Computer Graphics Training in Christchurch

Huawei Ascend is a family of AI processors designed for high-performance inference and training.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI engineers and data scientists who wish to develop and optimise neural network models using Huawei's Ascend platform and the CANN toolkit.

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

• Set up and configure the CANN development environment.
• Develop AI applications using MindSpore and CloudMatrix workflows.
• Optimise performance on Ascend NPUs using custom operators and tiling.
• Deploy models to edge or cloud environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Huawei Ascend and CANN toolkit in sample applications.
• Guided exercises focused on model building, training, and deployment.

Course Customisation Options

• To request a customised training for this course based on your infrastructure or datasets, please contact us to arrange.

Huawei's AI stack — spanning from the low-level CANN SDK to the high-level MindSpore framework — delivers a tightly integrated AI development and deployment environment optimised for Ascend hardware.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level technical professionals seeking to understand how CANN and MindSpore components work together to support AI lifecycle management and inform infrastructure decisions.

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

• Understand the layered architecture of Huawei's AI compute stack.
• Identify how CANN supports model optimisation and hardware-level deployment.
• Evaluate the MindSpore framework and toolchain in relation to industry alternatives.
• Position Huawei's AI stack within enterprise or cloud/on-premises environments.

Course Format

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

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (available online or on-site) is designed for beginner to intermediate-level developers who wish to leverage OpenACC to program heterogeneous devices and harness their parallelism. 

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

• Set up an OpenACC development environment.
• Write and execute a basic OpenACC program.
• Annotate code using OpenACC directives and clauses.
• Utilise the OpenACC API and associated libraries.
• Profile, debug, and optimise OpenACC programs.

The CANN SDK (Compute Architecture for Neural Networks) delivers powerful deployment and optimisation tools for real-time AI applications in computer vision and NLP, particularly on Huawei Ascend hardware.

This instructor-led, live training (online or on-site) is designed for intermediate-level AI practitioners who wish to build, deploy and optimise vision and language models using the CANN SDK for production use cases.

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

• Deploy and optimise CV and NLP models using CANN and AscendCL.
• Use CANN tools to convert models and integrate them into live pipelines.
• Optimise inference performance for tasks such as detection, classification and sentiment analysis.
• Build real-time CV/NLP pipelines for edge or cloud-based deployment scenarios.

Course Format

• Interactive lecture and demonstration.
• Hands-on lab covering model deployment and performance profiling.
• Live pipeline design using real-world CV and NLP use cases.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (available online or on-site) is designed for beginner to intermediate-level developers who wish to learn the fundamentals of GPU programming and the primary frameworks and tools used to develop GPU applications.

• By the end of this training, participants will be able to:
  Understand the differences between CPU and GPU computing, as well as the benefits and challenges of GPU programming.
• Select the appropriate framework and tool for their specific GPU application.
• Develop a basic GPU program that performs vector addition using one or more of the available frameworks and tools.
• Utilise the relevant APIs, languages, and libraries to query device information, allocate and deallocate device memory, transfer data between host and device, launch kernels, and synchronise threads.
• Employ the respective memory spaces, including global, local, constant, and private, to optimise data transfers and memory accesses.
• Apply the corresponding execution models, such as work-items, work-groups, threads, blocks, and grids, to control parallelism.
• Debug and test GPU programs using tools such as CodeXL, CUDA-GDB, CUDA-MEMCHECK, and NVIDIA Nsight.
• Optimise GPU programs through techniques such as coalescing, caching, prefetching, and profiling.

CANN TIK (Tensor Instruction Kernel) and Apache TVM enable advanced optimisation and customisation of AI model operators for Huawei Ascend hardware.

This instructor-led, live training (online or onsite) is aimed at advanced-level system developers who wish to build, deploy, and tune custom operators for AI models using CANN's TIK programming model and TVM compiler integration.

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

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

Format of the Course

• Interactive lecture and demonstration.
• Hands-on coding of operators using TIK and TVM pipelines.
• Testing and tuning on Ascend hardware or simulators.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level developers seeking to explore different GPU programming frameworks and compare their features, performance, and compatibility.

