Learn the basics and advanced techniques of working with neural networks with free and paid hands-on AI courses. Suitable for both beginners and advanced users.
The course is suitable for a wide range of professionals, including writers, designers, marketers, analysts and entrepreneurs who want to use AI to speed up work and focus on creative tasks.
This free course “How to simplify your life with the help of neural networks” on the Tinkoff Magazine platform will help you understand what neural networks are and how to transfer some of your tasks to them in order to turn artificial intelligence into an assistant and simplify your life.
Google's Machine Learning Crash Course offers a quick and practical introduction to machine learning. language. This course is suitable for both beginners and those who already have experience in machine learning, want to systematize knowledge or learn new topics.
The course featured on mlcourse.ai is an open machine learning course from the OpenDataScience community. Please note that the course does not award a diploma upon completion. The training is free, and all you need to do to get started is register.
The “YandexGPT for Beginners” course from Yandex Workshop offers training in the use of neural networks to automate routine tasks and improve work processes. The course program includes 6 sections.
The Chat GPT course from Skillbox is designed for those who want to learn how to use the ChatGPT neural network in everyday life and work tasks. The course promises to teach you how to create competent queries to ChatGPT, automate routine tasks, and even generate ideas for a startup.
The course “Neural networks: a practical course” from Skillbox offers training for a specialist in neural networks and artificial intelligence.
The course is suitable for a wide range of professionals, including writers, designers, marketers, analysts and entrepreneurs who want to use AI to speed up work and focus on creative tasks.
A free online course from DataCamp Academy, which also covers neural networks and ChatGPT. This course can be a useful resource for those who want to learn neural networks and ChatGPT.
The “ChatGPT Prompt Engineering for Developers” course from DeepLearning.AI offers training in query engineering best practices for application development. This course is suitable for both beginners and advanced machine learning engineers who want to learn advanced query engineering techniques and use of LLMs.
The course “How to become an AI trainer” from Yandex is intended for those who want to become an AI trainer. This course will help you understand how neural networks learn, which texts are suitable for them and which are not. The course contains only 5 lessons, each of which ends with several test questions that will help consolidate knowledge. It will take you approximately 1-2 hours to complete the course.
The course “Introduction to Artificial Intelligence” from the Sirius Educational Center is intended for those who are just starting to study this topic. After completing these courses, students can move on to Introduction to Machine Learning, which teaches them how to create the machine learning algorithms that underlie modern artificial intelligence.
The course “Introduction to ChatGPT and Midjourney” from BotHub Academy offers training in neural networks and working with ChatGPT. This course is suitable for anyone who wants to learn more about AI and use it in their projects, studies or work.
The Introduction to Generative AI course from Google Cloud Skills Boost offers an overview of generative AI concepts. This course is suitable for those who want to understand the basics of generative AI and apply this knowledge in practice.
Harvard's Introduction to Artificial Intelligence with Python course dives into the concepts and algorithms behind modern artificial intelligence. This course is an excellent choice for those who want to develop their own intelligent systems using knowledge of artificial intelligence principles.
DeepLearning.AI offers a variety of courses that cover various areas of artificial intelligence and machine learning. These courses are designed for people with varying levels of knowledge, from beginners to experienced professionals. Each course contains video lectures, practical exercises and real cases for learning.
The “Generative AI with LLMs” course from DeepLearning.AI offers an in-depth look at generative AI using large language models (LLMs). This course is suitable for data scientists, research engineers, machine learning engineers, and anyone interested in generative AI.
Take courses on artificial intelligence and learn how to develop, test and optimize neural networks. From beginner to advanced levels, each course offers unique insights and hands-on training so you can not only learn, but also apply what you learn in a real-world setting. Our selection is aimed at a wide range of professionals looking to improve their skills or start a career in AI.