Explore the future AI with Google’s extensive library of free courses. Discover everything for free, from creating images to using AI ethically.
Anyone interested in learning more about artificial intelligence can take a free course through Google. Below is a summary of several exceptional courses:
- Google AI for All Users: This edX introductory course is ideal for those without experience in computer science, mathematics, or artificial intelligence. It thoroughly introduces artificial intelligence (AI) and machine learning, covering practical uses such as recommender systems and self-driving technology. The course will cover neural networks and machine learning in general. The course lasts four weeks, needs two to three hours a week, and lets students go at their speed.
https://www.edx.org/learn/artificial-intelligence/google-google-ai-for-anyone
- Introduction to Generative AI: This course aims to give students a general understanding of generative AI and how it differs from conventional machine learning techniques. It is a component of Cloud Skills Boost, Google’s more extensive product.
https://www.cloudskillsboost.google/course_templates/536
- Introduction to Large Language Models: The large language models, their uses, and prompt adjustment are all covered in this course. This addition is highly relevant given the expanding significance of big language models across numerous industries.
https://www.cloudskillsboost.google/course_templates/539
- Introduction to Responsible AI: This course covers everything from social responsibility to privacy design principles to foster an ethical understanding of AI. It also presents Google’s 7 AI Principles. It highlights how important it is to develop and apply AI responsibly.
https://www.cloudskillsboost.google/course_templates/554
- Responsible AI: Using Google Cloud to Apply AI Principles Those interested in adopting responsible AI in organizations are the intended audience for this 8-hour training. It involves discovering the best practices and lessons and how Google Cloud uses AI concepts. The course is taught in English and is appropriate for Google Cloud Partners and the general public. A basic understanding of AI and machine learning is required.
https://www.cloudskillsboost.google/course_templates/388
- Introduction to Image Generation: Some prior understanding of Python programming, deep learning, and machine learning is required for this course, which introduces the diffusion models used in image generation.
https://www.cloudskillsboost.google
- Generative AI for Developers Learning Path: Specifically intended for App Developers, ML Engineers, and Data Scientists, this Generative Al Learning Path has a technical focus. It fits with Google’s mission to offer real-world, experiential learning opportunities in AI, especially for developers who are interested in generative AI technologies.
https://www.google.com/paths/183/cloudskillsboost
Regardless of experience level, these publicly available courses are invaluable for anyone interested in learning more about artificial intelligence. A wide range of interests and ability levels are catered to by the diversity of course content, which includes anything from massive language models and image production to ethical issues in AI.
