Learn New Technical Skills | NVIDIA Developer

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It’s On Us. </h1> <p class="p--large">Join the NVIDIA Developer Program and take one of the complimentary technical self-paced courses below (worth up to $90).</p> <br> <a style="margin-bottom:45px;" class="cta--prim" href="https://profile.api.courses.nvidia.com/prod/2/dp-enroll-benefit-v1/intent" target="_blank">Claim Now</a> <br> <br> </div> <div class="cntnr--cw"> <ul class="nav nav-tabs justify-content-center"> <li class="nav-item "> <a class="nav-link" data-toggle="tab" href="#gen-ai-llms"><p class="p--medium">Generative AI and LLMs</p></a> </li> <li class="nav-item"> <a class="nav-link" data-toggle="tab" href="#graphics-and-sim"><p class="p--medium">Graphics and Simulation</p></a> </li> <li class="nav-item"> <a class="nav-link" data-toggle="tab" href="#accel-comp"><p class="p--medium">Accelerated Computing</p></a> </li> <li class="nav-item"> <a class="nav-link" data-toggle="tab" href="#data-sci"><p class="p--medium">Data Science</p></a> </li> <li class="nav-item active"> <a class="nav-link active" data-toggle="tab" href="#deep-learning"><p class="p--medium ">Deep Learning</p></a> </li> </ul> <div class="tab-content"> <div class="tab-pane" id="gen-ai-llms"> <br> <div class="row"> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>6 hours</p> <h3 class="h--smaller"> Introduction to Transformer-Based Natural Language Processing </h3> <p class="card-text-padding"> Learn how transformers are used as the building blocks of modern large language models (LLMs). Then use these models for various natural language processing (NLP) tasks, including text classification, named-entity recognition (NER), author attribution, and question answering. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>3 hours</p> <h3 class="h--smaller"> Prompt Engineering With Llama 2</h3> <p> Interact with and prompt engineer Llama 2 models to analyze documents, generate text, and be an AI assistant. </p> </div> </div> </div> </div> </div> <div class="tab-pane" id="graphics-and-sim"> <br> <div class="row"> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>2 hours</p> <h3 class="h--smaller"> Essentials of USD in Omniverse</h3> <p> Explore what makes USD unique and the fundamentals for describing, composing, simulating, and collaborating within 3D worlds. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>4 hours</p> <h3 class="h--smaller"> Introduction to Robotic Simulations in Isaac Sim</h3> <p class="card-text-padding"> Tap into the simulation loop of a 3D engine and initialize experiments with objects, robots, and physics logic. This can be done programmatically using NVIDIA Omniverse™ Kit and Pixar USD commands, but the course will use NVIDIA Isaac Sim™ Core to wrap these low-level operations in an object-oriented fashion. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>3 hours</p> <h3 class="h--smaller">Synthetic Data Generation for Training Computer Vision Models </h3> <p class="card-text-padding"> Learn how to use synthetic data in cases where data collection is a challenge. NVIDIA Omniverse Replicator streamlines synthetic data generation (SDG) using 3D assets into a single application and offers the ability to modify the appearance and format of the data. </p> </div> </div> </div> </div> </div> <div class="tab-pane" id="accel-comp"> <br> <div class="row"> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>8 hours</p> <h3 class="h--smaller"> Fundamentals of Accelerated Computing With CUDA Python</h3> <p> Explore how to use Numba—the just-in-time, type-specializing Python function compiler—to create and launch CUDA® kernels to accelerate Python programs on massively parallel NVIDIA GPUs. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>8 hours</p> <h3 class="h--smaller"> Getting Started With Accelerated Computing in CUDA C/C++</h3> <p class="card-text-padding"> Learn how to accelerate and optimize existing C/C++ CPU-only applications to apply the power of GPUs using the most essential CUDA techniques and the NVIDIA Nsight™ Systems profiler. </p> </div> </div> </div>  <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>2 hours</p> <h3 class="h--smaller"> Optimizing CUDA Machine Learning Codes With Nsight Profiling Tools</h3> <p class="card-text-padding"> Check out NVIDIA Developer Tools, a collection of applications that span desktop and mobile targets and enable developers to build, debug, profile, and develop cutting-edge software using the latest visual computing hardware from NVIDIA. In this course, you’ll learn the effective use of two powerful NVIDIA developer tools: Nsight Systems and Nsight Compute. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>8 hours</p> <h3 class="h--smaller"> Fundamentals of Accelerated Computing With OpenACC</h3> <p> Find out how to write and configure code parallelization with OpenACC, optimize memory movements between the CPU and GPU accelerator, and apply the techniques to accelerate a CPU-only Laplace heat equation to achieve performance gains. </p> </div> </div> </div> </div> </div> <div class="tab-pane" id="data-sci"> <br> <div class="row"> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>6 hours</p> <h3 class="h--smaller"> Accelerating End-to-End Data Science Workflows</h3> <p class="card-text-padding"> Explore how to perform multiple analysis tasks on large datasets using NVIDIA RAPIDS™, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>2 hours</p> <h3 class="h--smaller"> RAPIDS Accelerator for Apache Spark</h3> <p class="card-text-padding"> Get a walk-through of the RAPIDS Accelerator for Apache Spark, including running SQL queries on CPU and GPU in Spark and diving into the toolset that helps enable success. </p> </div> </div> </div> </div> </div> <div class="tab-pane active" id="deep-learning"> <br> <div class="row"> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>8 hours</p> <h3 class="h--smaller"> Getting Started With Deep Learning</h3> <p> Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>2 hours</p> <h3 class="h--smaller"> Modeling Time-Series Data With Recurrent Neural Networks in Keras</h3> <p class="card-text-padding"> Explore how to classify and forecast time-series data using recurrent neural networks (RNNs), such as modeling a patient’s health over time. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>4 hours</p> <h3 class="h--smaller"> Deploying a Model for Inference at Production Scale</h3> <p> Learn how to deploy your own machine learning models on a GPU server. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>8 hours</p> <h3 class="h--smaller"> Building Real-Time Video AI Applications</h3> <p> Gain the knowledge and skills needed to enable the real-time transformation of raw video data from widely deployed camera sensors into deep learning-based insights. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>2 hours</p> <h3 class="h--smaller"> Introduction to Graph Neural Networks</h3> <p> Learn the basic concepts, models, and applications of graph neural networks. </p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>4 hours</p> <h3 class="h--smaller">Introduction to Physics-Informed Machine Learning With Modulus</h3> <p class="card-text-padding">Learn the various building blocks of NVIDIA Modulus, which turbocharges use cases by building physics-based deep learning models that are 100,000X faster than traditional methods and offers high-fidelity simulation results.</p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>2 hours</p> <h3 class="h--smaller">Get Started With Highly Accurate Custom ASR for Speech AI</h3> <p class="card-text-padding">Learn to build, train, fine-tune, and deploy a GPU-accelerated automatic speech recognition (ASR) service with NVIDIA® Riva that includes customized features.</p> </div> </div> </div> <div class="col-lg-4 col-md-4 col-sm-12 col-xs-12"> <div class="card"> <div class="card-cntnt-cntnr"> <p>2 hours</p> <h3 class="h--smaller">Integrating Sensors With NVIDIA DRIVE</h3> <p class="card-text-padding">Find out how to integrate automotive sensors into your applications using NVIDIA DRIVE®.</p> </div> </div> </div> </div> </div> </div> </section> <section class="sct--xs"> <div class="cntnr--cw txt-cntr"> <h2 class="h--medium txt-clr--blck">Expand Your Knowledge and Sharpen Your Skills</h2> <p class="content-l">The NVIDIA Developer Program connects you with the best resources to do your life’s work. 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