Google offers free online AI courses with certificates to help learners understand artificial intelligence. These courses are open to everyone and cover a variety of topics, including machine learning, natural language processing, and computer vision.
The courses are designed to be accessible to beginners, so no prior experience with AI is necessary. They are also self-paced, so learners can study at their own convenience.
After completing a course, learners will receive a free certificate that they can share with potential employers or clients.
Here are some of the benefits of taking Google’s free AI courses:
- Learn about the latest AI technologies. Google is a leader in AI research, and its courses cover the latest trends in the field.
- Gain hands-on experience with AI tools and techniques. The courses use real-world examples and case studies to help learners apply AI concepts to their own work.
- Build your AI skill portfolio. A certificate from Google is a valuable addition to any resume or portfolio.
- Connect with other AI learners and professionals. The courses offer a forum for learners to ask questions, share ideas, and collaborate on projects.
If you’re interested in learning more about AI, I encourage you to check out Google’s free online courses. They’re a great way to get started in the field and learn from the experts.
List of Google Artificial Intelligence Free Courses:
Here is a list of the free AI classes that Google offers to people all over the world. The classes are free and can be taken at your own pace anywhere in the world, so anyone who wants to learn the basics of AI can take them.
Introduction to Generative AI:
This is the first level of the course. The goal of the online microlearning course is to explain what Generative AI is, how it can be used, and how it is different from more standard ways of learning. This short course takes about 45 minutes. It starts with a 22-minute film, a reading assignment, and a quiz. After you finish the course, you can also get a free finishing badge.
Introduction to Large Language Models:
This is a lesson for people who don’t know much about language models. The microlearning course explains what LLM (large language models) are and how they can be used. This short course takes about 45 minutes. There is a 15-minute film introduction, a reading assignment, and a quiz. After you finish the course, you can also get a free finishing badge.
Introduction to Responsible AI:
This is another online course that starts at the beginning. The short course shows what responsible AI is, why AI is important, and how Google uses AI in its products. It also talks about Google’s 7 rules for AI. This short AI course is available online and starts with a 9-minute film and a quiz. After you finish the course, you can also get a free finishing badge.
Generative AI Fundamentals:
A Google Cloud skill badge is a digital certificate or badge that shows how well you know Google Cloud goods and services. After you finish the lessons Introduction to Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI, you can get a skill badge. After you finish the final quiz, you can show what you know about the ideas behind creative AI.
Introduction to Image Generation:
The short AI course talks about diffusion models, which are a group of machine learning models that did well in the area of image generation. The ideas behind diffusion models come from science, and more specifically from thermodynamics. This course teaches you how to train diffusion models on Vertex AI and how they work. This short AI course is available online and starts with a 9-minute film and a quiz. After you finish the course, you can also get a free finishing badge.
Encoder-Decoder Architecture:
This course gives an overview of the encoder-decoder architecture, which is a strong and powerful machine-learning architecture for jobs like text summarization, machine translation, and answering questions. This short, free online AI course starts with a 27-minute film, some reading, and a quiz. After you finish the course, you can also get a free finishing badge.
Attention Mechanism:
This AI class will talk about how the attention mechanism works, which is a way to help neural networks focus on certain parts of a series of inputs. This short study takes about 45 minutes, and it starts with a 5-minute video and a quiz. After you finish the course, you can also get a free finishing badge.
Transformer Models and BERT Model:
In this short AI course, you will learn about the jobs that the BERT model (Bidirectional Encoder Representations from Transformers) can be used for, such as text classification, natural language inference, and answering questions.
Create Image Captioning Models:
This AI class shows you how to use deep learning to make a model for putting captions on pictures. This short course has a film introduction with a quiz and a link to lab materials. After you finish the course, you can also get a free finishing badge.
Introduction to Generative AI Studio:
This free AI course will teach you about the features and choices of Generative AI Studio. This short, free AI course starts with a film, a quiz, and a document with a list of things to read. After you finish the course, you can also get a free finishing badge.