Nvidia, a titan in the tech industry, is making waves with its high-performance GPUs and its dedication to education, driven by a recent spike in earnings and revenues. The company provides an extensive library of free courses aimed at giving you the skills you need to explore the fascinating field of AI like robotics, GPUs, generative AI, and more. Here’s a sneak peek at five such courses that you may finish quickly and for free!
Top 5 Free AI Courses by Nvidia
Generative AI Explained
This free online course is your first step towards learning the principles of generative AI, a system that can create original material from a variety of sources. You will have a solid understanding of the fundamental ideas, practical applications, difficulties, and promising future of generative AI at the end of the course.
It is advised to have a fundamental grasp of machine learning and deep learning concepts in order to get the most out of this course.
Digital Fingerprinting with Morpheus
You will have the knowledge and abilities to create and implement NVIDIA’s digital fingerprinting AI process after completing this intense one-hour training. This ingenious solution drastically reduces threat detection time and offers full data visibility.
The NVIDIA Morpheus AI Framework, a tool to speed up GPU-based AI applications for activities like filtering, analysing, and categorising large volumes of cybersecurity data pouring your way, will be put to the test here. You will also learn about the NVIDIA Triton Inference Server, an open-source gem that makes it easier to install and run AI models on a variety of workloads. Although prior expertise is not required, having an understanding of defensive cybersecurity principles and the Linux command line will undoubtedly give you an advantage.
Building a Brain in 10 Minutes
This course explores neural networks from the inside out, taking cues from the functioning of the human brain. It clarifies how these networks use data for learning and highlights the mathematical ideas that underpin the operation of a single neuron.
Although anybody can play around with the given code to see how a neural network operates, it is advised to have a firm grasp of basic Python 3 programming concepts including functions, loops, dictionaries, and arrays. It will also help to review the computation of regression lines.
Building RAG Agents with LLMs
With good cause, retrieval-based LLM systems are the rage these days! They are proficient in having fruitful discussions, using a variety of tools, analysing papers, and planning. With the help of this course, you will be able to scale and deploy these agent systems efficiently in order to meet the always expanding demands of users and clients.
Here, you will learn about effective ways to install vector databases and LLMs, understand microservices and how they work together, and play with state-of-the-art LangChain models for document retrieval and dialogue management. Furthermore, you will gain hands-on experience with cutting-edge models and acquire insightful understanding about investigating different frameworks and productionalizing these systems.
This course is designed for you if you have some prior experience with LLMs and similar composition frameworks like as LangChain, along with intermediate Python expertise.
Building Video AI Applications at the Edge on Jetson Nano
With the help of the NVIDIA Jetson Nano Developer Kit, this self-paced online course gives you the skills you need to create AI-powered video understanding apps. You will get an understanding of the exciting field of intelligent video analytics (IVA) applications driven by the NVIDIA DeepStream SDK through a combination of hands-on exercises and Python application samples in JupyterLab notebooks.
The Jetson Nano setup, building end-to-end DeepStream pipelines for video analysis, including different input and output sources, configuring multiple video streams, and using alternative inference engines such as YOLO are all covered in this course. Basic knowledge of Python 3 programming principles and the Linux command line is recommended in order to get the most out of this course. The Jetson Nano Development Kit and other specialised hardware are needed for the course, which makes use of technologies like DeepStream and TensorRT. After finishing, a certificate will be given to you and you will be evaluated using multiple-choice questions.
You will need some extra power for this course: an NVIDIA Jetson Nano Developer Kit (2GB version or equivalent), a USB data cable, microSD card, appropriate power source, and a USB webcam.
Nvidia’s Stellar Financial Performance
Comparing the same time in 2023 to the most current one, NVIDIA’s profit and revenues increased by 628% and 268%, respectively. The first quarter ended April 28 saw an almost seven-fold increase in the company’s net profits, reaching $14.88 billion. With this out-of-the-ordinary gain, NVIDIA shares surpassed $1,000 in extended trading. NVIDIA also declared a quarterly dividend of 10 cents, a 150% increase, and a 10-for-1 stock split.
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