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Noah Gift
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.
Read more
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.
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/0yqjj5/rust
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.
Good to know
Good to know
Know what's good ,
what to watch for , 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
Save this course
Save Rust for Large Language Model Operations (LLMOps) to your list so you can find it easily later:
Save
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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
Show steps
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
Show steps
-
Revisit basic syntax, data types, and control flow.
-
Practice writing simple Rust programs to solve small problems.
Practice LLM Integration with Rust
Show steps
Provides hands-on practice in integrating Rust with popular LLM frameworks, solidifying your understanding of the techniques taught in the course.
Show steps
-
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
Show steps
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
Show steps
-
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
Expand to see all activities and additional details
Show all four activities
Develop an LLM-Powered Application Prototype
Show steps
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.
Show steps
-
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.
Review Rust Basics
Show steps
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
Show steps
Show steps
Show steps
- Revisit basic syntax, data types, and control flow.
- Practice writing simple Rust programs to solve small problems.
Practice LLM Integration with Rust
Show steps
Provides hands-on practice in integrating Rust with popular LLM frameworks, solidifying your understanding of the techniques taught in the course.
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Expand to see all activities and additional details
Show all four activities
Develop an LLM-Powered Application Prototype
Show steps
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.
Show steps
Show steps
Show steps
- 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:
Data Scientist
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.
Machine Learning Engineer
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.
Software Engineer
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.
Research Scientist
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.
Product Manager
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.
Data Analyst
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.
Business 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.
Technical Writer
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.
Project Manager
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.
Account Manager
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.
Sales Manager
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.
Customer Success Manager
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.
Marketing Manager
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.
Operations Manager
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.
Financial Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/0yqjj5/rust
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Rust for Large Language Model Operations (LLMOps).
Is the official documentation for the Rust programming language and provides a detailed reference for all of its features.
Save
Provides a practical guide to using Rust to build real-world applications with a focus on performance and safety.
Provides a comprehensive overview of the fundamentals of large language models and their applications in various fields.
Provides a guide to idiomatic Rust programming, helping learners write code that is both safe and efficient.
Save
Provides a comprehensive guide to Rust programming, covering the basics to advanced topics.
Save
Provides a practical guide to using Rust to build real-world applications.
Save
Provides a practical introduction to Rust through hands-on projects. It valuable resource for learners who want to gain practical experience with Rust.
Save
Provides a comprehensive introduction to Rust. It valuable resource for learners who want to build LLM applications using Rust.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0yqjj5/rust
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Effort
3 to 6 hours per week for 4 weeks
Level
Introductory
Via
edX
Institution
Pragmatic AI Labs
Instructor
Noah Gift
Session
March 12, 2024
- March 13, 2025
Language
English
Transcript
English
Good to know
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
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