Mastering the Skills to become an AI/ML product expert

What you will learn

Understand the fundamental differences between traditional product management and AI/ML product management. Learners will grasp the unique technical and ethical

Gain hands-on experience in applying product management principles to solve a real-world problem using AI/ML technologies. Through the Gmail case study, learner

Acquire self-learning techniques to expand AI/ML technical knowledge. Learners will develop the ability to self-teach various AI/ML concepts by working through

Learn how to effectively collaborate with cross-functional teams, particularly data scientists and engineers, to successfully deliver AI/ML products. Learners w


“Becoming an AI/ML Product Manager” is an immersive and transformative course designed to empower professionals with the essential skills and knowledge needed to excel in the rapidly evolving field of AI/ML product management. Led by industry expert Amritha Arun Babu Mysore, this course provides a comprehensive exploration of the core principles, techniques, and best practices required to successfully ideate, develop, and launch AI/ML-driven products.

Through a carefully curated curriculum, learners will gain a deep understanding of the unique challenges and opportunities presented by AI/ML technologies. The course covers a wide range of topics, including AI/ML fundamentals, product strategy, ethical considerations, and real-world problem-solving techniques. Learners will dive into the intricacies of algorithms, supervised and unsupervised learning, deep learning, and model evaluation, gaining the technical knowledge necessary to effectively communicate with data scientists and engineers.

The course places a strong emphasis on practical application, featuring hands-on case studies and industry use cases that allow learners to apply their newfound skills to real-world scenarios. By working through a comprehensive case study on decluttering Gmail, learners will gain firsthand experience in identifying user pain points, defining core user personas, exploring AI/ML solutions, and measuring the success of their implementations.

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Throughout the course, Amritha shares her extensive expertise in building ethical and responsible AI products, ensuring that learners are well-equipped to navigate the complex landscape of AI/ML development with integrity and accountability. Learners will gain insights into best practices for data collection, model transparency, fairness, and user privacy, enabling them to create AI/ML products that are not only innovative but also socially responsible.

By the end of this course, learners will have developed a robust toolkit of skills and knowledge that will enable them to confidently lead the development of AI/ML products from ideation to launch. They will be prepared to drive innovation, collaborate effectively with cross-functional teams, and create intelligent products that solve real-world problems and deliver meaningful value to users.

Whether you are a seasoned product manager looking to upskill in AI/ML, a professional seeking to transition into the AI/ML domain, or an aspiring product manager eager to make your mark in the age of intelligent products, “Becoming an AI/ML Product Manager” is the ultimate launchpad for your journey. Join Amritha Arun Babu Mysore on this transformative learning experience and unlock your potential to become a visionary leader in the exciting world of AI/ML product management.



Becoming AI/ML Product Manager

Module 01- Part 01 Introduction to AI/ML Product Management
Module 01- Part 02 Introduction to AI/ML Product Management
Module 01- Part 03 Introduction to AI/ML Product Management
Module 02- Part 01 Case Study – Decluttering Gmail using AI
Module 02- Part 02 Case Study – Decluttering Gmail using AI
Module 03 Industry Use Cases and Self-Learning