Google’s AI courses range from beginner to intermediate levels, and most of them take just 30 minutes to complete.
Google has recently released 9 educational courses in the field of artificial intelligence, which can be highly beneficial for enthusiasts of this transformative technology. Most of these courses require only about 30 minutes to complete, though some demand more advanced knowledge and skills. Below is an introduction to these 9 free courses.
Free Google Courses on Artificial Intelligence
Course 1: “Introduction to Generative AI”
Duration: 45 minutes | Level: Beginner
This 45-minute course introduces the basics of generative artificial intelligence. You’ll learn what generative AI is, how it’s used, and how it differs from traditional machine learning tools. The course also introduces various Google tools.
Course 2: “Introduction to Large Language Models”
Duration: 30 minutes | Level: Beginner
This course helps you understand large language models (LLMs). You’ll learn where LLMs are useful and how they can be improved. A particularly engaging part of the course is prompt engineering to maximize the effectiveness of using these models.
Course 3: “Introduction to Responsible AI”
Duration: 30 minutes | Level: Beginner
This beginner-level course explores how Google implements responsible AI in its products. It also introduces Google’s seven AI principles.
Course 4: “Introduction to Image Generation”
Duration: 30 minutes | Level: Intermediate
This course introduces diffusion models, a family of machine learning models that have recently shown promise in image generation. These models have various applications in both research and industry.
Course 5: “Encoder-Decoder Architecture”
Duration: 30 minutes | Level: Intermediate
If you want to learn about the encoder-decoder architecture used in tasks like machine translation and summarization, this course is for you.
Course 6: “Attention Mechanism”
Duration: 30 minutes | Level: Intermediate
This course introduces the attention mechanism, which allows neural networks to focus on specific parts of an input sequence. You’ll learn how attention works and how it can enhance the performance of various machine learning tasks, including translation, summarization, and question answering.
Course 7: “Transformer Models and BERT”
Duration: 45 minutes | Level: Intermediate
This course covers the transformer architecture and the “Bidirectional Encoder Representations from Transformers” (BERT) language model.
Course 8: “Build Image Captioning Models”
Duration: 30 minutes | Level: Intermediate
This course teaches you how to create an image captioning model using deep learning techniques.
Course 9: “Introduction to Vertex AI Studio”
Duration: 2 hours | Level: Intermediate
This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. The goal is to teach you how to harness the potential of Google’s Gemini models in your projects using Vertex AI Studio.
