Module 1: Understanding of AI Fundamentals and Evolution

Module 2: Evaluating AI Applications and Patterns

Module 3: Applying Machine Learning Fundamentals

Module 4: Differentiating AI Project Management Approaches

Module 5: Executing the Business Understanding Phase

Module 6: Managing the Data Understanding Phase

Module 7: Coordinating the Data Preparation Activities

Module 8: Determining the Approaches for Model Development

Module 9: Conducting Model Evaluation and Maintenance

Module 10: Applying Classification and Clustering Algorithms

Module 11: Implementing Neural Networks and Deep Learning

Module 12: Leveraging Generative AI and Large Language Models (LLMs)

Module 13: Selecting Machine Learning Tools and Platforms

Module 14: Managing Data Fundamentals and Big Data Concepts

Module 15: Implementing Data Governance and Management

Module 16: Engineering Data Pipelines for AI

Module 17: Executing Data Preparation and Transformation

Module 18: Evaluating Model Performance and Accuracy

Module 19: Deploying Models for Production Environments

Module 20: Establishing Ethical, Responsible, and Trustworthy AI Foundations

Module 21: Implementing AI Privacy and Security

Module 22: Ensuring AI Transparency and Explainability

Module 23: Navigating AI Regulations and Frameworks