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AI Product Management
YOUR PATHWAY TO SUCCESS
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Course Duration
5 Days
Course Details
This intensive 5-day course provides a comprehensive understanding of the unique challenges and opportunities of AI product management. Participants will learn how to build and manage AI-powered products, focusing on key aspects such as data acquisition, model development, and user experience. The course covers topics such as AI ethics, explainable AI, and product roadmap development for AI products. Real-world examples will illustrate the best practices of successful AI product companies.
This course emphasizes practical application and real-world scenarios. Participants will analyze case studies of successful and unsuccessful AI products, learn how to develop AI product strategies, and understand how to manage the unique lifecycle of an AI product. We’ll explore various AI product management tools and techniques, learn how to measure AI product performance, and understand how to build and scale AI products effectively. By the end of this course, participants will be equipped with the skills needed to manage AI products successfully.
By the end of this course, learners will be able to:
- Understand the fundamentals of AI and machine learning.
- Develop an AI product strategy.
- Manage the AI product lifecycle.
- Address AI ethics and explainability.
- Measure AI product performance.
- AI product managers
- Product owners working on AI products
- Data scientists and engineers
- Anyone interested in learning about AI product management
Course Outline
5 days Course
- Introduction to AI and Machine Learning:
- What is AI? Definition, types, and applications.
- Machine learning fundamentals: Supervised, unsupervised, and reinforcement learning.
- AI product development lifecycle.
- Case study: Analysis of a successful AI product.
- AI Product Strategy:
- Identifying AI product opportunities.
- Defining the target audience and user needs for AI products.
- Developing an AI product vision and strategy.
- Practical exercise: Developing an AI product strategy for a specific market.
- AI Product Development:
- Data acquisition and preparation for AI models.
- Model development and evaluation.
- Integrating AI models into products.
- Practical exercise: Designing an AI product architecture.
- AI Product Development:
- AI Product Measurement and Iteration:
- Measuring AI product performance.
- Iterating on AI models based on user feedback and data.
- Scaling AI products effectively.
- Practical exercise: Developing a measurement plan for an AI product.
- AI Product Measurement and Iteration:
Office Efficiency, Problem-Solving & Best Practices
- Case Study:“Crisis in the Office – A Scheduling Nightmare” – Solving a real-world administrative challenge.
- Handling office emergencies and last-minute changes.
- Supporting management and working collaboratively with teams.
- Evaluating office efficiency and implementing improvements.
- Hands-on Activity: Group exercise on solving workflow bottlenecks in an office setting.
