Oreilly – Rust LLMOps 2024-7

Rust LLMOps is a course that combines the power of Rust programming with the modern context of LLMOps, published by Oreilly Online Academy. This is a specialized course that combines the power of Rust programming with the modern context of LLMOps (Large Language Model Operations). Designed for developers, machine learning engineers, and system architects, this course guides you in designing, building, and deploying scalable, secure AI systems that integrate large language models using Rust. With a focus on high performance, low latency, and strong memory safety, it explores the complete pipeline of working with LLMs—from data and preprocessing to model synchronization and operational monitoring—all with the powerful Rust toolchain.

This course covers the core concepts of Rust designed for AI infrastructure, building data pipelines for LLM training and inference, integrating with APIs like Hugging Face and OpenAI, and managing fast patterns and memory in production environments. Learners gain hands-on experience building CLI tools, deploying microservices, and orchestrating workflows with LangChain and WebAssembly for edge inference – all while ensuring performance and safety by leveraging Rust’s unique features.

What you will learn in Rust LLMOps:

• Operationalizing Microservices
• Responding to Resource-at-risk workloads
• Preventing data races with the Rust compiler
• Securing accounts with 2fa
• Repository privacy settings
• Key concepts of the Github ecosystem
• Github beta actions
• And…

Course specifications

Publisher: Oreilly
Instructors: Alfredo Deza and Noah Gift
Language: English
Level: Introductory to Advanced
Number of Lessons: 59
Duration: 3 hours and 53 minutes

Course topics

Rust LLMOps Prerequisites

None

Pictures

Rust LLMOps introduction video

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Download link

Download – 505 MB

Size

505 MB