Udemy – Generative AI Real world Projects in Python 2025-12

Updated August 10, 2026 2.7 GB

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Description

Generative AI Real world Projects in Python is a course on how to build real-world generative AI applications using Python and modern AI tools, published by Udemy Online Academy. You will learn how to work with large language models (LLM), text generation, image synthesis, and multi-faceted AI by integrating them into real-world projects such as intelligent chatbots, content generators, automated assistants, or creative tools. The course covers connecting Python applications to AI APIs or open source models, managing data preprocessing, rapid engineering, and context management to get accurate and relevant outputs.

Build functional LLM applications using LangChain + RAG, work with vector databases, and integrate ChatGPT, Gemini, and LLaMA into production-style workflows. By the end of this course, you will have a strong portfolio of productive AI projects, real-world experience working with LLM APIs, RAG systems, and vector databases, and a clear understanding of how to build and deploy modern AI-based products in real-world environments.

What you will learn in Generative AI Real world Projects in Python:

Build real-world generative AI projects using LLMs (ChatGPT, Gemini, LLaMA) by completing hands-on GenAI projects used in industry.
Understand the full GenAI pipeline – rapid design, embeddings, vector databases, RAG (Retrieval-Augmented Generation), inference, and evaluation.
Develop GenAI applications 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 invocation, and production-ready inference.
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