What is Generative Artificial Intelligence?

Curious about what generative artificial intelligence is and how it works? Oxford Home Study Centre offers this Gen AI course to help learners explore the possibilities of generative artificial intelligence in everything from creative arts to data science. Through this course, you will explore the underlying technologies and models that power generative AI and understand its practical applications.

Whether you're a beginner or someone with a basic understanding of artificial intelligence, this course will introduce you to what Gen AI is and how it functions. You'll learn about key techniques such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Autoregressive Models, gaining hands-on experience with these transformative AI tools. By the end of this course, you will have the foundational knowledge to understand and work with generative AI models.

You can also explore our free online courses covering a wide range of professional subjects, helping you develop new skills and continue your learning journey at your own pace.

What Is Generative Artificial Intelligence course offers a deep dive into the world of AI that creates new content, such as images, music, and text. This cutting-edge field, known as generative AI, is reshaping industries and opening up exciting opportunities across areas including technology, business, and creative professions.

Continue your learning journey with our AI courses online, where you can discover more about artificial intelligence, machine learning, and other emerging technologies. These courses provide valuable insights into how AI is transforming the modern workplace and creating new career opportunities.

As generative AI continues to influence industries worldwide, understanding related areas such as data science and digital innovation can help you build valuable future-ready skills. Browse our artificial intelligence learning resources for further guidance and explore additional ways to expand your knowledge.

With flexible study options and accessible course materials, this course is ideal for anyone looking to understand the technology behind AI-generated content. Discover more career-focused online courses available at Oxford Home Study Centre and continue developing the skills needed to succeed in an increasingly digital world.

By the end of this course the learner will be able to:

Understand what generative artificial intelligence is and its importance in modern AI.
Explore the fundamental concepts behind generative models.
Learn the structure and working of GANs and how they generate realistic images and data.
Understand the role of GANs in industries such as entertainment and design.
Delve into the functioning of VAEs and their applications in generating new data from existing datasets.
Compare VAEs with other generative models.
Discover how autoregressive models like GPT generate sequential data, including text generation.
Gain insights into their applications in language models and predictive tasks.
Explore real-world applications of generative AI across industries, including healthcare, entertainment, and finance.
Learn how generative AI is shaping the future of content creation and innovation.

Free Study and Optional Certification

You can enrol on Generative AI Explained for Beginners, access the online learning materials and complete the course without paying a course fee. Certification is optional, separate from free study and available after successful completion.

You may choose to purchase:

QLS-endorsed Certificate of Achievement
CPD-accredited certificate issued by the CPD Standards Office as a record of continuing professional development

You can order either certificate individually or purchase both for the same completed course. Buying one does not require you to buy the other.

Each certificate has its own price, and the total payable may vary according to the certificates selected, course level, format and delivery option. See our current certificate options and prices.

Certification is entirely optional and is not required to access the materials or complete the course.

Course Content

Topics Covered in the Course

This Course covers the following Modules:

Module 1: Introduction to Generative AI

This module explains what Generative AI is, how it works, and why it is transforming modern technology. You will learn the basic concepts, real-world uses, and core benefits of generative models.

Module 2: Generative Adversarial Networks (GANs)

You will explore how GANs create new images, videos and data by using two neural networks that learn through competition. This module introduces their structure, purpose, and common applications in AI.

Module 3: Variational Autoencoders (VAEs)

This module shows how VAEs compress information and generate new data with similar patterns. You will learn why VAEs are useful for image creation, reconstruction and other generative tasks.

Module 4: Autoregressive Models

You will study how autoregressive models generate text, audio and sequences one step at a time. This module explains their role in language modelling, prediction and creative AI tools.

Module 5: Applications of Generative AI

This module covers the real-world impact of Generative AI across industries, from content creation to healthcare and business innovation. You will see how generative tools are used today and what opportunities they create.

How It Works

Build your knowledge through clear and accessible online learning.

Complete the assignments and achieve the required marks.

Choose an optional certificate after completing the course.

Why Choose a Certificate?

An optional certificate provides a clear record of successful course completion. Add it to your learning portfolio and share it where relevant.

Completing the course and its assessments shows your commitment to developing subject knowledge through focused, independent learning.

Use your new knowledge to support further study, workplace development or personal goals. A certificate records completion but does not guarantee employment or professional status.