Build AI Applications with OpenAI APIs and ChatGPT Models

About this course

Build AI-powered features into your apps using OpenAI APIs and ChatGPT models; without guessing, copy-pasting random prompts, or fighting vague examples.

This is a hands-on, demo-first course for developers who want to go beyond the ChatGPT website and actually ship real AI applications using Python and JavaScript.

You’ll follow along as we build small, focused projects that mirror real-world use cases: prompt engineering, retrieval-augmented generation (RAG), fine-tuning, agents and tools, chat UIs, testing, monitoring, cost control, and more. Every demo comes with a downloadable ZIP (no GitHub required) so you can run the code locally and adapt it to your own stack.

What you’ll do in this course

By the end, you’ll be able to:

• Call OpenAI ChatGPT models from your own backend using Python (FastAPI) and Node/Express
• Design effective prompts for explanations, summaries, code generation, and validation
• Build RAG pipelines with local documents, embeddings, and FAISS for smarter question-answering
• Use output schemas and parsers to get reliable JSON and structured data back from the model
• Set up prompt pipelines and automated tests so you can safely improve prompts over time
• Prepare data and run a small fine-tune to align a model with your product or domain
• Build web & mobile chat UIs with streaming, markdown/code rendering, and conversation state

Orchestrate agents and tools (like a code-exec tool with sandboxed tests and safety checks)Add testing, monitoring, logging, and evaluation to your LLM endpoints

Control costs, scaling, and rate limits using batching, autoscaling simulations, and t

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