Get in Touch

Amsterdam

The Office Operators - UP Office Building, Piet Heinkade 55, Amsterdam, Netherlands, 1019 GM

The UP office building is located in central Amsterdam on the south bank of the IJ near the city’s main railway station. UP was built in 2002 and has been recently converted into a multi-tenant office building with shared facilities such as a new lobby with coffee bar, a restaurant on the 17th floor and meeting rooms. The building is part of a complex consisting of the Passenger Terminal Amsterdam (cruise ships), the Mövenpick Hotel and concert hall Muziekgebouw aan ’t IJ. There is a two-floor car park underneath the complex with a separate entrance for the UP office building. As the tallest building in the neighbourhood, the UP complex is a river front landmark. All 21 storeys offer a spectacular view over Amsterdam and the IJ. The UP Office building is perfectly located in the city centre of Amsterdam. Public transport UP is only a 12 minutes’ walk from Amsterdam Central Station. Or take tram 26 towards IJburg and get off at the first stop Muziekgebouw Bimhuis. This stop is located in front of the entrance of the UP Office Building. By car And by car you take A10 exit S114 and after approximately 1 kilometer and you will find the UP Office Building on your right. There is a parking space under the UP Office Building in the Piet Hein garage.

Zuidas

The Office Operators - Amsterdam Zuidas - UN Studio, Parnassusweg 819, Amsterdam, Netherlands, 1082 LZ

Our training location in Amsterdam Zuidas WTC has 10 different rooms of various sizes available. Meeting location Amsterdam ZuidAs WTC is easily accessible by public transport and is within walking distance of train, bus and metro station "Amsterdam South". The WTC Amsterdam building is also easily accessible by car. The meeting & conference center is a stone's throw from the A10 ring road and the WTC Amsterdam parking garage offers ample parking spaces for you and your guests. The nearby Amsterdam WTC Station also offers direct connections to Belgium, France and Germany.

Sloterdijk

The Office Operators - Amsterdam Sloterdijk - Millennium Tower, Radarweg 29, Amsterdam, Netherlands, 1043 NX

Are you looking for a training course of the business district of Amsterdam Sloterdijk? The Millennium Tower is an excellent choice! It’s inspired on the painting ‘ Victory Boogie Woogie’ and is one of the highest buildings of Amsterdam. This explains the amazing view you will have from your training room. There is a extensive restaurant at the ground floor of the Millennium Tower. Here you can enjoy a delicious lunch with your colleagues and business partners. Not so hungry? The downstairs gym offers you the perfect opportunity to stay healthy and work on your abs during your lunch break! The business center of the Millennium Tower develops quickly and is easy accessible by car and by train for you. This office space is located next to highways A5 and A10 and train station ‘Amsterdam Sloterdijk‘ is within walking distance.

Amstelveen

Amstelveen NEST, Laan van Kronenburg 14, Amstelveen, Netherlands, 1183 AS

In the early 20th century, Amstelveen was a simple rural village where time stood still. The village was somewhat remote because it had no major rail or water connections. The main source of income was livestock farming with some arable farming, but horticulture and floriculture were already emerging at that time. In 1852 the Haarlemmermeerpolder was drained and the 'Fort aan Schiphol' was constructed as a defense work for the capital Amsterdam. Fort Schiphol, as it was later called, a military airport was founded in 1916, Schiphol, which became a civilian airport four years later. Fort Schiphol was demolished in 1934, the location is still visible in the wide area of ​​the Ringvaart under the viaduct of the A-9. Schiphol's development attracted many people, many of whom settled in Amstelveen. KLM headquarters were also located here. Amstelveen became the fastest growing municipality in the Netherlands. After the Second World War, Amstelveen absorbed part of the Amsterdam housing shortage and officially became one of the residential areas of Schiphol. In addition to housing, many offices have also been converted in recent decades; built especially for the commercial, banking and insurance industries. It has large computer centers and head offices for national and international institutions. Many people who work at Schiphol Airport live here. Nest Amstelveen is bustling! No less than 260 different companies and entrepreneurs have moved here. Nest creates places that help people and companies to successfully do business and develop. NobleProg gratefully uses this dynamic environment.

