Complete course on Generative AI: Prompting Engineering, Running LLMs locally (Ollama), Building AI apps using LangChain
Sub Category
- Data Science
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Objectives
- Design and engineer effective prompts using proven frameworks like Chain-of-Thought, Step-Back, and Role prompting.
- Tune and control LLM behavior by adjusting hyperparameters such as temperature, top-p, max tokens, and penalties.
- Run and customize Large Language Models locally using Ollama and integrate them with Python applications.
- Build complete Generative AI workflows using LangChain, including prompt templates, chains, memory, and dynamic routing.
- Develop Retrieval-Augmented Generation (RAG) systems that combine LLMs with vector databases for grounded, factual answers.
- Design user-friendly AI interfaces using Streamlit and explore On-Device AI deployment with Qualcomm AI Hub.
Pre Requisites
- No prior AI or coding experience required—just a curious mindset, basic computer skills, and a PC with internet access.
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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Coupon Code(s)