Artificial intelligence is changing the job market faster than anyone could have imagined just a few years ago. The good news is that learning the basics of AI doesn’t have to cost a penny. Google offers several online courses focused on generative AI, large language models, image creation, or the Vertex AI platform. Many of them are suitable even for complete beginners, and after completing selected courses, you can earn a digital badge.
Courses are held online via the Google Education Platform. Cloud Skills Boost. Some can be completed in less than an hour, others are more in-depth and include hands-on demonstrations. We've selected nine courses that you can take to gain a better understanding of the technologies behind the current AI boom.
Introduction to Introduction to Generative AI
This is the perfect course for anyone who wants to understand what generative artificial intelligence actually means. Google explains the basic principles of generative AI, how it works, and how it differs from traditional machine learning methods. You'll also learn about Google's tools that can be used to build your own applications using generative AI.
Go to Introduction to course Generative AI
Introduction to Large Language Models
Large Language Models, or LLMs, are behind modern AI, for example. chatbots and a variety of other tools. The course explains what LLMs are, how they work, and where they can be used. It also includes an introduction to prompt tuning, which allows you to adjust the behavior of models for specific tasks.
Go to Introduction to Large course Language Models
Introduction to Responsible AI
As AI capabilities grow, so do safety, privacy, and responsibility. These are the topics that Google focuses on in its Introduction to Responsible AI course. In it, Google introduces the principles of responsible AI development and explains why fairness, transparency, and privacy are important when creating new technologies.
Go to Introduction to Responsible AI course
Introduction to Image Generation
Image generation is one of the most exciting areas of artificial intelligence today. This course focuses on the diffusion models that underpin many modern image generators. Participants will learn about their basic principles and how to train and deploy models using the Vertex AI platform.
Go to Introduction to Image Generation course
Encoder-Decoder Architecture
A slightly more technical course introduces the encoder-decoder architecture used in sequence processing. Participants will learn what parts these models consist of and how they are trained. The course also includes a practical demonstration of creating a simple model using Tensorflow.
Go to Encoder-Decoder Architecture course
Attention Mechanism
The attention mechanism is one of the most important technologies of modern artificial intelligence. It allows neuronew networks to focus on the most important parts of the input data and is used, for example, in machine translation, text summarization or answering questions. The course is relatively short and takes approximately 45 minutes to complete.
Go to the Attention Mechanism course
Create Image Captioning Models
This course shows how to use deep learning to create a system capable of automatically generating text descriptions of images. Participants will learn the principles of an encoder and decoder, and learn how to train such a model and then evaluate its results.
Go to Create Image Captioning Models course
Introduction to Vertex AI Studio
Vertex A.I Studio is a Google platform designed for developing applications using generative artificial intelligence. The course shows how to prototype AI solutions, work with prompts, and use models GeminiThere are also practical examples of working with Google. Cloud and procedures that can be used to prepare AI applications for real-world deployment.
Go to Introduction to Vertex AI course Studio
Generative AI Fundamentals
If you want to get a broader overview of generative artificial intelligence, the course may also be an interesting choice. Generative AI Fundamentals. Focuses on the basic principles of technologies capable of creating new content, such as text, images, or programming code. The course helps to understand the differences between classical and generative artificial intelligence and introduces the technologies behind current AI developments.
Go to course Generative AI Fundamentals
You can get started in minutes
The biggest advantage of these courses is their accessibility. All you need to complete them is an account and an internet connection. Beginners can start with the Introduction to course, for example. Generative AI or Introduction to Large Language Models, while more experienced users can delve into technically focused topics such as attention mechanisms, encoder-decoder architecture, or working with Vertex AI.
If you're interested in AI or want to gain skills for your future career, Google's free courses can be an easy way to get started. Some can be completed in an afternoon, and select courses also include a digital badge upon completion to prove you've completed the program.
That's another excuse, right at the beginning it wants to scan a QR code...