In 2024, the demand for artificial intelligence (AI) skills is skyrocketing, making it essential for professionals and students alike to enhance their knowledge in this field. Fortunately, Google offers a variety of best AI courses that are not only comprehensive but also available for free. This post will explore the top five Google AI courses you can take online for free in 2024, helping you to kickstart your journey in AI.
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Table of Contents
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About the Google
Google is an American multinational corporation and technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, consumer electronics, and artificial intelligence (AI). It has been referred to as “the most powerful company in the world” and is one of the world’s most valuable brands due to its market dominance, data collection, and technological advantages in the field of AI.
Google’s parent company, Alphabet Inc., is one of the five Big Tech companies, alongside Amazon, Apple, Meta, and Microsoft.
Google was founded on September 4, 1998, by American computer scientists Larry Page and Sergey Brin while they were PhD students at Stanford University in California.
Together, they own about 14% of its publicly listed shares and control 56% of its stockholder voting power through super-voting stock. The company went public via an initial public offering (IPO) in 2004.
In 2015, Google was reorganized as a wholly owned subsidiary of Alphabet Inc. Google is Alphabet’s largest subsidiary and is a holding company for Alphabet’s internet properties and interests. Sundar Pichai was appointed CEO of Google on October 24, 2015, replacing Larry Page, who became the CEO of Alphabet. On December 3, 2019, Pichai also became the CEO of Alphabet
Eligibility Criteria
Top 5 Google best AI courses For Everyone.
Here are the Top 5 Google best AI courses
1. Introduction to Generative AI
This is an introductory-level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine-learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!
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2. Introduction to Large Language Models
This is an introductory-level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!
Course Link Click Here
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3. Introduction to Responsible AI
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products. It also introduces Google’s 7 AI principles.
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4. Introduction to Image Generation
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry
. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!
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5.Generative AI Explorer – Vertex AI
The Generative AI Explorer – Vertex Quest is a collection of labs on how to use Generative AI on Google Cloud. Through the labs, you will learn about how to use the models in the Vertex AI PaLM API family, including text-bison, chat-bison, and textembedding-gecko. You will also learn about prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more.
You will also learn how to tune a foundation model by training it via Vertex AI custom training and deploy it to a Vertex AI endpoint.
When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!
Course Link Click Here
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