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LinkedIn Learning

Generative AI and Large Language Models on AWS

via LinkedIn Learning

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Overview

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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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