Amazon Web Services -
Generative AI for Executives
- Delivery: Online
- Study Level: Other
- Duration: 50 minutes
Learn the fundamentals of generative AI.

Course Overview
This course explains generative AI's foundational concepts and terminology and how to drive business value with generative AI. You are introduced to AWS generative AI services and strategies to choose services best suited for your enterprise's use case. Lastly, in this course, you learn the factors you need to consider to get started with generative AI in your enterprise.
- Learn at your own pace.
- No prerequisites required.
Key Facts
What you will study
This course consists of the following 18 videos:
- Introducing Generative AI for Executives
- Comparing Machine Learning, Deep Learning and Generative AI
- Defining Foundation Models, Prompts and Prompt Engineering
- Defining Tokens, Embedding, Vectors, and Transformers
- Choosing a Foundation Model
- Using Your Own Data with a Foundation Model
- Choosing the Right AWS Service for Your Use Case
- Choosing Amazon SageMaker for Generative AI
- Choosing Amazon Bedrock for Generative AI
- Choosing Amazon Q for Generative AI
- Case Study: Using Generative AI to Improve Customer Reviews
- Preparing the Organization for Generative AI
- Getting Started with a Pilot Project
- Practicing Generative AI Responsibly
- Building Responsible AI into Your Solutions
- Protecting and Using Your Data in Generative AI Applications
- Optimising Performance and Cost through Model Selection
- Leading Your Generative AI Journey
Who should attend
This course is intended for individuals in the following roles:
- Executives
- Non-technical business leaders
- Business decision-makers and technical decision-makers
What you will learn
After watching the videos in this course, you will be able to do the following:
- Explain the terms and concepts related to generative AI.
- Recognise the strategic decisions that need to be made when building a generative AI solution.
- Identify which AWS generative AI services to use depending on your use case.
- Identify how to prepare the enterprise to use generative AI successfully.