Effective Data Science Project Management for Innovation

An introduction to innovative products, and managing these products from initiation to execution. This course is intended for aspiring product managers transitioning into AI innovation product management.

Objective

The objectives of the product management course are outlined below:

• Understand the overview of product management as applied to artificial intelligence and data science
• Learn the responsibilities of a product owner, and how to manage AI projects from initiation to execution.
• Learn how to manage project risks, conflicts, and best practices
• Learn about tools, which are successfully applied in real-world projects.

• Understand the roles and responsibilities of a product owner
• Get to know the tools that can be used for innovation projects and what they are used for.
• Learn how to manage project risk and stakeholder conflict
• Learn about Scrum masters and how to bridge the gap between scrum master and project partners.

• Basic knowledge of AI and ML is highly recommended

• Introduction to Innovation Projects (bottom-up environments)
• The Role and Responsibilities of an Innovation Product Owner
• Innovation Project Initiation and Execution (and how it differs from standard project management)
• Introduction to Innovation Project Tools
• Additional Project Support
• Project risk and conflict management
• Project Owner Best Practices
• Frequently Asked Questions