AI Product Management Specialization
Master AI product development with focus on human-centered design and ethical considerations
Perfect for: Product managers and leaders looking to develop AI/ML products effectively and ethically
Key outcome: Ability to lead ML projects and develop human-centered AI products that balance innovation with privacy and ethics
Prerequisites: No coding required - focuses on practical understanding and management aspects
What Sets This Course Apart
This specialization uniquely bridges the gap between technical ML concepts and product management, teaching you to speak the language of data science without requiring coding skills. Created by Duke University's engineering experts, it focuses on real-world application and ethical considerations in AI product development.
Course Journey
- Machine Learning Foundations (15 hours)
- Core ML concepts and applications
- Model evaluation and interpretation
- Hands-on model training project
- Deep learning fundamentals
- Managing ML Projects (18 hours)
- Project identification and scoping
- Data science process implementation
- System design decisions
- Production deployment strategies
- Human Factors in AI (17 hours)
- Ethics in AI product development
- Privacy-focused design
- Human-centered AI experiences
- Trust building in AI systems
Learning Experience
- Format: Theory merged with industry best practices
- Projects: Three major applied learning projects:
- Building and evaluating an ML model (no coding)
- Designing and planning an ML system
- Creating human-centered AI experiences
- Support:
- Expert instruction from Duke faculty
- Peer learning community
- Industry case studies
Is This Course Right For You?
✅ Consider this course if:
- You need to collaborate effectively with data science teams
- You want to lead AI/ML product initiatives
- You're interested in ethical AI product development
- You seek practical knowledge without deep technical requirements
⚠️ This might not be for you if:
- You're looking to become a technical data scientist
- You want to focus on coding and implementation
- You need advanced ML algorithm development skills
- You're seeking purely theoretical ML knowledge
Time & Commitment
- Weekly commitment: 5 hours/week recommended
- Program structure: 3 courses over 4 months
- Flexibility: Self-paced learning
- Project work: ~15-20 hours total
Investment & Returns
- Cost structure:
- Included with Coursera Plus subscription
- 7-day free trial available
- Financial aid available for eligible students
- Career impact:
- Duke University credential
- Portfolio of AI product management projects
- Cross-functional team leadership skills
- Ethical AI development expertise
Key Skills Gained
- Machine learning fundamentals
- AI project management
- Predictive modeling understanding
- Privacy and ethics in AI
- Human-centered design
- Data science process implementation
- AI product design
- Cross-functional team leadership