Rust for Large Language Model Operations (LLMOps) from edX

This advanced course trains you for the cutting-edge of AI development by combining the power of Rust with Large Language Model Operations

Learn to build scalable LLM solutions using the performance of Rust
Master integrating Rust with LLM frameworks like HuggingFace Transformers
Integrate Rust with LLM frameworks like HuggingFace, Candle, ONNX

Get trained in the latest AI/ML innovations while mastering systems programming with Rust - your pathway to building state-of-the-art LLM applications.

Optimize LLM training/inference by leveraging Rust's parallelism and GPU acceleration
Build Rust bindings for seamless integration with HuggingFace Transformers
Convert and deploy BERT models to Rust apps via ONNX runtime
Utilize Candle for streamlined ML model building and training in Rust
Host and scale LLM solutions on AWS cloud infrastructure
Hands-on labs: Build chatbots, text summarizers, machine translation
Apply LLMOps DevOps practices - CI/CD, monitoring, security
Techniques for memory safety, multithreading, lock-free concurrency
Best practices for LLMOps reliability, scalability, cost optimization
Real-world projects demonstrating production-ready LLMOps expertise

What's inside

Learning objectives

Understand how to apply rust's inherent safety and performance benefits to build a reliable and efficient llmops infrastructure.
Create rust bindings to facilitate seamless integration with widely-adopted llm frameworks like huggingface transformers.
Master the art of building, training, and deploying large language models at scale, using aws services harmoniously integrated with rust.

Implement best practices in devops and llmops, such as continuous integration and continuous deployment (ci/cd), to optimize your llm pipelines.
Acquire hands-on skills to monitor, troubleshoot, and secure deployed llms in production environments.
Analyze real-world use-cases and complete projects that demonstrate your llmops prowess, preparing you for industry roles requiring expertise in llms and rust.

Understand how to apply rust's inherent safety and performance benefits to build a reliable and efficient llmops infrastructure.
Create rust bindings to facilitate seamless integration with widely-adopted llm frameworks like huggingface transformers.
Master the art of building, training, and deploying large language models at scale, using aws services harmoniously integrated with rust.
Implement best practices in devops and llmops, such as continuous integration and continuous deployment (ci/cd), to optimize your llm pipelines.
Acquire hands-on skills to monitor, troubleshoot, and secure deployed llms in production environments.
Analyze real-world use-cases and complete projects that demonstrate your llmops prowess, preparing you for industry roles requiring expertise in llms and rust.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides experience in building, training, and deploying large language models at scale, which is an essential skill for those looking to enter the field of AI development

Utilizes AWS services to build LLMOps infrastructure, providing learners with practical experience in cloud computing

Focuses on LLMOps DevOps practices, providing a comprehensive understanding of deploying and maintaining LLMs in production

Introduces students to HuggingFace Transformers and the Rust programming language, which are popular tools in the field of AI development

Provides hands-on labs and interactive materials, which enhance the learning experience and make the course more engaging

Reviews summary

Rust llmops: high-performance ai systems

According to students, this course offers an invaluable and unique deep dive into Rust for Large Language Model Operations, highly praised for its practical, hands-on approach. Learners particularly appreciate the real-world projects, covering topics from performance optimization to AWS deployment and LLMOps DevOps practices like CI/CD. While providing essential skills for high-performance AI systems, it is important to note that the course assumes a strong foundation in both advanced Rust and Machine Learning/LLMs, which some found could lead to a challenging and fast pace.

Instructor provides clear explanations and deep insights.

"The instructor clearly knows their stuff and explains complex topics well."

"The instructor's clear explanations and hands-on approach are fantastic."

Focuses on immediately applicable skills for production systems.

"The hands-on labs for deploying models on AWS were incredibly practical."

"The material is top-notch and directly applicable."

"The CI/CD and monitoring sections were particularly useful for my job."

Offers hands-on experience in a niche, high-demand area.

"This course is exactly what I needed to bridge my Rust skills with the exploding field of LLMOps."

"Absolutely brilliant! The focus on practical LLMOps with Rust is unique and invaluable."

"I now feel confident building high-performance LLM applications using Rust."

Some learners found the course fast-paced and overwhelming.

"My only minor gripe is that sometimes the pace felt a bit fast..."

"I felt overwhelmed at times, having to constantly look up basic Rust concepts."

"Some parts felt a bit rushed, especially the more theoretical aspects..."

Demands solid prior expertise in both Rust and ML/LLMs.

"The Rust parts assume a solid understanding of advanced Rust concepts (async, concurrency, FFI)."

"If you're not proficient in both Rust and ML/LLMs, you will struggle immensely."

"I found myself frequently lost... The explanations... were too high-level without enough step-by-step guidance."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Rust for Large Language Model Operations (LLMOps) with these activities:

Review Rust Basics

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Refreshes your understanding of Rust's core concepts, making it easier to follow along with the advanced techniques covered in this course.

Browse courses on Rust

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Revisit basic syntax, data types, and control flow.
Practice writing simple Rust programs to solve small problems.

Practice LLM Integration with Rust

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Provides hands-on practice in integrating Rust with popular LLM frameworks, solidifying your understanding of the techniques taught in the course.

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Build a simple chatbot using HuggingFace Transformers in Rust.
Create a text summarizer with GPT-3 and demonstrate its usage in Rust code.

