What are Free AI Master Courses by Google?
Artificial Intelligence is rapidly transforming the world in almost all industries such as content, healthcare, finance, transportation, and entertainment, among others. As a result, the demand for skills to develop, maintain, and improve these technologies is on an upward trajectory.
In this guide, I will delve into the top free AI master courses by Google that should jumpstart your AI learning profession. You have to set aside a hefty budget to learn AI, Google offers some of these courses for free. Let's get started!
Benefits of free AI master courses by Google
There are many benefits of enrolling in AI master courses by Google. You will get a deeper understanding of AI, how it works, and how it can change lives in businesses and communities. Here are some of the benefits:
- Boost your resume. Even if these courses are free, getting a Google certificate is a plus for your next job application. It's an indication that you are interested in learning the new trends in the world of technology.
- Develop-in-demand skills. Machine learning (ML) and AI are highly sought-after skills and acquiring such skills will definitely place you at the top of other job seekers. Free Google courses will act as the foundation of your ML journey.
- Acquire AI knowledge. Learning a few things about AI is the first step in being updated with this technology, even if it's not your career. Remember, AI is interrupting every sector, and you might encounter it in your day-to-day tasks.
As a whole, free AI master courses by Google are low risks and can give you a great reward.
5 Free AI master courses by Google
Google is the leading company in the world in terms of AI research and improvement. If you are looking for a free AI master course, the list below will offer the best option.
- Elements of AI Google Course
- Machine Learning Crash Course
- Introduction to Image Generation
- Introduction to Large Language Models
- Attention Mechanism
Let us now see these courses in detail.
1] Elements of AI Google Course
Google’s Elements of AI is a beginner's free course for anyone interested in knowing the basics of AI. It tries to break all the hard concepts and make them understandable to anyone, even those with no technical background.
The course introduces you to fundamentals, intelligent agents, how AI uses different approaches to solve problems, and the main concepts of machine learning. ML is a core subset of Artificial Intelligence.
The course is flexible and easy for anyone. You can set your own hours and accomplish tasks on your own time. Whether you are a professional, a student, or simply curious about AI, Element of AI is your best course to start with.
Course objectives
Elements of AI by Google aims to:
- Build foundational skills. It aims to equip learners with introductory machine learning concepts, and techniques to solve problems using AI, and intelligent agents.
- Enhance critical thinking and analyzing. This course gives learners a second thought about anything AI. For example, you can differentiate between fake and real news, images, etc.
- Demystify Artificial Intelligence. It explains what AI is, what it can do, and its setbacks. At the end of the course, you will know what AI can achieve in different industries.
There is no specific timeframe to complete this course. It has two main parts, and each can take around 4-8 hours. However, it recommends that you take 6 weeks to gain the AI knowledge optimally.
You don’t have to have coding skills; you only need curiosity for AI and internet access.
2] Machine Learning Crash Course
Machine Learning Crash Course is a free AI master course by Google. It is designed to equip you with fundamental concepts of ML. You don't have to have prior machine learning experience, but if you have done programming before, the course will be easier for you.
Here are the topics you will cover:
- Classification models
- Neural networks
- Loss and gradient descent
Google delivers this course through text lessons, hands-on tests, and video lectures to teach you the ML concepts. It keeps on improving this course and it would be good if you keep checking for any updates and improvements.
Course objectives
Machine Learning Crash Course aims at:
- Developing practical skills. The course allows you to have skills as opposed to theory-only. The coding and hands-on processes let you have skills that you can apply in real-life situations using tools like TensorFlow.
- Sparking curiosity, exploration, and interest. It is a stepping stone toward the world of AI. The course does not make you an expert but gives you a reason to move forward to your professional goal in machine learning.
Showing real-life applications. The course includes real-world case studies and demonstrates how you can apply machine learning in different industries. - Equipping foundational knowledge. You will get fundamental concepts such as core ideas behind algorithms, ML models, and how machines learn from data.
Machine Learning Crash Course does not have a set duration. It depends on your availability, but it can take a few weeks or months.
The course does not have core requirements, but for you to get the most out of it, you need the following:
- You need to have some basic programming like Python.
- Math like algebra, statistics, and calculus.
- Basic knowledge of Cloud Console and Bash Terminal.
Machine Learning Crash Course by Google is a great course for anyone curious about ML and how it can be applied in real-world applications.
3] Introduction to Image Generation
Image generation is on the rise, and numerous AI apps are offering this service. Introduction to Image Generation is a free AI master class by Google that will quench your thirst for image generation with machine learning.
The diffusion model is one of the latest machine learning technologies that is used to create and generate images using AI apps. This course goes deeper into these models and dissects the most important concepts for you.
You will learn how diffusion models create news images. In the end, you will train your own models using tools like Vertex AI, which is a great machine learning from Google.
Course objectives
Here is what the course tries to aim for:
- To let you understand the core concepts of diffusion models used in image generation.
- Learn how to train the models using tools like Vertex AI.
- Get knowledge on how to use the models in real-world applications.
- Know how the models are applied in the image or art generation on AI apps and sites.
There are no qualifications required but knowing about machine learning processes and terminologies is a plus. Also, some basics or exposure to programming is an added advantage.
No exact duration to complete this course, but it can take you about a day or two. It depends on your pace and availability.
4] Introduction to Large Language Models
If you are looking for a free AI master course by Google, Introduction to Large Language Models is a good option. It is offered by Google Cloud Skills Boost and delves deeper into LLMs.
It's an introductory course that equips you will knowledge about how the large language models work, what are they, and their fundamentals. You will also learn about fine-tuning prompts, which improves the performance of LLMs.
The Introduction to Large Language Models course will equip you with a solid understanding of LLMs, and what they can do in real life. Google will also introduce you to crucial tools that you can use to develop your own AI apps.
Course objectives
- Equip you with the foundational knowledge of LLMs.
- Understand the benefits and setbacks of Large Language Models in the world of AI.
- Learn how LLMs are applied in different industries
- Gain knowledge on which tools you can use to build your own AI apps.
Introduction to Large Language Models course is designed for beginners, hence, there are no prerequisites to enroll.
It can take you around 30 minutes to complete this course. You can use your own pace, though.
5] Attention Mechanism
Attention Mechanism is another free AI master course by Google that you can explore. It’s a short course that is hosted by Google Cloud Skills Boost. Attention Mechanism is a powerful technique that is crucial in neural networks.
The course teaches you how attention mechanisms allow neural networks to give attention to specific sections of a data sequence they are working on. You can apply these mechanisms while dealing with speech or text.
It also delves deeper into how you can use attention mechanisms in different machine-learning processes. The practical tasks would be things like machine translations, question answering, and text summarization.
Course objectives
It aims to achieve the following:
- Know the foundational concepts of attention mechanism, and how it works in neural networks
- Be able to learn how you can apply attention mechanisms in real-life cases such as text and speech translations and summarization.
- Learn why the attention mechanism is important in many machine-learning tasks.
The course is introductory and no need to have any prerequisites qualifications to enroll. It's for beginners and anyone curious about AI can join.
According to Google, it takes 30 minutes to complete. But it's not a must, you can do it at your own pace.
If you are curious about AI or want to uplift your CV, the free AI master courses by Google listed here should be in your to-dos. However, some of them are not really ‘master’ courses, but are introductory to the main ones. It's a stepping stone to more advanced courses. Let me know which one you selected in the comment section below.
