Beijing - Parkview Green

QiaoFu FangCaoDi , No. 9 Dongdaqiao Road, Chaoyang District, Beijing, China
Located on the west side of Dongdaqiao Road, Chaoyang District, Beijing, close to the core area of ​​Beijing CBD, with a ...

Beijing - Creative building

6/F, 15# Wanquanzhuang Str. Haidian district 6/F, Beijing, China, 100000
Creative building is located the centre of Haidian distrect. There is a direct bus to Zhong guancun and Yuanmingyuan Park. ...

New Oriental Plaza

Haidian Zhong Jie No.6, Beijing, China, 100080
New Oriental Plaza locates in the core of Zhong Guan Cun area in Beijing. The place is stationed many major educational organ...

Beijing - Chaoyang Guomao III

15/F, 15/F China World Trade Center Tower 3, 1 Jianguomenwai Avenue, Beijing, China, 100004
The Beijing China World Trade Centre (CWTC) is in one of the most prestigious buildings in Beijing, in the middle of the cent...

Beijing Pacific Century Place

gong ren ti yu chang Bei street 2#, Beijing, China, 100027
Pacific Century Center is located in the central business district of prime locations, is favored by the major business of th...

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3D Graphics
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Animation
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GPU

Explore Our Courses

GPU Programming with OpenACC

 28 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use OpenACC to program heterogeneous devices and exploit their parallelism.By the end of this training, participants will be able to:
  • Set up an OpenACC development environment.
  • Write and run a basic OpenACC program.
  • Annotate code with OpenACC directives and clauses.
  • Use OpenACC API and libraries.
  • Profile, debug, and optimize OpenACC programs.
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Introduction to GPU Programming

 21 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to learn the basics of GPU programming and the main frameworks and tools for developing GPU applications.
  • By the end of this training, participants will be able to:
    Understand the difference between CPU and GPU computing and the benefits and challenges of GPU programming.
  • Choose the right framework and tool for their GPU application.
  • Create a basic GPU program that performs vector addition using one or more of the frameworks and tools.
  • Use the respective APIs, languages, and libraries to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronize threads.
  • Use the respective memory spaces, such as global, local, constant, and private, to optimize data transfers and memory accesses.
  • Use the respective execution models, such as work-items, work-groups, threads, blocks, and grids, to control the parallelism.
  • Debug and test GPU programs using tools such as CodeXL, CUDA-GDB, CUDA-MEMCHECK, and NVIDIA Nsight.
  • Optimize GPU programs using techniques such as coalescing, caching, prefetching, and profiling.
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GPU Programming - OpenCL vs CUDA vs ROCm

 28 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use different frameworks for GPU programming and compare their features, performance, and compatibility.By the end of this training, participants will be able to:
  • Set up a development environment that includes OpenCL SDK, CUDA Toolkit, ROCm Platform, a device that supports OpenCL, CUDA, or ROCm, and Visual Studio Code.
  • Create a basic GPU program that performs vector addition using OpenCL, CUDA, and ROCm, and compare the syntax, structure, and execution of each framework.
  • Use the respective APIs to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronize threads.
  • Use the respective languages to write kernels that execute on the device and manipulate data.
  • Use the respective built-in functions, variables, and libraries to perform common tasks and operations.
  • Use the respective memory spaces, such as global, local, constant, and private, to optimize data transfers and memory accesses.
  • Use the respective execution models to control the threads, blocks, and grids that define the parallelism.
  • Debug and test GPU programs using tools such as CodeXL, CUDA-GDB, CUDA-MEMCHECK, and NVIDIA Nsight.
  • Optimize GPU programs using techniques such as coalescing, caching, prefetching, and profiling.
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ROCm for Windows

 21 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to install and use ROCm on Windows to program AMD GPUs and exploit their parallelism.By the end of this training, participants will be able to:
  • Set up a development environment that includes ROCm Platform, a AMD GPU, and Visual Studio Code on Windows.
  • Create a basic ROCm program that performs vector addition on the GPU and retrieves the results from the GPU memory.
  • Use ROCm API to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronize threads.
  • Use HIP language to write kernels that execute on the GPU and manipulate data.
  • Use HIP built-in functions, variables, and libraries to perform common tasks and operations.
  • Use ROCm and HIP memory spaces, such as global, shared, constant, and local, to optimize data transfers and memory accesses.
  • Use ROCm and HIP execution models to control the threads, blocks, and grids that define the parallelism.
  • Debug and test ROCm and HIP programs using tools such as ROCm Debugger and ROCm Profiler.
  • Optimize ROCm and HIP programs using techniques such as coalescing, caching, prefetching, and profiling.
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AMD GPU Programming

