AI has come to stay, and it’s important that product managers and business professionals understand how AI can be useful for enhancing product efficiency.

AI product managers ensure the development of AI products meets user needs, aligns with business goals and complies with privacy, ethics and legal standards.

If you wish you explore AI product management, here are five courses that will help you get started and cover various aspects of the field from ideation to deployment and ensure you are equipped with the skills and knowledge you need to excel.

1. AI Product Management Nanodegree (Udacity)

This comprehensive program covers all aspects of AI product management, from ideation to deployment. You’ll learn about product strategy, user research, data analysis, and machine learning algorithms. You’ll also work on real-world projects and build a portfolio of AI products.

This course covers:

• Introduction to AI in Business

• Creating a Dataset

• Building a Model

• Measuring Impact and Updating Models

Length: ~ 2 months

2. AI Product Management Specialization (Coursera)

The specialization is ideal for professionals with a background in product management or a related field. It covers key topics such as AI product strategy, data analysis, user experience, and ethical considerations. Taught by experienced instructors from Duke University, learners will gain practical experience and develop a portfolio of AI products to showcase their skills.

What you’ll learn:

• Identify when and how machine learning can be applied to solve problems.

• Apply human-centred design practices to design AI product experiences that protect privacy and meet ethical standards.

• Lead machine learning projects using the data science process and best practices from industry.

Length: ~ 1 month

3. Building AI Products — For Current & Aspiring Product Managers (Dr. Marily Nika, Maven)

This course is designed to help aspiring product managers, software engineers interested in AI and product managers who want to understand how to bring AI products to life.

What Marily will cover in 3 weeks:

• Understanding the key technical & AI concepts product managers need in order to solve user problems with smart, niche technologies.

• Strengthening & mastering the diverse skillset you will need throughout the product development lifecycle.

• Learning how to effectively partner & collaborate with scientists, engineers and key stakeholders day-to-day while executing on your roadmap.

• Adopting a product-mindset & user-first perspective throughout the AI product development lifecycle.

• Be able to train models end-to-end, and understand the technical concepts behind model training.

• Strengthening your analytical skills, metrics-driven approach & insight-driven decision-making.

• You will get to do live mock interviews with PMs in the industry.

Length: 3 weeks

4. Product Management for AI & Data Science (Danielle Thé, 365 Data Science)

This course covers everything you need to know from how to identify business opportunities to leverage AI and steps for ethical data preparation. It covers the structure of AI and data teams and how to communicate with stakeholders. It takes you from idea and evaluation to building tests and iterating AI and data-driven products.

What You’ll Learn

• Understand the product manager’s role.

• Distinguish between product management and project management.

• Discover when a company needs to use AI.

• Apply various product ideation techniques.

• Build models for developing solutions in your organization.

• Improve communication between team members and stakeholders.

This course is also available on Udemy.

Length: ~ 1 month

5. Managing AI-based Software Products (Educative)

This course covers modern product management techniques and fundamentals of AI, how to create great AI products and how they can benefit your organisation at this time when AI is being integrated into several products.

Learning Objectives

• Practical knowledge of product management and lean startup methodology to solve software-related problems.

• An understanding of the fundamentals of AI along with the practices to create responsible AI solutions.

• Ability to develop and present a compelling AI business case for your project.

• Ability to deploy and maintain AI models in production.

Length: ~ 2 months

More articles to come on how to kick off your AI Product Management journey and help you thrive.