Packt

Foundations of Generative AI for Software Developers

Packt

Foundations of Generative AI for Software Developers

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

Recommended experience

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

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Build secure GenAI applications with expert guidance

  • Understand the fundamentals of Generative AI and its applications in software engineering

  • Automate coding tasks using AI tools like GitHub Copilot and OpenAI APIs

Details to know

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Recently updated!

September 2026

Assessments

4 assignments

Taught in English

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

There are 3 modules in this course

This module provides an in-depth exploration of Generative AI, including its foundational concepts, real-world applications in industries like finance and science, and its transformative impact on software development. Learners will gain a comprehensive understanding of how to leverage these technologies responsibly and effectively.

What's included

1 video7 readings1 assignment

This module provides an in-depth exploration of generative AI models, including SLMs, LMMs, and foundational models. It covers their deployment, integration, and practical implementation in real-world scenarios. Learners will gain insights into prompt management, chatbot development, and the unique features of leading AI models.

What's included

1 video9 readings1 assignment

This module provides a comprehensive overview of generative AI architectures, including GANs, VAEs, and Transformers, and how they are applied in real-world scenarios. Learners will gain insight into model evaluation techniques, regularization methods, and the importance of architecture choice for different applications.

What's included

1 video10 readings2 assignments

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Packt
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