Course Prerequisites:
Understanding the basics of digital technologies and their influence on various aspects of professional life Interest in learning about the integration of AI technologies within product development Participants should have an open mindset towards learning new concepts and technological developments.
Modules:
Module 1: Introduction to Artificial Intelligence (AI) for Product Managers
1.1 Understanding the Basics of Artificial Intelligence
1.2 Importance of AI
Module 2: Fundamentals of Machine Learning
2.1 Introduction to Machine Learning
2.2 Data Preparation in ML model
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
Module 4: AI Ethics and Bias
4.1 Understanding Ethical Considerations: Examine the Ethical Implications of AI Products and the
4.2 Mitigating Bias: Learn Strategies to Identify and Address Bias in AI Algorithms and Products
Module 5: AI Implementation Strategies
5.1 Integration with Existing Products: Explore Methods for Integrating AI Features Into Existing
5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with
Module 6: AI Metrics and Performance Evaluation
6.1 Key Performance Indicators (KPIs): Identify Relevant Metrics for Measuring the Success of AI-driven
6.2 Performance Evaluation Techniques: Learn Methods for Evaluating the Performance of AI Models
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
Module 8: Future Trends in AI and Product Management
8.1 Emerging Technologies: Discuss Upcoming Trends and Technologies Shaping the Future of AI and
8.2 Strategic Planning: Learn How to Anticipate and Adapt to Future Changes in the AI Landscape to