 28 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use ROCm and HIP to program AMD GPUs and exploit their parallelism.By the end of this training, participants will be able to:
  • Set up a development environment that includes ROCm Platform, a AMD GPU, and Visual Studio Code.
  • Create a basic ROCm program that performs vector addition on the GPU and retrieves the results from the GPU memory.
  • Use ROCm API to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronize threads.
  • Use HIP language to write kernels that execute on the GPU and manipulate data.
  • Use HIP built-in functions, variables, and libraries to perform common tasks and operations.
  • Use ROCm and HIP memory spaces, such as global, shared, constant, and local, to optimize data transfers and memory accesses.
  • Use ROCm and HIP execution models to control the threads, blocks, and grids that define the parallelism.
  • Debug and test ROCm and HIP programs using tools such as ROCm Debugger and ROCm Profiler.
  • Optimize ROCm and HIP programs using techniques such as coalescing, caching, prefetching, and profiling.
Read more...

GPU Programming with CUDA

 28 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use CUDA to program NVIDIA GPUs and exploit their parallelism.By the end of this training, participants will be able to:
  • Set up a development environment that includes CUDA Toolkit, a NVIDIA GPU, and Visual Studio Code.
  • Create a basic CUDA program that performs vector addition on the GPU and retrieves the results from the GPU memory.
  • Use CUDA API to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronize threads.
  • Use CUDA C/C++ language to write kernels that execute on the GPU and manipulate data.
  • Use CUDA built-in functions, variables, and libraries to perform common tasks and operations.
  • Use CUDA memory spaces, such as global, shared, constant, and local, to optimize data transfers and memory accesses.
  • Use CUDA execution model to control the threads, blocks, and grids that define the parallelism.
  • Debug and test CUDA programs using tools such as CUDA-GDB, CUDA-MEMCHECK, and NVIDIA Nsight.
  • Optimize CUDA programs using techniques such as coalescing, caching, prefetching, and profiling.
Read more...

OpenSCAD: Introduction to 3D Modeling

 21 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at designers, mechanical engineers, and anyone who wishes to learn how to create 3D models that can be constructed or 3D printed. By the end of this training, participants will be able to:
  • Create printable 3D models.
  • Use geometric transformations to build complex 3D shapes.
  • Model in a non-interactive manner using minimal lines of code.
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GPU Programming with OpenCL

 28 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use OpenCL to program heterogeneous devices and exploit their parallelism.By the end of this training, participants will be able to:
  • Set up a development environment that includes OpenCL SDK, a device that supports OpenCL, and Visual Studio Code.
  • Create a basic OpenCL program that performs vector addition on the device and retrieves the results from the device memory.
  • Use OpenCL API to query device information, create contexts, command queues, buffers, kernels, and events.
  • Use OpenCL C language to write kernels that execute on the device and manipulate data.
  • Use OpenCL built-in functions, extensions, and libraries to perform common tasks and operations.
  • Use OpenCL host and device memory models to optimize data transfers and memory accesses.
  • Use OpenCL execution model to control the work-items, work-groups, and ND-ranges.
  • Debug and test OpenCL programs using tools such as CodeXL, Intel VTune, and NVIDIA Nsight.
  • Optimize OpenCL programs using techniques such as vectorization, loop unrolling, local memory, and profiling.
Read more...

Administration of CUDA

 35 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level system administrators and IT professionals who wish to install, configure, manage, and troubleshoot CUDA environments.By the end of this training, participants will be able to:
  • Understand the architecture, components, and capabilities of CUDA.
  • Install and configure CUDA environments.
  • Manage and optimize CUDA resources.
  • Debug and troubleshoot common CUDA issues.
Read more...

