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Generative AI and Large Language Models on AWS

via LinkedIn Learning

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Get up and running with generative AI and large language models on AWS to leverage the full power of machine learning and cloud computing.

Syllabus

1. GenAI and LLMs on AWS

Course introduction
Cloud service model for AI
Cloud deployment model for AI
Benefits of cloud computing
AWS cloud adoption framework for AI
Development environment for AI
MLOps challenges and opportunities with Python and Rust
Generative AI workflow with Rust
Python for data science in the era of Rust and generative AI
Emerging Rust LLMOps workflows
AWS CodeCatalyst for Rust
SageMaker Code editor
Lightsail for research
Serverless Bedrock diagram
Bedrock knowledge agent with retrieval-augmented generation (RAG)
Demo: AWS Bedrock list with Rust
Diagram: Serverless Rust on AWS
Diagram: Rust Axum Greedy Coin microservice
Demo: Rust Axum Greedy Coin
Demo: Rust Axum Docker
Diagram: Prompt engineering
Summarizing text with Claude
AWS CodeWhisperer for Rust
Installing and configuring CodeWhisperer
Using CodeWhisperer CLI
Building Bash functions
Building a Bash CLI
Key components of AWS Bedrock
Getting started with the Bedrock SDK
Cargo SDK for Rust Bedrock
Bedrock Boto3: Listing models
Rust: Listing Bedrock models
Invoking Claude with Bedrock

Taught by

Lynn Langit

Reviews

4.5 rating at LinkedIn Learning based on 72 ratings

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