Will I learn how to create an enterprise AI strategy?

Yes. The course guides you through building, aligning, and executing an AI roadmap tied to business objectives.

Does the course cover ethical and responsible AI use?

Absolutely. Ethics, governance, risk management, and compliance are core components of the curriculum.

Is this course relevant across industries?

Yes. The frameworks and case studies apply to sectors such as healthcare, finance, logistics, technology, and public services.

What tools will I be introduced to in this program?

You’ll explore enterprise AI platforms such as LeewayHertz, C3.ai, Coupa (LLamasoft), and Zebra Workcloud to understand real-world AI deployment.

How practical is the learning experience?

The course includes real-world case studies, leadership scenarios, and a capstone project focused on strategic AI decision-making.

Can this course help me transition into a Chief AI Officer role?

Yes. It equips you with the strategic, governance, and leadership skills expected from a Chief AI Officer.

Is this course suitable for founders and business leaders?

Definitely. It helps leaders align AI initiatives with growth, efficiency, and innovation goals.

How long does it take to complete the course?

The self-paced format is designed to be completed in approximately 8 hours.

Will I be able to apply what I learn immediately?

Yes. The course emphasizes actionable strategies you can apply to current leadership and AI initiatives right away.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

AI for Strategic Leadership

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AI for Strategic Leadership

Instructor: AI CERTs Team

Included with

Learn more

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

AI Strategy & Roadmapping: Build and execute an enterprise AI roadmap aligned with business goals and long-term value creation.
Leadership in AI Transformation: Lead cross-functional teams to drive organization-wide AI adoption and cultural change.
Ethical AI & Governance: Design governance frameworks to manage risk, ensure compliance, and deploy responsible AI systems.
AI-Driven Business Impact: Use data and AI insights to improve decision-making, operational efficiency, and innovation outcomes.

Skills you'll gain

Tools you'll learn

Generative AI

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

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 8 modules in this course

AI for Strategic Leadership is designed for senior leaders and aspiring executives responsible for shaping AI strategy, governance, and enterprise-wide adoption. The course focuses on how organizations can move from isolated AI initiatives to scalable, value-driven transformation.

Learners explore AI from a leadership perspective covering strategic planning, operating models, data readiness, talent structures, and decision frameworks required to embed AI into core business functions. The program emphasizes practical approaches to building AI roadmaps, aligning AI investments with business outcomes, managing risk and cybersecurity, and ensuring ethical and responsible AI use. Through case studies, applied projects, and real-world leadership scenarios, participants gain hands-on insight into evaluating AI opportunities, measuring impact, and leading cross-functional teams. The course also introduces enterprise AI and decision-intelligence platforms that support innovation, operational efficiency, and data-driven decision-making at scale. By the end of the program, learners will be equipped to guide AI initiatives with confidence, communicate effectively with technical and business stakeholders, and lead AI-enabled transformation across the organization.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

20 videos1 reading1 assignment7 plugins

20 videos Total 147 minutes

Audiobook: Course Introduction 4 minutes
Course Introduction 3 minutes
Audiobook: Module 1: Foundations of AI and Leadership in the Digital Era 73 minutes
Podcast: Module 1: Foundations of AI and Leadership in the Digital Era 30 minutes
1.1 An overview of AI 4 minutes
1.2 AI's capabilities, and its impact on organizations 2 minutes
1.3 Real World examples of AI integrated Leadership with Case Study 2 minutes
1.4 Supervised Learning 2 minutes
1.5 UnSupervised Learning 2 minutes
1.6 Reinforcement Learning 3 minutes
1.7 Deep Learning 3 minutes
1.8 Natural Language Processing (NLP) 2 minutes
1.9 Chief AI Officer (CAIO) 2 minutes
1.10 Responisiblities of CAIO compared to other C-suite Executives 2 minutes
1.11 Real-world Examples 2 minutes
1.12 Cybersecurity Threats 2 minutes
1.13 Integrating Ai-driven security measures to combat evolving threats 2 minutes
1.14 Establishing Cross-Departmental Collaboration 2 minutes
1.15 Enhancing AI Through Cross-Department Collaboration 3 minutes
1.16 Case Study: CISA's Appointment of Lisa Einstein as CAIO 3 minutes

