7 Free NVIDIA AI Courses For Everyone You Can’t Miss in 2025!

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NVIDIA, a leader in AI and GPU technology, offers a variety of NVIDIA AI Courses that are not only free but also designed to equip learners with essential skills. In this post, we will explore seven outstanding free NVIDIA AI courses that you cannot afford to miss in 2025.

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 NVIDIA AI Courses

About the NVIDIA

Nvidia Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California, and incorporated in Delaware.

Founded in 1993 by Jensen Huang (president and CEO), Chris Malachowsky, and Curtis Priem, it is a software and fabless company that designs and supplies graphics processing units (GPUs), application programming interfaces (APIs) for data science and high-performance computing, and system on a chip units (SoCs) for mobile computing and the automotive market. Nvidia is also a dominant supplier of artificial intelligence (AI) hardware and software.

Nvidia’s professional line of GPUs are used for edge-to-cloud computing and in supercomputers and workstations for applications in fields such as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design.

Its GeForce line of GPUs are aimed at the consumer market and are used in applications such as video editing, 3D rendering, and PC gaming. With a market share of 80.2% in the second quarter of 2023, Nvidia leads the market for discrete desktop GPUs by a wide margin. The company expanded its presence in the gaming industry with the introduction of the Shield Portable (a handheld game console), Shield Tablet (a gaming tablet), and Shield TV (a digital media player), as well as its cloud gaming service GeForce Now.

Eligibility Criteria

Free NVIDIA AI Courses For Everyone.

Why Choose NVIDIA AI Courses?

NVIDIA is renowned for its cutting-edge technology and innovation in the field of artificial intelligence. By offering free courses, NVIDIA aims to democratize access to high-quality education, making it available to everyone—from beginners to seasoned professionals. Here are some compelling reasons to consider these courses:

Expert Instruction: Courses are developed and taught by industry experts, ensuring that you receive top-notch education.

Hands-On Learning: Many courses include practical labs and assignments that allow you to apply what you’ve learned in real-world scenarios.

Flexible Learning: With self-paced options, you can learn at your own convenience without the pressure of deadlines.

Certification Opportunities: While the courses are free, you can earn certificates upon completion, enhancing your resume and career prospects.

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Here are 7 Free NVIDIA AI Courses

1.Building Video AI Applications at the Edge on Jetson Nano

AI-based video understanding can unlock insights, whether it’s recognizing a cat in your backyard or optimizing customers’ shopping experiences. The NVIDIA Jetson Nano Developer Kit is an easy-to-use, powerful computer that lets you run multiple neural networks in parallel. This makes it a great platform for an introduction to intelligent video analytics (IVA) applications using the NVIDIA DeepStream SDK. In this course, you’ll use JupyterLab notebooks and Python application samples on your Jetson Nano to build new projects that extract meaningful insights from video streams through deep learning video analytics. The techniques you learn from this course can then be applied to your own projects in the future on the Nano or other Jetson platforms at the Edge.

Course Link Click Here

2.Building RAG Agents with LLMs

The evolution and adoption of large language models (LLMs) have been nothing short of revolutionary, with retrieval-based systems at the forefront of this technological leap. These models are not just tools for automation; they are partners in enhancing productivity, capable of holding informed conversations by interacting with a vast array of tools and documents. This course is designed for those eager to explore the potential of these systems, focusing on practical deployment and the efficient implementation required to manage the considerable demands of both users and deep learning models. As we delve into the intricacies of LLMs, participants will gain insights into advanced orchestration techniques that include internal reasoning, dialog management, and effective tooling strategies.

Course Link Click Here

3.Augment your LLM Using Retrieval Augmented Generation

Retrieval Augmented Generation (RAG) – Introduced by Facebook AI Research in 2020, is an architecture used to optimize the output of an LLM with dynamic, domain specific data without the need of retraining the model. RAG is an end-to-end architecture that combines an information retrieval component with a response generator. In this introduction we provide a starting point using components we at NVIDIA have used internally. This workflow will jumpstart you on your LLM and RAG journey.

Course Link Click Here

4.Building A Brain in 10 Minutes

This notebook explores the biological and psychological inspirations to the world’s first neural networks.

Learning Objectives

The goals of this exercise include:

Exploring how neural networks use data to learn.

Understanding the math behind a neuron.

Course Link Click Here

5.Generative AI Explained

Generative AI describes technologies that are used to generate new content based on a variety of inputs. In recent time, Generative AI involves the use of neural networks to identify patterns and structures within existing data to generate new content. In this course, you will learn Generative AI concepts, applications, as well as the challenges and opportunities in this exciting field.

Course Link Click Here

6.Accelerate Data Science Workflows with Zero Code Changes

Across industries, modern data science requires large amounts of data to be processed quickly and efficiently. These workloads need to be accelerated to ensure prompt results and increase overall productivity. NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes.

Course Link Click Here

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7.Getting Started with AI on Jetson Nano

The power of AI is now in the hands of makers, self-taught developers, and embedded technology enthusiasts everywhere with the NVIDIA Jetson developer kits. This easy-to-use, powerful computer lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. In this course, you’ll use Jupyter iPython notebooks on your own Jetson to build a deep learning classification project with computer vision models.

Course Link Click Here

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