GenAI for Project Managers | Resources

Updated: Feb 3

Online Video Courses

1. Google Cloud Skills Boost - Introduction to Generative AI Learning Path

This learning path, managed by Google Cloud, offers an introductory insight into generative AI. It encompasses various courses, including fundamentals of large language models, an overview of generative AI, and responsible AI principles. The path aims to enhance understanding and practical application of AI concepts in real-world scenarios. Url - Generative AI Learning Path

2. Harvard University's Data Science: Machine Learning Course on edX

This online course covers key concepts such as training data, cross-validation, and various machine learning algorithms. The course, designed to be self-paced over 8 weeks with 2-4 hours of weekly commitment, is part of Harvard's Professional Certificate Program in Data Science. It's ideal for learners seeking to understand machine learning's role in data science, with emphasis on practical application through a project-based approach. Participants can choose to audit the course for free or opt for a verified certificate for $149. For more details visit Data Science: Machine Learning

3. Duke University's AI Product Management Specialization on Coursera

This specialized program, offered by Duke University on Coursera, provides a comprehensive introduction to AI Product Management. It is designed to impart foundational knowledge about how machine learning works and its practical applications. The specialization is structured to be accessible to professionals from various industries and functions, including product managers and engineering team leadersThe specialization is beneficial for professionals aiming to understand the application of AI in product management and for those seeking to lead cross-functional teams in machine learning projects. For more information, you can visit AI Product Management

4. Foundational Generative AI – Video Series

A dynamic learning environment in the fascinating topic of generative artificial intelligence is provided by the Generative AI Community Edition course. This course, which focuses on community participation, offers thorough insights into generative models and different frameworks, investigating the production of text and visual material produced by AI. Link to the Course Foundational Generative AI

5. Generative AI for Beginners

Generative AI for Beginners"is an educational resource hosted on GitHub by Microsoft. This course offers a comprehensive introduction to Generative AI, targeting beginners in the field. It covers fundamental concepts and applications of Generative AI, providing a solid foundation for those new to this area of artificial intelligence. The course is designed to be accessible and engaging, making it a valuable learning tool for individuals seeking to understand and apply Generative AI in various contexts. You can explore the course in detail here - A 12 Lesson course teaching everything you need to know to start building Generative AI applications

6. AI, Machine Learning & Chatbots for Product Managers

A video playlist from Product School Link to the series

Generative AI Top books

1. Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play by David Foster

This book provides a practical introduction to generative deep learning, offering step-by-step guidance on creating models that can generate original content. It's suitable for readers who have some understanding of machine learning and are interested in exploring creative applications of AI.

2. Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

While not solely focused on generative AI, this book is a foundational text in deep learning. It covers a range of topics including generative models, making it a must-read for anyone serious about understanding the underlying principles of AI technologies.

3. AI Superpowers: China, Silicon Valley, and the New World Order" by Kai-Fu Lee

This book offers a compelling look at the future of global technology, focusing on the race in AI between China and the United States. Written by Kai-Fu Lee, a prominent figure in the global AI community, it provides insights into how AI will shape the future of business and the global economy. It's particularly suitable for business leaders and managers who want to understand the broader impact of AI technologies like generative AI on international business and industry trends.

4. Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World" by Marco Iansiti and Karim R. Lakhani

This book is specifically tailored for business leaders and managers. It explores how AI is transforming business models and offers a framework for thinking about AI strategy in organizations. The authors, both of whom are Harvard Business School professors, provide insights into how companies can leverage AI technologies, including generative AI, for competitive advantage.

5. The Hundred-Page Machine Learning Book by Andriy Burkov

Though not exclusively about generative AI, this book offers a concise overview of key machine learning concepts, including generative models. It's an excellent quick-reference guide for understanding the broader context in which generative AI operates.