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NVIDIA is one of the most influential hardware giants in the world. Apart from its much sough soughter gpus, The Company Also PROVIDES FREESTO HELP You Stand More About Generative AI, GPU, Robotics, Chips, and More.
Most Importantly, all of the available free of Cost and Can Be Completed in Less a Day. Let ’s take a look at them.
Building rag agents for llms count is available for free for a lawd time. It explores the revolutionary Impact of Large Language Models (LLMS), particularly RIEVAL-BASED SYSTEMS, Which are transforming Productivity by ENABLING InformationDesigned for Individuals Keen on Harnessing The Systems' Potential, The Course Emphasisisisisisisis DEPLOYENT and EFFICIENT IMPLEMATATATIONTATOREOREOREOREOREOREOOOOOOOOOOOOOOOOOOOOOOOOOsKOAEationationationationationationationationationation wayctEEEEEEEEEEEEEEEEEEesesteeste his Demands of Users and Deep Learning Models. PARTICIPANTS Will Delve Advanced Orchestration Techniques, Including Internal Reasoning, Dialog Management, and E. FFECTIVE Tooling Strategies.
In this workshop you will learn to devert an llm system that Internets prealtably with users by utilising interior and external reasoning components.
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EFFICient Data Management and Analysis are cracial for companies in Software, Finance, and Retail. nable faster insights, driving better business decisions.
In this workshop, One Will Learn to Build and Execute End-To-End GPU-ACCELERED DATA Science WORKS FORAPID DATA Exploration and PRODUCTION DEPLOYMENTKanpur Investment. G RAPIDS ™ -Accelerated Libraries, One Can Apply GPU-ACCELERATD MACHINE Learning Algorithms, Including XGBOOST,Cugraph's Single-Source Shortest Path, and Cuml's Knn, DBSCAN, and Logistic Regression.
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This seld-paced, free online countroduces generate ai functionals, which inflection new connected onPuts. Through this count Articipants Will Grasp the Concepts, Applications, Challenges, and Prospects of Generation AI.
Learning Objectives Include Defining Generation Ai and ITS FUNCTING, OUTLING DIVERSERSE Applications, and Discussing the Association Challenges and optionuniti ES. All you need to participate is a basic undertnding of machine learning and deep learning principles.
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This One-Hour Course Introducess Participants to Developing and DEPLOYING The Nvidia Digital FingerPrinting Ai Workflow, PROVIDING Complete Data Visibility AN D SIGNIFICANTLY Reducing Threat Detection Time.
Participants Will Gain Hands-On Experience with the Nvidia Morpheus Ai Framework, Designed to Accelerate GPU-BASED AI Applications for Filtering, Processing C Lassifying large volumes of streaming cybersecurity data.
Additionally, They Will Learn About the Nvidia Triton Inference Server, An Open-Source TOOL that Facilities STANDARDISEDDISEDDISEDDANT and Execution of AI MODELS A Cross various workloads. No carEquisites are needed for this tutorial, Although Familiarity with Defensive CybeRSECURITY Concepts and The Linux Command Line I SBenefoice.
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This counto neural networks ’find, drawing from biology and psychology insights. Its objects are to elucidate how TWORKS EMPLOY Data for Learning and to Grasp the Mathematical Principles underlying a Neuron ’s Functioning.
While Anyone Can Execute The Code PROVIDED to ObservE ITS Operations, a solid grasp of funds, Tionaries, And Arrays -IS Advised. AdDityally, Familiarity with Computing Regression Lines is Also recommended.
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This counto the functionals of writing highly Parallel CUDA KERNELS Designed to Execute on Nvidia GPUS.
