Improve your AI skills in 2026. NVIDIA guides and other resources will help you do just that

Are you self-taught in AI? Don’t let the new year slow you down. NVIDIA offers a wide range of educational materials that cover various areas of AI, providing both technical context and practical explanations. We’ve also added additional tips for those looking to work with AI creative at a higher level .

Zdokonaľujte sa v AI aj v roku 2026

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NVIDIA is known worldwide as a manufacturer of graphics processors for both the gaming and professional markets, and in recent years has been one of the key leaders in the field of artificial intelligence .

In addition to developing technologies, it has also invested in education for a long time and made free materials available, the aim of which is to help you better understand the principles of AI and navigate this area at your own pace. Some are suitable for complete beginners, others for experts in specific fields.

Tips for free AI tutorials from NVIDIA

Generative AI Explained

The material provides a basic overview of what generative artificial intelligence is, how it works, and how it differs from traditional AI approaches . It serves as an introductory material for anyone who wants to clarify the basic concepts without the need for technical knowledge.

Building a Brain in 10 Minutes

You will learn how the basic neural network model works and how AI “learns” from data . The material serves as a quick and understandable explanation of the decision-making logic of artificial intelligence without the need for programming.

AI for All: From Basics to GenAI Practice

The material describes how artificial intelligence affects different areas and what tools and computing power are behind these technologies. It provides a broader context for the development of AI and is intended for anyone who wants to better navigate the rapidly changing field of artificial intelligence.

AI Infrastructure and Operations Fundamentals

The course explains how AI infrastructure works in data centers, including the differences between CPUs and GPUs, accelerated computing, and the fundamentals of AI system operations. It helps you understand what goes into making AI systems work from an infrastructure and operational perspective.

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How to further advance your AI knowledge?

You will also find a lot of other supplementary materials on the internet that are dedicated to practical work with artificial intelligence and can serve as inspiration for self-study.

We recommend, for example, the blog How to AI, which is dedicated to reflections on artificial intelligence, its use and impacts in everyday work . It is suitable for people who want to better understand AI and follow current topics . Specifically, you might also be interested in older articles such as Be rude to ChatGPT or Stop prompting like 2022.

Do you want to move to a professional level in AI creative?

If you are interested in the field of artificial intelligence, especially AI creative , at some point free courses and materials may not be enough. That’s why we at Dexfinity have prepared a basic online course focused on the practical use of AI in creative for e-shops .

Participants will take away from the webinar specific practices on how to create professional visuals and video content from common inputs, how to approach AI creative systematically instead of trial and error, how to scale content without significantly increasing costs, and how to think about creative for performance campaigns and brand building. It also includes a warning about common mistakes that cause AI outputs in campaigns not to work as they should.

Are you interested in how artificial intelligence can work in your project? Contact us and we will look at the possibilities of its practical use together.

Thanks to the Dexfinity Editorial Staff for Creating This Article

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