Generative AI is reshaping every industry — and building with it starts here. This course gives you the practical foundation to engineer AI-powered applications immediately, combining a clear understanding of how large language models work with hands-on OpenAI API development and real project work.

You'll begin by setting up the OpenAI platform: account configuration, secure API key generation, model selection, and library navigation. You'll then explore the mechanics of modern generative AI — how transformers and attention mechanisms power LLMs, how tokenization shapes model behavior, and how prompt engineering techniques including zero-shot, few-shot, and grounding strategies improve output accuracy. You'll also examine bias, fairness, and reinforcement learning, giving you the perspective needed to build responsibly. In the final module, you'll build three working applications: a recipe generator, an article translator, and an AI research assistant using the Chat Completions API — applying fine-tuning, embeddings, and text-to-speech through live project work. Designed for software engineers, data scientists, IT professionals, and career changers entering the AI field. Basic programming knowledge is recommended. No prior AI experience is required.