The aim of this course is to provide learners with a comprehensive understanding of Machine Learning (ML) and Artificial Intelligence (AI), its fundamental principles, techniques, and its real-world applications. Through this course, learners will gain the necessary knowledge and skills to effectively navigate the rapidly evolving landscape of ML and AI.

The course aims to help the learner understand:
• Fundamental concepts of Machine Learning, Artificial Intelligence, and Deep Learning
• Differentiate between Traditional Programming and Machine Learning
• Explain Machine Learning’s life cycle and its importance
• Advantages of Machine Learning
• Machine Learning Workflow, applications, and use cases
• Machine Learning and its various algorithms

Prerequisites:
Basic computing and data management skills

Target Audience:
Executives, Programmers, Data Scientists

Assessment:
Upon completing this course, you will have the opportunity to assess your knowledge and skills through a comprehensive assessment.
Please note, that this is a multiple-choice question assessment with two attempts to pass within a stipulated timeline.