That artificial intelligence is already here is undeniable, but that it will be an important part of the future as well. Practically all companies are putting their batteries in the matter: Microsoft investing in OpenAI, Google with Bard, etc. However, there is one big absent from that list: Apple.
Ming-Chi Kuo, who is an expert when it comes to branding, recently explained in a post that the progress of Apple’s generative AI is far behind its competitors. It seems that those from Cupertino are not doing very well in this regard, although now, thanks to Google, you can learn about it with 10 free courses.
Introduction to Generative Artificial Intelligence
This first course is what is known as a mixed bag —not a “disaster”— and it is a good way to start learning about the subject. They explain basic and essential concepts so that we have a solid foundation on which to build and accumulate knowledge.
Fundamentals of Generative Artificial Intelligence
This course continues to delve into what was explained in the previous. It explains in greater detail all that you have to control “by heart” in order to become an expert. In addition, it begins to enter the world of LLM (Large Language Models).
Generate images with artificial intelligence
Surely you have ever heard, seen or tried applications that are capable of generate images that you describe with text. If you’re wondering how that works, this course is for you.
Learn about Large Language Models
A moment ago we explained that one of these free courses was beginning to enter the world of LLM, and this is what you have to do next if you liked the previous one. This course deals more intensively with the matter in case you want to continue training.
Remember to make responsible use of artificial intelligence
This course is focused on the 7 general principles on the use of artificial intelligence. However, this technology gives rise to important moral debates and ethical lines that should not be crossed. It is perhaps one of the most important things, and recommended for all those who are interested.
Encoder-Decoder Architecture
Definitely one of the most complex on the list. It goes into a lot of technical stuff and pretty exhaustively summarizes the encoder-decoder architecture, which is vitally important to the subject. If you are interested in gaining in-depth knowledge, this may be your course.
Make your artificial intelligence coherent
The attention mechanism course will teach you how your artificial intelligence knows focus on a specific work stream. In this way, you will be more orderly, your actions will make more sense, your performance will increase and your productivity will be greater.
Transformer and BERT models
In this course you will be taught some of the most important things for the development of artificial intelligence. Being more specific, here you will learn models that are vital for the development of AIs that can answer questions, understand texts, summarize and classify them.
Get your AI to recognize images
If you love describing an image to an artificial intelligence and drawing it, wait until you show it one and it explains perfectly what it is. Thanks to this course you will not only be able to learn how it is done, but at the end of it you will have the possibility to do it yourself.
From the theory to the practice
With this latest course from Google you will be able to learn how to integrate and apply all that you have learned so far in your own applications. In this way, you will be able to get the maximum potential out of it, and customize it as you need you specifically.
As you can see, if you like the subject, these courses are something you should definitely check out. They are completely free and are taught by one of the largest technology companies in the world. They cover a whole range of possibilities, and whether you’re just curious or if this is your profession, you’re sure to find something that appeals to you.
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