Schiphol Airport

WTC Schiphol Airport , Schiphol Boulevard 127 , Schiphol, Netherlands, 1118 BG

Trainings only 5 minutes away from the arrivals and departures hall! WTC Schiphol is the most international training place for both domestic and foreign participants. WTC Schiphol Airport is the location for major brands, internationally oriented companies and driven entrepreneurs and offers direct access to the airport. Within minutes you can walk from your training location to the Terminal of Schiphol Airport, the second hub airport in the world. Schiphol airport is easily accessible both by car and by public transport and has plenty of parking opportunities. .

Subcategories (3)

3D Graphics

3D Graphics
Animation

Animation
GPU

GPU

Explore Our Courses

Developing AI Applications with Huawei Ascend and CANN

 21 Hours

Huawei Ascend comprises a series of AI processors engineered for high-performance inference and training tasks.

This guided, live training session (available online or on-site) targets intermediate-level AI engineers and data scientists eager to create and enhance neural network models utilizing Huawei's Ascend platform alongside the CANN toolkit.

Upon completion of this course, participants will be capable of:

  • Configuring and establishing the CANN development environment.
  • Creating AI applications through MindSpore and CloudMatrix workflows.
  • Enhancing performance on Ascend NPUs via tiling techniques and custom operators.
  • Deploying models across cloud or edge infrastructure.

Course Format

  • Engaging lectures paired with interactive discussions.
  • Practical application of the CANN toolkit and Huawei Ascend within sample projects.
  • Supervised exercises emphasizing model construction, training, and deployment.

Options for Course Customization

  • To arrange a tailored training session adapted to your specific datasets or infrastructure, please reach out to us.
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Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

 14 Hours

Huawei provides a tightly integrated AI development and deployment environment, spanning from the low-level CANN SDK to the high-level MindSpore framework, all optimized for Ascend hardware.

This instructor-led live training (available online or onsite) is designed for technical professionals at beginner to intermediate levels who want to understand how CANN and MindSpore components collaborate to support AI lifecycle management and infrastructure decision-making.

Upon completing this training, participants will be able to:

  • Grasp the layered architecture of Huawei’s AI compute stack.
  • Recognize how CANN facilitates model optimization and hardware-level deployment.
  • Assess the MindSpore framework and toolchain relative to industry alternatives.
  • Position Huawei's AI stack within enterprise or cloud/on-premises environments.

Course Format

  • Interactive lectures and discussions.
  • Live system demonstrations and case-based walkthroughs.
  • Optional guided labs exploring the model flow from MindSpore to CANN.

Customization Options

  • For customized training arrangements for this course, please contact us.
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GPU Programming with OpenACC

 28 Hours

This instructor-led live training Amsterdam (online or onsite) targets beginner to intermediate-level developers looking to leverage OpenACC for programming heterogeneous devices and harnessing their parallel computing power.

By the end of this training, participants will be able to:

  • Set up an OpenACC development environment.
  • Write and execute a basic OpenACC program.
  • Annotate code with OpenACC directives and clauses.
  • Utilize OpenACC APIs and libraries.
  • Profile, debug, and optimize OpenACC programs.
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CANN SDK for Computer Vision and NLP Pipelines

 14 Hours

The CANN SDK (Compute Architecture for Neural Networks) delivers robust deployment and optimization capabilities for real-time AI applications in computer vision and natural language processing (NLP), particularly on Huawei Ascend hardware.

This instructor-led live training, available online or on-site, is designed for intermediate-level AI practitioners looking to build, deploy, and optimize vision and language models using the CANN SDK for production environments.

Upon completion of this training, participants will be able to:

  • Deploy and optimize computer vision (CV) and NLP models using CANN and AscendCL.
  • Utilize CANN utilities to convert models and integrate them into live processing pipelines.
  • Enhance inference performance for tasks such as detection, classification, and sentiment analysis.
  • Construct real-time CV/NLP pipelines suitable for edge or cloud-based deployment.

Course Format

  • Interactive lectures and practical demonstrations.
  • Hands-on labs focusing on model deployment and performance profiling.
  • Live design of pipelines using real-world CV and NLP use cases.

