These are the 8 free AI courses from Google you don’t want to miss out!

Free AI courses from Google

Artificial Intelligence is rapidly changing the tech world. In the meantime, Google is offering you 8 free AI courses to help you get up to speed. Whether you’re just starting out or you’re already familiar with the basics, these courses cover everything from the fundamentals to advanced techniques. Let me break down each course for you and where you can access them.

Google’s 8 Free AI Courses

Introduction to Generative AI

Introduction to Generative AI is for beginners who are curious about AI and how it creates new things. This course explains Generative AI in simple terms. It covers what this technology is, how it’s different from regular machine learning, and where it’s used (like creating images, text, and music). Furthermore, you’ll explore Google’s tools for building your own AI projects.

Here’s the link for the course.

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Image Generation

If you are a developer who wants to learn how AI can create realistic and creative images, the Image Generation course by Google is a good start for you. It dives into diffusion models, a type of AI that learns to create images similar to what it’s trained on. You’ll also get hands-on experience using Google Cloud’s machine learning platform to train and deploy these models.

Introduction to AI course by Google

Here’s the link for the course.

Responsible AI

On the third of the list, we have Responsible AI. This course is designed for anyone interested in the ethics behind AI. This short course is all about creating AI responsibly. It explains the importance of ethics in AI development and gives you insight into Google’s seven AI principles (you will have to log into the course to find out the principles), which ensures that AI is developed fairly and safely.

Responsible AI

Here’s the link for the course.

Large Language Models (LLMs)

I think this is one of the most useful courses one can learn for free. This course will offer you the basic idea of large language models (LLM), the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. On top of that, it also covers Google tools to help you develop your own Gen AI apps.

Here’s the link for the course.

Transformer and BERT Models

Transformers and BERT (Bidirectional Encoder Representations from Transformers) are fundamental models in Natural Language Processing (NLP). This course explores the Transformer architecture, a powerful neural network design, and the BERT model, which leverages this architecture for various NLP tasks. You’ll learn about key components like the self-attention mechanism, which allows the model to focus on different parts of a sentence or text, and how they contribute to BERT’s impressive performance.

Here’s the link for the course.

Attention Mechanism

Attention Mechanism is designed for learners who want to dig deeper into AI’s inner workings. It is a technique used in artificial intelligence and machine learning that directs deep learning models to prioritize salient details (input data) and ignore details that are less important at the moment. The attention mechanism is a key feature of many AI models. This course shows you how it helps AI focus on important parts of data, like understanding specific words in a sentence. It’s an essential concept for anyone interested in how modern AI works.

Here’s the link for the course.

Introduction to Vertex AI Studio

If you are a developer looking to create and customize your AI model, this might be a good course for you (or even for beginners planning on development). Vertex AI Studio is a platform where you can build and tweak your own generative AI models. This course introduces you to the platform and walks you through creating multimodal applications (AI that works with text, images, and more). You’ll learn how to design prompts and fine-tune models to get the best results.

Introduction to Vertex AI Studio

Here’s the link for the course.

Create Image Captioning Models

Last but definitely not least, we have the Create Image Captioning Models course. This course is for anyone interested in building AI that connects images with text. This course teaches you how to build AI that can describe images. Moreover, it shows you how to train a model to look at a picture and automatically generate a caption. By the end, you’ll know how to create your own image captioning models for various projects.

Here’s the link for the course.

Conclusion

Upon the completion of these courses, you will get a certification from the google. So, whether you’re new to AI or looking to sharpen your skills, Google’s free courses cover most of the things you need to know. So, dive in right now!

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