Generative AI and Large Language Models on AWS

2h 4mIntermediate2024-06-20

Authors

Noah Gift

MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO

Course details

If you’re looking for new ways to leverage generative AI and large language models (LLMs), AWS has every service you need. In this practical, hands-on course, instructor Noah Gift demonstrates the core concepts and technical skills required to set up cloud-based Rust development environments; construct serverless workflows with AWS Lambda and Step Functions; utilize AWS CodeCatalyst, SageMaker, and Lightsail; generate, edit, and summarize text and code with models like Claude and CodeWhisperer; and orchestrate models and data workflows using Amazon Bedrock. Along the way, test out your new skills with real-world coding projects designed to help you operationalize LLMs for machine learning applications.

Skills covered

Natural Language Processing (NLP)Amazon Web Services (AWS)AmazonGenerative AICloud ServicesCloud PlatformsArtificial Intelligence (AI)Cloud ComputingOne-Off

Concepts

1. GenAI and LLMs on AWS

01 - Course introduction
02 - Cloud service model for AI
03 - Cloud deployment model for AI
04 - Benefits of cloud computing
05 - AWS cloud adoption framework for AI
06 - Development environment for AI
07 - MLOps challenges and opportunities with Python and Rust
08 - Generative AI workflow with Rust
09 - Python for data science in the era of Rust and generative AI
10 - Emerging Rust LLMOps workflows
11 - AWS CodeCatalyst for Rust
12 - SageMaker Code editor
13 - Lightsail for research
14 - Serverless Bedrock diagram
15 - Bedrock knowledge agent with retrieval-augmented generation (RAG)
16 - Demo - AWS Bedrock list with Rust
17 - Diagram - Serverless Rust on AWS
18 - Diagram - Rust Axum Greedy Coin microservice
19 - Demo - Rust Axum Greedy Coin
20 - Demo - Rust Axum Docker
21 - Diagram - Prompt engineering
22 - Summarizing text with Claude
23 - AWS CodeWhisperer for Rust
24 - Installing and configuring CodeWhisperer
25 - Using CodeWhisperer CLI
26 - Building Bash functions
27 - Building a Bash CLI
28 - Key components of AWS Bedrock
29 - Getting started with the Bedrock SDK
30 - Cargo SDK for Rust Bedrock
31 - Bedrock Boto3 - Listing models
32 - Rust - Listing Bedrock models
33 - Invoking Claude with Bedrock