1 reading Total 10 minutes

Hands On 10 minutes

1 assignment Total 30 minutes

Quiz 1 30 minutes

7 plugins Total 105 minutes

eBooks: Module 1: Foundations of AI and Leadership in the Digital Era 15 minutes
Activity: Hotspot 15 minutes
Activity: Timeline 15 minutes
Activity: Tab 15 minutes
Activity: True or False 15 minutes
Activity: Popup 15 minutes
Activity: Let's Check your Knowledge 15 minutes

What's included

17 videos1 reading1 assignment6 plugins

17 videos Total 154 minutes

Audiobook: Module 2: Crafting a Strategic AI Roadmap 70 minutes
Podcast: Module 2: Crafting a Strategic AI Roadmap 45 minutes
2.1 Aligning AI with Business Objectives 4 minutes
2.2 Techniques for Integrating AI Initiatives - Part 1 3 minutes
2.3 Techniques for Integrating AI Initiatives - Part 2 3 minutes
2.4 Setting Measurable Goals 2 minutes
2.5 Methods for Defining Clear, Actionable Objectives for AI Projects 3 minutes
2.6 Case Study: Coca-Cola’s AI-Powered Marketing Strategy 1 minute
2.7 Identifying Opportunities for Innovation 2 minutes
2.8 Frameworks to Pinpoint Areas Where AI Can Add Value 2 minutes
2.9 Identifying Inefficiencies and Improvement Areas Through Value Chain 3 minutes
2.10 Strategies for Fostering Collaboration 2 minutes
2.11 Techniques for Tracking Performance and Adapting Strategies 3 minutes
2.12 Importance of Data-Driven Decision Making 3 minutes
2.13 Agile Methodologies in AI Project Management 3 minutes
2.14 Risk Management and Mitigation in AI Implementation 2 minutes
2.15 Case Study: Analysis of VISA’s Successful AI Strategy & Roadmap 2 minutes

1 reading Total 10 minutes

Hands On 10 minutes

1 assignment Total 30 minutes

Quiz 2 30 minutes

6 plugins Total 90 minutes

eBook: Module 2: Crafting a Strategic AI Roadmap 15 minutes
Activity: Tab 15 minutes
Activity: Case Study 15 minutes
Activity: Hotspot 15 minutes
Activity: Case Study 15 minutes
Activity: Let's Check your Knowledge 15 minutes

What's included

14 videos1 reading1 assignment4 plugins

14 videos Total 111 minutes

Audiobook: Module 3: Building a High-Performance AI Team 57 minutes
Podcast: Module 3: Building a High-Performance AI Team 30 minutes
3.1 Key Roles in Successful Project Execution 2 minutes
3.2 Identifying Essential Positions Part 1 2 minutes
3.3 Identifying Essential Positions Part 2 2 minutes
3.4 Recruitment Strategies for Top Talent 3 minutes
3.5 Best Practices for Attracting Skilled Professionals 2 minutes
3.6 Cultivating a Collaborative Culture 1 minute
3.7 Techniques to Promote Teamwork and Innovation 2 minutes
3.8 Continuous Learning Initiatives 2 minutes
3.9 Upskilling Team Members 2 minutes
3.10 Evaluating Team Performance 1 minute
3.11 Metrics and KPIs to Assess Team Effectiveness 2 minutes
3.12 Case Study 3 minutes

1 reading Total 10 minutes

Hands On 10 minutes

1 assignment Total 30 minutes

Quiz 3 30 minutes

4 plugins Total 60 minutes

eBook: Module 3: Building a High-Performance AI Team 15 minutes
Activity: Hotspot 15 minutes
Activity: Tab 15 minutes
Activity: Let's Check your Knowledge 15 minutes

