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
Module 3: AI Product Development Cycle
3.1 Exploring how AI can be leveraged in ideation and conceptualisation
3.2 Prototyping and Testing: Explore methods for prototyping and testing AI-driven products effectively
Module 4: AI Ethics and Bias
4.1Understanding ethical considerations: Examine the ethical implications of AI products and the responsibility of product managers
4.2Mitigating 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: understanding 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
Optional Module: AI Agents for Product Management
1. Understanding AI Agents
2. Case Studies
3. Hands-On Practice with AI Agents
