AI+ Product Manager™
Innovate Products Faster with AI-Enabled Management
Certificate Code:
AP-250
About This Course
- Product Innovation: Leverage AI to drive product development and market fit
- Concept to Execution: Explore AI applications in real product lifecycle scenarios
- Market Advantage: Bridge the gap between tech innovation and customer needs
- Leadership Ready: Prepare for leading roles in fast-evolving product ecosystems
Certificate Overview
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 8 hours of content
Prerequisites
Basics of digital technologies, open mindset towards learning new concepts, fundamental AI/ML concepts
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Course Modules
1
Certification Overview
- Course Introduction Preview
2
Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
- 1.1 Understanding the Basics of artificial intelligence
- 1.2 Importance of AI
3
Module 2: Fundamentals of Machine Learning
- 2.1 Introduction to Machine Learning
- 2.2 Data Preparation in ML model
4
Module 3: AI Product Development Lifecycle
- 3.1 Exploring How AI Can Be Leveraged in Ideation and Conceptualization
- 3.2 Prototyping and Testing: Explore Methods for Prototyping and Testing AI-driven Products Effectively
5
Module 4: AI Ethics and Bias
- 4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the Responsibility of Product Managers
- 4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
6
Module 5: AI Implementation Strategies
- 5.1 Integration with Existing Products: Explore Methods for Integrating AI Features into Existing Products Seamlessly
- 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
7
Module 6: AI Metrics and Performance Evaluation
- 6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven Products
- 6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models and Products
8
Module 7: AI Regulation and Compliance
- 7.1 Regulatory Landscape: Explore Current Regulations and Frameworks Relevant to AI Products
- 7.2 Compliance Strategies: Develop Strategies to Ensure AI Products Comply with Regulatory Requirements
9
Module 8: Future Trends in AI and Product Management
- 8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and Product Management
- 8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to Drive Product Innovation
10
Optional Module: AI Agents for Product Management
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
AI Tools You'll Learn
ChatGPT
AI Fairness 360
Power BI
