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Models and Parameters for Developers

by Daryle Serrant

Explore transformers, diffusers, and other cutting-edge Generative AI technologies. This course will teach you how to select, understand, and efficiently implement various generative models for real-world applications.

What you'll learn

In today's increasingly competitive landscape, more and more businesses and developers need to leverage the latest AI technologies in order to stay ahead. However, the complexity and breadth of Generative AI models leave many unsure where to begin or how to effectively apply these technologies to real-world scenarios. In this course, Models and Parameters for Developers, you'll learn how to solve practical problems in various domains using popular Generative AI models. First, you'll understand the architecture and functionality of text transformers and gain insights on how these models can be used to create chatbots and other natural language processing applications. Next, you will explore generative adversarial networks, variational autoencoders, image transformers, and diffusers, and how they can be used to generate lifelike images. Finally, you will know how to estimate and manage the costs associated with deploying generative models to production. When you're finished with this course, you'll have the skills and knowledge of Generative AI needed to confidently select and implement the right AI models for your projects.

About the author

Daryle has worked as a data scientist and software engineer for industry giants such as Tesla and Lockheed Martin, as well as companies in the Aerospace and Defense, Consumer Electronics, Health and Wellness, and Renewable Energy sectors. He excels in leveraging machine learning to automate and streamline operations, and has crafted software products spanning the technology spectrum, from web and mobile applications to embedded systems. Amid his ventures in the tech world, Daryle discovered a pr... more

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