Models and Parameters for Developers

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 select, configure, and apply generative AI models effectively to solve practical business problems.

First, you’ll explore foundational architectures of transformer-based models and understand the critical parameters influencing their behavior. Next, you’ll discover how to leverage specialized generative models for text, code, image, speech, and multimodal applications, and grasp parameter-efficient techniques for fine-tuning these models. Finally, you’ll learn how to accurately estimate and optimize costs associated with deploying generative AI solutions in real-world environments.

When you're finished with this course, you'll have the skills and knowledge of generative AI models and parameters needed to implement AI-driven solutions into your development projects and deliver meaningful business value.