Top 5 Free Generative AI Courses: The advent of Generative AI has spurred a fresh wave of creativity and invention in the rapidly changing field of Artificial Intelligence (AI). Demand for people with generative AI skills is skyrocketing as AI-powered apps transform entire industries and how we interact with technology. So if you want to be a part of this race this article is for you. In this article, we have listed the top 5 free generative AI courses by Google that will help you take your AI skills to the next level and earn big.
Top 5 Free Generative AI Courses by Google
Introduction to Generative AI
The purpose of this basic-level microlearning course is to define generative artificial intelligence (AI), describe its applications, and highlight its distinctions from more conventional machine learning techniques. Additionally, it covers Google Tools to assist you in creating your own Gen AI applications. It should take about 45 minutes to finish this course.
Introduction to Large Language Models
Large language models (LLMs), their applications, and quick tweaking as a means of improving LLM performance are all covered in this beginning-level microlearning course. It also highlights Google tools that you can use to create your own Gen AI applications. The anticipated time to finish this course is forty-five minutes.
Introduction to Responsible AI
This is a microlearning course designed for beginners to explain responsible AI, why it matters, and how Google incorporates it into their products. The seven AI tenets developed by Google are also introduced.
Generative AI Fundamentals
Completing the Introduction to Large Language Models, Introduction to Generative AI, and Introduction to Responsible AI courses will grant you a skill badge. You can prove that you comprehend the core ideas of generative AI by passing the final exam.
Introduction to Image Generation
The idea of diffusion models, a kind of machine learning model that has gained popularity in image production, is taught in Google’s Introduction to Image Generation course. Used in both industry and research, these models have their roots in physics, specifically thermodynamics. In addition, using Google Cloud technology, the course explores the practical application of artificial intelligence (AI) and its ethical implications.
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