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Digital Transformation and AI for Business

Digital Transformation and AI for Business

Instructor: Wiley Skills Network

Included with

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7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Align senior leadership to achieve digital transformation goals
Understand the impact of emerging technologies like AI and machine learning
Develop agile systems and scalable digital capabilities

Skills you'll gain

Tools you'll learn

AI Workflows

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 7 modules in this course

Based on the best-selling book, Rewired, by Eric Lamarre, Kate Smaje, and Rodney Zemmel. In a world where digital transformation defines success, this course empowers leaders to harness the full potential of digital and AI technologies. It reveals how top organizations are outcompeting their rivals by aligning strategy, technology, and talent for accelerated growth.

Through a structured learning journey, learners will gain practical tools to lead digital change, optimize operations, and drive innovation at scale. Each module connects theory with actionable frameworks that can be applied directly in professional contexts. What makes this course distinctive is its real-world foundation—developed by McKinsey & Company, it blends rigorous research with case studies from successful digital transformations. Participants will not only understand the “why” but also master the “how” of competing in the digital age. This course is ideal for executives, managers, and business leaders involved in digital strategy or transformation. A foundational understanding of business operations and digital technologies will help learners fully benefit from the material. From Rewired Copyright © 2023 by McKinsey & Company. All rights reserved. Published by John Wiley & Sons, Inc.. Used by arrangement with John Wiley & Sons, Inc..

Module details

In this section, we will discover how to design a transformation roadmap through leadership alignment, strategic planning, and resource allocation for sustainable digital and AI change.

What's included

2 videos7 readings1 assignment

2 videosTotal 2 minutes

Course Overview1 minute
Creating the Transformation Roadmap - Overview Video1 minute

7 readingsTotal 115 minutes

Introduction10 minutes
Commitment20 minutes
Have business leaders define what's possible20 minutes
How to Think About Emerging Technologies Such as Generative AI10 minutes
Figure out what resources you need to achieve what you want15 minutes
Build capabilities for now and the next decade20 minutes
Partnering to Accelerate Capability Building20 minutes

1 assignmentTotal 10 minutes

Foundations of Building a Transformation Roadmap10 minutes

In this section, we will explore how to identify, develop, and support digital and artificial intelligence talent, bridging talent gaps and fostering environments where digital experts achieve their full potential.

What's included

1 video6 readings1 assignment

1 videoTotal 2 minutes

Building Your Talent Bench - Overview Video2 minutes

6 readingsTotal 90 minutes

Introduction10 minutes
Understanding the Digital Talent You Have10 minutes
Case Example A Global Insurance Company Fills Its Talent Gap20 minutes
Hiring Digital Talent When They're Actually Interviewing You20 minutes
Finding Talent Internally10 minutes
Use Tech Competency Markers in Performance Management20 minutes

1 assignmentTotal 10 minutes

Building an Effective Digital Talent Bench10 minutes

In this section, we examine how to scale agile operating models, structure governance for managing numerous agile pods, and embed customer experience (CX) design into digital and AI-driven organizations for increased flexibility and speed.

What's included

1 video7 readings1 assignment

1 videoTotal 1 minute

Adopting a New Operating Model - Overview Video1 minute

7 readingsTotal 90 minutes

Introduction10 minutes
Setting the Mission and OKRs10 minutes
Operating models that support hundreds of agile pods20 minutes
Product and Platform Model10 minutes
Enterprise-wide Agility Model20 minutes
Career Paths and Professional Development10 minutes
Customer experience design The magic ingredient10 minutes

1 assignmentTotal 10 minutes

Adopting and Scaling a New Operating Model10 minutes

In this section, we examine how distributed architectures, API integration, cloud adoption, automation, and DevSecOps enable rapid, secure software and AI innovation, emphasizing key technology and leadership practices for digital transformation.

What's included

1 video9 readings1 assignment

1 videoTotal 1 minute

Technology for Speed and Distributed Innovation - Overview Video1 minute

9 readingsTotal 110 minutes

Introduction10 minutes
Leverage a Cloud-Based Data Platform10 minutes
A more surgical and value-backed approach to cloud10 minutes
Build Up Your FinOps Capability10 minutes
Decide on Which Software Framework to Use20 minutes
The tools to make your developers highly productive10 minutes
Case Example Spotify Tackles Developer Productivity10 minutes
Delivering production-grade digital solutions10 minutes
Build in security and automation from the start20 minutes

1 assignmentTotal 10 minutes

Technology Foundations for Speed and Innovation10 minutes

In this section, we examine how to design reusable data products, implement federated data governance, and build robust data architecture, enabling organizations to scale AI initiatives and foster data-driven decision making.

What's included

1 video7 readings1 assignment

1 videoTotal 1 minute

Embedding Data Everywhere - Overview Video1 minute

7 readingsTotal 70 minutes

Introduction10 minutes
Data products: The reusable building blocks for scaling10 minutes
Identifying Data Products That Generate Value10 minutes
Data architecture or the system of data pipes10 minutes
Cloud versus On-Premises Data Infrastructure10 minutes
Best Practices for Designing a Data Architecture10 minutes
Talent and a Data-Driven Culture10 minutes

1 assignmentTotal 10 minutes

Embedding Data Principles and Strategies10 minutes

In this section, we examine strategies for user adoption and scaling of digital and AI solutions, discuss solution design for replication, and highlight using KPIs to track impact and ensure business value.

What's included

1 video9 readings1 assignment

1 videoTotal 1 minute

The Keys to Unlock Adoption and Scaling - Overview Video1 minute

9 readingsTotal 130 minutes

Introduction10 minutes
Business Model Adaptation10 minutes
Design solutions for easy replication and reuse20 minutes
Case Example Driving Adoption and Scaling of 400 AI Models20 minutes
Assessing Pod Health20 minutes
Tracking with a Stage-Gate Process10 minutes
Managing risk and building digital trust10 minutes
Raise Awareness and Pattern Recognition20 minutes
Build Broad Learning Programs That Can Scale10 minutes

1 assignmentTotal 10 minutes

Keys to Effective Digital and AI Transformation10 minutes

In this section, we analyze real-world case studies from leading companies to illustrate how integrating six core capabilities enables successful digital and AI transformation, emphasizing practical applications and scalable adoption.