AI Product Manager Training helps professionals understand how AI capabilities are translated into practical products that solve real business problems. The course explores product discovery, AI solution evaluation, stakeholder collaboration, product delivery, performance measurement, and governance considerations, preparing learners to manage AI-enabled products throughout their lifecycle.
Prerequisites:
- Basic understanding of product development lifecycle
- Familiarity with software or digital products
- General awareness of AI/ML concepts is helpful but not required
What You Will Learn:
- Understand how AI impacts product strategy and development
- Identify and evaluate AI opportunities in products
- Collaborate with data science and engineering teams
- Define AI product requirements and manage data workflows
- Design user-centered AI features and interfaces
- Ensure ethical, legal, and compliant use of AI in products
- Measure and iterate AI product performance
Tools and Technologies Covered
- AI & Machine Learning Platforms (TensorFlow, PyTorch, Hugging Face)
- Generative AI Tools (ChatGPT, GPT models)
- Data Analytics & Visualization (Tableau, Power BI)
- Product Management Tools (Jira, Trello, Asana)
- MLOps & AI Project Lifecycle Tools (MLflow, Dataiku)
- Prototyping & No-Code AI Tools (Figma, Bubble, Lobe)
- Customer Feedback & Analytics Tools (Qualtrics, Hotjar)
- A/B Testing & Experimentation Platforms
- Collaboration & Workflow Tools (Slack, Confluence, Notion)
- Cloud AI Platforms (AWS AI/ML, Azure AI, Google Cloud AI)