Customization Options

  • To request a customized training session for this course, please contact us to make arrangements.
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Introduction to GPU Programming

 21 Hours

This instructor-led, live training in Amsterdam (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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Building Custom AI Operators with CANN TIK and TVM

 14 Hours

By leveraging CANN TIK (Tensor Instruction Kernel) alongside Apache TVM, developers can achieve advanced optimization and customization of AI model operators for Huawei Ascend hardware.

This instructor-led live training (available online or onsite) is designed for experienced system developers who want to create, deploy, and fine-tune custom operators for AI models utilizing CANN’s TIK programming model and TVM compiler integration.

Upon completion of this training, participants will be able to:

  • Write and test custom AI operators using the TIK DSL for Ascend processors.
  • Integrate custom operations into the CANN runtime and execution graph.
  • Utilize TVM for operator scheduling, auto-tuning, and benchmarking.
  • Debug and optimize instruction-level performance for custom computation patterns.

Course Format

  • Interactive lectures accompanied by practical demonstrations.
  • Hands-on coding exercises for operators using TIK and TVM pipelines.
  • Testing and tuning on Ascend hardware or simulators.

Customization Options

  • To arrange customized training for this course, please contact us.
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GPU Programming - OpenCL vs CUDA vs ROCm

 28 Hours

This instructor-led live training in Amsterdam (online or onsite) is designed for developers at beginner to intermediate levels who wish to utilize 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.
Read more...

AI Inference and Deployment with CloudMatrix

 21 Hours

CloudMatrix represents Huawei's unified platform for AI development and deployment, engineered to facilitate scalable, production-ready inference pipelines. <\/p>

This instructor-led live training, available online or on-site, targets beginner to intermediate AI professionals looking to deploy and monitor AI models using the CloudMatrix platform integrated with CANN and MindSpore. <\/p>

Upon completion of this training, participants will be equipped to: <\/p>

  • Utilize CloudMatrix for packaging, deploying, and serving models. <\/li>
  • Convert and optimize models specifically for Ascend chipsets. <\/li>
  • Establish pipelines for both real-time and batch inference workloads. <\/li>
  • Monitor deployments and fine-tune performance within production environments. <\/li> <\/ul>

    Course Format <\/p>

    • Interactive lectures and discussions. <\/li>
    • Practical, hands-on experience with CloudMatrix using real-world deployment scenarios. <\/li>
    • Guided exercises centered on model conversion, optimization, and scaling. <\/li> <\/ul>

      Customization Options <\/p>

      • For customized training tailored to your specific AI infrastructure or cloud environment, please contact us to arrange a session. <\/li> <\/ul>
Read more...

Blender: 3D Modeling Fundamentals - Part 2

 14 Hours

This instructor-led live training in Amsterdam (online or onsite) targets artists, game developers, or complete beginners who wish to use Blender to create 3D models for interactive applications, video games, animated films, etc.

Upon completing this training, participants will be able to:

  • Learn how to create animations and visual effects using Blender.
  • Add curves, surfaces, metaballs, and hair particles to simulate realistic 3D motions.
  • Gain an introduction to non-destructive modelling and animation techniques.
  • Export 3D models and assets to a game engine, 3D printer, or other software.
Read more...

CANN for Edge AI Deployment

 14 Hours

Huawei's Ascend CANN toolkit facilitates robust AI inference on edge devices, including the Ascend 310. It offers crucial tools for compiling, optimizing, and deploying models in environments with limited computing power and memory.

This instructor-led, live training (available online or on-site) is designed for intermediate-level AI developers and integrators looking to deploy and optimize models on Ascend edge devices using the CANN toolchain.

Upon completion of this training, participants will be able to:

  • Prepare and convert AI models for the Ascend 310 using CANN tools.
  • Construct lightweight inference pipelines utilizing MindSpore Lite and AscendCL.
  • Optimize model performance for environments with constrained compute and memory resources.
  • Deploy and monitor AI applications in real-world edge use cases.

Course Format

  • Interactive lectures and demonstrations.
  • Hands-on lab work focusing on edge-specific models and scenarios.
  • Live deployment examples on virtual or physical edge hardware.

Course Customization Options

  • To request customized training for this course, please contact us to arrange it.
Read more...

ROCm for Windows

 21 Hours

This instructor-led, live training in Amsterdam (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.
Read more...

