The Product Management for AI

Overview

Are you looking to dive into the world of product management for AI and Data Science? This beginner-friendly course is the perfect opportunity to learn from an experienced professional, Danielle Thé, a Senior Product Manager for Machine Learning with an impressive background in the tech industry. As companies increasingly rely on big data and AI, product managers play a crucial role in bridging the gap between business needs and technical data science personnel. By taking this course, you’ll be well-positioned to rise to the challenge and lead businesses into a new and exciting future.

The course is structured to bring you up to speed, starting with an introduction to product management for AI and data, followed by key technological concepts and fundamentals. As you progress through the course, you’ll explore business strategy, user experience, and data management. You will also gain a holistic understanding of the full lifecycle of an AI or data science project within a company. Towards the end of the course, you’ll learn valuable skills such as managing data science and AI teams, improving communication and tackling ethics, privacy, and bias. Don’t miss this amazing opportunity to prepare for an exciting and well-paid career as a Product Manager in the AI and Data Science fields! Let’s start learning together now!

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Skills you’ll learn

1. Understanding the role and responsibilities of a product manager in AI and data science.
2. Grasping key technological concepts such as machine learning, deep learning, and different types of algorithms.
3. Developing business strategies for AI and data implementation, including SWOT analysis and hypothesis testing.
4. Enhancing user experience by identifying core problems, conducting user research, and developing personas.
5. Mastering data management, including sourcing and managing data for various machine learning projects.
6. Managing the full lifecycle of AI and data science projects, from product development to deployment.
7. Effectively leading and communicating with data science and AI teams to ensure project success.
8. Addressing ethical considerations, privacy concerns, and potential biases in AI and data science projects.

Summary

Discover the popular Product Management for AI & Data Science course, brilliantly led by the talented duo 365 Careers and Danielle Thé! Join an ever-growing community of 17,296 satisfied students and immerse yourself in 67 insightful lessons. With an impressive 4.5 out of 5-star rating, embark on an enlightening learning journey that’s sure to enhance your expertise in the field.