Product Management in AI and Data Science: Bridging the Gap Between Business and Technology
Step into the future of product management with this comprehensive course focused on AI and data science. Learn how to effectively bridge the gap between business needs and technical teams, mastering the skills necessary to manage and deliver successful AI and data-driven projects. From strategy execution to team management, this course prepares you to lead in the evolving landscape of AI and data science.
Who is This For:
This course is ideal for aspiring and current product managers, business strategists, and professionals looking to specialize in AI and data science. It’s perfect for those who want to understand the unique challenges and opportunities in managing AI and data-driven projects.
What You'll Learn:
Comprehensive Overview for Product Managers in AI and Data Science: Gain a deep understanding of the product manager's role in the context of AI and data science, and learn how to navigate the unique challenges of these fields.
Bridge Business and Technical Teams: Master the art of acting as the liaison between business needs and technically oriented AI and data science personnel, ensuring successful project outcomes.
Understand Key Roles: Distinguish the roles and responsibilities of product managers versus project managers, and understand the unique demands of each in AI and data science environments.
Data Science vs. Data Analysis: Learn to differentiate between data analysis and data science, equipping yourself with the knowledge to make informed decisions in your projects.
AI Fundamentals: Understand the differences between algorithms and AI, and explore the various types of machine learning to better manage AI projects.
Execute AI and Data-Driven Business Strategy: Develop and implement effective business strategies for AI and data science initiatives, including performing SWOT analysis.
Hypothesis Building and Testing: Learn how to build and test hypotheses, a crucial skill for leading successful data-driven projects.
User Experience in AI and Data Science: Acquire the skills to design user experiences specifically tailored for AI and data science applications.
Data Sourcing and Management: Gain expertise in sourcing and managing data for your projects, understanding the full lifecycle of data from acquisition to deployment.
Manage AI and Data Science Teams: Learn the nuances of managing technically skilled AI and data science teams, improving communication and collaboration among team members.
Ethics, Privacy, and Bias: Address the critical issues of ethics, privacy, and bias in AI and data science, ensuring responsible and fair project outcomes.
Date & time:
10/30/2024 9 PM Est