AMD GPU Programming

 28 Hours

This instructor-led, live training in Amsterdam (online or onsite) is aimed at beginner to intermediate 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, an 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...

Blender: 3D Modeling Fundamentals - Part 1

 21 Hours

This instructor-led live training in Amsterdam (online or onsite) is aimed at artists, game developers, and 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.
  • Use the tools for UV mapping/unwrapping, sculpting, and painting 3D models rendering.
Read more...

Introduction to CANN for AI Framework Developers

 7 Hours

CANN (Compute Architecture for Neural Networks) is Huawei’s toolkit for AI computing, designed to compile, optimize, and deploy AI models on Ascend processors.

This guided training session, available online or in-person, targets AI developers at the beginner level who want to grasp how CANN integrates into the model lifecycle—from training through to deployment—and how it interacts with frameworks such as MindSpore, TensorFlow, and PyTorch.

Upon completion of this course, participants will be able to:

  • Grasp the purpose and architectural design of the CANN toolkit.
  • Configure a development environment using CANN alongside MindSpore.
  • Convert and deploy a straightforward AI model onto Ascend hardware.
  • Acquire foundational knowledge to support future projects involving CANN optimization or integration.

Course Format

  • Interactive lectures and discussions.
  • Practical hands-on labs focused on simple model deployment.
  • Step-by-step guidance through the CANN toolchain and integration points.

Customization Options

  • For tailored training arrangements, please contact us directly.
Read more...

Performance Optimization on Ascend, Biren, and Cambricon

 21 Hours

Ascend, Biren, and Cambricon represent top-tier AI hardware platforms in China, each providing distinct acceleration and profiling tools designed for production-scale AI workloads.

This instructor-led live training, available online or onsite, targets advanced AI infrastructure and performance engineers seeking to optimize model inference and training workflows across these diverse Chinese AI chip platforms.

Upon completion of this training, participants will be equipped to:

  • Benchmark models across Ascend, Biren, and Cambricon platforms.
  • Identify system bottlenecks and inefficiencies in memory and compute.
  • Implement optimizations at the graph, kernel, and operator levels.
  • Tune deployment pipelines to enhance throughput and reduce latency.

Course Format

  • Interactive lectures and discussions.
  • Practical application of profiling and optimization tools on each platform.
  • Guided exercises focused on real-world tuning scenarios.

Customization Options

  • To request a customized version of this course tailored to your specific performance environment or model type, please contact us to arrange.
Read more...

Adobe Animate: Basics to Advanced

 21 Hours

This instructor-led live training session (available either online or in-person) targets beginner to intermediate-level graphic designers and animators who aspire to master the creation of captivating animations, interactive media, and engaging web content using Adobe Animate.

Upon completion of this training, participants will be equipped to:

  • Navigate the Adobe Animate interface and utilize its tools effectively.
  • Construct and modify animations utilizing keyframes, motion tweens, and shape tweens.
  • Develop interactive animations and applications using ActionScript and JavaScript.
  • Integrate audio and video elements into their projects.
  • Export animations for compatibility with web, video, and mobile platforms.
Read more...

Optimizing Neural Network Performance with CANN SDK

 14 Hours

The CANN SDK (Compute Architecture for Neural Networks) serves as Huawei’s foundational AI compute platform, empowering developers to refine and optimize the performance of deployed neural networks on Ascend AI processors.

This instructor-led training session, available both online and onsite, targets advanced AI developers and system engineers seeking to enhance inference performance through CANN’s sophisticated toolset. Key areas covered include the Graph Engine, TIK, and custom operator development.

Upon completion of this training, participants will be equipped to:

  • Gain insight into CANN's runtime architecture and performance lifecycle.
  • Leverage profiling tools and the Graph Engine for detailed performance analysis and optimization.
  • Develop and optimize custom operators utilizing TIK and TVM.
  • Address memory bottlenecks and significantly improve model throughput.

Course Format

  • Interactive lectures and group discussions.
  • Practical hands-on labs featuring real-time profiling and operator tuning.
  • Optimization exercises based on edge-case deployment scenarios.

Customization Options

  • To arrange a customized training program for this course, please contact us directly.
Read more...

Migrating CUDA Applications to Chinese GPU Architectures

 21 Hours

Chinese GPU architectures, including Huawei Ascend, Biren, and Cambricon MLUs, provide alternatives to CUDA that are specifically designed for the domestic AI and High-Performance Computing (HPC) markets.

