AWS GenAI for Executives

Overview

Comprising a half-day, participants will delve into the fundamental concepts of generative AI, explore its potential business value, and identify real-world use cases applicable across various industries. The course emphasizes the importance of managing people, process, and technology changes to ensure successful and responsible implementation of generative AI. Whether you’re exploring generative AI for the first time or looking to enhance your existing knowledge, you’ll discover how generative AI can unlock unprecedented levels of efficiency, creativity, and innovation from content creation and customer service to product development and strategic decision-making.

Prerequisites

There are no specific prerequisites for this course beyond an interest in understand the capabilities of AWS GenAI tools.

Target Audience

This course is designed for:

• Executives, senior management and decision makers

Objectives

By the end of this course, learners will be able to:

• Understand foundational concepts of AI and generative AI, including key terminology and real-world applications.
• Analyze strategic implementations of generative AI through case studies, with a focus on best practices and lessons learned.
• Apply responsible AI principles to ensure ethical, safe, and secure use of generative AI in organizational contexts.
• Develop strategic leadership skills to guide the adoption of generative AI, aligning people, processes, and technology.
• Identify actionable next steps to begin or advance your generative AI journey with clarity and confidence.

Outline

Module 1: Introducing Generative AI

We will start by laying the foundation with key terms and definitions related to AI and generative AI. You will explore the capabilities of this exciting technology and delve into a compelling case study to understand its real-world applications.

Module 2: Learning from Generative AI Case Studies

Next, you will dive deep into technology strategies through a customer review case study and explore how different approaches can be applied across Amazon case studies. We will spotlight the key takeaways and best practices from these implementations.

Module 3: Practicing Generative AI Responsibly

We take responsible AI practices seriously. In this module, we will define what responsible AI means and discuss how to generate safe and expected outputs while protecting your data. This enables you to adopt generative AI in your organization ethically and securely.

Module 4: Leading Generative AI Strategically

In this module, you will learn how to prepare your organization for the successful adoption of generative AI. This includes understanding the people, processes, and technology required, as well as exploring strategic use cases to drive competitive advantage.

Module 5: Course Wrap-Up

Finally, we will summarize the key takeaways and next steps to continue your generative AI journey. You will leave the course with a clear understanding of the specific actions you can take to get started.

Exams and Assessments

There are no exams or certifications associated with this course.

Hands-On Learning

• This course is a mixture of presentations, discussion and demonstration.