AI Product Manager

Online Course

Udacity
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AI Product Manager
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

AI Product Manager
The course AI Product Manager is an online class provided by Udacity. It may be possible to receive a verified certification or use the course to prepare for a degree.

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

Course description
  • AI Product Manager
  • 2 Months (5-10 hours/week)
  • 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.

  • Learn how to evaluate the business value of an AI product. Build fluency with AI concepts, create a data set, measure the effectiveness of different Machine Learning models, and craft a product proposal.
  • No prior experience is required.See detailed requirements.
  • 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.
  • 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.
  • 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.
  • 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.
  • There are no requirements to enroll in this program.
  • There are no requirements to enroll in this program.
  • 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 Appen
  • 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
  • No prior experience is required.
  • AI is changing the world around us at an astounding pace. For many, Artificial Intelligence remains a mystery, and how to leverage this technology is not always clear.
  • This program is designed for students who want to take advantage of AI, but don’t want or need to learn the full technical implementation of neural networks and machine learning models. You’ll learn how to leverage AI in the business world, from scoping datasets, testing machine learning models, and crafting a proposal for a new product powered by AI. Along the way you’ll build fluency in AI concepts.
  • This program is designed to upskill practicing product managers to build AI-powered products and bring value to their business using AI.
  • This program is intended for anyone who wants to gain fluency and understanding of AI use cases. If you want to learn how to leverage AI, including how to build a dataset and how to evaluate different machine learning models without needing to code, this program is for you.
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Prerequisites & Facts

AI Product Manager

Course Topic

Automation, Development, Development Tools

University, College, Institution

Udacity

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

AI Product Manager

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (399 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
AI Product Manager
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School: Udacity
Topic: AI, Computer Science

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