Artificial intelligence (AI) is most rapidly developing fields in technology world today. It is already having a major impact on many industries, and its influence is only going to grow in the coming years.
Image Courtesy: Google AI
In this article, we will take a look at 10 of the best free AI courses offered by Google. These courses cover a range of topics, from the fundamentals of AI to more advanced topics such as machine learning and deep learning. Each course offers a certificate of completion upon completion.
If you are interested in learning more about AI, there are many resources available to you, including a number of free courses offered by Google.
Table of Contents
AI Courses Descriptions
1. Introduction to Generative AI
This course provides an introduction to generative AI, a type of AI that can be used to create new content, such as images, text, and music. The course covers the basics of generative AI, as well as some of the latest advances in the field.
Opens in a new windowwww.freecodecamp.org
2. Introduction to Large Language Models
This course provides an introduction to large language models (LLMs), a type of AI that can be used to generate and understand text. LLMs are used in a wide range of applications, including machine translation, text summarization, and question answering.
Opens in a new windowwww.unite.ai
3. Introduction to Responsible AI
This course provides an introduction to responsible AI, a set of principles and practices for developing and deploying AI systems in a safe and ethical manner. The course covers topics such as fairness, transparency, and accountability in AI.
Course Link: www.cloudskillsboost.google
4. Generative AI Fundamentals
This course provides a more in-depth introduction to generative AI, covering topics such as deep learning and adversarial networks. The course also includes hands-on exercises in which you will build your own generative AI models.
Course Link: cloud.google.com
5. Introduction to Image Generation
This course provides an introduction to image generation, a type of generative AI that can be used to create new images. The course covers the basics of image generation, as well as some of the latest advances in the field.
Course Link: medium.com
6. Introduction to Machine Learning
This course provides an introduction to machine learning, a type of AI that allows computers to learn without being explicitly programmed. The course covers the basics of machine learning, as well as some of the most popular machine learning algorithms.
Course Link: blog.phcschoolofai.org
7. Introduction to Deep Learning
This course provides an introduction to deep learning, a type of machine learning that uses artificial neural networks to learn from data. The course covers the basics of deep learning, as well as some of the most popular deep learning frameworks.
Course Link: medium.com
8. Natural Language Processing with TensorFlow
This course teaches you how to use TensorFlow, a popular machine learning framework, to build natural language processing (NLP) models. NLP models are used to process and understand human language.
Course Link: www.coursera.org
9. Computer Vision with TensorFlow
This course teaches you how to use TensorFlow to build computer vision models. Computer vision models are used to process and understand images and videos.
Course Link: blog.research.google
10. TensorFlow for Poets
This course is a creative introduction to TensorFlow. It is designed for people who are new to machine learning and coding, but who are interested in learning more about AI.
Course Link: github.com
Also Read | Best Programming Languages to Learn in 2023-24
Benefits of Taking These Courses
There are many benefits to taking these free AI courses offered by Google.
First, these courses are taught by experts in the field of AI. Second, the courses are well-designed and easy to follow. Third, the courses cover a wide range of topics, from the fundamentals of AI to more advanced topics such as machine learning and deep learning. Fourth, the courses offer a certificate of completion upon completion, which can be a valuable asset to your resume or LinkedIn profile.
How to Take Advantage of These Courses
To take advantage of these free AI courses offered by Google, simply visit the Google AI website and create an account. Once you have created an account, you can browse the list of available courses and enroll in the courses that interest you. You can learn at your own pace and take the courses in any order that you like.
Some FAQ
Q: Who are the courses for?
The courses are for anyone who is interested in learning more about AI, regardless of their background or experience. Some of the courses are introductory, while others are more advanced.
Q: How do I enroll in the courses?
To enroll in the courses, simply visit the Google AI website and create an account. Once you have created an account, you can browse the list of available courses and enroll in the courses that interest you.
Q: Do I need any prior knowledge of AI to take the courses?
Some of the courses require prior knowledge of AI, while others do not. If you are new to AI, I recommend starting with the introductory courses, such as Introduction to Generative AI and Introduction to Machine Learning.
Q: How long are the courses?
The courses vary in length, but most of them can be completed in a few hours to a few days.
Q: Do I get a certificate after completing a course?
Yes, you will receive a certificate of completion after completing each course.
Q: What are the benefits of taking the courses?
The benefits of taking the courses include:
- Learning about the basics of AI
- Learning about the latest advances in AI
- Gaining hands-on experience with AI tools and technologies
- Earning certificates of completion that can be added to your resume or LinkedIn profile
Q: Where can I get help with the courses?
If you get stuck on a concept or exercise, there are a few resources available to you:
- The course forums
- The Google AI community
- Stack Overflow
This article was written by Bard, a large language model from Google AI.