ONE Can Gain Proficience in Several Key Areas: Launching Massively Parallel Cuda Kernels on Nvidia GPUS, Orchestrating Parallel Thread EXECUTION Cessing, Effectively Managing Memory Transfers BetWeen The CPU and GPU, and Utilising Profiling Techniques to Analyse and Optimise The Performance of CUDA COD EThen, then
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Retrieval Augmented Generation (RAG), Devned by Facebook AI Research in 2020, Offers A Method to Enhance A LLM OUTPUT by Incorpoating Real-Time, Domain-Super C Data, Eliminating the Need for Model Retrawing. Rag Integrates An An Information Retrieval With a ResponseGenerator, Forming An End-to-TO-End Architecture.
Drawing from nvidia ’s internal practices, this introgatory aims to provide a food, infrag, Including its RETRIEVAL MeCHANISM and the Essential Components with Nvidia ’s AI Foundations Framework. by Grasping These Fundamentals, you can initiate your explm and Rag Applications Then, then
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The Nvidia Jetson Nano Developer Kit Empowers Makers, Self-TAUGHT Developers, and Embedded Technology ENTHUSIASTS Worldwide with The Capabilities of Ai.
This user-Friendly, Yet Powerful Computer Facilities The Execution of Multiple Neural Networks Simultaneously, Enabling Various Appchs Imagos Imago E classification, object detening, segmentation, and spey processes.
Throudhout the count, participants will utilise judyter iPython Notebooks on Jetson Nano to Constructure A deep Learning Project Employ Ter Vision Models.
By the end of the Court, Individuals Will Posses the Skills to Develop their Own Deep Learning Classification and Regression Modraging The Capabili Ties of the jetson nano.
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This Self-Paced Online Course Aims to Equip Learners with Skills in AI-Based Video Undesting using the nvidia Jetson Nano Developer KitHyderabad Wealth Management. Al exceeds and Application Samples in Jupyterlab Notebooks, Participants Will Intelligeent Video Analytics (IVA) Applications Leveraging The VidiaDeepStream SDK.
The Course COVERS SETTING Up the Jetson Nano, Construction End-to-End DEEPSTREAM PIPELINES for Video Analysis, Integrating Various Input and Output Sources, Conf. IGRING MULTIPLE VIDEO Streams, and Employing Alternate Inference Engines Like Yolo.
ProRequisITES Include Basic Linux Command Line Familiarity and UndersTanding Python 3 Programming Concepts. , And Requires Specific Hardware Components Like The Jetson Nano Developer KitSimla Investment. Assessment is Conducted Through Multiple-Choice Questions, and A Certificate is PR. OVIDED UPONCompleTion.
For this count, you will request, the Nvidia Jetson Nano Developer Kit or The 2GB Version, Along with Compatition Power Supply, Microsd Card Data cable, and a usb webcam.
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This course official, is avled, envically. Am, Participants Will Gain Skills to Develop Advanced Tools for Creating Physically Accurate Virtual Worlds.
Throud Self-Paced Exercises, Learners Will Delve Into Python Coding to Cracene Manipulator Tools Within Omnivers. Unching Omniverse Code, Installing/Enabling Extensions, Navigating the USD Stage Hierarchy, and Creating Widget Manipulators for Scale Control.
The Course Also Covers Fixing Broken Manipulators and Building Specialist Scale Manipulators. The Python Extension. Minimum Hardware Requirements Comprise A desktop or Laptop Computer Equipped with An Intel i7 Gen 5 or AMD Ryzen Processor, AlongWith an nvidia RTX Enabled GPU with 16GB of Memory.
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In this self-paced count, participants will delve into the creation of sched Human-Readable Universal SCRIPTION ASCII (USDA) Files.
The Programme is divided Into Two Section: USD Fundamentals, Introping Openusd Without Programming, and Advanced USD, USING PYTHON to Generate USD FI les.
Participants Will Learn Openusd Scene Structures and Gain Hands-On Experience with Openusd Composition Arcs, Including Overriding Asset Properties with Sublayers, Combining Assets with References, and Creating Diverse Asset States using variants.
