Coursera Generative AI Courses You Must Know in 2024

Are you looking for Coursera Generative AI Courses?… If yes, this blog is for you. In this blog, I will share the Best Coursera Generative AI Courses with you.

Now, without further ado, let’s get started-

Coursera Generative AI Courses

First, let’s understand Generative AI.

What is Generative AI?

Generative AI is an exciting field of artificial intelligence that can create new content, such as text, images, music, and videos. Generative AI is a smart tool that learns from examples and then uses that knowledge to create something new. For example, if we show it many pictures of cats, it can then draw its own picture of a cat, even if it has never seen that specific cat before.

How Does Generative AI Work?

Creating New Content: With this knowledge, Generative AI can produce new content that follows these patterns. For example, it can write a new story, generate an image, or compose a piece of music that seems like it was made by a human.

Learning from Data: First, Generative AI studies a large amount of data related to the content it needs to create. If we want it to write text, it will read many books, articles, and other texts.

Understanding Patterns: As it goes through this data, it learns the patterns and structures. For text, this includes grammar, common phrases, and how sentences are formed.

Why is Generative AI Important?

Generative AI is important because it can help us be more creative and productive. It can:

• Assist writers by generating ideas or writing paragraphs.
• Help artists by creating images based on their descriptions.
• Aid researchers by summarizing large amounts of text or generating new ideas.

I hope this explanation helps you understand Generative AI better. Now, let’s see some of the Best Coursera Generative AI Courses.

1. Generative Adversarial Networks (GANs) Specialization

Time to Complete-	3 months ( If you spend 8 hours per week)
Level-	Intermediate
Rating-	4.7/5

A generative Adversarial Network (GAN) is a powerful algorithm of Deep Learning. Generative Adversarial Network is used in Image Generation, Video Generation, and Audio Generation. In short, GAN is a Robot Artist, who can create any kind of art perfectly.

And in this Generative Adversarial Networks (GANs) Specialization, you will learn how to build basic GANs using PyTorch and advanced DCGANs using convolutional layers.

You will use GANs for data augmentation and privacy preservation, survey GANs applications, and examine and build Pix2Pix and CycleGAN for image translation.

There are 3 courses in this Specialization program where you will gain hands-on experience in GANs. Now, let’s see all the 3 courses of this Specialization Program-

Courses Include-

1. Build Basic Generative Adversarial Networks (GANs)
2. Build Better Generative Adversarial Networks (GANs)
3. Apply Generative Adversarial Networks (GANs)

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who have a working knowledge of AI, deep learning, and convolutional neural networks. And have intermediate Python skills plus familiarity with any deep learning framework (TensorFlow, Keras, or PyTorch).
• You should also be proficient in basic calculus, linear algebra, and statistics.

Interested in Enroll?

If yes, then check it out here–Generative Adversarial Networks (GANs) Specialization

2. Generative AI Fundamentals Specialization

Time to Complete-	1 month
Level-	Beginner
Rating-	4.7/5

In this specialization, you will learn how to write effective prompts to get desired results using generative AI tools. You will understand the foundational models of generative AI, such as GPT, DALL-E, and IBM Granite. The courses will also cover the ethical issues and considerations of using generative AI.

You will hear from experts who will share tips and advice to help you succeed and become more productive with generative AI. Additionally, you will participate in hands-on labs and projects, using popular tools like IBM watsonx.ai, OpenAI ChatGPT, Stable Diffusion, and Hugging Face, to apply what you have learned in practical scenarios.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check it out here– Generative AI Fundamentals Specialization

3. Generative AI Automation Specialization

Time to Complete-	1 month
Level-	Beginner
Rating-	4.9/5

This specialization will teach you how to craft effective prompts and apply generative AI to tasks such as math tutoring and software development.

You will learn technical skills like prompt engineering and how large language models understand and generate text. The courses also cover automation techniques for using AI in various workflows and the advanced reasoning capabilities of these models.

Through hands-on exercises and projects, you will practice using these AI tools in real-world situations, enhancing your productivity and creativity. This program is suitable for anyone interested in using generative AI for automation. It provides practical skills and technical knowledge, though mastering prompt engineering may require some effort. If you want to explore how AI can transform your work, this specialization is a great choice.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check it out here– Generative AI Automation Specialization

4. Generative AI for Data Scientists Specialization

Time to Complete-	1 month
Level-	Intermediate
Rating-	4.7/5

You will start by learning the basics of generative AI and its real-world applications. Next, you will study prompt engineering concepts and tools, including IBM Watsonx, Prompt Lab, Spellbook, and Dust. The final course will show you how to apply generative AI throughout the data science process, including data augmentation, data generation, feature engineering, model development, model refinement, visualizations, and insights.

The specialization includes hands-on activities and projects to help you apply what you’ve learned. You will practice generating text, images, and code with generative AI, use prompt engineering techniques, and create a prediction model for used car prices. This program is suitable for data scientists, data analysts, data architects, engineers, and data enthusiasts looking to use generative AI effectively in their work.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who have prior data science experience.

Interested in Enroll?

If yes, then start learning here- Generative AI for Data Scientists Specialization

5. Generative Deep Learning with TensorFlow

Time to Complete-	16 hours
Level-	Intermediate
Rating-	4.8/5

This course is all about learning exciting things in deep learning. You’ll start by discovering how to combine the content from one image with the style of another image, making really cool visuals.