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

• Configure a development environment comprising the OpenCL SDK, CUDA Toolkit, ROCm Platform, a compatible device supporting OpenCL, CUDA, or ROCm, and Visual Studio Code.
• Develop a basic GPU program that performs vector addition using OpenCL, CUDA, and ROCm, and compare the syntax, structure, and execution characteristics of each framework.
• Leverage respective APIs to query device information, allocate and deallocate device memory, transfer data between host and device, launch kernels, and synchronise threads.
• Utilise framework-specific languages to write kernels that execute on the device and manipulate data.
• Employ built-in functions, variables, and libraries to perform common tasks and operations.
• Apply appropriate memory spaces, such as global, local, constant, and private, to optimise data transfers and memory accesses.
• Implement execution models to manage threads, blocks, and grids that define parallelism.
• Debug and test GPU programs using tools such as CodeXL, CUDA-GDB, CUDA-MEMCHECK, and NVIDIA Nsight.
• Optimise GPU programs through techniques including coalescing, caching, prefetching, and profiling.

CloudMatrix is Huawei’s unified AI development and deployment platform, designed to support scalable, production-grade inference pipelines.

This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level AI professionals who wish to deploy and monitor AI models using the CloudMatrix platform, with integrated support for CANN and MindSpore.

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

• Leverage CloudMatrix for model packaging, deployment, and serving.
• Convert and optimise models for Ascend chipsets.
• Establish pipelines for both real-time and batch inference tasks.
• Monitor deployments and fine-tune performance in production environments.

Course Format

• Interactive lectures and group discussions.
• Practical, hands-on experience with CloudMatrix using real-world deployment scenarios.
• Guided exercises focused on model conversion, optimisation, and scaling.

Course Customisation Options

• To request a customised training session tailored to your AI infrastructure or cloud environment, please contact us to arrange.

This instructor-led, live training in Christchurch (available online or on-site) is designed for artists, game developers, and complete beginners who want to use Blender to create 3D models for interactive applications, video games, animated films, and more.

By the end of 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 motion.
• Gain an introduction to non-destructive modelling and animation.
• Export 3D models and assets to a game engine, 3D printer, or other software.

Huawei's Ascend CANN toolkit delivers powerful AI inference capabilities on edge devices such as the Ascend 310. CANN provides essential tools for compiling, optimising, and deploying models in environments where compute and memory resources are limited.

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

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

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

Format of the Course

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

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level developers who wish to install and use ROCm on Windows to program AMD GPUs and leverage their parallel processing capabilities.

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

• Set up a development environment comprising the ROCm Platform, an AMD GPU, and Visual Studio Code on Windows.
• Create a basic ROCm program that performs vector addition on the GPU and retrieves results from GPU memory.
• Use the ROCm API to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronise threads.
• Use the HIP language to write kernels that execute on the GPU and manipulate data.
• Utilise HIP built-in functions, variables, and libraries to perform common tasks and operations.
• Apply ROCm and HIP memory spaces, such as global, shared, constant, and local, to optimise data transfers and memory accesses.
• Leverage ROCm and HIP execution models to control the threads, blocks, and grids that define parallelism.
• Debug and test ROCm and HIP programs using tools such as the ROCm Debugger and ROCm Profiler.
• Optimise ROCm and HIP programs using techniques including coalescing, caching, prefetching, and profiling.

This instructor-led, live training in Christchurch (available online or on-site) is designed for beginner to intermediate-level developers who wish to use ROCm and HIP to program AMD GPUs and harness their parallel capabilities.

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

• Set up a development environment that includes the ROCm Platform, an AMD GPU, and Visual Studio Code.
• Create a basic ROCm program that performs vector addition on the GPU and retrieves results from GPU memory.
• Use the ROCm API to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronise threads.
• Use the HIP language to write kernels that execute on the GPU and manipulate data.
• Utilise HIP built-in functions, variables, and libraries to perform common tasks and operations.
• Apply ROCm and HIP memory spaces—such as global, shared, constant, and local—to optimise data transfers and memory accesses.
• Leverage ROCm and HIP execution models to control the threads, blocks, and grids that define parallelism.
• Debug and test ROCm and HIP programs using tools such as the ROCm Debugger and ROCm Profiler.
• Optimise ROCm and HIP programs using techniques like coalescing, caching, prefetching, and profiling.

This instructor-led, live training in Christchurch (online or onsite) is designed for artists, game developers, or absolute beginners who wish to utilise Blender to create 3D models for interactive applications, video games, animated films, and more.

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

• Grasp the principles and core concepts of 3D modelling.
• Explore a range of modes and tools for modelling and editing 3D meshes.
• Utilise tools for UV mapping/unwrapping, sculpting, and rendering 3D models.

