Course curriculum

    1. Segment 00: Reading - Welcome to the Course: Course Overview

    2. Segment 01: Intro Welcome to Advanced GenAI Risk Analysis-

    3. Segment 02: Fundamentals of Generative AI

    4. Segment 03: Reading - 4 New Ways AWS Customers are Using Amazon Bedrock to Transform Advertising and Marketing

    5. Segment 04: Inside Amazon Bedrock

    6. Segment 05: Working with parameters on Amazon Bedrock (Update)

    7. Segment 06: Hands On Learning - Brainstorming and Implementing a GenAI Use Case in Amazon Bedrock

    1. Segment 07: Configuring Bedrock for Model Deployment (Updated)

    2. Segment 08: Serverless Inference with AWS Lambda

    3. Segment 09: Orchestrating Complex Workflows with Step Functions

    4. Segment 10: Hands On Learning - Building an Automated GenAI Workflow

    5. Segment 12: Utilizing Amazon Q for insights on optimization and automation

    6. Segment 13: Reading - Connecting Amazon Q and Amazon Bedrock Together

    1. Segment 14: Monitoring _ Logging for GenAI

    2. Segment 15: Scaling Strategies and Performance Optimization for AI Workloads

    3. Segment 16: Hands On Learning - Implementing Auto-Scaling & Security Configurations

    4. Segment 17: Essentials for Security and Cost Management for Generative AI Workloads in AWS

    5. Segment 18: Continuous Optimization for Sustained AI Performance

    6. Segment 19: Reading - Well-Architected AI Lens Overview

    7. Segment 20: “Congratulations and Continuous Learning Journey”-

    8. Segment 21: Project - Assignment Project: End-to-End GenAI Project

    9. Segment 22: Quiz - GenAI for AWS AI-Driven Cloud Automation & Scaling

About this course

  • Free
  • 22 lessons
  • 1 hour of video content

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