Empower Your AI Knowledge: Google’s Free Generative AI Courses

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Artificial Intelligence is a buzzword that has been making waves in the tech industry. Among its various forms, generative AI has gained significant attention for its ability to create texts, images, and videos. If you’ve ever wondered about the intricacies behind AI models like ChatGPT, Bard, and others, Google has a treat for you — free generative AI courses!

Google, a leading player in the race to offer products and services related to generative AI, has launched a series of free online courses. These courses are designed to provide a comprehensive understanding of generative AI, language models, and more.

The courses are hosted on Google Cloud’s platform, known as Google Cloud Skills Boost. This platform offers a catalogue of online courses and learning activities related to Azure, AWS, Google Cloud, cloud architecture, data engineering, and more. For those interested in generative AI, Google Cloud Skills Boost is compiling a series of courses on the subject.

Google’s Free Generative AI Courses

At the time of writing, there are ten courses related to generative AI and a practical activity to test what you’ve learned. Nine of these courses are free, and one is paid. The courses are as follows:

  1. Introduction to Generative AI
  2. Introduction to Large Language Models
  3. Introduction to Responsible AI
  4. Generative AI Fundamentals
  5. Introduction to Image Generation
  6. Encoder-Decoder Architecture
  7. Attention Mechanism
  8. Transformer Models and BERT Model
  9. Create Image Captioning Models
  10. Introduction to Generative AI Studio

These courses, which are currently available only in English, offer a wealth of knowledge on generative AI, language models, responsible AI, image generation, transformer models, BERT model, automated image captioning, and how to use Google’s Generative AI Studio.

Course Structure and Benefits

Each course comes with a technical sheet that provides details about the course duration, difficulty level, price (if any), prerequisites, and course materials. For instance, the Introduction to Generative AI course lasts for approximately 45 minutes and includes a video, a document, and a final test to check your understanding. Some courses require prior knowledge of Python, neural networks, or machine learning.

Upon completion of the courses, your user profile will be adorned with badges that certify your course completion. These badges may not have the same validity as a paper certificate or diploma, but being part of Google’s learning platform, they can be a valuable addition to your resume.

Getting Started

To get started with these courses, all you need is a Google Cloud account, which is free and can be created in no time. However, when you join a course, you will need to sign up. The Google Cloud account is not the same as the Google account you use for YouTube, Gmail, or Android. But you can speed up the sign-up process by clicking on “Sign in with Google” to fill most of the necessary fields in the enrollment form.

Conclusion

Google’s free generative AI courses provide an excellent opportunity for anyone interested in AI to enhance their knowledge and skills. Whether you’re a beginner or an experienced professional, these courses offer valuable insights into the world of generative AI. So why wait? Start your AI learning journey with Google today!

SabariNath
Sabarinath is the founder and chief-editor of Code and Hack. With an unwavering passion for all things futuristic tech, open source, and coding, he delves into the world of emerging technologies and shares his expertise through captivating articles and in-depth guides. Sabarinath's unique ability to simplify complex concepts makes his writing accessible and engaging for coding newbies, empowering them to embark on their coding journey with confidence. With a wealth of knowledge and experience, Sabarinath is dedicated to providing valuable insights, staying at the forefront of technological advancements, and inspiring readers to explore the limitless possibilities of the digital realm.

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