5 free courses on artificial intelligence offered by Google, details inside | Technology News

There is no particular age for a person to stop learning. As we embrace new innovations, developments, and transformations in our daily lives, we must have a receptive attitude towards learning new things. With the arrival of the era of artificial intelligence (simulated intelligence), the world is changing rapidly and so are many technologies in various sectors.

From the moment we wake up to check our smartphone to the moment we watch another movie suggested by Netflix, AI has rapidly made its way into our daily lives. Statista research indicates that the global AI market is expected to expand by up to 54% annually.


What is artificial intelligence?

A computer program can think and learn on its own thanks to artificial intelligence (AI). It is a recreation of human (and therefore artificial) intelligence in machines to do things that we normally rely on people to do. This technological marvel goes beyond mere automation, consolidating a wide range of AI capabilities that allow machines to understand, reason, learn and communicate in a human-like way.

An artificial intelligence program has the ability to learn and think for itself. Anything that consists of a program that performs a task that we normally assume a human being would perform can be considered artificial intelligence.


5 free AI courses offered by Google


Introduction to generative AI

Google offers a free course called “Introduction to Generative AI,” which aims to explain what generative AI is, how it is used, and how it differs from conventional machine learning techniques.


Goals:

• Define generative AI

• Describe how generative AI works

• Explain the types of generative AI models

• Explain the applications of generative AI.


Introduction to image generation

If you are interested in learning the theory behind broadcast models and how to prepare and broadcast them in Vertex AI, then this is a suggested course for members and can be taken for free.

Google says this course will cover diffusion models, a group of machine learning models that have recently shown promise in the field of image generation. Thermodynamics and physics are the main sources of inspiration for diffusion models. In recent years, diffusion models have become well-known in both research and industry.


Goals:

• Diffusion process models work

• Real use cases for diffusion models

• Unconditional diffusion models

• Advances in diffusion models (text to image)


Introduction to Responsible AI

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


Goals:

• Reason why Google implemented AI principles.

• Recognize the need for responsible AI practice within an organization.

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

• Identify 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 interactive lessons, demonstrations, and a hands-on lab, you will investigate the generative AI workflow and discover how to use Vertex AI Studio for Gemini multimodal applications, brief design, and model tuning. The goal is to enable you to leverage the power of these models in your projects with Vertex AI Studio.


Goals:

• Describes Vertex AI Studio.

• Use multi-modal Gemini with Vertex AI Studio.

• Design alerts applying configurations and best practices.

• Adjust models by exploring different methods and processes.


Build real-world AI applications with Gemini and Imagen

Are you interested in learning more about deploying applications on the Vertex AI platform, image recognition, natural language processing, and image generation using Google’s powerful Gemini and Image models? Interested participants should enroll in the Gemini and Image course, which Google recommends.

First published: August 12, 2024 | 18:51 IS

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