Artificial Intelligence Courses from Google NVIDIA Official Website Free AI
NVIDIA, the global leader in artificial intelligence and graphics card technologies, is offering nine free online courses in 2025, aimed at equipping individuals with in-demand skills in artificial intelligence, machine learning, and data analytics. Designed for all levels, from beginners to professionals, NVIDIA's AI courses represent a valuable opportunity to enhance professional skills and advance your career .
8 Free Courses Offered by NVIDIA You Shouldn't Miss:-
NVIDIA Artificial Intelligence Courses
1. Explaining generative artificial intelligence
Defining generative AI and explaining how it works.
Describe various generative AI applications.
Explaining the challenges and opportunities in generative artificial intelligence.
2. AI for Everyone: From Basics to Generative AI Practice
The impact of artificial intelligence on industries such as healthcare and self-driving vehicles.
From machine learning to generative AI.
How to create generative AI for music, images, and videos.
NVIDIA is one of the world's most influential hardware giants. Aside from its popular graphics processing units (GPUs), the company also offers free courses to help you understand more about generative AI, GPUs, robotics, chips, and more.
Most importantly, all of these tasks are available for free and can be completed in less than a day.
1. Accelerate your data science workflow without any code changes
Efficient data management and analysis is critical for companies operating in software, finance, and retail. Traditional CPU-based workflows are often cumbersome, but GPUs enable faster insights, leading to better business decisions.
In this workshop, you will learn how to build and implement comprehensive GPU-accelerated data science workflows for rapid data exploration and production deployment. Using RAPIDS™-accelerated libraries, one can implement GPU-accelerated machine learning algorithms, including XGBoost, single-source shortest path in cuGraph, KNN and DBSCAN in cuML, and logistic regression.
More details about the course can be found here.
2. Explaining generative artificial intelligence
This free, self-paced online course introduces the fundamentals of generative AI, which involves creating new content based on various inputs. Through this course, participants will gain an understanding of the concepts, applications, challenges, and prospects of generative AI.
Learning objectives include defining generative AI and how it works, identifying its various applications, and discussing its associated challenges and opportunities. All you need to participate is a basic understanding of machine learning and deep learning principles.
To learn about the course and find out more details, check it here.
3. Digital fingerprint using Morpheus
This one-hour training course teaches participants how to develop and deploy NVIDIA's Digital Fingerprint AI workflow, providing complete data visibility and significantly reducing threat detection time.
Participants will gain hands-on experience with the NVIDIA Morpheus AI framework, designed to accelerate GPU-based AI applications to filter, process, and classify large amounts of streaming cybersecurity data.
Additionally, they will learn about NVIDIA Triton Inference Server, an open-source tool that facilitates the unified deployment and execution of AI models across diverse workloads. There are no prerequisites for this tutorial, although familiarity with defensive cybersecurity concepts and the Linux command line is helpful.
To learn about the course and find out more details, check it here.
4. Build the mind in 10 minutes
This course delves into the fundamentals of neural networks, drawing on biological and psychological insights. Its goals are to demonstrate how neural networks use data to learn and understand the mathematical principles underlying neuronal function.
While anyone can implement the provided code to monitor its operations, it is recommended that you have a good understanding of basic Python 3 programming concepts—including functions, loops, dictionaries, and arrays. Additionally, familiarity with calculating regression lines is also recommended.
To learn about the course and find out more details, check it here.
5. Introduction to CUDA
This course delves into the fundamentals of writing highly parallel CUDA kernels designed to execute on NVIDIA GPUs.
One can gain proficiency in several key areas: launching massively parallel CUDA cores on NVIDIA GPUs, orchestrating the execution of parallel threads to process large datasets, efficiently managing memory transfers between the CPU and GPU, and leveraging profiling techniques to analyze and optimize the performance of CUDA code.
Here is the link to learn more about the training course here.
7. Boost your LLM with RAG
Retrieval Augmented Generation (RAG), pioneered by Facebook AI Research in 2020, offers a way to enhance LLM outputs by incorporating real-time, domain-specific data, eliminating the need to retrain the model. RAG combines an information retrieval module with a response generator, forming an integrated architecture.
Based on NVIDIA's internal practices, this presentation aims to provide a basic understanding of RAG, including the retrieval mechanism and core components within the NVIDIA AI Fundamentals framework.
By understanding these basics, you can begin your exploration of LLM and RAG applications.
