9 Free Online AI Courses Offered by NVIDIA in 2025

NVIDIA has solidified its position as a leader in AI technology by offering free courses that cover a wide range of topics, including generative AI, GPUs, robotics, and more. These educational initiatives are transforming fields worldwide and advancing intelligent computing.

Their expertise in GPU-accelerated computing has accelerated progress in AI, paving the way for revolutionary breakthroughs in data science, autonomous systems, and deep learning. One of NVIDIA’s key missions is to make AI education accessible to all, which is reflected in its commitment to providing free AI courses. These courses encompass a diverse array of AI topics, from foundational concepts to intricate applications.

Guided by experts in areas such as computer vision, natural language processing, and reinforcement learning, students can easily explore these subjects. By promoting free access to these courses, NVIDIA is fostering a global community of AI researchers, developers, and enthusiasts while facilitating easier access to AI education.

Let’s explore the remarkable free courses offered by NVIDIA.

✅ Very important:
All the links in this article point to the official websites of each course mentioned.

1-Building A Brain in 10 Minutes

The “Building A Brain in 10 Minutes” course from NVIDIA’s Deep Learning Institute offers an engaging exploration of the psychological and biological foundations of early neural networks. In just ten minutes, learners can understand how neural networks process data and grasp the mathematical concepts behind neural functioning.

This introductory course requires a basic understanding of Python 3 concepts—such as functions, loops, dictionaries, and arrays—as well as the ability to compute a regression line. Its primary aim is to equip students with fundamental knowledge of neural networks and insight into the intricate mechanisms underlying these essential AI building blocks. For those interested in advancing their deep learning knowledge, follow-up materials are available.

With its short duration and open accessibility, this course is ideal for anyone curious about deep learning. Whether a novice or an enthusiast, you’ll find this course both engaging and informative. For further details, visit the NVIDIA Deep Learning Institute website.

2-Building Video AI Applications on Jetson Nano

The “Building Video AI Applications on Jetson Nano” course employs hands-on learning to teach students how to develop DeepStream applications that use object detection and classification networks to annotate video streams.

Participants will work with the NVIDIA Jetson Nano Developer Kit to gain firsthand experience in advanced video analytics. A basic understanding of Python 3 and the Linux command line is essential for this intermediate-level course. The course highlights how AI-driven video understanding can yield valuable insights, such as enhancing customer experiences and recognizing objects in videos.

Leveraging the capabilities of the Jetson Nano or other Jetson platforms at the Edge, learners can apply the skills gained in this course to a wide array of future projects. This engaging course is readily available on the NVIDIA Deep Learning Institute webpage.

3- Generative AI Explained

“Generative AI Explained” serves as a no-code introduction to the fascinating realm of generative artificial intelligence. This course aims to provide a comprehensive understanding of the concepts and applications of generative AI, while also addressing the potential and challenges of this rapidly evolving field.

Participants will explore how generative AI employs neural networks to identify patterns and generate new content. By the end of the course, learners will possess a solid understanding of generative AI and be able to implement various tools associated with this technology.

Key topics include defining and explaining generative AI concepts, discussing various applications, and addressing its potential risks. This two-hour online course offers a friendly entry point into the world of generative AI, whether you are an aspiring enthusiast or a professional looking to expand your skill set.

4-AI in the Data Center

The “Introduction to AI in the Data Center” course provides an in-depth analysis of artificial intelligence (AI) and its practical implications. It covers how training and inference occur within a deep learning workflow and introduces key concepts like machine learning and deep learning.

The course also investigates the architectural intricacies and historical development of GPUs, emphasizing their transformative role in AI technology. Participants will learn about deep learning frameworks, the AI software stack, and essential components for executing AI workloads in data centers, including on-premises, cloud, hybrid, and multi-cloud environments.

This course serves as a preparatory tool for those pursuing the NVIDIA Certified Associate – “AI in the Data Center” certification, helping enhance professional development in data center operations and AI knowledge.

5- Augment Your LLM Using RAG

“Augment Your LLM Using RAG” introduces Retrieval Augmented Generation (RAG) and its role in enriching Generative AI (GenAI).

This hour-long course simplifies LLMs, vector databases, and embedding models, making it ideal for technical novices. For those interested in personalized learning, private sessions may be requested alongside a schedule of public workshops. This online course serves as an excellent starting point for understanding Retrieval Augmented Generation and its impact on Generative AI.

6-Building RAG Agents with LLMs

In “Building RAG Agents with LLMs,” learners get a comprehensive introduction to retrieval-augmented generation (RAG) and large language models (LLMs). The course focuses on deploying and efficiently implementing deep learning models to meet user needs.

Students will delve into topics like orchestration mechanisms behind LLMs, dialogue management, and effective tool usage. The course emphasizes the composition of LLM systems, document reasoning, and modularization of RAG agents, utilizing tools such as Gradio, LangChain, Microservices, and LangServe.

This eight-hour program requires intermediate proficiency in Python, understanding of PyTorch, and basic knowledge of deep learning.

7- Mastering Recommender Systems

“Mastering Recommender Systems” is designed for individuals interested in mastering the techniques used by Kaggle Grandmasters in creating an e-commerce recommendation system.

Learners will explore concepts like the two-stage model of recommender systems, candidate generation, co-visitation matrices, feature selection, engineering for ranker models, and model ensembling. This program provides thorough educational experiences through video lectures, including real-world applications.

8- Getting Started with AI on Jetson Nano

“Getting Started with AI on Jetson Nano” offers makers and technology enthusiasts a chance to explore the potential of Artificial Intelligence. Through this course, users can run multiple neural networks simultaneously to accomplish tasks such as segmentation, object detection, image classification, and audio processing.

Participants will create a computer vision model-based deep learning project using Jupyter iPython notebooks on their own Jetson Nano device. Basic proficiency in Python and the NVIDIA Jetson Nano Developer Kit are prerequisites for enrollment.

9- How to Perform Large-Scale Image Classification

In “How to Perform Large-Scale Image Classification,” participants learn strategies needed to excel in large-scale image classification tasks, specifically for the Google Landmark Recognition 2020 Kaggle competition.

The course covers various modeling methods, conventional techniques, validation strategies, model architecture, ensembling, and augmentation techniques, such as cutouts.

✅ Very important:
All the links in this article point to the official websites of each course mentioned.

Conclusion

With NVIDIA leading the way in AI technology, you can embark on a unique learning journey through these nine free courses. They offer a practical approach to mastering the complexities of AI, from building AI applications on the Jetson Nano to understanding recommender systems and large-scale image classification.

These offerings are designed to empower you, regardless of your background in data science, machine learning, or AI. By leveraging NVIDIA’s courses, you can develop your skills and become an integral part of the ongoing AI revolution.