Master the complete lifecycle of large language models using open source tools and platforms in this comprehensive LLMOps course. Learn to work with Hugging Face ecosystem, implement local LLMs with Llamafile and Whisper.cpp, perform dataset augmentation, and build real-world solutions using Rust-based tools. The course covers everything from model deployment and optimization to creating portable CLI applications, browser-based implementations with Transformers.js and ONNX, and advanced projects including retrieval-augmented generation and synthetic dataset creation using modern open source technologies.
Our university-grade curriculum has helped professionals worldwide transform their careers in AI, Data Science, Cloud Computing, and programming..
Same curriculum taught at Duke, Northwestern, and UC Davis
Practical, hands-on projects that mirror real-world challenges
Industry-recognized certification upon completion
The curated content for the bootcamp is based on the same material we use at top universities like Duke University, Northwestern, and UC Davis.
The material and content goes beyond the basic theory and is meant for you to practice, enhancing your learning.
All exercises, readings, examples, and video content is of extremely high quality and you will get access to all of it in this bootcamp.
We've specialized in teaching based on our vast experience in tech. Be part of half a million learners who have used our courses!
This course is packed with useful content, curated from our experience working with top-tier universities and learners all around the world. Get certified at the end of this course with a shareable digital badge.
We are ready to deliver this and other training to your group. We can usually accommodate different requirements and are flexible with the number of seats. Reach out to us at contact@paiml.com