Pearson
Programming Generative AI: Unit 3

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Pearson

Programming Generative AI: Unit 3

Pearson

Instructor: Pearson

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

Recommended experience

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

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand and implement multimodal models that integrate images and text for advanced AI applications.

  • Build and optimize semantic image search engines using contrastive language-image pre-training.

  • Master the principles and practicalities of latent diffusion and stable diffusion for text-to-image generation.

  • Adapt, fine-tune, and efficiently evaluate pre-trained generative models for new tasks, styles, and real-time performance.

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Recently updated!

August 2025

Assessments

3 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 delves into multimodal generative AI, focusing on models that connect images and text. Learners explore contrastive language-image pre-training for semantic image search and uncover the workings of latent diffusion and stable diffusion for text-to-image generation. The module then covers evaluation of generative models, parameter-efficient fine-tuning, and techniques to teach pre-trained models new styles and subjects. It concludes with methods to optimize diffusion models for faster, near real-time image generation, equipping students with both conceptual understanding and practical skills in advanced multimodal AI systems.

What's included

44 videos3 assignments

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Instructor

Pearson
Pearson
221 Courses2,129 learners

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