Validate your GenAI skills with 200 real-world practice questions on LLMs, LangChain, RAG, and Vector Databases
Sub Category
- Other IT & Software
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Objectives
- Implement Retrieval-Augmented Generation (RAG) architectures using LangChain, LlamaIndex, and Vector Databases (Pinecone, ChromaDB).
- Master advanced Prompt Engineering techniques, including Few-Shot Prompting, Chain-of-Thought (CoT), and ReAct agentic workflows.
- Optimize Large Language Models (LLMs) by fine-tuning temperature, top-p, and context window limits for specific business use cases.
- Design secure and hallucination-free enterprise AI solutions, including defense mechanisms against Prompt Injections.
Pre Requisites
- A solid foundation in Python programming and a basic understanding of machine learning models and APIs. This course focuses on testing the implementation of modern AI concepts, not basic coding syntax.
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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