Enterprise AI Solutions with AWS: Amazon Q Business, Bedrock Knowledge Bases, and SageMaker MLOps
52mIntermediate2025-01-23
Authors
Noah Gift
MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO
Pragmatic AI Labs
Course details
In this course, learn about enterprise AI solutions, combining Amazon Q Business, Bedrock's knowledge bases, and SageMaker MLOps for end-to-end ML lifecycle management. Instructor Noah Gift provides an overview of Amazon Q, using CloudShell with Amazon Q, and the Amazon Q business capabilities. He then goes into AWS infrastructure and MLOps, advanced AWS AI implementation, including enterprise AIOps, Bedrock console prototyping, and RAG workflows.
Skills covered
Amazon BedrockAmazon SageMakerCloud DevelopmentMachine LearningAmazon Web Services (AWS)AmazonGenerative AICloud ServicesCloud PlatformsArtificial Intelligence (AI)Cloud ComputingOne-Off
Concepts
1. Enterprise AI Foundations
- 01 - Introduction to enterprise AI operations
- 02 - Amazon Q business overview
- 03 - Using CloudShell with Amazon Q
- 04 - Amazon Q business capabilities
2. AWS Infrastructure and MLOps
- 05 - Bedrock API CloudShell overview
- 06 - Foundational CloudShell skills
- 07 - Cost control with CloudShell and SageMaker
- 08 - Diminishing scale in LLMs
- 09 - Enterprise MLOps framework
3. Advanced AWS AI Implementation
- 10 - Enterprise AIOps with Bedrock
- 11 - RAG workflows in Bedrock
- 12 - Bedrock console prototyping
4. Best Practices
- 13 - Course summary and best practices