Udemy

PMI-CPMAI™ 2026 Exam Preparation Course (Includes CPMAI v8)

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  • 585 Students
  • Updated 3/2026
4.2
(117 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 54 Minute(s)
Language
English
Taught by
Cornelius Mellino Sarungu
Rating
4.2
(117 Ratings)
6 views

Course Overview

PMI-CPMAI™ 2026 Exam Preparation Course (Includes CPMAI v8)

Mastering Artificial Intelligence Project Management for PMI-CPMAI™ Certification | Pass the exam on the first try!

Note: Great news! Some of our students already passed the exam on first attempt, and they said the content of this course is helping them achieve the target.


NEW UPDATES! (Mar 2026) :

1. Chapter 4, 5, and 14 are already upgraded to CPMAI v8 with new voice over tech, more natural and human-like.

2. Adding Chapter 04A, covering more detailed content for Seven AI Patterns.

3. Mock exams (2 sets) already added!


PMI-CPMAI™ Exam Preparation Course

Course Overview

  • Designed to prepare professionals to successfully pass the PMI-CPMAI™ (Certified Professional in Managing Artificial Intelligence) exam

  • Builds both exam readiness and practical capability to manage AI initiatives effectively

  • Bridges AI technologies with proven project management methodologies

  • Focuses on applying AI in real-world project, program, and business contexts

What You Will Learn

  • PMI-CPMAI™ methodology and lifecycle

  • Types of AI and ML relevant to project and product development

  • AI-driven project planning and decision-making

  • Predictive analytics for risk, schedule, and performance management

  • Key metrics for AI projects, including model performance and business impact

  • Data pipelines, model pipelines, and retraining workflows

  • Data drift and model drift: detection, monitoring, and mitigation

  • Ethical, responsible, and explainable AI (XAI)

  • Governance, controls, and compliance considerations in AI initiatives

  • Emerging AI trends and their implications for modern project management

Course Approach

  • Aligned with the PMI-CPMAI™ exam blueprint

  • Combines:

    • Conceptual foundations

    • Practical examples and case discussions

    • Analytical and problem-solving exercises

  • Progresses from foundational AI concepts to advanced AI project management practices

  • Emphasizes decision-making, accountability, and value realization in AI projects

Why Choose This Course

  • Exam-aligned: Directly mapped to PMI-CPMAI™ certification requirements

  • Practical focus: Goes beyond theory to real AI project challenges

  • Business-oriented: Connects AI metrics and outcomes to organizational value

  • Ethics-first mindset: Strong emphasis on responsible and explainable AI

  • Future-ready: Addresses emerging trends and evolving AI risks

  • Career-enhancing: Prepares you to lead AI initiatives with confidence and credibility

  • Regular updates on the content: Materials are regularly reviewed and improved.

By the End of This Course, You Will...

  • Be fully prepared to pass the PMI-CPMAI™ certification exam

  • Understand how to plan, govern, and manage AI projects end-to-end

  • Apply AI metrics and analytics to measure success and manage risk

  • Design and oversee data and model lifecycle processes

  • Identify and manage data drift, model drift, and retraining needs

  • Apply ethical, responsible, and explainable AI principles in projects

  • Confidently collaborate with data scientists, engineers, and business stakeholders

  • Lead AI-enabled projects that deliver measurable and sustainable business value

Additional features:

  • Flashcards (14 sets)

  • CPMAI v8 Exam tips

  • Mock Exams (2 sets)

This course contains the use of artificial intelligence.

  • Translation/dubbing: AI-powered translation services or voice cloning for multi-language versions.

Course Content

  • 26 section(s)
  • 170 lecture(s)
  • Section 1 Introduction to PMI-CPMAI
  • Section 2 What is AI
  • Section 3 The Application of AI
  • Section 4 Best Practices and Methodologies for Successful AI Implementation
  • Section 5 Business Understanding - Best Practices for AI Project Success
  • Section 6 Business Understanding - Seven AI Patterns
  • Section 7 Machine Learning Fundamental Concepts
  • Section 8 Machine Learning Algorithms - Part 1
  • Section 9 Machine Learning Algorithms - Part 2
  • Section 10 Generative AI, Transformers, and Large Language Models
  • Section 11 Managing Data for AI
  • Section 12 CPMAI Phase II Data Understanding
  • Section 13 Data Preparation for AI
  • Section 14 CPMAI Phase III Data Preparation
  • Section 15 ML Development Tools and Platforms
  • Section 16 Phase IV - Model Development
  • Section 17 Model Evaluation and Testing
  • Section 18 Phase V - Model Evaluation
  • Section 19 Model Operationalization
  • Section 20 Phase VI - Model Operationalization
  • Section 21 Trustworthy AI
  • Section 22 CPMAI v8 - GenAI Implementation with PMI-CPMAI
  • Section 23 CPMAI v8 - Managing Agentic AI with PMI-CPMAI
  • Section 24 Flashcards & Exam Tips
  • Section 25 PMI-CPMAI EXAM TIPS - How to prepare for the exam and PASS ON THE 1st TRY!
  • Section 26 Mock Exams

What You’ll Learn

  • Understand Core AI and Project Management Concepts: Participants will master the fundamental principles of artificial intelligence (AI) and its applications., Master Skills for CPMAI Certification: Participants will be prepared to pass the Certified Project Management in Artificial Intelligence (CPMAI) exam., Apply AI in Project Management: Participants will learn how to integrate AI solutions to enhance efficiency, decision-making, and risk management in projects., Develop Analytical and Problem-Solving Skills: Participants will be able to analyze project requirements, design AI-driven strategies, & solve complex problem.


Reviews

  • A
    Abhijit Pradeep
    3.0

    The course content is generally well explained and presented. However, the alignment between the AI-generated slides and the AI voiceover needs improvement. There are instances of mispronunciations and occasional mismatches between the slide content and the narration. Additionally, the use of abbreviations without clear explanation can be distracting for learners. The voiceover often introduces extra explanations that draw attention away from the visual aids, creating a disconnect and reducing the overall effectiveness of the learning experience.

  • J
    Jedo Ali
    4.0

    Content overall good. The only thing I would recommend to improve on is the AI voice deliver.

  • A
    Anand Godbole
    3.0

    Human voice is required... this is made by AI .. to much monotonous course. ... 3 star for good content but overall delivery is not good.

  • L
    Lim Wai Yio
    5.0

    This course has the depth by providing explanation and real world examples for most of the topics. This helps in articulating the topics while going through the tutorial. This also shows that the tutor made good effort in compiling all these information for the learners. Each section come with small quiz to test your understanding which is good. So far this is the best one.

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