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

There is no specific age for a person to stop learning. As we welcome new technologies, advancements, and changes in our daily lives, it is imperative that we have an open mind towards learning new things. Artificial Intelligence (AI) has come before us and is making waves with various advancements in different sectors.

There is no specific age for a person to stop learning. As we welcome new technologies, advancements, and changes into our daily lives, it is imperative that we have an open mind to learning new things. (Representative photo)

For all those who want to take on new challenges and learning paths, 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, which aims to explain what Generative AI is, how it is used, and how it differs from traditional machine learning methods.

Goals:

Defining generative AI

Explain how generative AI works

Describe the types of generative AI models

Describe generative AI applications

Introduction to image generation

If you are interested in learning the theory behind diffusion models and how to train and deploy them in Vertex AI, this is a recommended course 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 field of imaging. Diffusion models are inspired by physics, specifically thermodynamics. In recent years, diffusion models have become popular in both research and industry.

Goals:

How diffusion models work

Real use cases for diffusion models

Unconditional diffusion models

Advances in diffusion models (text to image)

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Introduction to Responsible AI

According to Google, the Introduction to Responsible AI course 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.

Goals:

Understand why Google has implemented AI principles.

Identify the need for responsible AI practice within an organization.

Recognize that decisions made at all stages of a project impact responsible AI.

Recognize that organizations can design AI to fit their own business needs and values.

Introduction to 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, rapid design, and model tuning. The goal is to enable you to harness the potential of these models in your projects with Vertex AI Studio.

Goals:

Explain what Vertex AI Studio does.

Use multi-modal Gemini with Vertex AI Studio.

Design alerts by applying configurations and best practices.

Fine-tune models by exploring different methods and processes.

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 Image models, and deploying applications on the Vertex AI platform? Google suggests the Building Real-World AI Applications with Gemini and Image course for interested participants.

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