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10 Best Large Language Models Courses and Training (LLMs)

Source: https://www.mltut.com/best-large-language-models-courses/ Are you looking for theBest Large Language Models Courses and Training (LLMs)?… If yes, this article is for you. I will share the 10 Best Large Language Models Courses and Training (LLMs) in this article.

So, give a few minutes to this article and find out theBest Large Language Models Coursesfor you.

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

1. 1. Introduction to Large Language Models- Coursera
2. 2. Generative AI with Large Language Models- Coursera
3. 3. Large Language Models (LLMs) Concepts- DataCamp
4. 4. Prompt Engineering for ChatGPT– Vanderbilt University
5. 5. Introduction to LLMs in Python- DataCamp
6. 6. ChatGPT Teach-Out– University of Michigan
7. 7. Large Language Models for Business- DataCamp
8. 8. Introduction to Large Language Models with Google Cloud- Udacity FREE Course
9. 9. Finetuning Large Language Models- Coursera
10. 10. LangChain with Python Bootcamp- Udemy
11. Conclusion

1.Introduction to Large Language Models– Coursera

Rating-4.3/5Suitable for-BeginnerTime to Complete-1 hourIn this course, you’ll learn about big talking computers called large language models (LLMs) and how they can do cool things!You will find out what they are, where they are handy, and a neat trick called prompt tuning to make them even better. You’ll watch a15-minute videoto get the basics, spend10 minutes readingto know more, and take an8-minute quizto see what you’ve learned.

**But wait, there’s more!**You’ll also hear about Google tools that can help you make your own cool apps using these big talkers. Whether you’re really good with tech or just curious, this course is your way to understand how these big-talking computers can make a real impact in the world of super-smart machines.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check out all the details here-Introduction to Large Language Models

2.Generative AI with Large Language Models– Coursera

Rating-4.8/5Suitable for-IntermediateTime to Complete-16 hoursIn this course, you will exploreGenerative 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 thelife 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 opportunitiesgenerative 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

3.Large Language Models (LLMs) Concepts– DataCamp

Rating-4.4/4Suitable for-IntermediateTime to Complete-2 hoursIn this course, you’llexplorethe interesting world of Large Language Models (LLMs) and see how they’re changing the field of AI. You’ll find out why LLMs are becoming popular, thanks to things like thedeep learning revolution, more data available, and better computers. As you go along, discover how LLMs play a big role in real-life areas likefinance and creating content.

You willlearnabout the important parts of LLMs, like how they understand language and get better with practice. Explore the ways LLMs are trained, including cool techniques likepredicting the next word and using attention.

By the end of it all, you’ll have a good understanding of LLMs, what they can do, where they’re used, and what challenges they bring.

Who Should Enroll?

• Those who have a previous understanding of Machine Learning.

Interested in Enroll?

If yes, then check out all the details here-Large Language Models (LLMs) Concepts

4.Prompt Engineering for ChatGPT– Vanderbilt University

Rating-4.8/5Suitable For-BeginnerTime to Complete-18 hoursIn this course, you’ll learn how to make the most of large language models likeChatGPT. You will discover theart of prompt engineeringto get better results from ChatGPT.

You will also exploreprompt patternstap into the model’s impressive capabilities and createcomplex applicationsfor your life, business, or education using prompts.

Overall, this course providespractical skillsand empowers you to unlock the full potential of large language models.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then start learning here-Prompt Engineering for ChatGPT

5.Introduction to LLMs in Python– DataCamp

**Rating-4.4/5Suitable For-IntermediateTime to Complete-**4 hoursIn this course,you’ll explore the world of Large Language Models (LLMs), which play a big role in doing cool stuff in AI.You’ll get hands-on experiencein understanding, creating, and using LLMs for tasks like translating languages, generating text, and answering questions.

Through easy coding exercises,you’ll break down transformers, the cool tech that powers LLMs, and language systems.You’ll also check out pre-trained language models and datasets from Hugging Face, a helpful resource for using LLMs in your projects.

By the end of the course, you’ll be able to build LLMs using different tech, tweak pre-trained models, and understand advanced ideas like Reinforcement Learning from Human Feedback (RLHF). You will also learn about how LLMs are used in the real world, discussing challenges and thinking about what’s right and fair.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check out all the details here-Introduction to LLMs in Python

6.ChatGPT Teach-Out– University of Michigan****

Rating-4.5/5Suitable for-BeginnerTime to Complete-6 hoursIn this Teach-Out, you will learn aboutartificial intelligenceand delve into the workings of large language models and chatbots likeChatGPT.

