The field of artificial intelligence (AI) has advanced quickly in the past few years, and generative AI is one of its more intriguing subfields. With the use of this technology, computers are now able to produce text, graphics, and even music that is frequently identical to content created by humans. You’re in luck if you’re eager to learn more about the fascinating field of generative artificial intelligence (AI) because LinkedIn has a number of free courses in this area. We’ll expose you to five free LinkedIn courses that will teach you about Generative AI in this post.
- Eduonix Learning Solutions’ “Introduction to Generative Adversarial Networks (GANs)”
A key idea in the field of generative artificial intelligence, generative adversarial networks, or GANs, are thoroughly introduced in this course. A generator and a discriminator, two neural networks that collaborate to produce and assess content, make up a GAN. This LinkedIn course is a great place for people who are new to the area to start as it covers the theory underlying GANs and provides hands-on practice. - Lynn Langit’s article “AI: Create Generative Text with Python”
One of the most fascinating uses of generative AI is text generation, and this course by Lynn Langit shows you how to use Python to produce generative text. You will gain knowledge of the fundamental ideas behind natural language generation and learn how to construct language models. You will be able to produce text that resembles human writing by the end of the course. - Harshit Tyagi’s article “Getting Started with Generative Adversarial Networks (GANs) in Python”
Python-based Generative Adversarial Networks are the main topic of this course. You will gain a thorough understanding of GANs and discover how to use them to create art and graphics. This course’s practical insights and coding activities will help you unleash your creativity and gain hands-on experience with GANs. - LinkedIn Learning Instructors’ “Machine Learning & AI Foundations: Neural Networks”
Neural networks are the basis of Generative AI models, thus it’s essential to have a firm grasp of them before delving further. This LinkedIn course is a great starting point for anyone interested in learning about the foundations of neural networks and how they work in generative AI models. - Keith McCormick’s article “Generative Adversarial Networks (GANs) for Machine Learning”
The complexities of Generative Adversarial Networks (GANs) in machine learning are explored in depth in this advanced course. GAN theory, sophisticated applications, and real-world implementation are all covered. Although it covers more ground than the other courses on this list, it nevertheless offers a thorough understanding of GANs and practical applications.
