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      About Featured

      NVIDIA OpenUSD Development

      Prove you can build and debug 3D pipelines in OpenUSD. Composition, data modeling, exchange, pipelines and rendering.

      4.9 out of 5 for LUNARTECH, from 100+ reviews10,000+ students

      Partners and press
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      Anthropic logo featuring a clean, modern font, symbolizing responsible AI development and innovation supported by LUNARTECH.NVIDIA logo representing industry-leading graphics processing, AI innovation, and cutting-edge computing technologies, integrated by LUNARTECH.Microsoft Azure logo with a sleek, minimalist design, symbolizing powerful cloud computing and AI capabilities integrated by LUNARTECH.White Google logo featuring an abstract swirl design. -| LUNARTECHOpenAI logo with a hexagonal geometric design next to the text 'OpenAI' in a clean sans-serif font. - LUNARTECH
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      Overview

      Anyone can open a USD file. This exam tests who can untangle one.

      NCP-OUSD is a Professional exam for OpenUSD pipeline developers, suited to two to three years with OpenUSD and Python or C++. Composition is the largest domain at 23%: writing, using and debugging the arcs that combine layers, including hard LIVERPS cases. The rest covers data modeling, data exchange, pipelines, scene aggregation with instancing, visualization and debugging stages.

      13Modules
      60–70Questions
      120Minutes
      8Roles
      What it tests

      Learn all the way down.
      Perform when it matters.

      Compose a scene

      Write and debug composition arcs, know when each one applies, and reason through LIVERPS conflicts.

      Model the data

      Work with prims, attributes, relationships, primvars, value types and time samples in the Usd and Sdf layers.

      Move data between tools

      Write importers, exporters and mapping documents that carry data in and out of OpenUSD.

      Debug and ship a pipeline

      Inspect stages, fix badly authored data, cut load and render times, and flatten assets for delivery.

      Course outline

      From a single layer
      to a pipeline that ships scenes.

      13 modules81 lessonsSelf-paced

      We design this course ourselves. NVIDIA runs the exam and issues the credential, and LUNARTECH is independent of NVIDIA.

      Before composing anything, you need the model underneath it. You work with the Usd and Sdf layers, learn what a prim, attribute and relationship hold, and see how types, metadata and time samples are authored and read.

      • Stages, layers and the Usd and Sdf APIs
      • Prims, attributes and relationships
      • Value types, metadata and fallbacks
      • Time samples and default values
      • Typed schemas and API schemas
      • Reading and writing usda and usdc files

      You build A Python script that authors a small layer and reads it back through a stage.

      Composition is how USD builds one scene from many files. You stack layers, bring in other assets with references and payloads, and learn how opinions combine into the value you finally see.

      • The layer stack and sublayer order
      • References and what they bring in
      • Payloads and deferred loading
      • Opinions and how values resolve
      • Path translation and namespace editing
      • Authoring with edit targets

      You build A scene assembled from sublayers, references and a payload, with the opinion order documented.

      Strength ordering decides which opinion wins. You learn LIVERPS, use inherits and specializes, work through cases where arcs interact in surprising ways, and predict a result before you run the code.

      • LIVERPS and the strength ordering
      • Inherits and class prims
      • Specializes and how it differs
      • Arcs inside references and payloads
      • Hard cases: arcs through several levels
      • Predicting and checking resolved values

      You build A set of composition puzzles, each with a prediction checked against the stage.

      Variants and overrides let many artists change one scene without touching its source. You author variant sets and selections, set fallbacks, and layer overrides so that any change can be traced and removed.

      • Variant sets and variant selections
      • Nested variants and variant fallbacks
      • Authoring overrides in a separate layer
      • Active state, visibility and purpose
      • Layer-based workflows for departments
      • Removing and reverting edits cleanly

      You build An asset with variants and a department override layer that changes it without editing the source.

      When a scene looks wrong, the cause is usually one opinion in one layer. You use stage inspection tools and composition queries to trace values to their source, and find badly authored data before it spreads.

      • usdview and its inspectors
      • usdcat, usdtree and usddiff
      • Prim composition queries in Python
      • Tracing an attribute to the layer that set it
      • Validating with usdchecker
      • Common authoring mistakes and their symptoms

      You build A debugging guide with five broken scenes and the trace that explains each.

      Reusable assets need structure. You build components and assemblies with proper model kinds, organize asset layers, and keep packaging consistent so that teams can swap parts and trust what they get.

