Driving Business Value At Scale With Generative Ai

Driving Business Use Cases and Value at Scale with Generative AI

What you'll learn

Understand Generative AI Fundamentals and Business Relevance

Identify and Prioritize High-Impact Generative AI Use Cases

Design Scalable Generative AI Solutions for Real-World Deployment

Measure Business Value and Drive Continuous Improvement

Requirements

Basic Understanding of AI Concepts

Business Strategy or Process Experience

Interest in Emerging Technologies

No Programming Required (but welcome)

Access to a Use Case or Business Problem (Recommended)

Description

Generative AI is more than just a trend—it’s a transformative technology that is reshaping how businesses operate, innovate, and compete. This course is designed to help business and technology leaders move beyond the hype and into practical, high-impact applications of generative AI at scale.Through a mix of real-world case studies, strategic frameworks, and actionable tools, participants will learn how to identify valuable generative AI use cases, assess their feasibility, and build scalable solutions that drive measurable business outcomes. The course focuses on bridging the gap between AI capabilities and enterprise needs, empowering learners to align AI initiatives with strategic goals, optimize processes, and unlock new growth opportunities.This course will enrich to:This course is for:Business Executives & LeadersCEOs, COOs, CIOs, and other senior leaders looking to align AI capabilities with strategic objectives and lead enterprise-wide transformation.Product Managers & Innovation TeamsProfessionals tasked with identifying, validating, and launching new AI-enabled products, services, or features.Digital Transformation & Strategy ProfessionalsLeaders and consultants working on modernizing business operations through emerging technologies, including AI.Data & AI Program ManagersIndividuals overseeing AI/ML initiatives who want to understand how to prioritize use cases and deliver measurable ROI.Functional Leaders (HR, Marketing, Finance, etc.)Department heads seeking to apply generative AI to specific domains—e.g., content generation, financial modeling, or intelligent automation.Participants will also explore key topics such as ethical AI deployment, governance, risk management, and success measurement. Whether you're leading a digital transformation, launching AI-powered products, or simply exploring how generative AI fits into your business, this course equips you with the knowledge and confidence to lead with impact.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 How to look forward

Section 2: Driving business use cases and value at scale with generative AI

Lecture 3 Driving business use cases and value at scale with generative AI

Section 3: 7 principles for effective and cost efficient generative AI apps

Lecture 4 7 Principles for Effective and Cost-Efficient Generative AI Applications

Section 4: Building a mature generative AI platform responsibly on AWS

Lecture 5 Building a mature generative AI platform responsibly on AWS

Section 5: Data platform modernization to generative AI innovation

Lecture 6 Data platform modernization to generative AI innovation

Section 6: The AWS approach to secure generative AI

Lecture 7 The AWS approach to secure generative AI

This course is designed for business and technology leaders who want to harness the power of generative AI to drive real, scalable business value. It is ideal for professionals responsible for innovation, strategy, operations, or digital transformation within their organizations.