tools, and decision points
- Build AI agents that use tools, search the web, and process documents autonomously
- Implement guardrails, error handling, and human-in-the-loop checkpoints
- Evaluate agent architectures for different use cases and complexity levels
- Create a production-ready agent system for a real-world business task
Course Syllabus
Prerequisites
- Comfortable using AI assistants (ChatGPT, Claude, etc.)
- Completed AI Fundamentals course or equivalent knowledge
You’ve used AI to answer questions and generate content. That’s powerful — but it’s like driving in first gear.
AI agents shift into a higher gear. Instead of answering one question at a time, an agent takes a goal (“research competitors, analyze their pricing, and draft a strategy memo”), breaks it into steps, uses tools to gather information, evaluates its own progress, and delivers a complete result — with minimal hand-holding from you.
This is the biggest shift in how we work with AI since ChatGPT launched. And it’s happening right now: companies are deploying agents that handle customer support tickets, research market opportunities, automate code reviews, manage data pipelines, and orchestrate entire business workflows.
This course teaches you to design, build, and deploy AI agents — from understanding the core concepts to launching a production system. Whether you’re a business user who wants smarter automation or a developer building agent-powered products, you’ll learn the patterns that separate toy demos from reliable systems.
Related Skills
Frequently Asked Questions
What's the difference between an AI agent and a regular AI prompt?
A regular prompt gets one response. An AI agent takes a goal, breaks it into steps, uses tools (search, code, APIs), evaluates results, and iterates until the goal is achieved — often without human intervention between steps.
Do I need to know how to code?
Not for most of this course. You'll learn agent design patterns and how to build agents using AI platforms and no-code tools. Lesson 7 covers coding-optional approaches alongside developer tools for those who want to go deeper.
Which AI platforms support agents?
Claude (with tool use and computer use), ChatGPT (with GPTs and Actions), and many open-source frameworks. The principles you learn apply to any platform.
Is this course for business users or developers?
Both. Business users learn to design and deploy agents using existing platforms. Developers get architecture patterns and implementation strategies. Each lesson marks which content applies to each audience.