Generative AI has rapidly evolved in recent years, with the emergence of language models like ChatGPT, image models like Dalle-2, and video models like Midjourney. These technologies have immense potential for automating content creation yet raise important ethical and societal questions. As businesses and industries increasingly adopt generative AI, it’s important to understand how it works, its impact on society, and how to effectively prepare for its integration into the economy.
Keeping this in mind, here at Coursesity, we have curated some of the Best Generative AI Courses online. Whether a beginner or an experienced developer, these courses will provide you with the knowledge and skills you need to succeed in AI and machine learning.
Top Generative AI Courses List
- Generative AI, from GANs to CLIP, with Python and PyTorch
- Generative Adversarial Networks (GANs) Specialization
- Generative AI for Business Leaders – Free Course
- The classic course on Generative AI by Martin Musiol
- What Is Generative AI? – Free Course
- Master Generative AI: Automate Content Effortlessly with AI
- How to Research and Write Using Generative AI Tools – Free Course
- How to use ChatGPT and Generative AI to help create content
- Generative AI: Implications and Opportunities for Business
- ChatGPT and Generative AI: The Big Picture (Free Course)
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This course on Generative AI provides advanced knowledge and practical experience in deep learning, data science, and advanced technology. It takes you on a fascinating journey, gradually introducing you to various generative architectures, from basic to advanced, until you reach multimodal AI, where text and images are connected in amazing ways to produce incredible results.
In this Generative AI Course, you will learn the following:
- Coding generative AI architectures from scratch using Python and Pytorch.
- How generative architectures work, in great depth, from GANs to multimodal A.I., understanding every little detail in the process.
- In addition to the coding, every section begins with an in-depth review of the key concepts related to these architectures.
- Examples: We will code a generative network that produces human faces and also combines two advanced networks to transform text prompts into amazing images.
- Examples: We will learn to edit clothing in a picture by combining a segmentation architecture with the Stable Diffusion generative model.
- Special Bonus Section: Journey to the latent space of a neural network, learn in depth how the networks that power Generative AI learn their mappings.
- Special Bonus Section: Experience a guided visualization to exercise the generative model in your head while you learn many things about neural networks.
The course teaches you key concepts in great depth and then guides you through coding, line by line, to help you understand everything. By the end of the course, you will have a deep understanding of both the key concepts and the fine details of the coding process in Generative AI.
- Course rating: 4.5 out of 5.0
- Duration: 11.5 Hours
- Certificate: Certificate on completion
This specialization consists of three courses focusing on Generative Adversarial Networks (GANs). First, you will learn the fundamental components of GANs, build a basic GAN using PyTorch, use convolutional layers to build advanced DCGANs that process images, apply the W-Loss function to solve the vanishing gradient problem, and learn how to control and build conditional GANs efficiently.
In this Generative AI Course, you will learn the following:
- Understand GAN components, build basic GANs using PyTorch and advanced DCGANs using convolutional layers, control your GAN, and build conditional GAN.
- Compare generative models, use the FID method to assess GAN fidelity and diversity, learn to detect bias in GAN, and implement StyleGAN techniques.
- Use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation.
Second, you will understand the challenges of evaluating GANs, compare different generative models, use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs, identify sources of bias and ways to detect it in GANs, and learn and implement the techniques associated with the state-of-the-art StyleGAN.
Third, you will use GANs for data augmentation and privacy preservation, survey more applications of GANs, and build Pix2Pix and CycleGAN for image translation.
Throughout the specialization, you will learn about GANs and their applications. You will develop practical skills in building and evaluating different types of GANs. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more.
- Course rating: 4.7 out of 5.0
- Duration: 2 months (10 hours/week)
- Certificate: Certificate on completion
This course introduces the concept of generative AI and its potential to reshape industries and societies. It highlights how this technology can automate tasks, write complex code, and accelerate innovation. The course aims to explain how generative AI works, its potential for disruption, and its limitations.
In this Generative AI Course, you will learn the following topics:
- Generative AI: What Business Leaders Need to Know
- Business Implications of Generative AI
- Getting Started with Generative AI
- Key Pitfalls, Concerns, and Limitations of Generative AI
- Future Trends and Outlook
This course is designed for senior executives and aspiring leaders who want to learn the workings of generative AI and its implications for their businesses and careers. By completing this course, learners will be well-positioned to leverage this technology to reinvent the future of their business and stay ahead of the curve in a rapidly evolving industry.
