5 free AI courses offered by Google that you won’t want to miss

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There is no particular age for a person to stop learning. As we welcome new technologies, developments, and changes in our daily lives, it is important that we keep an open mind to learn new things. Artificial Intelligence (AI) has been introduced to us and is making waves with various developments in various fields.

There is no particular age for a person to stop learning. As we welcome new technologies, developments and changes in our daily lives, it is important that we keep an open mind to learn new things. (Representative photo)
There is no particular age for a person to stop learning. As we welcome new technologies, developments and changes in our daily lives, it is important that we keep an open mind to learn new things. (Representative photo)

For those who want to take up new challenges and learning avenues, here are 5 AI courses offered by Google that are free for everyone.

Introduction to Generative AI

Interested participants can join this free ‘Introduction to Generative AI’ course offered by Google that aims to explain what generative AI is, how it is used, and how it differs from traditional machine learning methods.

Objective:

Define Generative AI

Explain how generative AI works

Describe generative AI model types

Describe generative AI applications

Introduction to Image Creation

If you are interested in becoming familiar with the theory behind diffusion models and how to train and deploy them on Vertex AI, this is a course that is recommended for participants and can be taken for free.

According to Google, this course introduces diffusion models, a family of machine learning models that have recently shown promise in the image generation space. Diffusion models draw inspiration from physics, particularly thermodynamics. Over the past few years, diffusion models have become popular in both research and industry.

Objective:

How Diffusion Models Work

Real Use-Cases for Diffusion Models

Unconditional diffusion model

Advances in diffusion models (from text to image)

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Introduction to Responsive AI

According to Google, the course Introduction to Responsible AI is an introductory-level microlearning course that aims to explain what responsible AI is, why it is important, and how Google implements responsible AI in its products. It also introduces Google’s 7 AI principles.

Objective:

Understand why Google implemented AI principles.

Identify the need for responsible AI practice within an organization.

Understand that decisions made at all stages of a project have an impact on responsible AI.

Understand that organizations can design AI to suit their business needs and values.

Introducing Vertex AI Studio

This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you will explore the generative AI workflow and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuning. The aim is to enable you to unlock the potential of these models in your projects with Vertex AI Studio.

Objective:

Explain what Vertex AI Studio does.

Use Gemini Multimodel with Vertex AI Studio.

Prompt design by implementing configuration and best practices.

Tune the model by exploring different methods and procedures.

Build real-world AI applications with Gemini and Imagen

Are you interested in learning more about image recognition, natural language processing, image generation using Google’s powerful Gemini and Imagen models, deploying applications on the Vertex AI platform? Google suggests interested participants to build real-world AI applications with Gemini and Imagen courses.

Also read: List of scholarships to help students achieve their dreams

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