Generative AI, or GenAI in short, can be defined as a set of AI models that can produce text, images, audio and video content. This lesson will explain what makes GenAI different from traditional AI and outline some of its real-life applications.

Generative AI has experienced several key milestones in its development. In this lesson, we’ll go through an overview of its history to understand how it got to be as we know it today.

There is no serious conversation about generative AI without the mention of neural networks. They are the basis of Generative AI, as they identify the patterns and structures within existing data to generate new and original content. This lesson will explore the fundamentals of neural networks and deep learning and their role in Generative AI.

Collecting data is the first step in the process of training a GenAI model. This lesson will explain how to go about understanding types of training data and its sources as well as some challenges and best practices for sourcing them.

Some of the business challenges can be effectively addressed by utilizing Generative AI capability of content creation. This lesson will lay out applications and advantages of GenAI in content creation before moving onto the overview of its uses in content marketing and customer service.