- Course rating: 4.7 out of 5.0
- Duration: 1 Hour
- Certificate: Certificate on completion
This course delves into the world of Generative Artificial Intelligence (GAI) and explores its application in various fields. It aims to answer questions about the possibilities of GAI models and how to utilize data generation for your projects. The course focuses on three angles: application, tech, and ethics.
In this Generative AI Course, you will learn the following:
- How to implement Generative AI models, focusing on proper concept implementation and relevant code (no administrative code).
- Get to know the broad spectrum of GAI applications and possibilities tangibly eg. 3D object generation, interactive image generation, and text generation.
- How to identify great ideas in the GAI space and make the best use of already developed models for realizing your projects and ideas
- How to augment your dataset to improve the performance of machine learning algorithms, e.g. for disease classifiers.
- Learn about the ethical side: the concerns around GAI, incl. deepfakes, etc.
- The technical side: evolution of generative models to the generator-discriminator interplay to common implementation issues and their remedies.
The application angle covers various GAI application fields and provides starting points to implement GAI models effectively. The tech angle will explore the existing GAI models, computation graphs, neural networks, deep neural networks, and convolutional neural networks. The ethical angle discusses the concerns surrounding GAI models and what companies and governments do to prevent further harm.
- Course rating: 4.1 out of 5.0
- Duration: 6 Hours
- Certificate: Certificate on completion
Whether you work in film, marketing, healthcare, automobiles, or real estate, Generative AI is reshaping the way you do your job, and those who adopt it early will reap the rewards quicker. As a creative revolution, it is comparable to the invention of photography. This course can help you start your journey to becoming part of the leaders driving this revolution.
In this Generative AI Course, you will learn the following topics:
- What is Generative AI?
- Main Models
- The Future of AI
- Ethics and Responsibility
This course covers the basics of generative AI, such as how it works, how to generate your content, what models there are, future predictions, and ethical considerations. By the end of the course, learners will have a strong foundation in generative AI, including the ability to identify various applications of the technology and its potential impact on society.
- Course rating: 4.7 out of 5.0
- Duration: 1 Hour
- Certificate: Certificate on completion
This course will provide learners with a comprehensive understanding of Generative AI tools such as ChatGPT, Midjourney, BARD, GPT-4, DALLE-2, Stable Diffusion, and GEN-1. With a focus on hands-on learning, participants will learn how to generate text, image, audio, and video content with minimal effort using prompt engineering techniques and AI tools like ChatGPT, DALLE-2, Stable Diffusion, Whisper, Synthesia, MAKE-A-VIDEO, and IMAGEN.
In this Generative AI Course, you will learn the following:
- Use ChatGPT, DALLE-2, Stable Diffusion, Whisper, Synthesia, MAKE-A-VIDEO, IMAGEN to Automate Content Creation
- Master Prompt Engineering across Text to text & Text Image Generation for best results on BARD, GPT-4, DALLE-2, GEN-1, Stable Diffusion
- Stay up-to-date on Generative AI News & Concepts in practical ways: GANs, GAI, LMMs, Transformers, Stable Diffusion, AI Content Generation,
- Unleash Your Content Potential! Generate 100s of Ideas for Text, Image, Audio, & Video with the Power of Generative AI.
- Learn how to use industry-leading tools for text, image, audio & video generation
- Unleash Your AI Creativity with Avatars! Learn to Generate AI-Powered Avatars without Writing Any Code in Stable Diffusion
- Stay Ahead of the Game with the Latest Generative AI News. Get Access to Cutting-Edge Updates and Advance Your Skills Today!
- Unlock Your Content Creation Potential! Get Hands-On Experience and Gain a Competitive Edge with Generative AI.
- Learn how to leverage Perplexity AI for Research and Writing.
The course covers the latest news and concepts in the field of Generative AI, including GANs, GAI, LMMs, Transformers, Stable Diffusion, and AI content generation. It will provide learners with a well-rounded understanding of the field, making them more efficient content creators and giving them a competitive edge.
