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AI Product Manager

Nanodegree Program

The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business. It covers the basics of AI, creating a business case for AI, and measuring success. Learners will also learn to create a high-quality dataset, design annotation instructions, and build a medical imaging classification system. The program covers building and training AI models, evaluating results, and measuring impact. The capstone project involves developing a business proposal for an AI product, defining success metrics, scoping the dataset, planning model development, and building a monitoring plan.

The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business. It covers the basics of AI, creating a business case for AI, and measuring success. Learners will also learn to create a high-quality dataset, design annotation instructions, and build a medical imaging classification system. The program covers building and training AI models, evaluating results, and measuring impact. The capstone project involves developing a business proposal for an AI product, defining success metrics, scoping the dataset, planning model development, and building a monitoring plan.

Beginner

2 months

Real-world Projects

Completion Certificate

Last Updated May 15, 2024

Skills you'll learn:
Dataset annotation • Product prototyping • Model evaluation • Product goals
Prerequisites:
Basic descriptive statistics

Courses In This Program

Course 1 3 hours

Introduction to AI in Business

Learn the foundations of AI and how these technologies can learn from data and improve or inform product development.

Lesson 1

Welcome!

Welcome to this course on AI for Product Managers! Learn about the course structure and resources available to you.

Lesson 2

Introduction to AI and Machine Learning

Get an overview of AI and machine learning and where they are used in industry. This lesson covers terminology and applications of supervised learning, unsupervised learning, and neural networks.

Lesson 3

Using AI and Machine Learning in Business

How do you build a successful AI product? Learn which kinds of narrow business cases can stand to benefit the most from machine learning, and identify the components of an effective, AI product team.

Course 2 3 weeks

Creating A Dataset

Build a custom data annotation job to create novel datasets.

Lesson 1

Data Fit and Annotation

Learn how data can affect the performance of a machine learning model and see how to create your own labeled dataset using Appen's annotation platform.

Lesson 2 • Project

Project: Create a Medical Image Annotation Job

Given a dataset and business goal, design your own data labeling job using Appen’s platform.

Course 3 3 weeks

Build A Model

Learn how to train and evaluate a neural network using automated machine learning tools.

Lesson 1

Training and Evaluating a Model

Learn strategies for training a model from scratch or using transfer learning. Evaluate a model using machine learning tools, such as AutoML.

Lesson 2 • Project

Project: Build a Model

Build a classification model to classify images of chest xrays using Google AutoML, an automated machine learning tool.

Course 4 3 weeks

Measuring Impact and Updating Models

As a product manager, you should be constantly looking to improve your machine learning models and product; learn strategies to mitigate bias, scale a product, and continuously update a model.

Lesson 1

Introduction to Measuring Impact and updating Models

Introduction to the Measuring Impact and Updating Models course.

Lesson 2

Measuring Business Impact & Mitigating Bias

Learn best practices for measuring model success, strategies for mitigating unwanted bias in a model, and scaling an AI product so that it's available to a large audience.

Lesson 3

Case Study: Video Annotation

Review an end-to-end, AI product development cycle from solution ideation to prototyping and testing and finally, product launch (and continuous improvement) for a video annotation product.

Lesson 4 • Project

Project: Creating an AI Product Business Proposal

Complete a proposal for a complete AI product of your own design; consider users, data source, design practices, and iteration over time.

Taught By The Best

Photo of Kirsten Gokay

Kirsten Gokay

Product Manager at Appen

Kirsten received her Bachelor's degree in Linguistics from UC Davis. With a background in Customer Success, she's passionate about solving complex problems with easy-to-use products.

Photo of Meeta Dash

Meeta Dash

VP of Product at Appen

Meeta Dash is VP of Products at Appen, which builds AI products to help enterprises solve real world use cases. An NIT India BTech and UCDavis MBA, she's built AI and Voice/Video products at Cisco, Tokbox and CA.

Photo of Alyssa Simpson-Rochwerger

Alyssa Simpson-Rochwerger

VP of AI and Data at Appen

Alyssa is a customer-driven product leader with proven experience in scaling products from conception to large-scale ROI. As Director of Product Management at IBM Watson, she oversaw the development of a large portfolio of AI products.

Photo of Andrea Butkovic

Andrea Butkovic

Product Manager at Appen

Andrea Butkovic is a product manager focused on creating machine learning powered annotation tools for AI teams at Appen. Andrea has a degree in Geography from UC Berkeley with a focus in Cartography.

Photo of Kiran Vajapey

Kiran Vajapey

Senior HCI Developer at Appen

Kiran Vajapey is an HCI Developer working on creating new products and interfaces to advance AI in industry. Kiran has a Master's in CS from Cornell and has previous experience in HR Tech, Fintech, and product architecture.

Ratings & Reviews

Average Rating: 4.4 Stars

268 Reviews

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About AI Product Manager

In our AI Product Manager Nanodegree program, you'll immerse yourself in the world of AI and machine learning tailored for business. This beginner-friendly course covers the essentials of AI, from dataset annotation to model evaluation, preparing you to take on the role of an AI product manager. You'll engage in hands-on projects, learning to create datasets, develop AI models, and measure their impact effectively. With guidance from experts like Kirsten Gokay and Meeta Dash, this AI product manager course empowers you to build and manage AI-driven products with confidence. At Udacity, we pride ourselves on bridging the gap between learning and real-world application. Our learners gain not just knowledge but the practical skills they can apply immediately, ensuring they're job-ready from day one. Join us and transform your career in AI product management.

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