Product Management: Building AI-Powered Products

Perfect for: Product managers looking to understand AI product development and integration

Key outcome: Practical understanding of AI product management, from strategy to commercialization

Prerequisites: Basic product management knowledge recommended

What Sets This Course Apart

With 78% of organizations implementing AI according to McKinsey, this focused course bridges the gap between traditional product management and AI-specific challenges. Using real-world examples like Netflix's recommendation system, you'll learn how to effectively lead AI product initiatives from conception to market.

Course Journey

1. AI Product Management Foundations

• AI product manager roles and responsibilities
• Balancing traditional and AI-specific skills
• Building and leading AI teams
• Stakeholder communication strategies

2. AI Product Development Process

• Key stages of AI product development
• Product management lifecycle integration
• Industry-specific AI use cases
• ROI measurement and analysis

3. Practical Application & Implementation

• Real-world project: City traffic flow AI system
• ROI analysis and presentation
• Commercialization strategies
• Future trends and insights

Learning Experience

• Format: Video lectures, hands-on labs, and practical assignments
• Projects: Real-world AI product development scenario
• Assessments: 7 graded assignments
• Networking: Discussion prompts for peer learning
• Tools: Access to relevant AI product management plugins

Is This Course Right For You?

✅ Consider this course if:

• You need to integrate AI into your product strategy
• You want to understand AI project success factors
• You're preparing for AI transformation initiatives
• You seek practical AI product management frameworks

⚠️ This might not be for you if:

• You're looking for technical AI/ML programming
• You need comprehensive product management basics
• You want extended hands-on mentorship
• You're seeking deep technical AI architecture knowledge

Time & Commitment

• Weekly pace: 2 hours/week recommended
• Flexibility: Complete at your own pace
• Total duration: Designed for 3-week completion
• Structure: 3 focused modules with practical assignments

Investment & Returns

• Cost structure:
• Included with Coursera Plus subscription
• 7-day free trial available
• Financial aid available for eligible students
• Career impact:
• Practical AI product management skills
• Real-world project portfolio
• Industry-relevant frameworks
• Current AI trends knowledge

Key Learning Outcomes

1. Strategic Understanding

• AI opportunity assessment
• Value proposition development
• Stakeholder communication

2. Practical Skills

• AI product lifecycle management
• Team building and coordination
• ROI analysis and measurement

3. Market Readiness

• Commercialization strategies
• Industry use case analysis
• Future trend adaptation