Generative AI for Executives
Field | Description / Template |
|---|---|
Purpose | To equip business leaders with the foundational knowledge and strategic tools required to drive business value and lead successful generative AI initiatives within their organizations. |
Audience | Senior business professionals and decision-makers looking to understand the strategic impact of GenAI without needing a technical background. |
Role | Executives, Senior Business Leaders, Product Owners, and Strategic Managers. |
Domain | Artificial Intelligence / Business Strategy / Cloud Computing. |
Skill Level | Beginner (Fundamental). |
Style | A blend of theory and practice featuring presentations, discussions, and hands-on activities using playgrounds. |
Duration | 1 Day |
Related Technologies | Generative AI, Amazon Bedrock, PartyRock. |
Course Description
In this course, you will learn how to use generative AI within your organization. You will learn the foundational concepts and terminology of generative AI and how to drive business value with generative AI. Through Amazon case studies, you will explore real-world applications of generative AI. Lastly, this course provides you with the fundamental concepts and tools you need to successfully lead generative AI initiatives within your organization.
Who is this course for
This course is intended for executives and senior business leaders who are in non-technical roles but are responsible for the strategic direction and AI adoption within their companies.
Course Objectives
Discuss the foundational terms and concepts related to generative AI.
Identify the potential business value of generative AI in a particular industry.
Recognize the strategic decisions that need to be made when building a generative AI solution.
Identify the next steps for generative AI in your organization.
Prerequisites
There is no prior technical knowledge or skills required to be successful in this course. However, it is recommended that you evaluate your organization's current generative AI initiatives, challenges, and future goals before the class begins to facilitate more productive discussions.
Course outline
Section 1: Introducing Generative AI
Introduction
Generative AI terms and concepts
AI agents
Responsible AI
Section 2: Reviewing Amazon Case Studies
Example use cases
Section 3: Leading Generative AI Strategically
Generating and prioritizing ideas
Evaluating operational readiness for generative AI
Selecting pilot projects
Differentiating with your data
Making technological choices to suit your use case
Considering security, privacy, and responsible AI
Scaling your infrastructure and organizational capacity to optimize the business value of generative AI