Ready to explore the exciting world of generative AI and large language models (LLMs)? This IBM course, part of the Generative AI Engineering Essentials with LLMs Professional Certificate, gives you practical skills to harness AI to transform industries.
Designed for data scientists, ML engineers, and AI enthusiasts, you’ll learn to differentiate between various generative AI architectures and models, such as recurrent neural networks (RNNs), transformers, generative adversarial networks (GANs), variational autoencoders (VAEs), and diffusion models. You’ll also discover how LLMs, such as generative pretrained transformers (GPT) and bidirectional encoder representations from transformers (BERT), power real-world language tasks. Get hands-on with tokenization techniques using NLTK, spaCy, and Hugging Face, and build efficient data pipelines with PyTorch data loaders to prepare models for training. A basic understanding of Python, PyTorch, and familiarity with machine learning and neural networks are helpful but not mandatory. Enroll today and get ready to launch your journey into generative AI!
SK
I would expect more hands on and code submissions
BB
Too fast reading of the slides without much of explanations.
GO
I love the structure and the content in this course. I can't wait applying the skills I have acquired!
JV
The course was great. Very clear and insightful, and made with passion
VK
I am pretty much new to NLP data preparation. However this course made me comfortable with Date preparation activities.
IE
I have learned so much from this course and I can't wait to start my AI career.
YL
This is a fairly easy course, focusing on introducing the high-level concepts, without too much hands-on practices
G
Really improves knowledge and has significant insights
AB
One of the finest courses for getting the basics correct for GenAI
SH
his course is sufficient to introduce the different architectures of LLMs and enable you to prepare data for training models.
AS
gives a clear overview on genai - basics specifically tokenization, & data loader concepts
TL
this course was very beneficial with detail material and easy to understand
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This is an extremely un-educational course and a hugely frustrating experience from a seasoned learner's perspective. It is fundamentally a voice going through whatever info appears on a series of slide stacks just like a robot would. There is no effort whatsoever in trying to make you understand anything and no actual time to do it while you hear the voice running through the text. The only practical way to acquire the knowledge contained in the slides is to stop every 30 seconds, read, look up somewhere else (google, forums...) to actually consolidate the knowledge, and then click the play button again. I am a proficient and quick learner and have a good background on neural networks and gen-ai use and programming and I was completely incapable of following the explanations given in this course after the first 5 minutes: boring, robotic, ineffectual, and very counter-productive. This has been a very frustrating experience from a learner's perspective and my advice would be to take this course out and rethink it from scratch, as it certainly does not serve its purpose at all. I left one star because the knowledge is actually there in the slides. The information is contained in the slides, it is simply never actually conveyed to the audience by the reading robotic entity in charge.
Was waiting for a course like this for a long time. Very happy with it. Library installation on labs seems a bit slow
I think this course needs a couple of hours more with more detail on the architecture and coding. I did get useful information from Coach and ChatGPT though, but it might be more precise if its in the course.
As someone who recently took up this course, I must say it has been an incredible journey into the world of generative AI! The course covers a perfect blend of theoretical and hands-on learning, making complex concepts like LLM architectures and generative models feel much more approachable. What stood out to me was how clearly the differences between various generative models were explained, including their unique training approaches. The module on building a chatbot using the Hugging Face transformers library was especially exciting. It’s amazing how we got to implement something so practical and see it come to life! The course didn’t just stop at theory; it also guided us through implementing a data loader with PyTorch's DataLoader class, which gave a solid understanding of real-world application. Overall, this course is perfect for anyone wanting to dive deep into generative AI, particularly in the field of NLP. Highly recommend it!
Extremely comprehensive course, goes in great detail about all the different Generative AI architectures and models, and the different tokenization methods used that enable us to have NLP, it explains them thoroughly, and then provides you with a lab so that you get to experiment and apply this info in a practical setting. Personally I respect courses that truly give you fundamental information, and not just narrate general information, through experience I noticed IBM courses out of all course providers care about making their course as useful as possible, many other course creators spend more time setting up cameras in professional studios with flashy editing, to make their course look good, rather than being informative. IBM in the other hand is all about knowledge, and nothing more.
I recently completed the course "Generative AI and LLMs: Architecture and Data Preparation," and it was an outstanding experience! The content was well-structured and provided deep insights into the architecture and data handling essential for working with large language models. The instructors were knowledgeable and engaging, making complex concepts easy to grasp. I highly recommend this course to anyone looking to enhance their understanding of generative AI!
De fácil compreensão e com um aprendizado profundo, é uma excelente oportunidade para aprender sobre o assunto do momento.
I am pretty much new to NLP data preparation. However this course made me comfortable with Date preparation activities.
I love the structure and the content in this course. I can't wait applying the skills I have acquired!
Easy to follow course with good clarification of complex concepts. Thanks to IBM and to course team.
A clear introduction on GAI and LLM, with some exercises to get familiar with the implementation
this course is great but I need the digital badges to be added to Credly, how can I do that?
gives a clear overview on genai - basics specifically tokenization, & data loader concepts
It was very informative and I enjoyed the journey I learned the patterns from the deep.
excelente curso , describe acertadamente los diferentes modelos de IA y tokenizacion
I love this course, it is what I was looking for a long time, Thank you IBM team !
I have learned so much from this course and I can't wait to start my AI career.
this course was very beneficial with detail material and easy to understand
Aborda los conceptos clave y te enseña a implementarlos, muy buen curso.
The course was great. Very clear and insightful, and made with passion