Description
Product Management for AI & Data Science focuses on the real-world role of product managers working with artificial intelligence and data-driven systems. Led by an experienced industry professional, this training explains how AI and data science products are planned, built, tested, and scaled inside modern organizations.
Learners explore how product managers act as the bridge between business stakeholders and technical AI or data teams. Starting from the fundamentals, the material gradually introduces key concepts such as machine learning types, data sourcing, hypothesis testing, and AI product lifecycle management. The content is designed to be accessible even for those without prior experience in AI, data science, or product management.
What You’ll Learn
- Core responsibilities of a product manager in AI and data-driven environments
- How to translate business strategy into AI and data initiatives
- Differences between data analysis, data science, algorithms, and AI
- Types of machine learning and where they are applied
- How to execute AI-focused business strategy and SWOT analysis
- Hypothesis building, testing, and validation
- User experience considerations for AI-powered products
- Data sourcing, governance, and lifecycle management
- End-to-end lifecycle of AI and data projects
Who This Is For
- Aspiring product managers
- Professionals exploring AI and data-driven roles
- Beginners interested in AI, data science, or product leadership
- Anyone seeking to understand how AI products are managed in practice
Specifications
Publisher: Udemy
Instructor: 365 Careers
Language: English
Level: All Levels
Lectures: 68
Duration: 4 hours and 54 minutes
Requirements
- No prior experience required
- Concepts are taught from the fundamentals
File Size: 1.5 GB