Then, you’ll learn about AutoEncoders, which are models that can remove noise from pictures, and understand different types of AutoEncoders.

Next up are Variational AutoEncoders (VAEs), where you’ll create completely new things, like anime faces, and compare them to pictures you already have.

Lastly, you’ll dive into Generative Adversarial Networks (GANs), understanding how they work and building your own model to make realistic faces. By the end of the course, you’ll be able to use these techniques to create amazing visual outputs using deep learning.

Extra Benefits-

• You will get a Course Certificate upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who have a previous understanding of Python, TensorFlow, and deep learning.

Interested in Enroll?

If yes, then start learning here- Generative Deep Learning with TensorFlow

6. Introduction to Generative AI Learning Path Specialization

Time to Complete-	16 hours
Level-	Intermediate
Rating-	4.8/5

This program covers the basics of large language models (LLMs), their various applications, and the ethical considerations necessary for responsible AI use.

You will learn about the foundational principles of LLMs and how they can be applied in different areas. The courses also address important ethical issues related to AI development and deployment.

The specialization includes interactive quizzes throughout the modules to help you test your understanding of key concepts. You will receive immediate feedback to reinforce your learning and identify areas where you might need more practice. This program is ideal for anyone wanting to understand generative AI and its responsible use.

Extra Benefits-

• You will get a Course Certificate upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who have a previous understanding of Python.

Interested in Enroll?

If yes, then start learning here- Introduction to Generative AI Learning Path Specialization

7. Generative AI for Software Developers Specialization

Time to Complete-	1 Month
Level-	Intermediate
Rating-	4.7/5

As generative AI becomes a key skill for writing better code and improving efficiency, this program is ideal for both current and aspiring developers.

You will start with the basics of generative AI, learning about its uses, models, and tools for generating text, code, images, audio, and video. The courses will then cover prompt engineering, including different approaches and tools like IBM Watsonx, Prompt Lab, Spellbook, and Dust.

The specialization will help you enhance your programming skills by showing you how to use generative AI for designing, developing, testing, and launching applications and code. You will get hands-on experience with tools such as GitHub Copilot, OpenAI ChatGPT, and Google Gemini.

The program includes practical projects where you will generate text, images, and code, apply prompt engineering techniques, and create a personalized learning platform for software developers using ChatGPT.

Extra Benefits-

• You will get a Course Certificate upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who have a previous software engineering knowledge.

Interested in Enroll?

If yes, then start learning here- Generative AI for Software Developers Specialization

8. Generative AI with Large Language Models

Time to Complete-	16 hours
Level-	Intermediate
Rating-	4.8/5

In this course, you will explore Generative AI with Large Language Models (LLMs) in three parts. You’ll learn the basics of applying generative AI in real-world situations. Get familiar with the life cycle of LLM-based generative AI and the special transformer architecture. Understand how to improve models using simple scaling rules and the latest techniques for training and deployment. Hear real stories from the industry to understand the challenges and exciting opportunities generative AI brings to businesses.

If you already know a bit about LLMs and have worked with models before, this course is for you. It helps you make smart decisions and speeds up the process of trying out new ideas. You’ll build a good sense of how to use this amazing technology in practical ways.

Who Should Enroll?

• Those who are comfortable with basic Python coding and have some understanding of machine learning basics, like how data is split.

Interested in Enroll?

If yes, then check out all the details here- Generative AI with Large Language Models

9. Responsible Generative AI Specialization

Time to Complete-	1 Month
Level-	Beginner
Rating-	4.8/5

This program will help you understand how this technology impacts business operations, consumers, society, the job market, and the environment.

You will learn to critically assess generative AI systems, including their new applications and limitations. The courses will cover the business and societal implications of generative AI, focusing on both new and existing concerns.

The specialization includes discussion forums and quizzes to help you test your knowledge. You will gain insights into making informed decisions about the development, use, and management of generative AI systems, including aspects of strategy, governance, and risk management.

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check it out here– Responsible Generative AI Specialization

Here the list of “Coursera Generative AI Courses” ends. I hope these Generative AI Courses will definitely help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Coursera Gen AI Courses Summary

S/N	Course/Specialization	Level	Who Should Enroll
1	Generative Adversarial Networks (GANs) Specialization	Intermediate	Those with knowledge of AI, deep learning, CNNs, intermediate Python skills, and basic math skills.
2	Generative AI Fundamentals Specialization	Beginner	Beginners.
3	Generative AI Automation Specialization	Beginner	Beginners.
4	Generative AI for Data Scientists Specialization	Intermediate	Data scientists, data analysts, engineers, and enthusiasts with prior data science experience.
5	Generative Deep Learning with TensorFlow	Intermediate	Those with previous knowledge of Python, TensorFlow, and deep learning.
6	Introduction to Generative AI Learning Path Specialization	Intermediate	Those with previous understanding of Python.
7	Generative AI for Software Developers Specialization	Intermediate	Software developers with prior software engineering knowledge.
8	Generative AI with Large Language Models	Intermediate	Those with basic Python coding skills and some understanding of machine learning basics.
9	Responsible Generative AI Specialization	Beginner	Beginners.

Conclusion

I tried to cover the 9 Best Coursera Generative AI Courses in this article. If you have any doubts or questions feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

Explore more about Artificial Intelligence.

Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden