- Introduction
- 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
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
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.
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About the instructors
- 5 Calificación
- 707 Estudiantes
- 1 Cursos
Amritha Arun Babu Mysore
AI/ML Product Instructor
Amritha is an accomplished technology leader with over 12 years of experience spearheading product innovation and strategic initiatives at both large enterprises and rapid-growth startups.
Leveraging her background in engineering, supply chain, and business, Amritha has led high-performing teams to deliver transformative solutions solving complex challenges. She has driven product road mapping, requirements analysis, system design, and launch execution for advanced platforms in domains like machine learning, logistics, and ecommerce.
Throughout her career, Amritha has been relied upon to envision the future, mobilize resources, and achieve business success through technology. She has been instrumental in helping shape product strategy across diverse sectors including retail, software, semiconductor manufacturing, and cloud services.
Amritha excels at understanding diverse customer needs and leading data-driven efforts that maximize value delivery. Her passion and talents have led to her spearheading many greenfield projects taking concepts from ideation to national scale within aggressive timeframes.
With her balance of technical depth, business acumen, and bold leadership, Amritha is an invaluable asset ready to tackle dynamic challenges and capitalize on new opportunities. She is a principled, solutions-focused leader committed to empowering people, organizations, and ideas.
Student feedback
Course Rating
Reviews
It’s a great AI ML product manager course for beginner and intermediate PM experience folks.