This instructor-led live training, available both online and onsite, is designed for advanced GPU programmers and infrastructure specialists looking to migrate and optimize their existing CUDA applications for deployment on Chinese hardware platforms.

Upon completion of this training, participants will be able to:

  • Evaluate the compatibility of current CUDA workloads with Chinese chip alternatives.
  • Port CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
  • Compare performance metrics and identify optimization opportunities across different platforms.
  • Address practical challenges related to cross-architecture support and deployment.

Course Format

  • Interactive lectures and discussions.
  • Hands-on labs involving code translation and performance comparisons.
  • Guided exercises focused on multi-GPU adaptation strategies.

Customization Options

  • To request customized training for this course tailored to your specific platform or CUDA project, please contact us to arrange.
Read more...

GPU Programming with CUDA

 28 Hours

This instructor-led, live training in Amsterdam (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.

97% of our clients are satisfied.

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Psdto3D101 for Lenticular File Creation

 7 Hours

Psdto3D101 is a dedicated software solution tailored for generating lenticular files featuring 3D, flip, morph, and motion effects. This course equips participants with the necessary knowledge and hands-on skills to effectively manage and utilize Psdto3D101 for producing high-quality professional lenticular outputs, addressing both the technical management and creative application aspects of the tool.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate graphic and print professionals looking to create, manage, and optimize lenticular files using Psdto3D101.

Upon completion of this training, participants will be able to:

  • Grasp the fundamental principles of lenticular printing and design.
  • Navigate and configure Psdto3D101 for various project types.
  • Generate 3D, flip, and motion effects utilizing layers and sequences.
  • Export and prepare lenticular files ready for professional printing.

Format of the Course

  • Interactive lectures and discussions.
  • Practical exercises utilizing Psdto3D101 software.
  • Hands-on implementation within a live-lab environment.

Course Customization Options

  • To arrange customized training for this course, please contact us.
Read more...

Deploying AI Models with CANN and Ascend AI Processors

 14 Hours

CANN (Compute Architecture for Neural Networks) represents Huawei’s AI compute stack designed to deploy and optimize AI models on Ascend AI processors.

This instructor-led, live training—available either online or onsite—is tailored for intermediate-level AI developers and engineers who aim to efficiently deploy trained AI models onto Huawei Ascend hardware. The curriculum leverages the CANN toolkit alongside tools such as MindSpore, TensorFlow, or PyTorch.

Upon completing this training, participants will be equipped to:

  • Comprehend the CANN architecture and its significance within the AI deployment pipeline.
  • Convert and adapt models from widely used frameworks into formats compatible with Ascend.
  • Utilize tools like ATC, OM model conversion, and MindSpore for both edge and cloud inference tasks.
  • Identify deployment challenges and optimize performance on Ascend hardware.

Course Format

  • Interactive lectures combined with live demonstrations.
  • Practical lab exercises using CANN tools alongside Ascend simulators or physical devices.
  • Real-world deployment scenarios based on existing AI models.

Customization Options

  • For inquiries regarding customized training for this course, please reach out to us to make arrangements.
Read more...

GPU Programming on Biren AI Accelerators

 21 Hours

Biren AI Accelerators are high-performance GPUs designed for AI and HPC workloads with support for large-scale training and inference.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

By the end of this training, participants will be able to:

  • Understand Biren GPU architecture and memory hierarchy.
  • Set up the development environment and use Biren’s programming model.
  • Translate and optimize CUDA-style code for Biren platforms.
  • Apply performance tuning and debugging techniques.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of Biren SDK in sample GPU workloads.
  • Guided exercises focused on porting and performance tuning.

Course Customization Options

  • To request a customized training for this course based on your application stack or integration needs, please contact us to arrange.
Read more...

Blender: 3D Modeling Fundamentals

 35 Hours

This instructor-led live training in Amsterdam (online or on-site) 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. 
Read more...

Cambricon MLU Development with BANGPy and Neuware

 21 Hours

Cambricon MLUs (Machine Learning Units) are specialized AI chips designed to optimize both inference and training tasks for edge and data center environments.