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

This instructor-led, live training (online or on-site) is aimed at beginner-level AI developers who wish to understand how CANN fits into the model lifecycle from training to deployment, and how it works with frameworks such as MindSpore, TensorFlow, and PyTorch.

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

• Understand the purpose and architecture of the CANN toolkit.
• Set up a development environment with CANN and MindSpore.
• Convert and deploy a simple AI model to Ascend hardware.
• Gain foundational knowledge for future CANN optimisation or integration projects.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with simple model deployment.
• Step-by-step walkthrough of the CANN toolchain and integration points.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

Ascend, Biren, and Cambricon are leading AI hardware platforms in China, each offering unique acceleration and profiling tools for production-scale AI workloads.

This instructor-led, live training (online or onsite) is aimed at advanced-level AI infrastructure and performance engineers who wish to optimise model inference and training workflows across multiple Chinese AI chip platforms.

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

• Benchmark models on Ascend, Biren, and Cambricon platforms.
• Identify system bottlenecks and memory/compute inefficiencies.
• Apply graph-level, kernel-level, and operator-level optimisations.
• Tune deployment pipelines to improve throughput and latency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of profiling and optimisation tools on each platform.
• Guided exercises focused on practical tuning scenarios.

Course Customisation Options

• To request a customised training for this course based on your performance environment or model type, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level graphic designers and animators who wish to learn how to create stunning animations, interactive media, and engaging web content using Adobe Animate.

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

• Navigate the Adobe Animate interface and tools.
• Create and edit animations using keyframes, motion tweens, and shape tweens.
• Design interactive animations and applications using ActionScript and JavaScript.
• Incorporate audio and video elements into projects.
• Export animations for web, video, and mobile platforms.

CANN SDK (Compute Architecture for Neural Networks) is Huawei's AI compute foundation that enables developers to fine-tune and optimise the performance of deployed neural networks on Ascend AI processors.

This instructor-led, live training (available online or on-site) is designed for advanced-level AI developers and system engineers who wish to enhance inference performance using CANN's advanced toolset, including the Graph Engine, TIK, and custom operator development.

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

• Understand CANN's runtime architecture and performance lifecycle.
• Use profiling tools and the Graph Engine for performance analysis and optimisation.
• Create and optimise custom operators using TIK and TVM.
• Resolve memory bottlenecks and improve model throughput.

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring real-time profiling and operator tuning.
• Optimisation exercises using edge-case deployment scenarios.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

Chinese GPU architectures, including Huawei Ascend, Biren, and Cambricon MLUs, provide CUDA alternatives specifically designed for local AI and high-performance computing (HPC) markets.

This instructor-led, live training (available online or on-site) is tailored for advanced-level GPU programmers and infrastructure specialists seeking to migrate and optimise existing CUDA applications for deployment on Chinese hardware platforms.

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

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

Course Format

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

Course Customisation Options

• To request a customised training session for this course based on your platform or CUDA project, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level developers who wish to use CUDA to program NVIDIA GPUs and harness their parallel processing capabilities.

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

• Set up a development environment that includes the CUDA Toolkit, an NVIDIA GPU, and Visual Studio Code.
• Create a basic CUDA program that performs vector addition on the GPU and retrieves results from GPU memory.
• Use the CUDA API to query device information, allocate and deallocate device memory, copy data between host and device, launch kernels, and synchronise threads.
• Use the 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.
• Leverage CUDA memory spaces, such as global, shared, constant, and local, to optimise data transfers and memory accesses.
• Apply the CUDA execution model to control threads, blocks, and grids that define parallelism.
• Debug and test CUDA programs using tools such as CUDA-GDB, CUDA-MEMCHECK, and NVIDIA Nsight.
• Optimise CUDA programs using techniques such as coalescing, caching, prefetching, and profiling.

97% of clients satisfied.

Psdto3D101 is a specialised software tool designed for creating lenticular files featuring 3D effects, flip, morph, and motion designs. This course equips participants with the knowledge and practical skills needed to effectively manage and apply Psdto3D101 for producing professional lenticular outputs, covering both the management and creative aspects of the software.

This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level graphic and print professionals who wish to create, manage, and optimise lenticular files using Psdto3D101.

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

• Understand the fundamentals of lenticular printing and design.
• Navigate and configure Psdto3D101 for different project types.
• Create 3D, flip, and motion effects using layers and sequences.
• Export and prepare lenticular files for professional printing.

