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Rust for Machine Learning Operations (LLMOps)

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.

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Trusted by 1M+ Learners

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

4 weeks, 114 lessons total which includes hands-on labs, quizzes, and a certification.

Learn from top university instructors

The curated content for the bootcamp is based on the same material we use at top universities like Duke University, Northwestern, and UC Davis.

Practical and hands on

The material and content goes beyond the basic theory and is meant for you to practice, enhancing your learning.

Get access to high-quality, curated content

All exercises, readings, examples, and video content is of extremely high quality and you will get access to all of it in this bootcamp.

Join half a million learners

We've specialized in teaching based on our vast experience in tech. Be part of half a million learners who have used our courses!

Syllabus

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.

Week 1

  • Instructor intro
  • A function the essence of programming
  • Operationalize Microservices
  • Responding to Compromised resources and Workloads
  • Audit network security
  • Rust secure by design
  • Explain how to secure your account with 2FA
  • Repository permission levels explained
  • Repository privacy settings and options
  • Quiz

Week 2

  • Candle a Minimalist ML framework for RUST
  • Vscode remote SSH development AWS Accelerated compute
  • Building hello world candle
  • Advantages of RUST for LLMS
  • Rust CLI Inference
  • Rust chat Inference
  • Continuous build of Binaries for Llmops
  • Invoking RUST candle on AWS G5 part one
  • Invoking Bigcode on AWS G5 part two
  • Quiz

Week 3

  • Basic syntax and model loading
  • Building a Sentiment analysis CLI
  • Pytorch Pretrained
  • External lab run a Pretrained model
  • Onnx concepts
  • Onnx with python
  • Quiz

Week 4

  • Extending google BARD
  • Exploring Colab AI
  • Exploring gen APP builder
  • Responsible AI with AWS Bedrock
  • Summarizing text with Claude
  • Using the AWS Bedrock API
  • Live coding AWS Codewhisperer part one
  • Live coding AWS Codewhisperer part three
  • Using AWS Codewhisperer CLI
  • Quiz
  • Quiz

Custom training for your company

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

  • Bulk pricing available
  • Customizable content
  • Ready to start on your schedule