MACHINE LEARNING · 4 WEEKS · 114 LESSONS
Rust for Machine Learning Operations (LLMOps)
Learn to implement and deploy machine learning systems using Rust and modern MLOps practices. Master the integration of Rust with popular ML frameworks and cloud services for production-ready AI applications.
Master the implementation of Machine Learning Operations using Rust through a comprehensive exploration of modern MLOps practices. This course covers essential DevOps principles for ML systems, advanced integration with Hugging Face's Candle framework, deployment of Large Language Models (LLMs), and practical applications using key technologies like ONNX, PyTorch bindings, and AWS services. Learn to build efficient, scalable, and secure ML pipelines while leveraging Rust's performance and safety features for production-grade ML systems.
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 implementation of Machine Learning Operations using Rust through a comprehensive exploration of modern MLOps practices. This course covers essential DevOps principles for ML systems, advanced integration with Hugging Face's Candle framework, deployment of Large Language Models (LLMs), and practical applications using key technologies like ONNX, PyTorch bindings, and AWS services. Learn to build efficient, scalable, and secure ML pipelines while leveraging Rust's performance and safety features for production-grade ML systems.
Master core DevOps principles and practices for machine learning operations using Rust
Implement and deploy ML systems using Hugging Face Candle and other Rust-based frameworks
Develop efficient ML pipelines using Rust with PyTorch, ONNX, and cloud services
Build and manage secure, scalable ML infrastructure with AWS integration
03 — Syllabus
4 weeks, 114 lessons total.
- Instructor intro
- Source code resources
- A function the essence of programming
- Operationalize Microservices
- Continuous integration for Microservices
- What is Makefile and how do you use it
- Candle a Minimalist ML framework for RUST
- Using Github Codespaces for GPU Inference with RUST candle
- Vscode remote SSH development AWS Accelerated compute
- Building hello world candle
- Exploring Starcoder a state of the art LLM
- Using Whisper with candle to Transcribe
- Introduction to RUST BERT
- Installation and setup
- Basic syntax and model loading
- Building a Sentiment analysis CLI
- Getting started RUST BERT
- External lab translate a spanish song to english
- Extending google BARD
- Exploring google Colab with BARD
- Exploring Colab AI
- Exploring gen APP builder
- Bard FAQ
- External lab build a plot with Colab AI
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.