AI+ Product Manager (AIPRM) – Perfil
Esquema Detallado del Curso
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 Responsibility of Product Managers
- 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 Products Seamlessly
- 5.2 Stakeholder Management: Understand How to Communicate AI Initiatives Effectively with Stakeholders and Gain their Support
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
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
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