Join us at We Are Developers World Congress from July 9 to 11 to attend our workshops and connect with experts.
]]>Unlock your potential with the new NCP-Accelerated Data Science and AI Networking certifications. Validate your skills in GPU-accelerated tools, data science workflows, and NVIDIA networking.
]]>Join this multi-time zone webinar on learning more about the NVIDIA Certifications. Learn the practical prep tips from NVIDIA Certification experts, insights on how exams are built, and stories from certified professionals on why they chose to get certified and how it��s impacted their careers.
]]>Large language models (LLMs) are capable of recognizing, summarizing, translating, predicting, and generating content. Yet even the most powerful LLMs face limitations when working with specialized business knowledge, niche technical domains, or the diverse linguistic and cultural contexts of global operations. Most models labeled as multilingual, for example, are trained mainly in English��
]]>Join us at GTC Paris on June 10th and choose from six full-day, instructor-led workshops.
]]>When interacting with transformer-based models like large language models (LLMs) and vision-language models (VLMs), the structure of the input shapes the model��s output. But prompts are often more than a simple user query. In practice, they optimize the response by dynamically assembling data from various sources such as system instructions, context data, and user input.
]]>Missed GTC? This year��s training labs are now available on demand to watch anywhere, anytime.
]]>Generative AI, powered by advanced machine learning models and deep neural networks, is revolutionizing industries by generating novel content and driving innovation in fields like healthcare, finance, and entertainment. NVIDIA is leading this transformation with its cutting-edge GPU architectures and software ecosystems, such as the H100 Tensor Core GPU and CUDA platform��
]]>Universal Scene Description (OpenUSD) is an open, extensible framework and ecosystem with APIs for composing, editing, querying, rendering, collaborating, and simulating within 3D virtual worlds. This post explains how you can start using OpenUSD today with your existing assets and tools and what steps you can take to iteratively up-level your USD workflows. For an interactive��
]]>Join the live webinar to learn practical exam preparation tips, and get your questions answered by NVIDIA recruiters on taking advantage of certifications for your career.
]]>Immerse yourself in NVIDIA technology with our full-day, hands-on technical workshops at our AI Summit in Washington D.C. on October 7, 2024.
]]>Register now for an instructor-led public workshop in July, August or September. Space is limited.
]]>With AI introducing an unprecedented pace of technological innovation, staying ahead means keeping your skills up to date. The NVIDIA Developer Program gives you the tools, training, and resources you need to succeed with the latest advancements across industries. We��re excited to announce the following five new technical courses from NVIDIA. Join the Developer Program now to get hands-on��
]]>With the GTC session catalog now live, it��s time to start building your personalized agenda for the conference. For those of you who will be joining us in San Jose, this post covers the technical training opportunities that you won��t want to miss. If you can��t attend GTC in person, please take advantage of the 15 virtual workshops scheduled in EMEA, India, and China time zones.
]]>Synthetic data generation is a data augmentation technique necessary for increasing the robustness of models by supplying training data. Explore the use of Transformers for synthetic tabular data generation in the new self-paced course.
]]>Learn the basics of retrieval-augmented generation (RAG), an end-to-end architecture used to optimize the output of an LLM.
]]>Learn how transformers are used as the building blocks of modern large language models in this new self-paced course.
]]>Register for expert-led technical workshops at NVIDIA GTC and save with early bird pricing through February 7, 2024.
]]>AI is quickly becoming an integral part of diverse industries, from transportation and healthcare to manufacturing and finance. AI powers chatbots, recommender systems, computer vision applications, fraud prevention, and autonomous vehicles. It also has broad applications in engineering and science. Physics-informed machine learning (physics-ML) leverages knowledge of the physical world to��
]]>Interested in developing LLM-based applications? Get started with this exploration of the open-source ecosystem.
]]>NVIDIA LLM Developer Day is a virtual event providing hands-on guidance for developers exploring and building LLM-based applications and services. You can gain an understanding ?of key technologies, their pros and cons, and explore example applications. The sessions also cover how to create, customize, and deploy applications using managed APIs, self-managed LLMs��
]]>In this instructor-led workshop, learn how to create an end-to-end hardware-accelerated industrial inspection pipeline to automate defect detection. Using real NVIDIA production data set as an example, we show how the application can be easily applied to a variety of manufacturing use cases. You also learn how to extract meaningful insights from the provided data set using pandas .
]]>Take a deep dive into denoising diffusion models, from building a U-Net to training a text-to-image model.
]]>Dive into the RAPIDS Accelerator for Apache Spark toolset, including the workload qualification tool for estimating speedup on GPU and the profiling tool for tuning jobs.
]]>Learn how to train the largest neural networks and deploy them to production.
]]>Take this free self-paced course to learn how to leverage NVIDIA Omniverse Kit to easily build apps on the Omniverse platform.
]]>Learn how to build and deploy production-quality conversational AI apps with real-time transcription and NLP.
]]>Explore generative AI concepts and applications, along with challenges and opportunities in this self-paced course.
]]>Learn key techniques and tools required to train a deep learning model in this virtual hands-on workshop.
]]>Learn to create an end-to-end machine learning pipeline for large datasets with this virtual, hands-on workshop.
]]>Join the free NVIDIA Developer Program and enroll in a course from the NVIDIA Deep Learning Institute.
]]>Join these upcoming workshops to learn how to train large neural networks, or build a conversational AI pipeline.
]]>On May 23 at 9 am CEST learn to build and deploy production-quality conversational AI applications with real-time transcription and natural language processing capabilities.