      • Model kinds: component, assembly and group
      • Building a component asset
      • Assembling larger scenes from components
      • Asset interfaces and naming conventions
      • Payloads and model hierarchy for performance
      • Validating an asset against a contract

      You build A modular component library and an assembly built from it.

      Large scenes depend on sharing. You use native instancing and point instancers to reduce memory, decide where each applies, and override properties on instanced models without losing the sharing.

      • Native instancing and prototypes
      • Point instancers and their data
      • Choosing between the two
      • Overriding instanced models
      • Instance proxies and editing rules
      • Measuring memory savings

      You build An instanced scene with overrides and a memory comparison against the uninstanced version.

      Most scenes are meshes, cameras, materials and lights. You author them through their schemas, assign materials by binding, set primvars and units, and check the results in a viewer.

      • Xforms, meshes and curves in UsdGeom
      • Cameras and units
      • Primvars and interpolation
      • Materials and bindings in UsdShade
      • Preview surface shading networks
      • Lights in UsdLux
      • Purposes and visibility

      You build A small lit scene with a bound material network and a camera, authored in code.

      Sometimes the built-in schemas are not enough. You define custom schemas and generate their code, write file format plugins, and set model kinds and variant fallbacks that match how your studio works.

      • When to extend and when not to
      • Writing a schema definition
      • Generating schema code with usdGenSchema
      • Registering plugins with plugInfo files
      • Writing a file format plugin
      • Setting global variant fallbacks
      • Versioning custom schemas

      You build A custom API schema, built and registered, used in a working scene.

      Data exchange decides how well USD fits a pipeline. You plan mapping documents for another tool’s data, write importers and exporters, preserve units, axes and naming, and check what survives a round trip.

      • Mapping documents: planning the translation
      • Writing an exporter to USD
      • Writing an importer from USD
      • Units, up-axis and coordinate systems
      • Preserving names, hierarchy and metadata
      • Testing round trips
      • Handling data that does not map

      You build A mapping document and a working exporter for a simple scene format.

      A pipeline is more than scripts. You design asset structure and versioning, add exporter hooks, build and package tools reliably, and flatten assets for delivery to systems that cannot compose layers.

      • Asset structure and naming
      • Asset resolvers and versioned paths
      • Exporter hooks and publishing steps
      • Build and packaging for USD tools
      • Flattening layers and exporting stages
      • Packaging assets as USDZ
      • Migrating existing assets safely

      You build A publishing pipeline that versions an asset, runs checks and flattens it for delivery.

      Slow stages cost every artist time. You measure stage open time and render cost, find the layers, prims and settings that cause them, and apply payloads, instancing and cleanup to bring both down.

      • Measuring stage open and population time
      • Profiling with trace tools
      • Payloads and load rules for large scenes
      • Heavy prims and badly authored data
      • Render time and scene complexity
      • Verifying that a fix helped

      You build A performance report that cuts the load time of a heavy scene, with before and after numbers.

      Build a miniature production pipeline. You author modular assets, assemble a scene with variants and instancing, extend it with a custom schema, move data in from another tool, and debug and optimize the result.

      • Designing the asset and scene structure
      • Authoring assets and variants
      • Assembling and instancing a scene
      • Importing data and extending the schema
      • Debugging, optimizing and delivering

      You build A working mini pipeline: modular assets, an assembled scene, a custom schema and a delivery step.

      Issued by
      NVIDIA

      Certifying body · Independent of LUNARTECH

      NVIDIA

      NVIDIA designs the GPUs and much of the software that AI runs on. It runs this certification program itself: the exams are online and proctored remotely, and passing earns a digital badge. LUNARTECH is independent of NVIDIA.

      How you get there

      Top-tier roles go to people who can do the work.
      Here’s how you get there.

      Know where you start.

      NVIDIA recommends about two to three years working with OpenUSD and Python or C++, or finishing its study guide materials.

      Work through the course.

      Thirteen modules, designed by LUNARTECH, at your own pace.

      Sit it with NVIDIA.

      NVIDIA runs the exam and issues the credential, so you register and book directly with them.

      Support

      Support at every stage.
      You won’t be working through this alone.

      Before you start

      Try it first.

      A 3-day free trial opens a selection of the content. Your card is only charged once it ends.

      While you learn

      Mentors within reach.

      Stuck on a concept? Reach out to a mentor whenever you need help.