This instructor-led, live training (available online or on-site) targets intermediate developers aiming to build and deploy AI models utilizing the BANGPy framework and Neuware SDK on Cambricon MLU hardware.

Upon completing this training, participants will be capable of:

  • Setting up and configuring development environments for BANGPy and Neuware.
  • Creating and optimizing Python- and C++-based models tailored for Cambricon MLUs.
  • Deploying these models to edge and data center devices powered by the Neuware runtime.
  • Integrating machine learning workflows with acceleration features specific to MLU hardware.

Course Format

  • Interactive lectures and discussions.
  • Practical application of BANGPy and Neuware for development and deployment.
  • Guided exercises centered on optimization, integration, and testing.

Customization Options

  • To arrange a customized version of this course tailored to your specific Cambricon device model or use case, please contact us.
Read more...

Administration of CUDA

 35 Hours

This instructor-led, live training in Amsterdam (online or onsite) is designed for beginner-level system administrators and IT professionals who want to install, configure, manage, and troubleshoot CUDA environments.

Upon completing this training, participants will be able to:

  • Gain insight into the architecture, components, and capabilities of CUDA.
  • Install and set up CUDA environments.
  • Manage and optimize CUDA resources.
  • Debug and resolve common CUDA issues.
Read more...

GPU Programming with OpenCL

 28 Hours

This instructor-led live training in Amsterdam (online or onsite) targets beginner to intermediate developers who want 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 an OpenCL SDK, an OpenCL-compatible device, and Visual Studio Code.
  • Create a basic OpenCL program that performs vector addition on the device and retrieves results from device memory.
  • Use the OpenCL API to query device information, create contexts, command queues, buffers, kernels, and events.
  • Write kernels using the OpenCL C language that execute on the device and manipulate data.
  • Utilize OpenCL built-in functions, extensions, and libraries to perform common tasks and operations.
  • Apply OpenCL host and device memory models to optimize data transfers and memory accesses.
  • Use the OpenCL execution model to control 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.
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Autodesk Fusion 360

 21 Hours

This instructor-led, live training in Amsterdam (online or onsite) is aimed at beginner-level to advanced-level 3D design and 3D printing enthusiasts who wish to use Fusion 360 to design, simulate, and prepare models for 3D printing.

By the end of this training, participants will be able to:

  • Install and configure Fusion 360 for optimal performance.
  • Design, model, and simulate 3D objects in a unified environment.
  • Optimize and prepare designs for the 3D printing process.
  • Collaborate and share their designs using Fusion 360's cloud capabilities.
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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 modeling tool designed for creating real-world objects.

In this instructor-led live training, participants will learn how to model objects suitable for physical construction or 3D printing.

Upon completion of this training, participants will be able to:

  • Leverage FreeCAD's tools and workflows as an alternative to commercial CAD or BIM software
  • Export designs in various formats, including STEP, IGES, STL, SVG, DXF, OBJ, IFC, DAE, and more
  • Utilize Python to extend FreeCAD's capabilities
  • Automate FreeCAD, develop custom modules, and embed it within existing applications

Audience

  • Designers
  • Developers
  • Mechanical engineers

Course Format

  • A blend of lectures, discussions, exercises, and extensive hands-on practice
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NVIDIA GPU Programming - Extended

 21 Hours

This instructor-led, live training course in Amsterdam 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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Testimonials (2)

the point that Huba took the time to sit with me as the lesser knowledgeable of the application and go through each part and explain where i had gone wrong and how to correct the issue

Paul - Nottinghamshire Police

Course - Blender: 3D Modeling Fundamentals

Trainers energy and humor.

Tadeusz Kaluba - Nokia Solutions and Networks Sp. z o.o.

Course - NVIDIA GPU Programming - Extended

Provisional Upcoming Courses (Contact Us For More Information)

Blender: 3D Modeling Fundamentals

2026-08-18 09:30
35 hours
Zuidas

Developing AI Applications with Huawei Ascend and CANN

2026-09-01 09:30
21 hours
Sloterdijk

Psdto3D101 for Lenticular File Creation

2026-09-15 09:30
7 hours
Amstelveen

Understanding Huawei’s AI Compute Stack: From CANN to MindSpore

2026-09-29 09:30
14 hours
Schiphol Airport

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