learn-generative-ai

Why we included this project

Engineers who want to build production-grade generative AI applications rather than just call an API will get a lot from this one. It is a structured, hands-on curriculum that follows a full project stack: OpenAI and Gemini APIs, LangChain orchestration, Pinecone vector search, Streamlit frontends, and containerized or serverless deployment on Azure and Google Cloud, with notebooks and code arranged in a sensible learning order. Each module pairs a concept with working examples and cloud setup guidance, which makes it a practical starting point for teams onboarding developers into applied AI work. Instructors designing their own applied AI coursework can also use it as a reference, since the material is organized around real engineering decisions like choosing an LLM, managing conversation state, and integrating retrieval. What you get here is a curated path through a lot of tooling, not a single deployable product.