Free online courseGenerative AI

Course Description

Generative AI is reshaping how products are built, how teams automate work, and how developers deliver experiences that feel truly conversational. This free online course helps you move from curiosity to confident, hands-on capability by showing how modern AI apps are designed, tested, and improved using a JavaScript-friendly workflow. If you want to prototype quickly, integrate models into real software, and understand what makes results accurate and reliable, this course is a practical starting point.

You will learn how large language models work at a high level and why they are powerful in everyday applications such as assistants, content generation, summarization, classification, and coding support. You will also develop strong prompt engineering habits so you can guide a model toward clearer, more consistent outputs and reduce ambiguity. As you progress, the focus shifts from simple prompts to building more dependable systems, where evaluating answers and improving response quality becomes part of the development process rather than an afterthought.

A key theme is grounding AI in trustworthy information. You will see how Retrieval-Augmented Generation can help a model respond with context drawn from your own sources, which is essential when you need answers tied to internal docs, knowledge bases, or domain-specific data. From there, you will explore how developer tooling can accelerate your builds, including ways to orchestrate calls, manage prompts, and connect components using JavaScript-first libraries. You will also discover options for running models locally for privacy, experimentation, and faster iteration, as well as lightweight ways to try models without expensive hardware.

Finally, the course connects these techniques to cloud-based workflows by introducing modern platforms and data stores that support AI application development. You will gain a clearer view of how to structure an end-to-end generative AI solution, how data can be prepared for vector search and chat over your content, and why streaming responses improves user experience in real interfaces. By the end, you will be equipped to plan, prototype, and refine generative AI features that are grounded, responsive, and ready to integrate into real products.