To learn about the course and find out more details, check it here.
8. Start using AI on the Jetson Nano
The NVIDIA Jetson Nano Developer Kit empowers content creators, self-taught developers, and embedded technology enthusiasts worldwide with AI capabilities.
This powerful and easy-to-use computer allows multiple neural networks to be executed simultaneously, enabling various applications such as image classification, object detection, segmentation, and speech processing.
During the course, participants will use Jupyter iPython notebooks on Jetson Nano to create a deep learning classification project using computer vision models.
By the end of the course, individuals will have the skills to develop their own deep learning classification and regression models by leveraging the capabilities of Jetson Nano.
Here is the link to learn more about the training course here.
In the rapidly evolving world of artificial intelligence, staying ahead of the curve is essential. NVIDIA, a leader in AI technology, is addressing this need by offering a comprehensive suite of free AI courses for 2024. These courses are designed to cater to a variety of skill levels and interests, equipping learners with the knowledge needed to navigate and excel in the world of AI. This initiative goes beyond education; it seeks to empower a new generation of AI enthusiasts and professionals to innovate and transform industries.
Uncovering Courses: A Path to AI Mastery
Generative Artificial Intelligence Explained
Generative AI is at the forefront of technological innovation, transforming the way we create and interact with digital content. NVIDIA's "Generative AI Explained" course demystifies this complex topic. In less than an hour, participants will grasp the fundamentals of generative AI, allowing them to explore its broad applications and the challenges it presents. This course is an ideal entry point for beginners and provides insights into how machines generate new content from data patterns.
Build a brain in 10 minutes
Understanding the intricacies of neural networks is crucial for anyone delving into the field of artificial intelligence. The course "Build a Brain in 10 Minutes" provides a quick and comprehensive introduction to how neural networks learn from data. Participants will delve into the mathematical foundations of neurons in a concise timeframe. This course is ideal for beginners eager to decode the mechanics of machine learning. Start building a brain
Artificial Intelligence in the Data Center
The data center is the driving force behind modern AI applications. NVIDIA's "AI in the Data Center" course provides an in-depth exploration of AI applications and the impact of GPU architecture on machine learning workflows. Over four weeks, learners will discover the complexities of deploying AI solutions in data center environments, making it invaluable for IT professionals and data managers. Discover AI in the data center.
Mastering recommendation systems
Recommender systems are the backbone of personalization in e-commerce and digital services. Enriched with insights from Kaggle champions, this course guides participants in building effective systems using candidate generation, feature engineering, and clustering techniques. It's a treasure trove of practical knowledge for those looking to apply machine learning in business contexts.
Large image classification
In an era dominated by visual data, mastering large image classification has become vital. NVIDIA's "Large Image Classification" course provides learners with techniques for handling massive image datasets. Participants will gain skills in modeling and validation strategies in a short learning period, making it accessible to busy professionals.
Building RAG Agents Using Large Language Models
Large language models (LLMs) are revolutionizing AI's ability to process and generate human-like text. The course "Building RAG Agents with LLMs" focuses on scalable deployment strategies for these models and provides insights into modern paradigms for document retrieval systems. This course is ideal for developers and data scientists aiming to implement cutting-edge AI solutions. Explore RAG agents
Introduction to Networks
As artificial intelligence increasingly relies on interconnected systems, understanding networking fundamentals becomes vital. NVIDIA's "Introduction to Networking" course covers fundamental concepts like Ethernet technology and the OSI model over two weeks. It's an excellent starting point for beginners in IT and networking. Get started with networking.
Artificial Intelligence on Jetson NanoLearn
For those interested in hands-on learning, the "Artificial Intelligence on Jetson Nano" course offers hands-on experience with deep learning. Participants will collect data and train models using the Jetson Nano, a powerful and compact AI computer. This course is ideal for both hobbyists and professionals looking to experiment with AI applications. Get started with the Jetson Nano.
Additional Resources for Deep Learning Enthusiasts
To enhance learning, the NVIDIA Deep Learning Institute (DLI) offers a variety of self-paced courses, with hands-on exercises and access to GPU-accelerated servers. Many of these courses provide certificates upon completion, adding value to your professional portfolio.
Enrolling in these courses not only expands your understanding of AI but also puts you at the forefront of technological innovation. Whether you're a beginner or a seasoned professional, NVIDIA's free courses for 2024 offer a unique opportunity to expand your horizons in the dynamic field of AI.