Techniki graficzne (Adobe Photoshop, Adobe Illustrator)

 28 Hours
Adobe graphics programs are a set of tools for creating, editing and manipulating graphics, multimedia and documents. Adobe Systems is known for creating many professional programs dedicated to graphics, multimedia, photo editing, website design and more. Here are some of the main graphics programs created by Adobe: Adobe Photoshop This is one of the most popular raster graphics editing programs. It allows you to manipulate photos, create graphics, retouch, color correction and many other advanced operations. Adobe Illustrator Focused on vector graphics, Illustrator lets you create logos, illustrations, vector graphics, typographic designs, and more that can be scaled without losing quality.
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Inkscape

 14 Hours
This course demonstrates through hands-on practice the fundamentals and applications of Inkscape.
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Raster and Vector Graphics (Adobe Photoshop, CorelDraw)

 28 Hours
What you will learn during the training:
  • principles of creating computer graphics and desktop publishing
  • ways of defining and working with color
  • differences between vector and bitmap graphics
  • ways to customize color photos and graphics
  • principles of retouching and creating photomontages
  • create your own illustrations and graphics
  • entrusted to adapt to the needs of graphic material composition and printing
  • how to do logo and logos
  • create interesting charts and tables
  • create business cards and letterhead
  • creating labels, diplomas, invitations
  • preparation of leaflets
  • how to format text
  • use of spot colors
  • principles of preparing to print
  • digital printing, offset printing, screen printing
Sample topics of classes:
  • my poster
  • portrait
  • expanse
  • my catalog
  • my face
  • billboard
  • my logo
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Adobe Illustrator

 14 Hours
The participant will learn during the training:
  • use a vector graphics program.
  • create simple objects
  • creating advanced curves
  • create a logo
  • tracing elements created on paper or photograph
  • receipt of leaflets
  • advertising posters
  • open and modify documents and PDF vector, EPS
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Adobe LiveCycle Designer

 14 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level to intermediate-level developers and UI/UX designers who wish to use Adobe LiveCycle Designer to create interactive and dynamic PDF forms. By the end of this training, participants will be able to:
  • Create and edit PDF forms with various elements and properties.
  • Add scripts and logic to PDF forms using JavaScript.
  • Validate and secure PDF forms.
  • Integrate PDF forms with data sources and web services.
  • Deploy and distribute PDF forms.
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Affinity Designer

 14 Hours
For those who want to start with new software as well as who already know other software for vector graphics and want to quickly start working with new software.
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CorelDraw Rozszerzony

 21 Hours
During the 3-day training, participants will learn a bit of history of theory and guidelines converted into example projects: "Scribing" from a drawing on paper to a vector image that can be used for printing, cutting, engraving, etc. "Pierre Bézier curves" rules for creating basic curves and complex curves as well as editing and repairing. "Typography" creating your own font from drawing to obtaining an open type font (OTF) file.
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Blender: 3D Modeling Fundamentals

 35 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at artists, game developers, or complete beginners who wish to use Blender to create 3D models for interactive applications, video games, animated films, etc.By the end of this training, participants will be able to:
  • Understand the principles and core concepts of 3D modeling.
  • Explore a variety of modes and tools for modeling and editing 3D meshes.
  • Learn how to create animations and visual effects with Blender.
  • Add curves, surfaces, metaballs, and hair particles to simulate realistic 3D motions.
  • Use the tools for UV mapping/unwrapping, sculpting, and painting 3D models.
  • Export 3D models and assets to a game engine, 3D printer, or other software. 
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FreeCad: Getting Started with Parametric Modeling

 21 Hours
FreeCAD is an open-source, customizable, multi-platform, scriptable and extensible parametric 3D modeler for designing real-life objects. In this instructor-led, live training, participants will learn how to model an object for later construction or 3D printing. By the end of this training, participants will be able to:
  • Use FreeCad's tools and workflows to replace commercial CAD or BIM modeling software
  • Write to many formats such as STEP, IGES, STL, SVG, DXF, OBJ, IFC, DAE, etc.
  • Use Python to extend FreeCAD's functionality
  • Automate FreeCad, build modules and embed FreeCAD into an existing application
Audience
  • Designers
  • Developers
  • Mechanical engineers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Create an Augmented Reality (AR) Mobile Application with ARToolKit

