
Step inside IBM’s playbook for GenAI at scale. Senior leaders break down where GenAI creates impact, how they deploy it across teams, and what success really looks like.
As an executive or business leader, determining how best to integrate AI at the enterprise level will likely be your top priority. In this short course, IBM thought leaders share their views about integrating generative AI and unlocking its full potential. Listen to their guidance and gain insights into the key areas for your organization:
In this short, self-paced course, these leaders share their views on harnessing generative AI's potential, both cross-functionally and within select domains. You will receive practical guidance on adopting AI. No prior AI background is required.
This course comprises two purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 3 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will learn about:
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

Designed by the industry for the industry so you can build job-ready skills.

Competency building and global certifications employers are actively looking for.
This course equips leaders with practical strategies to align generative AI with enterprise goals and drive measurable ROI. By hearing directly from IBM leaders, youll learn how to identify high-impact AI use cases, design an effective AI business strategy, and apply generative AI across functions such as marketing, HR, finance, and IT operations.
Youll gain executive-level frameworks for building an AI strategy for business leadersfrom preparing your data and infrastructure to selecting the right foundation models. The course also explores how a well-designed enterprise AI strategy ensures adoption at scale while addressing compliance and governance.
Executives dont need technical expertise to become effective AI strategists. This program shows you how to evaluate AI transformation in business functions, align initiatives with organizational goals, and apply responsible AI for executives to build trust and transparency.
It is a short, self-paced course where IBM thought leaders share insights on generative AI in enterprise strategy. Youll explore cross-functional applications, adoption challenges, and responsible AI practices tailored for executives and business leaders.
This course is ideal for executives, senior managers, and business leaders responsible for shaping enterprise transformation. Its designed for decision-makers looking to integrate generative AI cross-functionally and create a scalable enterprise AI strategy.
The course highlights how to select the right use cases for ROI, leverage foundation models for enterprise AI, and ensure adoption supports your overall business vision.
Youll hear IBM experts discuss how generative AI in enterprise strategy extends across marketing, HR, finance, ITOps, and FinOps, offering leaders a roadmap for cross-functional adoption.
A key focus of this course is responsible AI for executives, with insights on fairness, transparency, and regulatory readiness. Youll also learn how responsible practices strengthen long-term enterprise adoption.
Data management is central to any enterprise AI strategy. The course explains how structured and unstructured data fuel generative AI models and how leaders can ensure quality, security, and compliance across the enterprise.