The course focuses on the**ethical use of AI, authorship implications, and the potential regulation of tools like ChatGPT.**You’ll explore its launch, the concerns it raised, and the perspectives of experts in communication technology, AI, and law.

The Key questions addressed include thebenefits and drawbacks of ChatGPT, legal implications, societal and educational responses, and future integration possibilities.

Overall, you will gain acomprehensive understanding of ChatGPTand its impact on our world.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then start learning here-ChatGPT Teach-Out

7.Large Language Models for Business– DataCamp

**Rating-4.5/5Suitable for-BeginnerTime to Complete-**1 hourIn this course,you will learn about the impact of Large Language Models (LLMs) on businesses.You’ll explore how LLMs are changing different business areas, like finance and content creation. Through practical case studies,you’ll see how LLMs are making a difference.

You will learn how LLMs are used in real-world business situations, discovering their power to make things more efficient, automated, and innovative for companies like yours.

Talking about challenges and things to think about,you will explore ethical and environmental aspects related to LLMs in business, such as taking care of data privacy and sustainability.

By the end of the course,you will have a clear understanding of how LLMs impact businesses, what they can do, and the challenges they bring.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check out all the details here-Large Language Models for Business

8.Introduction to Large Language Models with Google Cloud– Udacity FREE Course

Rating-4.5/5Suitable for-BeginnerTime to Complete-45 minutesIn this course,you’ll learn about Large Language Models (LLMs). The focus is on understanding what LLMs are, their various applications, and the technique ofprompt tuning to improve LLM performance.

No prior experience is necessaryfor this introductory course, making it accessible to beginners. The content revolves around providing a foundational understanding of LLMs and their practical usage.

Who Should Enroll?

• Those who are beginners.

Interested in Enroll?

If yes, then check out all the details here-Introduction to Large Language Models with Google Cloud

9.Finetuning Large Language Models– Coursera

Rating-4.7/5Suitable for-IntermediateTime to Complete-1 hourIn this project, you will work on a short course. It’s all about quickly understanding how tofine-tune big language models.You’ll use your own data to train the model and make it better using the latest tricks.

By the end, you’ll know when to fine-tune these models, get your data ready, and train and check how well your model is doing. It’s different from other methods becauseyou get to use your own data to teach the model new things. This helps the model learn style, and form, and gain new knowledge for better results.

Who Should Enroll?

• Those who have Python familiarity, and an understanding of a deep learning framework such as PyTorch.

Interested in Enroll?

If yes, then check out all the details here-Finetuning Large Language Models

10.LangChain with Python Bootcamp– Udemy

Rating-4.7/5Suitable for-IntermediateTime to Complete-7.5 hoursIn this course, you’ll find out how to useLangChain for handling Model Inputs and Outputs, making it easy for you to switch out Large Language Models (LLMs). Learn how to connect data withVector Databases like ChromaDB along with your LLMs and LangChain.

You’ll also learn how to useLangChain memory to keep track of conversations between you and the AI. Plus, you’ll get the hang of usingLangChain to create custom agents, helping you do different tasks easily with LLMs.

Who Should Enroll?

• Those who have previous Python Programming experience and familiarity with OpenAI.

Interested in Enroll?

If yes, then check out all the details here-LangChain with Python Bootcamp

Here the list of “Best Large Language Models Courses and Training (LLMs)” ends. I hope these Best Large Language Models Courses and Training (LLMs) will definitely help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

I tried to cover the 10 Best Large Language Models Courses and Training (LLMs) in this article. If you have any doubts or questions feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

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Thought of the Day…

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Written ByAqsa Zafar

Aqsa Zafar is a Ph.D. scholar in Machine Learning at Dayananda Sagar University, specializing in Natural Language Processing and Deep Learning. She has published research in AI applications for mental health and actively shares insights on data science, machine learning, and generative AI through MLTUT. With a strong background in computer science (B.Tech and M.Tech), Aqsa combines academic expertise with practical experience to help learners and professionals understand and apply AI in real-world scenarios.