AI Product Management Learning Path

CS50s Introduction to Programming with Python

The original Stanford ML course taught by Andrew Ng

Part of the Competitive Strategy and Organization Design Specialization, this course delves into how companies can build and maintain their customer base. Topics include increasing switching costs, strategic customer lock-ins, price discrimination, and product differentiation strategies. It will equip you with skills in competitive analysis, market analysis, and business strategy.

While not a technical course, this highly-rated course by Andrew Ng explains the business aspects of AI and touches upon the importance of data and statistical thinking in building AI systems.

This course from Google Cloud is designed for business professionals who want to understand how machine learning can be applied to solve business problems. It covers key concepts and use cases of machine learning, including regression.

This program prepares you for a career as an AI Product Manager, covering key skills like stakeholder engagement, Agile methodologies, and AI fundamentals. A dedicated module, 'Product Management: Foundations & Stakeholder Collaboration', focuses on communication and collaboration skills.

This specialization from the University of Colorado Boulder covers various aspects of business analytics, with a strong emphasis on statistical modeling and data-driven decision making.

This specialization provides a foundational understanding of how machine learning works, and when and how it can be applied to solve problems. Learners will build skills in applying the data science process and industry best practices to lead machine learning projects, and develop competency in designing human-centered AI products which ensure privacy and ethical standards.

This specialization covers how data analytics is used to make business decisions and includes components of data exploration and visualization.

A comprehensive specialization from UC Davis that covers the theory behind search engine algorithms and practical skills for optimizing website content. It includes modules on on-page and off-page optimization, keyword research, and aligning SEO with business strategies.

Generative AI for Business Leaders

AI for Business: Complete Course for Business Leaders

Machine Learning for Business Analytics

This course covers Support Vector Machines (SVM) from basic to advanced kernel-based models. It is designed for those who want to apply machine learning to real-world business problems and includes topics like hyperparameter tuning and model performance evaluation.

Learn Support Vector Machines in R Studio, from basic SVM models to advanced kernel-based SVM models. This course is for those who want to apply machine learning to real-world business problems using the R programming language.

A comprehensive bootcamp for aspiring AI engineers that covers key AI concepts, Python programming for AI, and leveraging powerful tools like LangChain and Hugging Face. The course includes real-life business case studies.

A comprehensive guide to over 50 generative AI tools to enhance business productivity and creativity, with a focus on ChatGPT and prompt engineering.

This course focuses on applying time series analysis to real-world business problems. You will work on projects like predicting temperature, COVID-19 cases, and stock prices.

AI for Product Managers