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[UDACITY] AI PRODUCT MANAGER ND V1.0.0

[UDACITY] AI PRODUCT MANAGER ND V1.0.0

Become an AI Product Manager

Learn to develop AI products that deliver business value. Build skills that help you compete in the new AI-powered world.

  • ESTIMATED TIME
    2 Months

    At 5-10 hours/week

  • ENROLL BY
    September 25, 2019

    Get access to classroom immediately on enrollment

  • PREREQUISITES
    No Experience Required

    See prerequisites in detail

IN COLLABORATION WITH

What You Will Learn

SYLLABUS

AI Product Manager

You’ll learn how to evaluate the business value of an AI product. You’ll start by building familiarity and fluency with common AI concepts. You’ll then learn how to scope and build a data set, train a model, and evaluate its business impact. Finally, you’ll learn how to ensure a product is successful by focusing on scalability, potential biases, and compliance. Along the way, you’ll review case studies and examples to help you focus on how to define metrics to measure the business value for a proposed product.

Estimated 2 Months

PREREQUISITE KNOWLEDGE

No prior experience is required.

  • Introduction to AI in Business

    Gain foundational knowledge of AI and machine learning, how to develop a business case for an AI application, and how and when to use AI in a product.

  • Creating a Dataset

    A high-quality training data set is essential for machine learning models. Learn how to create a high-quality dataset, including how well the data fits a particular use case.

    CREATE A MEDICAL IMAGE ANNOTATION DATA SET WITH FIGURE EIGHT

  • Building a Model

    Learn how a neural network produces a decision and how “training” works. You’ll also learn how to use training data and how to evaluate the results of a model.

    BUILD A MODEL WITH GOOGLE AUTOML

  • Measuring Impact and Updating Models

    Learn how to measure post-deployment impact, and how to make data-informed improvements on your model. You’ll also learn how to avoid unwanted bias, ensure security and compliance, and how to scale your product.

    CAPSTONE PROJECT

NEED TO PREPARE?

There are no requirements to enroll in this program.

Learn with the best

Alyssa Simpson-Rochwerger

Alyssa Simpson-Rochwerger

VP OF PRODUCT AT FIGURE EIGHT

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.

Kiran Vajapey

Kiran Vajapey

SENIOR HCI DEVELOPER AT FIGURE EIGHT

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.

Kirsten Gokay

Kirsten Gokay

ASSOCIATE PRODUCT MANAGER AT FIGURE EIGHT

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.

Meeta Dash

Meeta Dash

DIRECTOR OF PRODUCTS AT FIGURE EIGHT

Meeta Dash is Director of Products at Figure Eight, 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.

GET STARTED

Become an AI Product Manager

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LEARN
Develop products that leverage AI by learning how AI can influence your business, how to scope and train AI models, and how to measure success.

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AVERAGE TIME
On average, successful students take 2 months to complete this Nanodegree program.

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BENEFITS INCLUDE
  • Real-world projects from industry experts
  • 1-on-1 technical mentor
  • Personal career coach & career services

Size: 741.35M

 

 

 

 

 



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