Machine Learning Essentials for Business and Technical Decision Makers

In this course curriculum, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the appropriate solution to a business problem, and describes what components are needed for a successful organizational adoption of ML.

• Use case selection and prioritization
• Requirements and feasibility assessment
• Designing an ML operating model

• Planning MLOps and governance basics

• Build a practical ML adoption roadmap
• Decide when ML fits a problem
• Identify adoption components and gaps

• Best practice frameworks and recommendations
• Business integration roadmap guidance
• Certificate of completion