About the Course

Get introduced to the course, its prerequisites, and targeted audience.

What we’ll learn

In this course, we will explore the fascinating world of generative artificial intelligence (AI) and its groundbreaking applications. Generative AI has revolutionized our interaction with machines, empowering computers to create, predict, and learn without explicit human instruction. Through platforms like ChatGPT and OpenAI, we’ve witnessed remarkable advancements in natural language processing, image synthesis, video generation, and numerous other fields. Our journey will equip you with the knowledge and skills needed to navigate the dynamic landscape of generative AI. Let’s begin by establishing a clear understanding of the context through defining key concepts and principles.

Course structure

This course introduces the field of generative AI, which focuses on creating new and unique data or content using machine learning algorithms. It covers the basics of Generative AI models and explains how these models are trained to generate new data.

After that, it focuses on concrete use cases of how ChatGPT can boost productivity and enhance creativity. It also explores how to get the best out of the ChatGPT interaction by improving prompt design and leveraging zero-, one-, and few-shot learning capabilities.

The course then continues by focusing on the previous use cases clustered by domains: marketers, researchers, and developers/data scientists. Each domain will be covered with four concrete use cases that you can easily replicate on your own.

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Then, from individual use cases, the course moves toward enterprise-level scenarios that use the OpenAI model APIs available on Azure infrastructure. This course will also focus on end-to-end scenarios of an existing customer story and its responsible AI implications.

Finally, the course will recap the main elements discussed so far and reflect on what’s coming next in the field of Generative AI.

By the end of this course, you will have the knowledge to delve deeper into the Generative AI field and start using ChatGPT and OpenAI’s model APIs in your own projects.

Contents of the course

Target audience

This course is aimed at a broad audience. It is for general users who are interested in boosting their daily productivity with ChatGPT and OpenAI and diving deeper into the technology and model architecture behind ChatGPT. It is also for business users who want to get deeper into real-world applications of ChatGPT and OpenAI models and learn how they can empower their organizations. This course is also for data scientists and developers who want to dive deeper into the ways that ChatGPT and OpenAI models can boost their ML models and code, as well as marketers and researchers who want to dive deeper into the OpenAI and ChatGPT use cases in their domains.

Since the course provides a theoretical overview of the technologies behind the OpenAI models and the main concepts of Generative AI, there are no particular requirements to take it. This course also provides the complete Python code and step-by-step guides for implementing the practical use cases and their end-to-end solutions.