AWS Services for AI Solutions

Overview

Accelerate your AI expertise by diving deep into AWS AI services and solution architecture. This course guides you through evaluating and implementing AWS AI services for tasks ranging from generative AI to computer vision. You'll experiment with generative AI on Amazon Bedrock, learn prompt engineering techniques, and learn how AI agents can automate workflows. The course emphasizes practical application, teaching you to design effective AI architectures and integrate various AWS services for storage, databases, data processing, and security. Through hands-on labs, you'll learn to make solid decisions about AI implementation and develop the skills to architect AI solutions.

Syllabus

Module 1: AWS Pre-trained AI Services
Submodule: C2-M1-A-00 (AI fundamentals)
Video: C2-M1-A-10 - Welcome to the course
Graphic: C2-M1-A-15 - Course Roadmap

Video: C2-M1-A-20 - AI fundamentals and how to start on AWS
Reading: C2-M1-A-30 - AI glossary
Submodule: C2-M1-B-00 (Purpose-built AWS AI services)
Video: C2-M1-B-05 - Purpose-built AI services on AWS and their categories
Video: C2-M1-B-10 - Further Exploring Amazon Q
Reading: C2-M1-B-20 - A guide to Amazon Q products

Video: C2-M1-B-30 - Computer vision with Amazon Rekognition
Video: C2-M1-B-40 - Text analysis with Amazon Comprehend
Reading: C2-M1-B-50 - AWS AI services
Assessment: C2-M1-B-50 - Module 1 Quiz

Module 2: Innovating with generative AI on Amazon Bedrock
Submodule: C2-M2-A-00 (Prompt engineering with Amazon Bedrock)
Video: C2-M2-A-10 - Welcome to module 2
Reading: C2-M2-A-20 - Overview of FMs on Amazon Bedrock
Video: C2-M2-A-30 - Prompt engineering essentials
Reading: C2-M2-A-40 - Prompt engineering best practices

Lab: C2-M2-A-50 - Practicing prompt engineering methods
Submodule: C2-M2-B-00 (Model customization and task automation on Amazon Bedrock)
Video: C2-M2-B-10 - Amazon Bedrock Custom Models
Video: C2-M2-B-20 - Amazon Bedrock Parameter tuning (Demo)
Reading: C2-M2-B-30 - Automating tasks with AI agents
Assessment: C2-M2-B-40 - Module 2 quiz

Module 3: Considerations for AI Solutions
Submodule: C2-M3-A-00 (Considerations for AI solutions)
Video: C2-M3-A-10 - Introduction to module 3
Video: C2-M3-A-20 - Considerations for Corporate AI solutions
Submodule: C2-M3-B-00 (Data foundations and AWS services for AI solutions)
Reading: C2-M3-B-10 - Data foundations
Video: C2-M3-B-20 - Data services for AI solutions
Video: C2-M3-B-30 - Architecting AI solutions
Video: C2-M3-B-40 - Tech Talk: AI architecting best practices
Reading: C2-M3-B-50 - Additional resources
Video: C2-M3-B-60 - Course closing

Assessment: C2-M3-C-40 - Final Assessment