Dive Deeper into Rust Concurrency

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Extends your understanding of Rust's concurrency features by exploring advanced concepts and techniques covered in the book, enhancing your ability to build scalable and responsive LLM solutions.

View The Rust Programming Language, 2nd Edition on Amazon

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Read selected chapters on Rust's concurrency model and thread management.
Implement examples and exercises provided in the book to practice concurrency techniques.

One other activity

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Develop an LLM-Powered Application Prototype

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Challenges you to apply the skills learned in the course by creating a working prototype of an LLM-powered application, fostering your creativity and problem-solving abilities.

Browse courses on LLM Applications

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Brainstorm an idea for an LLM-based solution to a real-world problem.
Design the application's architecture and workflow.
Implement the prototype using Rust and integrate with an LLM service.

Career center

Learners who complete Rust for Large Language Model Operations (LLMOps) will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

This advanced course will train you for the cutting-edge of AI development by combining the power of Rust with Large Language Model Operations (LLMOps). You will learn to build scalable LLM solutions using the performance of Rust, master integrating Rust with LLM frameworks like HuggingFace Transformers, and integrate Rust with LLM frameworks like HuggingFace, Candle, and ONNX. This course is ideal for those who wish to enter the field of Machine Learning Engineering, as it provides a comprehensive foundation in the latest AI/ML innovations while also teaching systems programming with Rust. With this knowledge, you will be able to build state-of-the-art LLM applications.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

This course will teach you how to apply Rust's inherent safety and performance benefits to build a reliable and efficient LLMOps infrastructure. You will also learn how to create Rust bindings to facilitate seamless integration with widely-adopted LLM frameworks like HuggingFace Transformers, master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust, and implement best practices in DevOps and LLMOps, such as Continuous Integration and Continuous Deployment (CI/CD), to optimize your LLM pipelines. These skills are essential for Data Scientists who wish to work with LLMs, and this course provides a unique opportunity to learn them in a hands-on environment.

See salaries and explore the career path for Data Scientist

Software Engineer

This course will teach you how to acquire hands-on skills to monitor, troubleshoot, and secure deployed LLMs in production environments. You will also learn how to analyze real-world use-cases and complete projects that demonstrate your LLMOps prowess, preparing you for industry roles requiring expertise in LLMs and Rust. Software Engineers who are interested in working with LLMs will find this course invaluable.

See salaries and explore the career path for Software Engineer

Research Scientist

This course will teach you how to understand how to apply Rust's inherent safety and performance benefits to build a reliable and efficient LLMOps infrastructure. You will also learn how to create Rust bindings to facilitate seamless integration with widely-adopted LLM frameworks like HuggingFace Transformers, master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust, and implement best practices in DevOps and LLMOps, such as Continuous Integration and Continuous Deployment (CI/CD), to optimize your LLM pipelines. Research Scientists who are interested in working with LLMs will find this course helpful.

See salaries and explore the career path for Research Scientist

Product Manager

This course will teach you how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust. You will also learn how to implement best practices in DevOps and LLMOps, such as Continuous Integration and Continuous Deployment (CI/CD), to optimize your LLM pipelines. Product Managers who are interested in working with LLMs will find this course helpful.

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Data Analyst

This course will teach you how to build Rust bindings to facilitate seamless integration with widely-adopted LLM frameworks like HuggingFace Transformers. You will also learn how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust, and implement best practices in DevOps and LLMOps, such as Continuous Integration and Continuous Deployment (CI/CD), to optimize your LLM pipelines. Data Analysts who are interested in working with LLMs will find this course helpful.

See salaries and explore the career path for Data Analyst

Business Analyst

This course will teach you how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust. You will also learn how to implement best practices in DevOps and LLMOps, such as Continuous Integration and Continuous Deployment (CI/CD), to optimize your LLM pipelines. Business Analysts who are interested in working with LLMs will find this course helpful.

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Technical Writer

This course will teach you how to build Rust bindings to facilitate seamless integration with widely-adopted LLM frameworks like HuggingFace Transformers. You will also learn how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust, and implement best practices in DevOps and LLMOps, such as Continuous Integration and Continuous Deployment (CI/CD), to optimize your LLM pipelines. Technical Writers who are interested in working with LLMs will find this course helpful.

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Project Manager

This course will teach you how to implement best practices in DevOps and LLMOps, such as Continuous Integration and Continuous Deployment (CI/CD), to optimize your LLM pipelines. Project Managers who are interested in working with LLMs will find this course helpful.

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Sales Manager

This course will teach you how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust. Sales Managers who are interested in working with LLMs will find this course helpful.

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Marketing Manager

This course will teach you how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust. Marketing Managers who are interested in working with LLMs will find this course helpful.

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Account Manager

This course will teach you how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust. Account Managers who are interested in working with LLMs will find this course helpful.

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Customer Success Manager

This course will teach you how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust. Customer Success Managers who are interested in working with LLMs will find this course helpful.

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Operations Manager

This course will teach you how to implement best practices in DevOps and LLMOps, such as Continuous Integration and Continuous Deployment (CI/CD), to optimize your LLM pipelines. Operations Managers who are interested in working with LLMs will find this course helpful.

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Financial Analyst

This course will teach you how to master the art of building, training, and deploying large language models at scale using AWS services harmoniously integrated with Rust. Financial Analysts who are interested in working with LLMs will find this course helpful.

See salaries and explore the career path for Financial Analyst