Online Course – Google Certified Professional Internship in AI Product Management, Duke University

Manage the design and development of machine learning products. Understand how machine learning works and when and how it can be applied to solve problems. Learn to apply the data science process and best practices to guide machine learning projects, and how to develop human-centric AI-based products that ensure privacy and ethical standards.

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קורס אונליין - התמחות מקצועית מוסמכת בניהול מוצרי AI של Google

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Basic understanding of machine learning
  • Implementing the data science process
  • Implementing good industry practices
  • Leading machine learning projects
  • Artificial Intelligence-Based Product Design
  • Understanding privacy and ethical standards
  • Working in interdisciplinary teams
  • Problem solving with machine learning
  • Carrying out practical projects without the need for coding
  • Machine learning system design
  • User experience design
  • Analysis of ethical and privacy considerations

What you will learn in the course

Courses for which the course is suitable

  • Product Managers
  • Engineering team leaders
  • Managers
  • Analysts
  • Artificial Intelligence professionals
  • Machine learning professionals
  • Artificial intelligence-based product developers
  • Interdisciplinary team members on machine learning projects
  • Data scientists
  • User Experience Designers

Internship – 3-part course series

Organizations across industries are increasing their use of artificial intelligence and machine learning to create innovative products and systems. This requires professionals in a variety of roles to understand when and how to apply AI, speak the language of data and analytics, and be able to work in cross-functional teams on machine learning projects.

This specialization provides a fundamental understanding of how machine learning works and when and how it can be applied to solve problems. Learners will build skills in applying the data science process and implementing industry best practices to lead machine learning projects, and develop competency in designing AI-based products that ensure privacy and ethical standards.

The courses in this training focus on the intuition behind these technologies, without the need for programming, and combine theory with practical information including industry best practices. Professionals and aspiring professionals from a wide range of industries and roles, including product managers, engineering team leaders, executives, analysts, and others will find this program of great value.

Applied learning project

Learners will complete three projects during this course series:

  • First course: You will complete a practical project in which you will create a machine learning model to solve a simple problem (without the need for coding) and evaluate the performance of your model.
  • Second course: Identify and focus on a problem that interests you, design a machine learning system that can help solve it, and begin developing a project plan.
  • Third course: You will perform a basic exercise in user experience design for your machine learning-based solution and analyze the ethical and privacy considerations relevant to the project.

Details of the courses that make up the specialization

Machine Learning Fundamentals for Product Managers

Course 1

Duration: 14 hours
Rating: 4.6 (435 ratings)

Course Details

In the first course of Duke University’s Artificial Intelligence Product Management specialization, you’ll build a basic understanding of what machine learning is, how it works, and when and why it’s used. The course offers a non-programming introduction to machine learning, with an emphasis on the model development process, evaluation and interpretation of learning models, and the intuition behind common algorithms.

At the end of the course you will be able to:

  • Explain how machine learning works and what types of learning are there.
  • Describe the challenges in models and strategies to overcome them
  • Identify the main algorithms used in machine learning tasks
  • Explain what deep learning is and its benefits and challenges.
  • Apply best practices in evaluating machine learning models

Skills you will acquire

  • model
  • Predictive analysis
  • Data Science
  • Artificial neural network
  • Machine learning

Machine learning project management

Course 2

Duration: 18 hours
Rating: 4.8 (180 ratings)

Course Details

The second course in the AI ​​Product Management specialization focuses on the practical aspects of managing machine learning projects. Participants will learn about the data science process and how to apply the process to organize machine learning efforts.

At the end of the course you will be able to:

  • Identify opportunities to apply machine learning to solve problems
  • Apply the data science process to organize machine learning projects
  • Evaluate the key technological decisions in designing a machine learning system
  • Lead machine learning projects from concept to production

Skills you will acquire

  • model
  • project management
  • Machine learning

Human factors in artificial intelligence

Course 3

Duration: 17 hours
Rating: 4.7 (97 ratings)

What you’ll learn

  • Identify and mitigate privacy and ethical risks in AI projects
  • Apply human-centered design methods to design successful AI product experiences
  • Build AI systems that enhance human intelligence and inspire trust in the model among users

Skills you will acquire

  • Machine learning
  • privacy
  • Design Thinking
  • ethics

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