      While you learn

      One-on-one sessions.

      On the yearly plan, one-on-one sessions give you dedicated support.

      Any time

      A team behind you.

      Write to info@lunartech.ai at any point, from your trial onwards. If your employer is funding you, we’ll set it up with them directly.

      All the way through

      A schedule that fits around your life.

      Your own paceFrom anywhereAt any hour

      After the last lesson

      Stay in the network.

      Your alumni network stays with you: ongoing support, opportunities and industry insight.

      Career support

      Career support, past the last lesson. Coaching, a sharper resume, real interview preparation and the people to know.

      Career direction

      Tailored coaching helps you decide where to aim and how to get there.

      Course · 1 hourLaunching Your Data Science Career

      Strong portfolio

      Hands-on projects become work you can show, not just claim.

      Course · 60 hoursBuild Your Data Science Portfolio

      Resume and profile

      Personalized refinement, so what you send says what you can actually do.

      Course · 10 hoursPersonal Branding for Professionals

      Interview preparation

      Preparation for the questions that decide it, so you walk in ready.

      Course · 12 hoursMaster Deep Learning Interviews: 50 Q&A

      Network and search

      Connections with industry leaders, and an alumni network that stays with you.

      Course · 40 hoursData Science Career Playbook
      Reviews

      Real stories from the community.

      4.9out of 5, from 100+ reviews
      LUNARTECH Academy has been the most empowering learning experience of my life, giving me a clear, structured path from the absolute basics to building real-world AI systems with confidence.
      Farnia GhanizadehSerajAI Engineer
      Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation.
      Mahmoud A.Data Scientist
      The programme’s clear, bite-sized content and practical projects dramatically improved my speed from fuzzy idea to MVP and my ability to communicate AI value. I followed the system, and it works.
      Rod MorrissonHead of Data Science & AI
      I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
      Narine P.Data Analyst
      After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
      Raphael J., PhDQuantitative Analyst
      As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
      Stanley M.AI Engineer
      I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
      Sai Eshwar G.Data Scientist
      Why choose us

      Built around how you actually learn.

      One standard behind every course, from the first lesson to long after the last.

      Hands-on practice

      Apply every idea to real problems, so it becomes something you have used, not only seen.

      Industry-aligned curriculum

      We keep courses current with the tools, techniques and skills the field asks for.

      Flexible learning

      Study at your own pace, from anywhere, at any hour.

      Certificate of completion

      Finish the course and earn a certificate that shows what you have learned.

      Focus on your success

      Personalized learning plans and support structures carry you through the hard parts.

      Lifetime alumni network

      Stay connected after you finish, with ongoing support, opportunities and industry insight.

      Your certificate

      It doesn’t raise its voice. Neither will you.

      Finish a LUNARTECH course and its certificate is issued in your name, under our signature. NVIDIA’s credential comes from NVIDIA, when you pass its exam.

      A sample, for a course in the Academy. Only yours carries your name.
      Pricing

      This course comes with the membership.
      So does everything else.

      One membership opens every course, certification, workshop and masterclass in the Academy. Every plan starts with a 3-day free trial. You register and book the exam directly with NVIDIA.

      3 days free, then $29.97 a month. Your card is only charged once the trial ends.

      Included in every plan

      • Every course in the Academy
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      • A certificate of completion
      • A 3-day free trial
      • Learning at your own pace
      • The lifetime alumni network
      • Upgrades at any time
      In practice

      Eight roles.
      One credential across them all.

      No single job owns it. Here’s where each role leans hardest, and where its work ends up.

      1. 01Composition
      2. 02Aggregation
      3. 03Customizing
      4. 04Data exchange
      5. 05Data modeling
      6. 06Debugging
      7. 07Pipelines
      8. 08Visualization
      • Every studio tool has to speak the same scene. Exporters and hooks make that happen.

        Pipelines, Data exchange, Composition

        Visual effects and animation, Game development

      • Heavy scenes need instancing to stay usable. Materials and lights make them readable.

        Aggregation, Visualization, Data modeling

        Visual effects and animation, Game development, Industrial design

      • A digital twin is only as good as its data. Exchange and modeling keep it trustworthy.

        Data exchange, Data modeling, Debugging

        Robotics simulation, Digital twins

      • Custom schemas extend USD to your domain. Debugging composition saves days of guesswork.

