top free courses on AI

Neural networks are one of the most popular and rapidly developing areas in IT training. The number of courses and materials on this topic is growing every day. Unfortunately, not all of them are of high quality and truly useful.

In this article we have collected only the best free online courses on neural networks and machine learning. These are courses from well-known IT companies that provide complete immersion in the topic, and are not just a warm-up for some paid product.

Here you will find courses of varying difficulty levels – from basic for beginners to advanced. Some of them are in Russian, others are in English. But everyone will be able to find something useful and interesting for themselves.

Let’s take a closer look at what free online courses are worth taking to study neural networks and machine learning.

1. Course on neural networks at BotHub Academy

Volume rate from the service BotHub, which is 6 extensive blocks on how to use neural networks for various tasks: from writing texts of any size to programming and marketing. The course is completely free, there are many examples, as well as practical tasks for practicing the information learned.

This completely free online course from BotHub is a great start to learning neural networks. It will allow you to quickly and easily understand how these technologies are structured and work.

The course consists of 6 modules. First, you will gain basic knowledge: you will understand the structure and principles of training neural networks. And then you’ll move on to the most interesting part – the practical application of neural networks to solve real problems.

For example, learn to generate unique texts, create works of art, optimize your business, master programming and much more – the possibilities for using neural networks are truly endless.

A big plus of the course is the presence of practical assignments after each module and an abundance of visual examples. This will allow you not only to study theory, but also to strengthen your skills in working with neural networks by solving specific applied problems.

The course is suitable for both beginners and more advanced users. This is an excellent opportunity to get acquainted with the potential of neural networks in an accessible form and learn how to use it to your advantage.

2. “Introduction to AI and Machine Learning on Google Cloud” from Google

This free online course from Google will give you fundamental knowledge in the field of artificial intelligence and machine learning.

The course covers in detail the entire process of working with data and models: from collecting and preparing data to developing, training and implementing models. You will become familiar with the basic concepts, technologies and tools in this field.

It is especially valuable that everything is considered using real cases from Google Cloud. That is, you can immediately put the acquired knowledge into practice using powerful tools from Google.

The course is designed for different target audiences. It is suitable for both beginners who are just starting to learn AI and machine learning, as well as more experienced data scientists and developers.

After completing this training, you will have a strong knowledge base in AI to pursue further education or a career in this field.

They also have LLM courseand all free AI courses from Google are collected Here.

All of them can be viewed after logging into Google Cloud.

3. Harvard courseIntroduction to AI with Python”

Have you ever wanted to study at Harvard? Now you have this opportunity! This course explores the concepts and algorithms behind modern artificial intelligence, delving into the ideas that lead to technologies such as game engines, handwriting recognition, and machine translation.

Through hands-on projects, students are introduced to the theory of graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning, applying them in their own Python programs. Upon completion of the course, you will have an excellent basis for further development in the field of AI, as well as the ability to create your own intelligent systems in Python.

We recommend you hurry up, as registration closes soon, and more than 800 thousand people have already signed up for the course!

4. AI courses from Deep Learning.

Deep Learning has a range of excellent AI courses for different skill levels.

All of them are on the Coursera platform, which means two options for completion: with all the goodies with a paid subscription to the platform, or free without a certificate and verification of the completion of the assignment.

For beginners there is a course “Generative AI for everyone” It covers the basics of how technologies like ChatGPT work – how they function and what they can do. Includes hands-on assignments where you’ll learn how to apply generative AI to everyday tasks. You will also examine issues of ethics and the impact of AI on business and society.

For those who already have a base, an intermediate level course is suitable.”Generative AI with LLM” He will tell you how advanced neural network architectures like GPT-3 work and how to properly train and implement them in real applications.

And there is an advanced narrow course “AI for medical specialties” This three-course specialization will give you hands-on experience applying machine learning to specific problems in medicine. The only course that requires a paid subscription to the platform.

In a word, for every taste and color.

5. Free course “How to simplify your life using neural networks” from Tinkoff Magazine.

This free online course will teach you the basics of using neural networks in everyday life.

Using the popular services ChatGPT and Midjourney as an example, you will learn how neural networks work and how to effectively use them to solve various problems.

The course consists of 10 lessons. They explain in detail the principles of query formulation, provide ready-made templates, and provide recommendations for the use of neural networks. Particular emphasis is placed on practical cases and real examples of using the tools in question.

Upon completion of the course, you will have an understanding of the capabilities and limitations of neural network technologies, as well as basic skills in working with them.

6. Crash course on machine learning with TensorFlow APIs.

This express practice-oriented course from Google will quickly introduce you to the basics of machine learning.

The course includes video lectures that explain key concepts. Plus practical examples and exercises on working with popular machine learning libraries such as TensorFlow. Thanks to this format, the study of theory immediately moves into the practical plane. You will be able to try to implement basic machine learning algorithms and apply them to solve real problems.

By the end of the course, you will have fundamental knowledge in this area and practical experience with Google’s machine learning tools. This will be an excellent basis for further, more in-depth study of this area.

7. “Introduction to ChatGPT” on Datacamp.

In this course, you’ll dive headfirst into the power of generative AI and learn how to use ChatGPT like a pro.

The course uses practical examples to examine the most common use cases for ChatGPT – generating short texts, creating marketing content, writing and explaining code. Special attention is paid to the legal and ethical aspects of using this technology.

After completing this training, you will be able to implement basic tasks using ChatGPT and understand how to approach implementation of this tool more appropriately.

8. Course from Yandex “How to become an AI trainer”

This online course from Yandex, using the YandexGPT service as an example, examines the basic principles of creating content for chatbots using neural networks. Naturally, it is aimed at YandexGPT editors and trainers, but in general, anyone can pass.

The course analyzes the quality criteria for chatbot responses, approaches to identifying errors and improving the performance of the model. Special attention is paid to issues of ethics and responsibility when developing such systems. The course also provides practical recommendations on creating various texts – marketing, information, news – using the capabilities of chatbots.

After studying the course materials, students will be able to effectively evaluate the quality of AI systems for dialogue and prepare high-quality content for them.

Conclusion

Well, we’ve looked at the most useful free courses on neural networks and artificial intelligence. As you can see, there is plenty to choose from!

To choose the right course as efficiently as possible, we recommend:

• Determine your current level of knowledge in this area. This will help you avoid choosing a course that is too complex or, on the contrary, primitive.

• Think about the purposes for which you want to use the skills you have acquired. For example, for solving business problems, developing your own projects, scientific work. This will influence the choice of course focus.

• Please note the presence of practical tasks and cases. They will allow you to truly master skills, and not just study theory.

• Choose courses from well-known companies and universities. This increases the likelihood that you are being offered a complete product. If you are invited to a webinar or online intensive course, then with a high probability you have stumbled upon a warm-up for a paid product.

In general, study and study again! After all, mastering new and relevant skills increases your value as a specialist and reduces competition.

If you know any other useful and free products or just want to share your experience or speculate on the topic of training neural networks, We’ll be glad to see you in the comments!