Pearson
Programming Generative AI: Unit 1

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Pearson

Programming Generative AI: Unit 1

Pearson

Instructor: Pearson

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Develop a foundational understanding of generative AI and deep generative modeling concepts.

  • Explore and compare various multimodal generative models and their input/output modalities.

  • Gain hands-on experience programming with tensors and building neural networks using PyTorch.

  • Understand the theoretical trade-offs between different generative model architectures and their practical implications.

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Recently updated!

August 2025

Assessments

2 assignments

Taught in English

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This course is part of the Programming Generative AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

This module introduces the fundamentals of generative AI and deep generative modeling, exploring how algorithms can create rich media across various modalities. It covers the theoretical foundations and trade-offs of different generative model architectures. The module then provides hands-on experience with the PyTorch framework, guiding learners through programming with tensors, leveraging automatic differentiation, and building neural networks. By the end, students will understand both the principles behind generative models and the practical skills needed to implement them using modern deep learning tools.

What's included

29 videos2 assignments

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Instructor

Pearson
Pearson
221 Courses2,129 learners

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