        Customizing, Debugging, Composition

        Digital twins, Architecture and engineering

      • Simulated worlds need clean, composable scene data. Layers let teams change one part without breaking the rest.

        Aggregation, Data modeling

        Robotics simulation, Digital twins

      • Shots pass through many tools and many hands. A sound pipeline keeps their work from colliding.

        Composition, Pipelines

        Visual effects and animation, Game development

      • A twin has to stay in sync with the factory it mirrors. Aggregation and instancing keep large scenes workable.

        Aggregation, Visualization, Customizing

        Digital twins, Industrial design

      • Design files from different tools need one shared scene. Clear data models make that exchange predictable.

        Data exchange, Data modeling

        Industrial design, Architecture and engineering

      • Visual effects and animation
      • Robotics simulation
      • Digital twins
      • Game development
      • Industrial design
      • Architecture and engineering
      Pipeline Developer

      Every studio tool has to speak the same scene. Exporters and hooks make that happen.

      Over 10,000 students trust LUNARTECH

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      to learn, build, create and lead.

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      Understand the papers. Build on them, and take the work further.

      The field

      Anyone can use AI.
      Few can engineer it. This is where that starts.

      +340%growth in open roles requiring AI skills

      Data source: Stanford AI Index 2026 & 2024 (Lightcast data), Indeed Hiring Lab, Hacker News “Who’s Hiring”. Aug–Nov 2026 (dashed) is an estimate from the trend.
      Roles and pay

      ~35,000 open roles right now

      Open roles: Built In, Greenhouse, LinkedIn.
      Typical salaries: Glassdoor, Levels.fyi, Payscale, Indeed, Ravio, JobRise, U.S. BLS. Military: 2026 U.S. basic pay, drone officers with aviation incentive pay.
      Updated November 2026.

      FAQ

      Frequently asked questions.

      Need help? These answers cover most of what people ask before they start.

      No. NVIDIA issues it. LUNARTECH is independent of NVIDIA, and its names and marks belong to it. When you finish a course of ours, you earn a LUNARTECH certificate of completion for that course.

      No. We design this course ourselves, around what the exam covers. NVIDIA has no part in it, and you still register and book the exam directly with NVIDIA.

      60–70 questions, 120 minutes, online, proctored, in English.

      NVIDIA recommends about two to three years working with OpenUSD and Python or C++, or finishing its study guide materials.

      2 years. Retake the exam.

      We last reviewed it on 5 November 2026, from NVIDIA’s own pages. Details change, so check the official page before you book.

      Our 3-day free trial gives you access to a selection of content in the bootcamps, courses and materials, so you can experience the value of our content first-hand. This includes comprehensive learning materials and interactive sessions. You won’t be charged during this period, though we require your credit card details at the start to ensure a seamless transition should you choose to continue.

      Yes, entering your credit card details is a necessary step to begin your free trial. The process is entirely secure, and we ask for it to provide a seamless transition to a paid subscription if you decide to continue beyond the trial. You will only be charged after the trial period ends, with full access to our content based on the plan you choose.

      After your 3-day free trial you gain access to the full breadth of our content, depending on the subscription plan you choose. We offer free trials for our monthly, bi-annual and annual plans, and each plan provides a different scope of access and benefits.

      If your employer has agreed to fund your learning, in part or in full, please contact us at info@lunartech.ai. We’ll work with you and your employer to set up everything needed for your subscription.

      Yes. Our support remains strong both during your free trial and after you subscribe. Reach the team at info@lunartech.ai with any question, whether you’re onboarding, navigating your trial, or need help as a member. Subscribers to the yearly plan also receive dedicated support in one-on-one sessions.

      You can upgrade your plan at any time during your subscription. Downgrading is not available for bi-annual or annual plans, but you can cancel and then choose a new plan that suits you better. For bi-annual and annual plans we also offer payment in instalments; please reach out to learn more.

      The course

      Build the skills behind NCP-OUSD.

      Prove you can build and debug 3D pipelines in OpenUSD. Start with a free trial, or enroll in a plan and work through the course at your own pace. NVIDIA runs the exam and issues the credential.

      13 modulesSelf-pacedIssued by NVIDIAReviewed 5 November 2026

      LUNARTECH is independent of the vendors and certifying bodies listed here. Their names, exam titles and marks belong to them, exams are run by them, and credentials are issued by them. Reviewed 5 November 2026. Catalogues change often, so confirm the details on the official page before you book.