Building a Machine Learning Ready Organization

This course provides components needed for successful organizational adoption of machine learning (ML). 

• ML strategy and use case prioritization
• Data readiness and governance basics
• ML team roles and collaboration model

• MLOps foundations for deployment

• Understand key ML adoption building blocks
• Recognize gaps in people, process, platform
• Create a basic ML adoption roadmap

• Core adoption framework overview
• Practical examples and checklists
• Planning templates or guidance steps
• Certificate of completion