AI transformation consultants help organizations decide where AI is worth the investment, whether they are ready, and how to make it work responsibly. This IBM Professional Certificate prepares you for that role, with no prior experience or coding required. Across seven courses, including a capstone, you learn to identify and prioritize high-value AI use cases, assess AI readiness across data, technology, and people, design a phased AI transformation roadmap, build an ROI business case, apply AI governance and risk management frameworks, and present AI strategy to senior leaders. Every course includes hands-on practice and ends with a professional deliverable. In the capstone, you create a complete AI transformation strategy for a realistic company, making and defending your own recommendations. Along the way, you see how enterprise platforms such as IBM watsonx support AI strategy, while building skills that apply to any tool.
Go beyond high-level AI strategy without needing to become an AI engineer. Learn the practical methods, frameworks, and deliverables AI transformation consultants use to evaluate opportunities and guide enterprise AI adoption. Most programs either provide executives a high-level overview or train engineers to build AI systems. This program teaches the AI strategy and AI governance roles in between.
Projet d'apprentissage appliqué
You practice on realistic business scenarios and create a professional deliverable in every course:
- An engagement scope and an advisory note that tests vendor claims
- An AI opportunity assessment with ranked use cases
- An AI readiness report
- An AI transformation roadmap and investment plan
- An ROI business case with success metrics
- An AI governance and risk plan
- An executive recommendation
All activities run in a web browser, with no software to install.
In the capstone, you create a complete AI transformation strategy for a large manufacturer. You receive a company brief and a partial data room, with some early analysis started for you. The decisions are yours: which opportunities to pursue, what the company must fix first, how to sequence and fund the work, and how to manage the risks. The data room includes realistic complications, so the strongest strategies may recommend stopping or scaling back some ideas, and explain why.
