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Course Outline
Domain I AI Fundamentals
- Understanding of AI Fundamentals and Evolution
- Evaluating AI Applications and Patterns
- Applying Machine Learning Fundamentals
Domain II CPMAI Methodology
- Differentiating AI Project Management Approaches
- Executing the Business Understanding Phase
- Managing the Data Understanding Phase
- Coordinating the Data Preparation Activities
- Determining the Approaches for Model Development
- Conducting Model Evaluation and Maintenance
Domain III Machine Learning
- Applying Classification and Clustering Algorithms
- Implementing Neural Networks and Deep Learning
- Leveraging Generative AI and Large Language Models (LLMs)
- Selecting Machine Learning Tools and Platforms
Domain IV Data for AI
- Managing Data Fundamentals and Big Data Concepts
- Implementing Data Governance and Management
- Engineering Data Pipelines for AI
- Executing Data Preparation and Transformation
Domain V Managing AI
- Evaluating Model Performance and Accuracy
- Deploying Models for Production Environments
Domain VI Trustworthy AI
- Establishing Ethical, Responsible, and Trustworthy AI Foundations
- Implementing AI Privacy and Security
- Ensuring AI Transparency and Explainability
- Navigating AI Regulations and Frameworks
Summary and Next Steps
Requirements
-
CPMAI v7 does not require any prior work experience, technical knowledge or AI experience, certifications, or
prerequisites to enroll in the course and take the exam.
Audience
- Project, program, and product managers
- Data professionals
- Technologists, Consultants, and IT professionals
- Directors and Senior Managers leading AI initiatives
21 Hours
Testimonials (3)
The framework of BA
Puguh - PT PLN INDONESIA POWER
Course - PMI Professional in Business Analysis (PBA) Certification Preparation
Good atmosphere, good group vibe and trainers passion.
Miriam - metafinanz Informationssysteme GmbH
Course - PMP - Exam Preparation Training Course
presenting the possibilities of Trello
