5 Free Google AI Courses to Skyrocket Your Skills

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Are you ready to elevate your skills in Artificial Intelligence? Look no further than Google free AI courses! Harness the power of cutting-edge technology and propel your career to new heights with these top-notch resources.

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5 Free Google AI Courses to Skyrocket Your Skills

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About the Google

Google LLC 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 as 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

Here are 5 Free Google AI Courses

1.Introduction to AI and Machine Learning on Google Cloud

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.

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

2.Launching into Machine Learning

The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.

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.TensorFlow on Google Cloud

This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.

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

4.Introduction to Generative AI Learning Path

Generative AI has become super popular recently and thanks to continued advances, it’s still the talk of the town. We see novel generative AI applications making it to the market.

So whether you want to use generative AI models effectively or want to dive into how they work, the Generative AI Learning Path has got you covered. This learning path has following courses:

Introduction to Generative AI

Introduction to Large Language Models

Introduction to Responsible AI

Generative AI Fundamentals

Responsible AI: Applying AI Principles with Google Cloud

Course Link Click Here

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5.Prompt Design in Vertex AI

Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.


A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.

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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FAQ

What are some benefits of taking these free Google AI courses?

Cost-effective: Learn valuable AI skills without breaking the bank.
Flexible learning: Learn at your own pace and convenience.
Solid foundation: Gain fundamental knowledge in AI and machine learning concepts.
Practical skills: Develop hands-on experience with tools and techniques.
Career advancement: Position yourself for success in the growing AI field.

What is the target audience for these Google AI courses?

These courses cater to a broad range of individuals:
Beginners with no prior AI knowledge.
Professionals looking to enhance their existing AI skills.
Anyone curious about AI and its potential applications.

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