CPMAI v7: AI & ML Project Management Training & Certification

Course Content

Description

CPMAI v7.0 Introduction & Welcome

Complete overview of certification program objectives and learning journey.

What is Artificial Intelligence

Foundational exploration of AI concepts, technologies, and transformative potential.

Applications of AI

Practical insights into real-world AI implementations across diverse industry sectors.

Best Practices & Methodologies for Successful AI Implementation

Strategic framework for implementing structured and effective AI project management approaches.

CPMAI Phase I: Business Understanding

Systematic approach to defining project scope, objectives, and organizational AI readiness.

Machine Learning Fundamental Concepts

Core principles and theoretical foundations of machine learning algorithmic development.

Machine Learning Algorithms – Part I

Comprehensive exploration of fundamental machine learning algorithmic strategies.

Machine Learning Algorithms – Part II: Neural Networks & Deep Learning

Advanced techniques in neural network architecture and deep learning implementation.

Generative AI, Transformer Models, and Large Language Models (LLMs)

Cutting-edge exploration of generative AI technologies and transformative language models.

Managing Data for AI

Strategic approaches to data collection, management, and preparation for AI projects.

CPMAI Phase II – Data Understanding

Methodological framework for comprehensive data analysis and interpretation.

Data Preparation for AI

Techniques for cleaning, transforming, and optimizing datasets for machine learning.

CPMAI Methodology Phase III: Data Preparation

Structured process for preparing high-quality, reliable data for AI model development.

Machine Learning Development Tools & Platforms

Overview of leading technological platforms and development environments for AI projects.

CPMAI Methodology Phase IV: Model Development

Systematic approach to designing and developing advanced machine learning models.

Model Evaluation and Testing

Comprehensive strategies for assessing and validating machine learning model performance.

CPMAI Methodology Phase V: Model Evaluation

Rigorous methodological framework for critical model assessment and refinement.

Model Operationalization

Practical techniques for deploying and integrating machine learning models into production.

CPMAI Methodology Phase VI: Model Operationalization

Strategic approach to implementing and scaling AI solutions across organizational contexts.

Trustworthy AI Concepts

Exploration of ethical considerations, bias mitigation, and responsible AI development principles.