Building AI Agents

Build AI That Works For You While You Sleep

The next leap beyond chatting with AI is putting AI to work: agents that complete multi-step tasks, connect tools together, and run workflows automatically. This course teaches you to design and build these systems yourself, using accessible platforms rather than deep programming.

Through practical, project-based lessons you will learn to:

• Understand what an AI agent is and how it differs from a simple chatbot
• Break a real task into steps an agent can execute reliably
• Build automation workflows visually with tools like n8n and modern agent builders
• Connect AI models to other apps, files, and data sources
• Design multi-agent workflows where steps hand off to each other
• Test, debug, and make your agents dependable

The course is grounded in real use cases relevant to language professionals and content creators, such as automated terminology lookup, multi-step translation and review pipelines, content repurposing, and research assistants. You will finish with working agents you built yourself, not just theory.

We keep the technical barrier deliberately low, focusing on visual tools and clear design thinking so that motivated non-programmers can succeed. At the same time, the concepts you learn, task decomposition, orchestration, and reliability, are exactly what serious agent engineering is built on.

This is one of the highest-leverage skills you can learn right now: the ability to turn a repetitive process into an automated system. Start building AI that does real work for you.