Build, optimize, and deploy Llama 4 with prompt engineering techniques using Google Colab and Hugging Face
Sub Category
- Other IT & Software
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Objectives
- How Llama 4 works under the hood: architecture, tokenization, and attention
- How to set up a working Llama 4 environment using Google Colab and Hugging Face
- How to write powerful prompts—from zero-shot to few-shot examples
- Techniques to control tone, style, and response length in AI outputs
- How to troubleshoot prompt errors, repetition, and hallucinations
- How to compare Llama 4 with GPT-4, Claude, and other leading LLMs
- How to stay up to date with evolving LLM tools, communities, and research sources
Pre Requisites
- For this course you need Basic familiarity with Python (no advanced coding needed)
- A free Google account to use Google Colab
- No prior experience with Hugging Face or Llama 4 required—everything is taught step-by-step
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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