AI: Rust for Large Language Model Operations (LLMOps)

415,00 

Develop efficient Large Language Model solutions using Rust.

Categories ,

415,00 

Develop efficient Large Language Model solutions using Rust.

Categories ,

Discover the Course

About this course

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

At a glance

  • Institution:

    AI

  • Subject: Computer Science
  • Level: Introductory
  • Prerequisites:
    None
  • Language: English
  • Video Transcript: English
  • Associated programs:
    • Professional Certificate in Rust Programming

What you’ll learn

  • 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.

Course Overview

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