7 Best Generative AI Courses on Udacity You Must Know in 2025

Best Generative AI Courses on Udacity

Are you looking for the Best Generative AI Courses on Udacity?… If yes, this article is for you. I will share the 7 Best Generative AI Courses on Udacity in this article.

So, give a few minutes to this article and find out the Best Generative AI Courses on Udacity.

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

Best Generative AI Courses on Udacity

1. Generative AI

Suitable For- Intermediate

Time to Complete- 4 Months

This course will guide you from the basics to becoming skilled in creating artificial intelligence.

You’ll start with the basics in the first course, where you’ll learn the essential stuff. Then, you’ll progress to mastering text creation with Large Language Models, which are super smart programs.

After that, you’ll dive into creating images with computers. Learn how to make cool pictures using fancy math and computer tricks.

Finally, you will learn how to use Generative AI in real life. Build chatbots and other helpful AI tools for everyday tasks.

Who Should Enroll?

  • Those who have previous database knowledge and intermediate Python.

Interested in Enroll?

If yes, then check it out hereGenerative AI

2. Generative AI Fundamentals

Suitable For- Intermediate

Time to Complete- 4 Weeks

In this course, you will learn about Generative AI basics. You will learn about popular models and how they work. You’ll also find out how deep learning models are made using tools like PyTorch and Hugging Face.

Plus, you’ll see how to change pre-trained models for your needs. Finally, you’ll try out a cool method called parameter-efficient fine-tuning (PEFT) in a project. It helps adapt big models without needing lots of computer power.

Who Should Enroll?

  • Those who have previous Intermediate Python knowledge.

Interested in Enroll?

If yes, then check it out hereGenerative AI Fundamentals

3. Large Language Models (LLMs) & Text Generation

Suitable For- Intermediate

Time to Complete- 4 Weeks

In this course, you’ll explore how computers understand and create language. You’ll also learn how to make your own chatbot using simple machine-learning methods.

You’ll start by learning about different types of Language Learning Models (LLMs) and what makes each one special. Then, you’ll dive into the details, like how computers break down words and sentences (tokenization) and how they focus on important parts (attention mechanisms).

Finally, you’ll get to build your own chatbot! You’ll discover how to combine a chatbot with some special words and sentences to make it work just the way you want.

Who Should Enroll?

  • Those who have previous Generative AI fluency and Intermediate Python.

Interested in Enroll?

If yes, then check it out hereLarge Language Models (LLMs) & Text Generation

4. Computer Vision and Generative AI

Suitable For- Intermediate

Time to Complete- 4 Weeks

In this course, you’ll learn how computers handle and understand pictures. Then, you’ll use the latest fancy AI to make brand-new images.

You will start by figuring out how computers deal with pictures, like how they see and understand them. Then, you will jump into the fun part: using super-smart AI to make cool new pictures.

Throughout the course, you’ll get to try out what you’ve learned with hands-on activities. By the end, you’ll know how to work with images and use AI to make awesome new ones.

Who Should Enroll?

  • Those who have previous knowledge of transformer neural networks, hugging faces, deep learning, etc.

Interested in Enroll?

If yes, then check it out hereComputer Vision and Generative AI

5. Building Generative AI Solutions

Suitable For- Intermediate

Time to Complete- 4 weeks

In this course, you’ll dive into making smart AI systems you can use in real life. You’ll learn practical skills and understand the theories behind them.

You’ll start by exploring semantic search, which is about teaching AI to understand and respond to human language. Then, you will look at vector databases, which help organize complex AI data.

You will also learn LangChain, a tool for creating language models, and explore how AI is applied in different areas.

By the end, you’ll know to build advanced AI systems that are user-friendly.

Who Should Enroll?

  • Those who have previous previous database knowledge and intermediate Python.

Interested in Enroll?

If yes, then check it out hereBuilding Generative AI Solutions

6. Building Generative AI Solutions with Vector Databases

Suitable For- Advanced

Time to Complete- 3 hours

In this lesson, you’ll learn about vector databases, which help AI remember things for a long time. You will learn about basic ideas, ways to find information and smart ways to organize data.

You’ll understand the main concepts of vector databases, how to find information easily, and some advanced tricks for sorting data. By the end, you’ll know how vector databases help AI remember better.

Who Should Enroll?

  • Those who have previous Generative AI fluency and Intermediate Python.

Interested in Enroll?

If yes, then check it out hereBuilding Generative AI Solutions with Vector Databases

7. Generative AI for Business Leaders

Suitable For- Intermediate

Time to Complete- 4 Weeks

In this course, you’ll learn how to make Generative AI work for your business. You’ll discover how to organize your team, workflows, and technology to make the most of Generative AI’s power for boosting innovation, cutting costs, and driving growth.

You’ll also create a step-by-step plan for launching Generative AI projects in just 100 days.

Who Should Enroll?

  • Those who have previous knowledge of Basic descriptive statistics.

Interested in Enroll?

If yes, then check it out hereGenerative AI for Business Leaders

And here is the list of 7 Best Generative AI Courses on Udacity. I would suggest you bookmark this article “7 Best Generative AI Courses on Udacity“ for future referrals. Now it’s time to wrap up.

Conclusion

I tried to cover the 7 Best Generative AI Courses on Udacity in this article. Feel free to ask me in the comment section if you have any doubts or questions.

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

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Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.

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