Google Offering Top 10 AI Courses Free
With the fastest growth of generative AI, we are entering a new time of innovation and creativity. Google understands that people need to learn new skills to keep up with these changes. So, they have started offering free courses to teach people about generative AI. Mirasys India has noticed this and pointed out how it can change different industries and the way we use technology.
Google has started a new educational program with ten courses that teach the basics of generative AI and how to use it. These courses are free, and anyone who wants to learn can join them on Google Cloud Skills Boost.
Here’s an overview of what each course offers:
1. Introduction to Large Language Models (LLM).
Students will learn about large language models, what they are used for, and how to make them work better with prompt tuning. The course also teaches about Google tools and takes about 45 minutes to finish.
2. Introduction to Responsible AI.
This course explains Google’s seven AI principles, why responsible AI is important and how Google uses it.
3. Generative AI Fundamentals.
By finishing the first three courses and passing a final quiz, students can earn a skill badge. This badge shows they understand the basics of generative AI.
4. Attention Mechanism.
This course explains the attention mechanism, which helps neural networks by focusing on certain parts of an input. This makes tasks like translating languages work better.
5. Introduction to Image Generation.
This course teaches about diffusion models, which are used to create images. It explains how these models work and how to train and use them on Vertex AI.
6. Encoder-Decoder Architecture.
Students will gain knowledge of encoder-decoder architecture, used for translating languages and summarizing text. Additionally, this course features a TensorFlow lab for hands-on practice.
7. Create Image Captioning Models.
This course teaches students how to make image captioning models using deep learning. It explains the encoder and decoder parts and how to train and test the model.
8. Introduction to Generative AI.
This course introduces the fundamentals of generative AI and explaining its difference from traditional machine learning. It also introduces Google tools for creating generative AI applications. This course usually takes around 45 minutes to finish.
9. Transformer Models and BERT Model.
In this course, you’ll learn about the Transformer architecture and the BERT model. It explains things like the self-attention mechanism and how they’re used in tasks like sorting text into different categories.
10. Introduction to Generative AI Studio.
This course talks about Generative AI Studio on Vertex AI. It helps to create and adjust generative AI models. The course has demonstrations and a quiz to check what you’ve learned.
Google is dedicated to helping future AI experts grow with this project. After finishing the courses, students get a “Completion Badge” from Google Cloud, showing they know about generative AI.
These courses are a big chance for people who want to learn about AI. With these tools and knowledge, students can start an exciting journey, joining the generative AI revolution and helping to make new things.
For more information and to enroll in the courses, visit Google Cloud Skills Boost.