Cloud Machine Learning Foundations Module

Machine learning provides the underlying framework for many advanced technological solutions, from predictive analytics to automated decision-making and artificial intelligence. Understanding these concepts will equip you with the skills needed to develop and implement machine learning models to solve complex business problems.

In this course, you will gain hands-on experience in building, training, and deploying machine learning models. You will also explore the emerging field of generative AI through practical exercises.

What you will learn:

• to describe the principles and concepts of machine learning
• how to implement a machine learning pipeline
• how to utilize machine learning services for various applications such as forecasting, computer vision, and natural language processing
• how to understand the basics of generative AI and its applications

By the end of this module, you will be able to:

• design and deploy machine learning models to solve business problems
• process and prepare data for machine learning tasks
• evaluate and optimize machine learning models for better performance
• implement machine learning solutions for real-world applications

Teaching methods

This course is fully online and self-paced. Learning materials consist of pre-recorded lecture videos and hands-on lab exercises. This is complemented by multiple-choice knowledge checks to ensure comprehensive understanding.

Intended audience

This introductory course is intended for students interested in pursuing a career in data science, machine learning, and artificial intelligence. To ensure success in this course, students should have:

• completed an introductory cloud computing course
• experience scripting with Python or equivalent
• a basic understanding of statistics