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 cost a dime. Google offers several online courses focused on generative AI, large-scale language models, image creation, and the Vertex AI platform. Many of them are also suitable for complete beginners, and you can earn digital badges by completing selected courses.
Courses are held online via Google Education Platform. Cloud skill boost. Some can be completed in less than an hour, while others are more detailed and include hands-on demonstrations. We’ve selected nine courses you can take to better understand the technology behind the current AI boom.
Generative AI overview
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 you can use to build your own applications using generative AI.
Jump to course overview Generative AI
Overview of large-scale language models
For example, large-scale language models (LLMs) are behind modern AI. Chatbots and various other tools. This course explains what LLM is, how it works, and where it can be used. It also includes an overview of prompt tuning, which allows you to tailor model behavior to specific tasks.
Go to the large course Introduction to Language Models.
Overview of responsible AI
As AI capabilities grow, so too will safety, privacy, and accountability. These are the topics Google focuses on in its Introduction to Responsible AI course. In it, Google introduces principles for responsible AI development and explains why fairness, transparency, and privacy are important when creating new technologies.
Go to the Responsible AI Introductory Course
Image generation overview
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. Attendees will learn the basic principles and how to train and deploy models using the Vertex AI platform.
Go to the introductory image generation course
Encoder/decoder architecture
A more technical course introduces encoder/decoder architectures used in sequence processing. Participants will learn what parts these models consist of and how they are trained. This course also includes a hands-on demonstration of creating a simple model using Tensorflow.
Take the Encoder/Decoder Architecture course
attention mechanism
Attention mechanisms are one of the most important technologies of modern artificial intelligence. This allows the NeuroNu network to focus on the most important parts of the input data, which is used for machine translation, summarizing text, answering questions, and more. The course is relatively short, taking approximately 45 minutes to complete.
Go to Attention Mechanisms Course
Creating an image caption model
This course shows you how to use deep learning to create a system that can automatically generate text descriptions for images. Participants will learn the principles of encoders and decoders and learn how to train such models and evaluate their results.
Go to the Image Caption Model Creation course
Overview of Vertex AI Studio
Vertex AI Studio is a Google platform designed for developing applications using generative artificial intelligence. This course teaches you how to prototype AI solutions, work with prompts, and use Gemini models. There are also real-world examples of collaboration with Google. Clouds and procedures you can use to prepare your AI applications for deployment in the real world.
Go to Vertex AI Course Studio Introduction
Fundamentals of generative AI
If you want to get a broader overview of generative artificial intelligence, this course might also be an interesting choice. Basics of generative AI. We will focus on the basic principles of technology that allow you to create new content such as text, images, and programming code. This course will help you understand the difference between classical and generative artificial intelligence and introduce you to the technologies behind current AI developments.
Jump to course Fundamentals of Generative AI
Get started in minutes
The biggest advantage of these courses is their accessibility. All you need to complete is an account and an internet connection. For example, beginners can start with an introductory course. From an introduction to generative AI and large-scale language models, experienced users can delve into technically focused topics such as attention mechanisms, encoder-decoder architectures, and working with Vertex AI.
If you’re interested in AI or want to learn skills for your future career, Google’s free courses are an easy way to get started. Some courses can be completed in an afternoon, and some also include a digital badge upon completion to prove you completed the program.