What's included

13 videos1 reading1 assignment5 plugins

13 videos Total 172 minutes

Audiobook: Module 4: Ethics in AI Governance and Risk Management 99 minutes
Podcast: Module 4: Ethics in AI Governance and Risk Management 44 minutes
4.1 Integrating Ethical Frameworks into AI Development 3 minutes
4.2 Embedded Ethical Frameworks in AI Projects 3 minutes
4.3 Conducting Ethical Impact Assessments 3 minutes
4.4 Skills to Identify Potential Ethical Issues 3 minutes
4.5 Developing Risk Mitigation Strategies 2 minutes
4.6 Techniques for Creating Actionable Plans to Address Ethical Risks 3 minutes
4.7 Establishing Transparency Protocols 2 minutes
4.8 Protocols to Document AI Decision-Making 3 minutes
4.9 AI Governance Models and Frameworks 2 minutes
4.10 Various AI Governance Models and Regulatory Frameworks 3 minutes
4.11 EY (Ernst & Young) – Navigating Ethical Challenges in AI 3 minutes

1 reading Total 10 minutes

Hands On 10 minutes

1 assignment Total 30 minutes

Quiz 4 30 minutes

5 plugins Total 75 minutes

eBook: Module 4: Ethics in AI Governance and Risk Management 15 minutes
Activity: Hotspot 15 minutes
Activity: Tab 15 minutes
Activity: Drag and Drop 15 minutes
Activity: Let's Check your Knowledge 15 minutes

What's included

15 videos1 assignment6 plugins

15 videos Total 132 minutes

Audiobook: Module 5: Data-Driven Decision-Making and Business Impact Assessment 55 minutes
Podcast: Module 5: Data-Driven Decision-Making and Business Impact Assessment 38 minutes
5.1 The Role of Data in AI Initiatives 3 minutes
5.2 How Data Informs Decision-Making Processes 5 minutes
5.3 Data Analysis Process for Data-Driven Decision making 2 minutes
5.4 Business Impact Assessment Frameworks 2 minutes
5.5 Techniques for Evaluating the Potential Impact of AI Initiatives 4 minutes
5.6 Measuring ROI from AI Investments 3 minutes
5.7 KPIs to Assess the Success of AI Projects 3 minutes
5.8 Hypothesis Testing in AI Projects Part 1 2 minutes
5.9 Hypothesis Testing in AI Projects Part 2 2 minutes
5.10 Establishing Hypotheses 4 minutes
5.11 Resource Allocation Strategies 4 minutes
5.12 Best Practices for Allocating Resources 4 minutes
5.13 H&M's Successful Measurement of ROI from AI Initiatives 2 minutes

1 assignment Total 30 minutes

Quiz 5 30 minutes

6 plugins Total 90 minutes

eBook: Module 5: Data-Driven Decision-Making and Business Impact Assessment 15 minutes
Activity: Hotspot 15 minutes
Activity: Tab 15 minutes
Activity: Chronological Order 15 minutes
Activity: Carousel 15 minutes
Activity: Let's Check your Knowledge 15 minutes

What's included

11 videos1 assignment4 plugins

11 videos Total 96 minutes

Audiobook: Module 6: Driving Organization-Wide Adoption of AI 36 minutes
Podcast: Module 6: Driving Organization-Wide Adoption of AI 36 minutes
6.1 Creating Change Management Strategies 2 minutes
6.2 Frameworks for Managing Organizational Change 3 minutes
6.3 Communicating the Value of AI Initiatives 3 minutes
6.4 Techniques to Effectively Convey Benefits to all Stakeholders 3 minutes
6.5 Addressing Resistance to Change 2 minutes
6.6 Strategies to Overcome Common Challenges 2 minutes
6.7 Metrics for Success Evaluation 2 minutes
6.8 Identifying KPIs to Assess the Effectiveness of Enterprise-wide AI Initiatives 3 minutes
6.9 Toyota’s Successful Enterprise-Wide Adoption of AI Technologies 3 minutes

