MACHINE LEARNING · 4 WEEKS · 75 LESSONS
Open Source LLMOps
Learn to deploy and manage large language models using open source tools like Hugging Face, Llamafile, and Whisper.cpp. Build production-ready LLMOps pipelines with hands-on experience in model optimization, dataset augmentation, and cross-platform deployment.
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.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
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.
Navigate the open source ecosystem and deploy models using Hugging Face platform, Transformers library, and Azure integration
Implement local LLM solutions using Llamafile, Whisper.cpp, and Rust-based tools for cross-platform deployment and optimization
Perform advanced dataset augmentation and synthetic data generation techniques using large language models for improved training outcomes
Build production-ready applications including browser-based implementations with Transformers.js, ONNX model exports, and portable CLI tools
03 — Syllabus
4 weeks, 75 lessons total.
- Meet your instructor NOAH gift
- Meet your instructor Alfredo DEZA
- Connect with your instructors
- Course structure
- Introduction
- Key terms
- Key terms
- What is Llamafile
- Cosmopolitan
- Building portable Binaries with Cosmopolitan
- External lab Cosmopolitan
- Lesson reflection
- Introduction
- Key terms
- What is Transformers JS
- What is ONNX
- Exporting models to ONNX
- Using Transformers JS in the browser
- Lab chat with local LLMS
- Lab retrieval Augmented generation with local LLMS
- Lab create a synthetic Dataset
- Lab GPU Flavored Mlops with Github Codespaces
- Lab RUST Hugging face candle Demos
- Course reflection
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.