Duke University
Rust for Large Language Model Operations (LLMOps)
Duke University

Rust for Large Language Model Operations (LLMOps)

This course is part of Rust Programming Specialization

Taught in English

Some content may not be translated

Noah Gift
Alfredo Deza

Instructors: Noah Gift

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Mastery in deploying Rust for intricate LLMOps workflows.

Details to know

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Recently updated!

December 2023

Assessments

5 quizzes

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Rust Programming Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

Do you aspire to be a Rust developer at the forefront of the AI revolution? This groundbreaking 4-week course is designed specifically to train you in Large Language Model Operations (LLMOps) using Rust. This course doesn't just scratch the surface; it takes a deep dive into how you can integrate Rust with sophisticated LLM frameworks like HuggingFace Transformers. We'll also explore how to effectively deploy these large models on cloud infrastructures such as AWS, all while incorporating DevOps methodologies tailored for LLMOps.

What's included

23 videos15 readings1 quiz2 ungraded labs

This week, you will delve into the powerful combination of Rust with Candle, a minimalist ML framework, and explore how they can be used with Hugging Face's popular transformer models. You will apply these concepts by working on a series of hands-on labs that guide you through building, training, and deploying machine learning models using Rust, Candle, and Hugging Face. The assessment will challenge you to create a real-world application using these tools, demonstrating your ability to apply the techniques learned in complex scenarios.

What's included

15 videos16 readings1 quiz

This week, you will learn how to implement state-of-the-art natural language processing models in Rust using key LLMOps technologies like Rust Bert, tch-rs, and ONNX. You will apply these skills by converting a BERT model to ONNX and deploying it in a Rust application, demonstrating proficiency in operationalizing NLP pipelines.

What's included

10 videos13 readings1 quiz

This week, you will learn to utilize GenAI Systems to enhance your ability to write production software and solve problems.

What's included

12 videos6 readings2 quizzes

Instructors

Noah Gift
Duke University
40 Courses90,738 learners

Offered by

Duke University

Recommended if you're interested in Software Development

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