1 assignment Total 30 minutes

Quiz 6 30 minutes

4 plugins Total 60 minutes

eBook: Module 6: Driving Organization-Wide Adoption of AI 15 minutes
Activity: Tab 15 minutes
Activity: Drag and Drop 15 minutes
Activity: Let's Check your Knowledge 15 minutes

What's included

13 videos1 assignment5 plugins

13 videos Total 135 minutes

Audiobook: Module 7: Leveraging Generative AI for Business Innovation 85 minutes
Podcast: Module 7: Leveraging Generative AI for Business Innovation 21 minutes
7.1 Understanding Generative AI Capabilities 2 minutes
7.2 Generative models and Their Applications 4 minutes
7.3 Identifying Areas for Innovation with Generative AI 2 minutes
7.4 Techniques to Spot Opportunities 3 minutes
7.5 Integrating Generative Solutions into Business Processes 2 minutes
7.6 Practical Steps for Incorporating Generative Technologies 3 minutes
7.7 Managing Risks Associated with Generative Applications 3 minutes
7.8 Addressing Potential Risks 2 minutes
7.9 Creating Interdepartmental Synergies with Generative AI 3 minutes
7.10 Encouraging Collaboration Across Departments 2 minutes
7.11 Leveraging Generative AI to Innovate Product Design and Enhance Customer Experience at Nike 3 minutes

1 assignment Total 30 minutes

Quiz 7 30 minutes

5 plugins Total 75 minutes

eBook: Module 7: Leveraging Generative AI for Business Innovation 15 minutes
Activity: Carousel 15 minutes
Activity: Case Study 15 minutes
Activity: Hotspot 15 minutes
Activity: Let's Check your Knowledge 15 minutes

What's included

8 videos1 reading1 assignment1 plugin

8 videos Total 108 minutes

Audiobook: Module 8: Capstone Project 72 minutes
Podcast: Module 8: Capstone Project 21 minutes
8.1 Project Overview and Objectives 3 minutes
8.2 Collaborative Work Sessions 2 minutes
8.3 Presentation Skills Workshop 2 minutes
8.4 Final Presentations and Constructive Feedback 2 minutes
8.5 Reflections on Key Takeways 3 minutes
Course Summary 3 minutes

1 reading Total 10 minutes

Hands on 10 minutes

1 assignment Total 30 minutes

Quiz 8 30 minutes

1 plugin Total 15 minutes

eBook: Module 8: Capstone Project 15 minutes

Instructor

AI CERTs Team

AI CERTs

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AI CERTs

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Frequently asked questions

This program is ideal for senior leaders, technology executives, founders, and professionals preparing for AI leadership roles.

No deep technical expertise is required. A basic understanding of AI concepts and business leadership experience is sufficient.

It focuses on strategic leadership, governance, and organizational AI adoption - not just tools or theory.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

AI for Strategic Leadership

AI for Strategic Leadership

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

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

There are 8 modules in this course

Module 1: Foundations of AI and Leadership in the Digital Era

What's included

Module 2: Crafting a Strategic AI Roadmap

What's included

Module 3: Building a High-Performance AI Team

What's included

Module 4: Ethics in AI Governance and Risk Management

What's included

Module 5: Data-Driven Decision-Making and Business Impact Assessment

What's included

Module 6: Driving Organization-Wide Adoption of AI

What's included

Module 7: Leveraging Generative AI for Business Innovation

What's included

Module 8: Capstone Project

What's included

Instructor

Offered by

Explore more from Leadership and Management

AI Leadership & Strategic Implementation

AI Policy Essentials

AI for Executives & Strategy

AI-Augmented Decision-Making for Business Leaders

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

Who is this course designed for?

Do I need a technical background to enroll?

What makes this course different from other AI leadership programs?

More questions