Learn Generative AI by building GenAI projects using Python, RAG, vector databases, ChatGPT, Gemini, and LLaMA
Sub Category
- Data Science
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Objectives
- Build real-world Generative AI applications using LLMs (ChatGPT, Gemini, LLaMA) by completing hands-on GenAI projects used in industry.
- Understand the complete GenAI pipeline — prompt design, embeddings, vector databases, RAG (Retrieval-Augmented Generation), inference, and evaluation.
- Develop GenAI apps using Python — work with text, images, APIs, and tools like LangChain, FAISS, and OpenAI/Gemini SDKs.
- build end-to-end pipelines including data ingestion, preprocessing, RAG, tool calling, and production-ready inference.
Pre Requisites
- Basics of Python programming is recommended !
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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