Generative AI is shaping the world faster than ever, and NVIDIA has just made it quite easy for everyone to get on board. Whether you’re a Gen AI enthusiast, a developer, or just curious about cutting-edge technology, NVIDIA’s newly released free AI courses are going to be useful for you.
What’s the catch? There isn’t just one. These courses are completely free—no payment required—and designed to equip you with practical, hands-on skills in AI, machine learning, and edge computing.
From mastering image classification and regression to building AI systems on the Jetson Nano Developer Kit, NVIDIA’s offerings cover an exciting range of topics. In this blog, we’ll highlight 9 must-take courses in 2025 that can help you kickstart your AI journey. Let’s get started.
Table of contents
1. Getting Started with AI on Jetson Nano
Course Objective: Gain foundational knowledge in AI by building and training a classification dataset and model using the NVIDIA Jetson Nano. This course will provide you with the knowledge to understand how to set up the Jetson Nano Developer Kit, collect data, and train your machine-learning model.
Why Take This Course? Ideal for beginners, this course introduces AI concepts and provides hands-on experience with edge computing.
Click here to checkout this NVIDIA free course.
2. Accelerate Data Science Workflows with Zero Code Changes
Course Objective: Understand how to leverage RAPIDS, an open-source suite of software libraries, to speed up your data science workflows by utilizing GPU acceleration for data preprocessing, machine learning, and data visualization.
Why Take This Course? To Enhance your productivity by going from CPU-based tasks to GPUs, thereby dramatically saving your computation time.
Click here to checkout this free AI course.
3. Generative AI Explained
Course Objective: Explore the world of Generative AI, its core concepts, applications, and the challenges it presents. Understand the impact that this technology has in reshaping industries across the globe.
Why Take This Course? To get an overview of Generative AI’s impact and potential.
Click here to checkout this course.
4. Building a Brain in 10 Minutes
Course Objective: Discover the biological motivation behind the development of neural networks and how these logics translate into the growth of AI systems.
Why Take This Course? To get a unique perspective on the origins of AI and its connection to neuroscience.
Click here to checkout this NVIDIA free AI course.
5. Augment your LLM Using Retrieval Augmented Generation
Course Objective: Learn all about Retrieval-Augmented Generation (RAG) and the capabilities of Large Language Models. Learn to build systems that retrieve relevant information to improve responses.
Why Take This Course? To gain a foundational knowledge of RAG-based systems.
Checkout this NVIDIA course here.
6. Building RAG Agents with LLMs
Course Objective: Learn to deploy AI agents in practical scenarios. This course covers the end-to-end pipeline for building RAG based agentic systems.
Why Take This Course? To understand how to integrate LLMs with real-world applications.
Click here to find this AI course.
7. Mastering Recommender Systems
Course Objective: Get insights into advanced recommender system strategies employed by NVIDIA’s data science experts, including techniques that have secured top positions in data science competitions.
Why Take This Course? To master one of the most in-demand skills in e-commerce and content platforms.
Explore this free AI course here.
8. Perform Large-Scale Image Classification
Course Objective: Gain an understanding of advanced techniques for tackling large-scale image classification problems by using NVIDIA’s state-of-the-art tools.
Why Take This Course? To enhance your computer vision skill set with real-world applications.
Click here to checkout this course.
9. Building Video AI Applications at the Edge on Jetson Nano
Course Objective: Gain expertise in creating applications using NVIDIA DeepStream SDK to effectively annotate and process video streams.
Why Take This Course? To learn all about video analytics, a crucial area for smart cities, security, and media.
Click here to explore this course.
End Note
NVIDIA has long been a major game player in Generative AI. From developing GPU chips that support all the innovation to bringing out LLMs and Agent infrastructure that will support further progress in the field, NVIDIA has developed technologies at scale. Now with the free courses, it plans to democratize the learning to help learners worldwide join the Gen AI wave.
We also offer some cutting-edge free AI courses – to know more checkout Analytics Vidhya Free Courses!
Anu Madan has 5+ years of experience in content creation and management. Having worked as a content creator, reviewer, and manager, she has created several courses and blogs. Currently, she working on creating and strategizing the content curation and design around Generative AI and other upcoming technology.
