Regarding the contemporary ways of handling technology, and innovation, everyone must progress, learn, and evolve. NVIDIA is a leading player in the space of artificial intelligence and GPUs, and because of this, the company is aware of the demand for education, and, to this end, has made a lot of its courses related to generative AI available for free. These courses include the basics of the subject as well as the most complex procedures, however, all courses are designed to be useful for novices and experienced workers at the same time.
In this preview of the 10 free generative AI courses by NVIDIA. You will learn about the course topics, a more detailed look into each course, and how you can sign up and kick off your generative AI journey.
Agenda: Generally known as reverse machine learning, generative AI encourages newcomers to embrace the sector’s distinct notions, prominent use cases, innovative opportunities as well as primary difficulties.
Description: This no-coding free generative AI course by NVIDIA. It is suitable for anyone who is not familiar with generative AI. It begins by giving an overview of what generative AI is, and additionally, what it is capable of and in what sectors it may be utilized. Regardless of what particular focus in artificial intelligence one may have for creative arts, healthcare, or business purposes this course seems to be sufficiently comprehensive.
Source Link: Enroll Here
Agenda: Introduction of RAG and how it is making generative AI better with the help of Large Language Models (LLMs).
Description: Retrieval-augmented generation (RAG) is one of the strongest methods that can be used to enhance the efficiency of large generative models by using additional sources of knowledge. Now with RAG, you will discover how to improve the generative AI and make it even more accurate and context-aware. Hence, is one of the finest courses among the generative AI courses by NVIDIA.
Source Link: Enroll Here
Agenda: Strategies to use in constructing sound RAG agents with LLMs.
Description: This advanced-level hands-on course builds upon your basics of RAG by introducing to you how to develop RAG agents to execute real tasks. Using the adopted approach, you will effectively acquire real-world experience in developing AI systems with LLM allowing for dynamic problem-solving and decision-making.
Source Link: Enroll Here
Agenda: A roadmap to digital fingerprinting methodologies with the help of NVIDIA Morpheus.
Description: Digital fingerprinting as a primary component of the existing model in the cyber-security sphere cannot be overestimated. This course provides you with information on how, using NVIDIA Morpheus, an AI framework for cybersecurity, digital fingerprints are made. You will be informed on how these techniques can be used to guard systems and data from cyber threats.
Source Link: Enroll Here
Agenda: Fast guide to gaining an idea of how to build a neural network from scratch.
Description: Neural networks are at the core of AI and this course provides a high-speed run-through of building and training some of these. You don’t need any prior experience with AI, and you’ll be able to build a simple neural network in under 10 minutes and get a sense of how models are constructed and trained.
Source Link: Enroll Here
Agenda: Designing video AI solutions on the NVIDIA Jetson Nano.
Description: Real-time video use is already seeing the shift to edge computing that AI is undergoing. This course will provide instructions on how to construct and deploy video AI apps on edge devices based on the NVIDIA Jetson Nano. This knowledge is somehow crucial when designing AI solutions that have a low latency and are real-time based.
Source Link: Enroll Here
Agenda: User creation of ad hoc tools for manipulating objects in 3D scenes.
Description: NVIDIA Omniverse is an open and extensible platform for building and operating large-scale, multi-platform, and multi-physics 3D workflows. This course will enable you to design special tools for the operation of 3D scenes, that enable one to construct scenes as well as modify complicated scenes in 3D. Regardless of your academic discipline game development, filmmaking, or industrial design, this course will improve your modeling abilities.
Source Link: Enroll Here
Agenda: Cross-simulation and creation of an initial robot using Isaac Sim.
Description: Robotics and AI are tandem and this course introduces you to Nvidia Isaac Sim which is a simulation for robots. Finally, as part of the practical assignments, you will find out how to put together and program a basic robot and thus get hands-on exposure to Robotics and AI systems.
Source Link: Enroll Here
Agenda: Beginner’s guide to AI development on Jetson Nano.
Description: All in all, if you are curious about the AI development of edge devices, this is the right class for you. It gives a step-by-step approach for developing and deploying AI models on the Jetson Nano platform including installation. Hence, is one of the AI courses by NVIDIA.
Source Link: Enroll Here
Agenda: Instructions for writing parallel CUDA kernels for NVIDIA Graphics Processing Units.
Description: CUDA is a parallel computing architecture and API model that has been developed by NVIDIA. It breaks the ultracomplex structure of the topic down and enables a student to get the introduction to CUDA programming and writing parallel code for NVIDIA GPUs. Beginners in CUDA or those who require a quick brush-up will have their CUDA parallel computing proficiency enriched by this course.
Source Link: Enroll Here
These free generative AI courses by NVIDIA are a good way to get valuable information and practical experience in the sphere of AI and the technologies connected with it. Regardless of whether the person is a novice or a skilled worker, each of these courses will be useful to the participant. Once you apply and enroll in these courses, you will be in a position to face and excel in the ever-evolving AI environment.
What are the prerequisites for enrolling in these NVIDIA generative AI courses?
Most of the courses are designed to be accessible to learners of all levels, with no prerequisites required. However, some courses may benefit from a basic understanding of programming or AI concepts. Each course description provides specific details about the required knowledge.
Are these NVIDIA AI courses completely free?
Yes, all the courses listed are completely free. They are part of NVIDIA's initiative to make AI education accessible to a wider audience.
How can I enroll in these courses?
You can enroll in the courses by clicking on the "Enroll Here" link provided in the course descriptions. This will direct you to the NVIDIA website where you can sign up for the course.
Do these courses offer a certificate upon completion?
Yes, most of these courses offer a certificate upon successful completion, which you can add to your professional portfolio or LinkedIn profile.
How long does it take to complete each course?
The duration of each course varies. Some courses, like "Building a Brain in 10 Minutes," are short and can be completed quickly, while others may take several hours to complete. Course details usually include the estimated time commitment.
Are these courses self-paced or instructor-led?
The courses are typically self-paced, allowing you to complete them at your convenience. You can start and stop as needed, making it easier to fit into your schedule.
What kind of support is available if I encounter difficulties during the course?
NVIDIA provides various support options, including forums, community groups, and sometimes direct assistance from instructors. The course platform may also offer resources like FAQs and troubleshooting guides.
Can I download the course materials for offline study?
Course materials availability for download depends on the specific course. Some courses may offer downloadable resources, while others may require you to access the content online.
Will these courses help me in my career or academic pursuits?
Absolutely! These courses are designed to equip you with valuable skills in generative AI and related technologies, which are highly sought after in various industries. Completing these courses can enhance your resume and open up new career opportunities.
Can I take multiple courses simultaneously?
Yes, you can enroll in multiple courses at once. Since they are self-paced, you can manage your time and progress through each course at your speed, depending on your availability and interest.