The Google free online courses on AI are comprehensive and cover all the essential aspects of AI. The courses are divided into several modules, each focusing on a specific aspect of AI. The modules include machine learning, natural language processing, computer vision, and more. The courses also include practical projects that allow students to apply the skills they have learned in real-world situations.
Also, Read: Techno-Sapiens 2024: AI/ML Inter-college Technical Fest by IITM Janakpuri Apply by (Mar 15-16)
Also, Read: Microsoft Launched Free Certification Course {NEW} | Microsoft Cybersecurity Professional Certificate
Table of Contents
About the Google
Google is an American multinational technology company focusing on online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, consumer electronics artificial intelligence,. 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 artificial intelligence. 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.
For more Updates Join my Telegram Group Click Here
Here are Google Offering Free Online Courses on Artificial Intelligence
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.
Course Link Click Here
2. Introduction to Large Language Models
This module 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.
Course Link Click Here
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.
Course Link Click Here
Also, Read TATA Strive Launched Free Full Stack Web Development Course for STEM Graduate / BCA…
Also, Read: Central Bank of India Apprenticeship (Stipend Rs. 15,000)! [3000 Vacancies, Apply by March 6
4. Generative AI Fundamentals
Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. By passing the final quiz, you’ll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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
5. 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.
Course Link Click Here
6. Create Image Captioning Models
This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
Course Link Click Here
Also, Read: Data Center Operations Technician Internship at Amazon (Salary Upto Rs. 7 LPA) Location Hyderabad, Apply..
Also, Read: Top 6 Software Engineer Internships in Feb 2024
7. Introduction to Generative AI Studio
This course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your applications. In this course, you learn what Generative AI Studio is, its features and options, and how to use it by walking through demos of the product. In the end, you will have a quiz to test your knowledge.
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
For more Updates Join my Telegram Group Click Here
FAQ
What are the benefits of taking these Google free Online courses?
The primary benefits include:
Accessibility: Eliminate financial barriers and gain valuable AI skills for free.
Flexibility: Learn at your own pace and convenience with self-paced online delivery.
Expert Instruction: Learn from experienced Google AI professionals, ensuring high-quality and current content.
Skill Development: Equip yourself with in-demand AI skills and enhance your career prospects.
Certificate of Completion: Showcase your newfound knowledge with a certificate upon successful course completion.