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This countable offers a public tutorial on Assembling A Basic Two-WHEEL Mobile Robot user Form. The Tutorial Spans Around 30 Minutes and COVERS Key SUCH As Connecting A Local Streaming Client to AnOmniverse isaac Sim Server, Loading A USD Mock Robot Into the Simulation Environment, and Configuering Joint Drives and Properties for the Robot's Movement.
Additively, participants will learn to add Articulations to the Robot. By the end of the count, attendeees will gain familiaarity with the isaac Sim E and Documentation NECESSARY to Intiate their Own Robot Simulation Projects.
The processites for this count include a Windows or Linux Computer Capables Idth for client/server streaming. The count is free of charge, with a duration of 30 minutes, focusing on omniverse technology.Udabur Investment
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This course introduces the basics of the omniverse development platform. One will learn how to get CTIONALITY Needed to Support Industrial Use Cases and Workflows for Aggregating and Reviewing Large Facilities Such As Factories, Warehouses, and More.
The Learning Objectives Include Building An Application from a Kit Template, Customization The Application Via Settings, Creating and Modifying Extensions, and ING Extension Functionality with New Features.
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Created in Collability with the United National Satellite Center, The Course Focuses on Disaster Risk Monitoring ImageERY, Teaching Participants TO E and Implement Deep Learning Models for Automated Flood Detection. The Skills Gaind Aim to Reduce Costs, Enhance Effility, and Improve the Effectivenessssof disaster management effects.
Participants Will Learn to Execute A Machine Learning Workflow, Process Large Satellite ImageEry Data Using Hardware-ACCELERATD Tools, and Apply Transfer-Learning for B Uilding Cost-Effective Deep Learning Models.
The Course Also Covers Deployment Models for Near Real-Time Analysis and Utilising Deep Learning-Based Inference Event Detection and Response. isITES Include Profoice in Python 3, a Basic UndersTnding of Machine Learning and Deep Learning Concepts, and An Internet In Satellite ImageryManipulation.
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In this course, you will leachn about ai use cases, Machine Learning, and deep Learning Workflows, as well as the archetenity of gpus. With a beginnerLucknow Stock. -Friendly Approach, The Course Also Coveers Deployment Considerations for Ai Workloads in Data Center,Including inclactructure planning and multi-system clusters.
The count is tailored for it propesionals, system and network administrators, devops, and data center professionals.
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In this course, PARTICIPANTS Will Explore the Foundational Concepts of UNIVERSAL SCENE Description (OpenUSD), An Open Framework for DETAILED 3D ENVIRONMENT CREATI on and color.
Participants Will Learn to use USD for Non-Destructive PROCESSSES, EFFICient Scenembly with Layers, and Data sections for Optimised 3D Workflows Across v Arious Industries.
Also, The Session Will Cover Layering and Composition Essentials, Model Hierarchy Principles for Efficient Scene Structure, and Scene Graph Instancing For Improved S CENE PERFRMANCE and Organisation.
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High-Fidelity Simulations in Science and Engineering Are Hindered by Computational Expense and Time Constraints, LIMITING theIR ITERATIVE USIGN and Optimisat Ion.
NVIDIA MODULUS, A Physics Machine Learning Platform, Tackles These Challenges by Creating DEEP Learning Modes that Outperform Methods by UP TO 100,000 T iMes, Providing Fast and Accurate Simulation Results.
One Willn How Modulus Integrates with The Omniveers Platform and How To USE ITS API for Data-Driven and Physics-Driven PROBLEMS Deep Learning to Multi-PHYSICS SIMULATIONS.
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The doca software framework, in partnership with bluefield dpus, Enables rapid application development, transforming networking, security, and storage performanc e.
This self-paced Course COVERS DOCA Fundamentals for Accelerated Data Center Computing On DPUS, Including VisualISING The Framework Paradigm, Studying Bluefield U Specs, Exploring Sample Applications, and Identifying Opportunities for DPU-ACCEERETED Computation.
ONE GAINS INTRODUCTORY KNowledge to Kickstart Application Development for Enhanced Data Center Services.
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