Enterprise AI Solutions with AWS: Amazon Q Business, Bedrock Knowledge Bases, and SageMaker MLOps

سرفصل های دوره

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.

Note: This course was created by Pragmatic AI Labs. We are pleased to host this training in our library.

01 - 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

02 - 2. AWS Infrastructure and MLOps

01 - Bedrock API CloudShell overview

02 - Foundational CloudShell skills

03 - Cost control with CloudShell and SageMaker

04 - Diminishing scale in LLMs

05 - Enterprise MLOps framework

03 - 3. Advanced AWS AI Implementation

01 - Enterprise AIOps with Bedrock

02 - RAG workflows in Bedrock

03 - Bedrock console prototyping

04 - 4. Best Practices

01 - Course summary and best practices

439,000 تومان

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تولید کننده: LinkedIn Learning (Lynda)