- Course rating: 4.4 out of 5.0
- Duration: 11 Hours
- Certificate: Certificate on completion
In this crash course in generative AI, you will learn how to get started with prompt engineering for ChatGPT and other AI chatbots to upskill as a researcher and a writer. The course will cover effective prompt creation that delivers high-quality, task-relevant results and an overview of the key considerations of working with generative AI.
In this Generative AI Course, you will learn the following topics:
- Overview of Working with AI
- Using AI to Improve Your Research
- Using AI to Improve Your Writing
You will learn practical strategies to improve your research and writing, such as summarizing complex information, viewing subjects from multiple perspectives, building user personas and strategic models, analyzing writing style, outlining ideas, and generating new content. By the end of the course, you will be ready to leverage the power of ChatGPT and other chatbots to deliver more consistent writing outcomes every time.
- Course rating: 4.8 out of 5.0 (95 Rating total)
- Duration: 1 Hour 15 Minutes
- Certificate: Certificate on completion
In this course, participants will gain expertise in using cutting-edge language models ChatGPT, Dalle-2, and Midjourney to generate a range of written content and generate new artwork. The course will begin with an overview of the basic concepts of these models, followed by hands-on training on generating text using fine-tuning techniques, creative writing, and creating generative art like images, videos, and other forms of media.
In this Generative AI Course, you will learn the following:
- How to use Dall-E, Midjourney, and Adobe Firefly to generate images.
- How to use ChatGPT, Bard, Gemini, Bing, & Llama to write content and answer questions.
- How to use GPT Builder to create your GPTs.
- Future-proofing your work using Generative AI.
- Basics of Prompt Engineering and advanced prompting techniques.
- Priming to get more specific AI responses.
- High-level understanding of GANs, Transformers, and Multimodal Models and how they power Generative AI.
- Live demonstrations on how to use ChatGPT, Bard, and Claude to write itineraries, chat with PDFs, pair programs, and more.
- How to Fine Tune a GPT 3.5 Turbo Model and use the OpenAI API for Text and Image Generation.
- Ethical implications of AI.
Upon completion of the course, participants will understand how to utilize ChatGPT, Dalle-2, and Midjourney to produce written content and generative art. As a result, these students can create their own content and art and explore advanced tools for creating content and art.
- Course rating: 4.5 out of 5.0
- Duration: 6.5 Hours
- Certificate: Certificate on completion
This four-week course provides a comprehensive overview of the dynamics and implications of generative AI on the economy, society, and work. Participants will gain an understanding of the history of generative AI and how it has evolved into a technology that can mimic human skills.
Participants will also learn about the basic anatomy of generative AI and the economic environment in which it operates. It includes exploring the different business models of generative AI applications and how they are used in various contexts.
In this Generative AI Course, you will learn the following topics:
- The Basic Anatomy of Generative AI.
- Implications of Generative AI for Business.
- Generative AI in the Industry.
- Challenges in Adoption and Use.
The course will also delve into the major industries facing rapid change due to generative AI and how this technology disrupts, competes, and complements other technologies and people.
Finally, we will focus on the issues, barriers, and opportunities of generative AI adoption and use in business. It includes discussing ethical and regulatory risks and exploring institutional approaches to overcome them. Participants will also learn how companies and individuals can prepare for generative AI as it becomes more integrated throughout the economy.
By the end of the course, participants will have a thorough understanding of generative AI and its implications on the economy, society, and work. They will be equipped with the knowledge and skills to navigate the challenges and opportunities of this rapidly evolving technology.
- Duration: 4 Weeks (3 Hours/week)
- Certificate: Certificate on completion
Generative AI and ChatGPT are all the rage, and they could revolutionize how we work, learn, and communicate. But how do you cut through all the hype? This course will provide you with a foundational understanding of these powerful new technologies.
In this Generative AI Course, you will learn the following topics:
- What Are ChatGPT and Generative AI?
- Getting Started with ChatGPT
- Applying ChatGPT to the Real World
First, you will examine generative AI and how it generates human-like responses. Following that, we’ll examine some of the limitations and capabilities of ChatGPT. Lastly, you will learn how ChatGPT can be used in real-world applications, including everyday data practice use cases. Upon completing this course, you’ll have a practical understanding of ChatGPT and how you can use it to work more efficiently.
- Course rating: 4.5 out of 5.0 (38 Rating total)
- Duration: 35 minutes
- Certificate: Certificate on completion
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