Build intelligent apps with LLMs using Python, LangChain, and prompt engineering—hands-on and practical.
Sub Category
- Other IT & Software
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Objectives
- Build intelligent applications using large language models (LLMs) like GPT and Mistral.
- Design effective prompts to guide LLM behavior using advanced prompt engineering techniques.
- Compare and evaluate popular LLMs for different application scenarios.
- Implement retrieval-augmented generation (RAG) with embeddings and vector databases.
- Use LangChain to create dynamic, modular AI-powered workflows.
- Create conversational agents and assistants capable of natural, context-aware dialogue.
- Embed custom data into LLM pipelines using semantic chunking and indexing.
- Apply few-shot learning strategies to improve response quality in LLM outputs.
- Integrate external tools and APIs with LLM agents for enhanced functionality.
- Deploy Python-based AI applications with real-world usability and scalability.
Pre Requisites
- No requirements, you'll learn everything here! Including Python
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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