Building with AI

This is the on-ramp to building with AI for complete beginners. In 2026, "AI" appears on nearly every job description — but most courses either drown beginners in transformer math they'll never use, or stop at "type a prompt into ChatGPT." This course does neither. Instead, we teach you to build and ship real AI applications using large language models, the way working AI developers actually do it. You'll learn just-enough Python to be dangerous, how to call LLM APIs (Anthropic, OpenAI), how to write prompts that work reliably, and how to build your first RAG application — an AI assistant that can answer questions from your own documents. This course is deliberately paced. We cover fewer concepts than a typical bootcamp, but we give each one the time it deserves so it actually sticks. You will not be left behind. Two ideas that separate real AI builders from beginners — knowing whether your AI is actually good (evaluation) and knowing what it costs to run (cost awareness) — are introduced gently from the start, so you build good habits early. By the end, you'll have a deployed, portfolio-ready AI application with a working interface, a basic quality check, and a cost estimate. You'll be ready for entry-level AI roles, and prepared to continue into AI Engineering when you're ready. Our Human Intelligence approach ensures you understand the "why" behind what you build — the judgment that AI itself cannot replace.