PMI - Certified Professional in Managing AI
(PMI-CPMAI)™ Certification & Training

Critical path is used to start and finish a project, but in CPMAI, it is continuously monitored rather than considered complete and done. Regarding risk, CPMAI has six phases. For example, if you are in phase 4 (model development) and realize you need better or additional data, you go back to phase 2 (data preparation) and then return to phase 4. This iterative approach reduces the probability of AI not performing well. Priority is determined in phase 1 itself.

No, you do not need any technical knowledge of AI, ML, or Generative AI for this certification. It is interesting to learn about, but prior technical knowledge is not required.

While CRISP-DM originated in the late 1970s and has not been updated since 1999, CPMAI does not use CRISP-DM as-is. It is based on the CRISP-DM framework but CRISP-DM lacks AI-centric features. PMI has built six phases on top of the CRISP-DM foundation to make CPMAI specifically applicable for AI and ML projects.

Yes, we will be providing a question bank, additional notes, and mock tests.

Yes, you need to attend, because CPMAI is different. What you learned in the PMP program focuses on general project management and is not sufficient for this specific certification. You will need to go through the training again.

CPMAI™ v7 is the main course we will be working on. CPMAI™+E v7 covers additional topics, such as ethics, and includes extra questions. Once you are certified in version 7, you can take the +E version, but it is not required.

CPMAI does not have any prerequisites.

Yes, you will receive PDUs for the CPMAI course training. If you are taking the training for CPMAI certification, the PDUs are primarily used for that certification. If you choose not to take the CPMAI exam, these PDUs can also be applied towards other PMI certifications, such as renewing your PMP.

CPMAI is relatively new, but the CPMAI framework originates from CRISP-DM, which is well-known, tested, and appreciated in the industry. Right now, there is a strong need for a framework that can streamline AI projects, and CPMAI provides exactly that. Being certified in this framework adds value, and since it is now a PMI certification, it carries recognition and credibility in the market.

CPMAI is used for AI projects, while MS Project is simply a tool to help plan and manage a project. Not every project requires CPMAI, but if your project involves creating an AI model, building a chatbot for your website, or offering a personalised shopping experience, then CPMAI is usable. Since AI is highly dependent on data, you will need to work with large amounts of data across all phases. Traditional PMP is not sufficient because it focuses on general project management, whereas CPMAI is tailored specifically for AI projects.

Yes, ethics is considered a part of governance. CPMAI also covers a topic on trustworthiness in AI practice, so ethics will definitely be discussed.

It could be around 2 to 4 days, depending on the approach. Rushing through it is not recommended, and the duration will also depend on how much participants want to learn and how deep they want to go.

Yes, it does. Model development is just the result. Beyond that, you need to continuously monitor and manage the AI project. CPMAI focuses on AI project management specifically, not general or traditional project management.

The data does not improve by itself. Any data you work on, whether it is accurate or contains errors, can be corrected, but it does not improve automatically.

No, PMP Certification is not a requirement. In fact, there is no prerequisite at all. You only need to understand the business problem.

Governance and compliance are not limited to a single phase; they span all phases of an AI project. During data collection and planning, you need to consider governance. While preparing and getting the data ready, governance and compliance remain important. During execution, aspects like data privacy and compliance must be addressed. Finally, in the evaluation phase, these elements are reviewed again to ensure they have been properly implemented. The Project Manager oversees governance and compliance throughout the entire project lifecycle.

Yes, Generative AI is one type of AI, and other, less advanced AIs also exist. All AI technologies, including Generative AI, will continue to evolve. Tools may improve or change over time.

There are no specific eligibility requirements for pursuing the CPMAI Certification.

AI projects might not be completed immediately just like all the projects. New regulations, compliance requirements, and evolving business demands will drive continuous AI projects to achieve results. AI grows and learns from the data used.

The CPMAI Framework is based on CRISP-DM and is essentially a framework built on data management. While it does include a few design thinking concepts, it is not necessarily a framework based on design thinking.

No, CPMAI is not about replacing human project managers. Instead, it equips professionals with a structured methodology to use AI effectively in project management. The goal is to improve human decision-making, efficiency, and outcomes by integrating AI.