The fact that artificial intelligence already exists is undeniable, but it will also be an important part of the future. Practically all companies put their batteries into the cause: Microsoft invests in OpenAI, Google with Bard, etc. However, one big company is missing from this list: Apple.
Ming-Chi Kuo, branding expert, recently explained in a post that the progress of Apple’s generative artificial intelligence far behind competitors. It seems that the Cupertinos are not doing very well in this regard, although now, thanks to Google, you can learn about it in 10 free courses.
Introduction to Generative Artificial Intelligence
This first course is what is known as a “mixed bag” rather than a “catastrophe.” a good way to start learning a subject. They explain the basic and important concepts so that we have a solid foundation from 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 more detail everything you need to learn “by heart” to become an expert. In addition, he is starting to enter the world of LLM (Large Language Models).
Create images with artificial intelligence
Surely you have heard, seen or tried applications that can generate images that you describe with text. If you’re wondering how it works, this course is for you.
Learn about large language models
We explained a minute ago that one of these free courses is starting to enter the LLM world and that’s what you need to do next if you liked the previous one. This course deal more intensively with this issue. if you want to continue learning.
Remember to use artificial intelligence responsibly
This course focuses on the 7 general principles of using artificial intelligence. However, this technology raises important moral debates and ethical boundaries that must not be crossed. This is perhaps one of the most important things, and is recommended for anyone who is interested.
Definitely one of the hardest on the list. It includes a lot of technical details and describes in some detail the encoder-decoder architecture which is vital to the subject. If you are interested in gaining in-depth knowledge, this might be the course for you.
Make your artificial intelligence connected
The Attention Mechanism course will teach you how your artificial intelligence knows focus on a specific workflow. In this way, you will be more organized, your actions will be more meaningful, your productivity will increase, and your productivity will increase.
Transformer and BERT Models
This course will teach you some of the most important things for the development of artificial intelligence. More specifically, here you will learn the models needed to develop AI that can answer questions, understand texts, generalize and classify them.
Make your AI recognize images
If you enjoy describing an image to AI and drawing it, wait until you show it and it will perfectly explain what it is. Thanks to this course, you will not only learn how to do it, but at the end of it you will be able to do it yourself.
From theory to practice
With this latest course from Google, you’ll be able to learn how to integrate and apply everything you’ve learned in your own applications. In this way, you will be able to extract the maximum potential from it and customize it as you need you specifically.
As you can see, if you like the subject, you should definitely take these courses. They are completely free and taught by one of the largest technology companies in the world.. They cover a range of possibilities, and whether you’re just curious or it’s your profession, you’re sure to find something you’ll love.
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