Google Free AI Courses: In the constantly developing field of artificial intelligence (AI), the emergence of generative AI has unleashed a fresh surge of creativity and innovation. The need for experts in generative AI is growing as AI-driven applications transform several sectors and change how we interact with technology. This article is for you if you want to go on this thrilling adventure. Here are Google’s top 5 free generative AI courses, which can improve your AI knowledge and lead to career-boosting prospects.
Top 5 Free Generative AI Courses by Google
Introduction to Generative AI
This course will introduce you to the principles of generative artificial intelligence (AI) at an entry level. Its uses and how it varies from conventional machine learning methods are covered in the course. You will also explore Google resources that can help you create your own generative AI apps. It takes around 45 minutes to finish the course.
Introduction to Large Language Models
This is an introduction course on microlearning that explores large language models (LLMs), their uses, and performance tweaking methods. Additionally, it emphasises Google resources that might assist you in developing original generative AI applications. This course should take roughly 45 minutes to complete.
Introduction to Responsible AI
This microlearning course, intended for novices, covers the significance of responsible AI and how Google incorporates it into its products. You will discover the seven AI principles that Google created, with a focus on moral AI procedures.
Generative AI Fundamentals
You can get a skill badge by finishing the Introduction to Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI courses. This badge attests to your comprehension of the fundamental ideas behind generative AI. You have to pass the final test in order to get the badge.
Introduction to Image Generation
Diffusion models are a subset of machine learning models that have become popular in picture production, and you will learn about them in this course. These models are widely used in industry and research, having their roots in physics and thermodynamics. Along with discussing the ethical concerns of AI, the course also addresses practical applications of AI utilising Google Cloud technology.
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