]]>Last August, I wrote a post about GTC that asked, ��What if you could spend 8 hours with an AI legend while getting hands-on experience using some of the most advanced GPU and DPU technology available?�� My point still stands: This is exactly why you should attend training at GTC. The virtual conference offers hands-on workshops and training labs to deepen your skills in the areas of AI, HPC��
]]>Learn how to write scalable GPU-accelerated hybrid applications using C++ standard language features alongside MPI in this interactive hands-on self-paced course.
]]>Learn how to create an end-to-end hardware-accelerated industrial inspection pipeline to automate defect detection in this workshop on January 18 (CET).
]]>The Metaverse is providing new opportunities for everyone��for artists?building content across multiple 3D tools,?for developers?building AI trained in virtual worlds, and for enterprises?building digital twin?simulations of their industrial processes. NVIDIA Omniverse is a computing platform for building and navigating virtual worlds. Based on Pixar��s Universal Scene Description (USD)��
]]>Learn to detect data abnormalities before they impact your business by using XGBoost, autoencoders, and GANs. Workshops are available in both the NALA and EMEA regions.
]]>Learn how to train the largest of deep neural networks and deploy them to production.
]]>This self-paced, free tutorial provides a basic understanding of the NVIDIA Isaac Sim interface and the documentation needed to begin robot simulation projects.
]]>Learn tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA.
]]>Select from 20 hands-on workshops, offered at GTC, available in multiple languages and time zones. Early bird pricing of just $99 ends Aug 29 (regular $500).
]]>Learn how to use NVIDIA developer tools, Nsight Systems, and Nsight Compute to optimize CUDA applications in this new course from DLI.
]]>In this new course learn about creating software-defined, cloud-native, DPU-accelerated services with zero-trust protection for increasing the performance and security demands of modern data centers.
]]>In collaboration with the United Nations, DLI is offering a new free online course focused on applying deep learning methods to generate accurate flood detection models.
]]>Are you looking to grow your technical skills with hands-on, instructor-led training? The NVIDIA Deep Learning Institute (DLI) is offering full-day workshops at NVIDIA GTC, March 21-24. Register for a workshop and learn how to create cutting-edge GPU-accelerated applications in AI, data science, or accelerated computing. Each hands-on session gives you access to a fully configured GPU��
]]>This past year, NVIDIA announced several major breakthroughs in conversational AI for building and deploying automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech (TTS) applications. To get developers started with some quick examples in a cloud GPU-accelerated environment, NVIDIA Deep Learning Institute (DLI) is offering three fast, free, self-paced courses.
]]>Join the NVIDIA Triton and NVIDIA TensorRT community to stay current on the latest product updates, bug fixes, content, best practices, and more. A lot of love goes into building a machine-learning model. Challenges range from identifying the variables to predict to experimentation finding the best model architecture to sampling the correct training data. But, what good is the model if��
]]>The NVIDIA Deep Learning Institute (DLI) is offering instructor-led, hands-on training on how to build applications of AI for anomaly detection. Anomaly detection is the process of identifying data that deviates abnormally within a data set. Different from the simpler process of identifying statistical outliers, anomaly detection seeks to discover data that should not be considered normal��
]]>As the world continues to evolve and become more digital, conversational AI is increasingly used as a means for automation. This technology has been shown to improve customer experience and efficiency, across various industries and applications. The NVIDIA Deep Learning Institute is hosting a workshop on how to build a conversational AI service using the NVIDIA Riva framework.
]]>Artificial intelligence (AI) is taking the automotive industry by storm. AI-powered robotaxis are expected to create a $2 trillion market worldwide by 2030, according to global financial services firm UBS. One of the most prominent ways AI is revolutionizing the industry is the development of autonomous driving technology. Self-driving cars use camera-based machine vision systems and radar��
]]>The NVIDIA Deep Learning Institute (DLI) has launched two new self-paced courses giving accelerated computing enthusiasts hands-on training on how to scale workloads across multiple GPUs with CUDA C++ and accelerate CUDA C++ applications with concurrent streams. Each course will give you access to a GPU-accelerated server in the cloud and the opportunity to earn an NVIDIA DLI certificate to��
]]>Computationally-intensive CUDA C++ applications in high performance computing, data science, bioinformatics, and deep learning can be accelerated by using multiple GPUs, which can increase throughput and/or decrease your total runtime. When combined with the concurrent overlap of computation and memory transfers, computation can be scaled across multiple GPUs without increasing the cost of��
]]>The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a certificate of competency to support professional growth. Now, as developers continue to work remotely, NVIDIA is offering new online courses they can��
]]>The NVIDIA Deep Learning Institute (DLI) recently released the latest version of the Accelerated Computing Teaching Kit. NVIDIA Teaching Kits are complete course solutions for use by educators in a variety of academic disciplines that benefit from GPU-accelerated computing. The new modules were developed in collaboration with University of Delaware Professor Sunita Chandrasekaran and��
]]>To build advanced high-performance computing (HPC) applications efficiently, it��s critical to leverage HPC container technologies like Docker and Singularity to access many application components �C libraries, software stacks, and more �C in a way that is portable and easy to reproduce. In the new NVIDIA Deep Learning Institute (DLI) online course on High-Performance Computing with Containers��
]]>With the immense amounts of data required to train neural networks effectively, it��s critical to know how to leverage the power of multiple GPUs. The NVIDIA Deep Learning Institute (DLI) launched a new online course today in collaboration with Uber called Deep Learning at Scale with Horovod. The course teaches you how to scale deep learning training to multiple GPUs using Horovod��
]]>Looking to get started with AI but don��t know how? NVIDIA has just published a new self-paced Deep Learning Institute course that uses the newly released Jetson Nano Developer Kit to get up and running fast. In the course, students will learn to collect image data and use it to train, optimize, and deploy AI models for custom tasks like recognizing hand gestures, and image regression for��
]]>