 7 Hours
ARToolKit is an open-source tracking library for creating Augmented Reality (AR) applications. It supports Windows, Linux, Mac, Android and iOS. In this instructor-led, live training, participants will learn how to build an augmented reality mobile application with ARToolKit. By the end of this training, participants will be able to:
  • Develop a mobile application that overlays virtual imagery onto the real world
  • Preprocess video to adjust lighting and resolve issues
  • Integrate ARToolKit with third-party tools and functionality, including OpenCV, Unity, OpenSceneGraph and the mobile device's GPS, compass, and camera calibration utilities
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • The mobile application developed in this course can be target Android and/or iOS. To request your preference, please contact us to arrange.
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Pixar USD (Universal Scene Description) Fundamentals

 7 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at design engineers, architects, and developers who wish to use Pixar USD to create, build, and share common 3D scenes or assets while working simultaneously from different graphics tools. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building 3D graphics and workflows.
  • Understand the basic USD composition and apply modifications to enhance 3D assets and scenes.     
  • Share, combine, and transform multiple assets using the supported USD plugins for 3rd party applications (Maya, Katana, and Houdini).
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NVIDIA GPU Programming

 14 Hours
This course covers how to program GPUs for parallel computing. Some of the applications include deep learning, analytics, and engineering applications.
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NVIDIA GPU Programming - Extended

 21 Hours
This instructor-led, live training course in Beijing covers how to program GPUs for parallel computing, how to use various platforms, how to work with the CUDA platform and its features, and how to perform various optimization techniques using CUDA. Some of the applications include deep learning, analytics, image processing and engineering applications.
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Hardware-Accelerated Video Analytics

 14 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at developers who wish to build hardware-accelerated object detection and tracking models to analyze streaming video data. By the end of this training, participants will be able to:
  • Install and configure the necessary development environment, software and libraries to begin developing.
  • Build, train, and deploy deep learning models to analyze live video feeds.
  • Identify, track, segment and predict different objects within video frames.
  • Optimize object detection and tracking models.
  • Deploy an intelligent video analytics (IVA) application.
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WebGL: Create an Animated 3D Application

 21 Hours
WebGL (Web Graphics Library) is a JavaScript API for rendering 3D graphics within a web browser without the use of plug-ins. In this instructor-led, live training, participants will learn how to generate realistic computer images using 3D graphics as they step through the creation of an animated 3D application that runs in a browser. By the end of this training, participants will be able to:
  • Understand and use WebGL's various functionality, including meshes, transforms, cameras, materials, lighting, and animation
  • Animate objects with WebGL
  • Create 3D objects using WebGL
Audience
  • Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Learning Maya

 14 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at web designers who wish to use Maya for creating 3D animations. By the end of this training, participants will be able to:
  • Create realistic models and textures in Maya.
  • Animate and render projects for high quality playback.
  • Simulate natural effects like water and smoke.
Read more...

GPU Programming with CUDA and Python

 14 Hours
This instructor-led, live training in Beijing (online or onsite) is aimed at developers who wish to use CUDA to build Python applications that run in parallel on NVIDIA GPUs. By the end of this training, participants will be able to:
  • Use the Numba compiler to accelerate Python applications running on NVIDIA GPUs.
  • Create, compile and launch custom CUDA kernels.
  • Manage GPU memory.
  • Convert a CPU based application into a GPU-accelerated application.
Read more...

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Testimonials (3)

Everything was done at a perfectly adjusted pace in an understandable and accessible way, enabling effective learning and expanding one's competences. The trainer is a qualified person who can explain many issues in order to improve the projects completed during the course. Using simple examples, it shows and analyzes important aspects that are needed to create more advanced models. I consider the training to be very successful.

Klaudia - CB POLAND sp. z o.o.
Course - Blender: 3D Modeling Fundamentals

Machine Translated

Very interactive with various examples, with a good progression in complexity between the start and the end of the training.

Jenny - Andheo
Course - GPU Programming with CUDA and Python

The trainer really targeted our need to a very specific case study and was able to adapt to the situation (as the solutions to our problematic evolved during the course), beyond the upstream preparation he did.

Anne-Sophie Schwindenhammer
Course - Inkscape

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