Free Online Courses on Artificial Intelligence 2024 Google: Google has a lot of resources for learning about artificial intelligence (AI), with a focus on core ideas like machine learning, computer vision, and natural language processing. Through the course’s separate classes, students can use their skills in real-life situations. When real tasks are included, they help students understand AI ideas better. Google’s commitment to making high-quality schooling available makes it possible to go on an exciting journey into the world of artificial intelligence.
About Google:
Google is one of the biggest names in technology in the world, and it’s known for being very good at using AI in consumer products, cloud computing, online advertising, and search engine optimization. “The most powerful company in the world” has been used to describe Alphabet Inc., Google’s parent company and one of the five Big Tech companies. This is because of its technology benefits, market dominance, and ability to collect data. Having been created in 1998 by Larry Page and Sergey Brin, Google went public in 2004 and underwent a change to become a fully owned part of Alphabet Inc., showing its scientific superiority and market control.
Here are Google Offering Free Online Courses on Artificial Intelligence:
1. Introduction to Generative AI:
Google is a major player in the field of Gen AI apps. It gives creators a wide range of tools and resources to help them come up with new and creative solutions. An in-depth review of generative artificial intelligence (AI), its uses, and how it varies from conventional machine learning methods is given in this beginner-friendly microlearning course. Through the use of Google Tools for application creation, students get a basic understanding of this state-of-the-art technology, readying them for a study and creative trip into the field of Gen AI.
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2. Introduction to Large Language Models:
In the world of Gen AI apps, Google is a big player, offering a variety of resources and tools to help creators in producing unique applications. Large language models (LLMs) are a class of technologies that are used to improve performance and meet certain goals and tasks. Google makes it possible for users to improve LLMs for maximum speed by adding quick changing processes. In order to successfully use cutting-edge language modeling technologies in the development of Gen AI applications, this programme provides learners with the necessary tools and real abilities.
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3. Introduction to Responsible AI:
An introduction of responsible AI is given in this course, with particular attention to the importance of the technology and Google’s plan to integrate it into its products. It explains the core ideas of responsible AI, as well as the moral implications and social effects. Google’s seven AI concepts are presented throughout the course, giving a framework for the creation and use of moral AI. It draws attention to the importance of ethical AI practices and the role that tech companies play in improving moral values. Those interested in responsible AI and social technology growth should start with this introductory-level course.
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4. Generative AI Fundamentals:
Artificial Intelligence is a fast-growing technology with the ability to change many different areas. People may get a full sense of AI concepts by taking classes on Responsible AI, Large Language Models, and Generative AI. Google Cloud knows this AI skill and gives a badge that may be shown by making a public profile and posting it on social media.
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5. Introduction to Image Generation:
This course explores the use of diffusion models, a powerful tool drawn from physics concepts, in the creation of pictures. These models serve as the basis for Google Cloud’s complex picture creation tools and methods. Through understanding of their theoretical roots and workings, learners may get useful insights into the training and application of diffusion models on Google’s cutting-edge machine learning platform, Vertex AI. This study opens up new paths for picture production and improves the ability to use cutting edge machine learning technology.
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6. Create Image Captioning Models:
In order to build picture labeling models, this course presents deep learning methods with a focus on the encoder and decoder components. It makes it possible to build picture labeling models with trust by giving insights into the training and testing processes. By giving learners the necessary knowledge and skills to apply these concepts in real settings, the course improves the interpretability and value of photos. This course gives anybody, regardless of experience level, the know-how and tools they need to start the interesting process of creating an image labeling model, opening up a whole new world of options in computer vision and deep learning.
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7. Introduction to Generative AI Studio:
Within Vertex AI, a dynamic tool called Generative AI Studio makes it possible to modify and test generative AI models for easy application interaction. This course gives you an introduction of its features, hands-on product demos, and the know-how to use Generative AI Studio successfully. Users may track their achievements on their personal page and show their skill by getting a badge upon finish. By showing their ability for utilizing cutting-edge technology and driving artificial intelligence development, this advances their cloud job.
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