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Becoming AI/ML Product Manager
Rating: 3.8 out of 5(47 ratings)
1,059 students

Becoming AI/ML Product Manager

Mastering the Skills to become an AI/ML product expert
Created byAmritha Arun Babu Mysore
Last updated 3/2024
English
English [Auto],

What you'll 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

Course content

1 section • 7 lectures • 1h 29m total length

  • Introduction4:04

    Master AI/ML product management through three modules covering core principles, ideation, design, and real-world case studies. Build cross-functional collaboration and key technical competencies for leadership.

  • Module 01- Part 01 Introduction to AI/ML Product Management10:41

    Explore how AI/ML transforms product management, distinguish traditional PM from AI/ML PM, learn to identify problems suitable for AI, collaborate with data scientists, and build responsible, data-driven, scalable solutions.

  • Module 01- Part 02 Introduction to AI/ML Product Management10:54

    Explore the fundamentals of AI and ML, and how data, model types, and life cycle steps—collection, training, evaluation, deployment—drive AI solutions.

  • Module 01- Part 03 Introduction to AI/ML Product Management12:31

    Measure machine learning success with metrics like accuracy, precision, recall, and drift. Align metrics with business objectives while building ethical AI and diverse teams.

  • Module 02- Part 01 Case Study - Decluttering Gmail using AI19:27

    Becoming ai/ml product manager shows how to design ai solutions to declutter Gmail inboxes, boost engagement, and deliver personalized insights for diverse user personas.

  • Module 02- Part 02 Case Study - Decluttering Gmail using AI21:41

    Explore AI-driven Gmail decluttering with adaptive spam filtering, automated categorization and prioritization, and personalized ML-based recommendations that learn from your inbox while protecting privacy.

  • Module 03 Industry Use Cases and Self-Learning10:10

    Engage in a hands-on design lab to analyze real-world AI/ML industry use cases, design solutions with AI tools, and self-learn to strengthen your product management portfolio.

Requirements

  • While there are no strict prerequisites, a basic understanding of product management concepts and terminology would be helpful.
  • Familiarity with AI/ML at a high level is beneficial but not mandatory. The course will cover the necessary AI/ML fundamentals.
  • An openness to learning, curiosity about the AI/ML domain, and a willingness to tackle real-world problems through hands-on case studies.

Description

"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.

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.

Who this course is for:

  • Beginners with no prior product management experience who want to understand the fundamentals of AI/ML product management.
  • Familiarity with AI/ML at a high level is beneficial but not mandatory. The course will cover the necessary AI/ML fundamentals.
  • Individuals from diverse backgrounds who are interested in transitioning into the field of AI/ML product management.

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