Course Format

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

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

CANN (Compute Architecture for Neural Networks) is Huawei's AI compute stack for deploying and optimising AI models on Ascend AI processors.

This instructor-led, live training (online or on-site) is designed for intermediate-level AI developers and engineers who wish to deploy trained AI models efficiently to Huawei Ascend hardware using the CANN toolkit and tools such as MindSpore, TensorFlow, or PyTorch.

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

• Understand the CANN architecture and its role in the AI deployment pipeline.
• Convert and adapt models from popular frameworks to Ascend-compatible formats.
• Use tools like ATC, OM model conversion, and MindSpore for edge and cloud inference.
• Diagnose deployment issues and optimise performance on Ascend hardware.

Format of the Course

• Interactive lecture and demonstration.
• Hands-on lab work using CANN tools and Ascend simulators or devices.
• Practical deployment scenarios based on real-world AI models.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

Biren AI Accelerators are high-performance GPUs tailored for AI and HPC workloads, offering robust support for large-scale training and inference.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced developers who aim to program and optimise 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 utilise Biren’s programming model.
• Translate and optimise CUDA-style code for Biren platforms.
• Apply performance tuning and debugging techniques.

Format of the Course

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

Course Customisation Options

• To request a customised training session based on your application stack or integration needs, please contact us to arrange.

This instructor-led, live training in Christchurch (available online or on-site) is designed for artists, game developers, and complete beginners who wish to use Blender to create 3D models for interactive applications, video games, animated films, and more.

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

• Understand the principles and core concepts of 3D modelling.
• Explore a range of modes and tools for modelling and editing 3D meshes.
• Learn how to create animations and visual effects using Blender.
• Add curves, surfaces, metaballs, and hair particles to simulate realistic 3D motions.
• Use tools for UV mapping/unwrapping, sculpting, and painting 3D models.
• Export 3D models and assets to a game engine, 3D printer, or other software.

Cambricon MLUs (Machine Learning Units) are specialised AI chips optimised for inference and training in edge and datacentre scenarios.

This instructor-led, live training (online or on-site) is designed for intermediate-level developers who wish to build and deploy AI models using the BANGPy framework and Neuware SDK on Cambricon MLU hardware.

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

• Set up and configure the BANGPy and Neuware development environments.
• Develop and optimise Python- and C++-based models for Cambricon MLUs.
• Deploy models to edge and datacentre devices running the Neuware runtime.
• Integrate ML workflows with MLU-specific acceleration features.

Course Format

• Interactive lectures and discussions.
• Hands-on application of BANGPy and Neuware for development and deployment.
• Guided exercises focused on optimisation, integration, and testing.

Course Customisation Options

• To request a customised training session for this course based on your Cambricon device model or specific use case, please contact us to make arrangements.

This instructor-led, live training in Christchurch (online or onsite) is designed for 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 optimise CUDA resources.
• Debug and troubleshoot common CUDA issues.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level developers who wish to use OpenCL to program heterogeneous devices and harness their parallel capabilities.

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

• Set up a development environment that includes the OpenCL SDK, a device supporting OpenCL, 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 and create contexts, command queues, buffers, kernels, and events.
• Use the 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.
• Apply OpenCL host and device memory models to optimise data transfers and memory accesses.
• Leverage 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.
• Optimise OpenCL programs using techniques such as vectorisation, loop unrolling, local memory usage, and profiling.

This instructor-led, live training in Christchurch (online or on-site) 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.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner 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 within a unified environment.
• Optimise and prepare designs for the 3D printing process.
• Collaborate and share their designs using Fusion 360's cloud capabilities.

What you will learn during the training:

• Principles of creating computer graphics and desktop publishing
• Methods for defining and working with colour
• Differences between vector and bitmap graphics
• Techniques for customising colour photos and graphics
• Principles of retouching and creating photomontages
• Creating your own illustrations and graphics
• Adapting graphic material composition and printing to specific needs
• Designing logos and logotypes
• Creating engaging charts and tables
• Designing business cards and letterheads
• Creating labels, diplomas, and invitations
• Preparing leaflets
• Text formatting techniques
• Using spot colours
• Principles of print preparation
• Digital printing, offset printing, and screen printing

Sample topics covered in the classes:

• My poster
• Portrait design
• Expansive layouts
• My catalog
• My face
• Billboard design
• My logo

This instructor-led, live training in Christchurch (available online or on-site) is designed for beginner to intermediate-level developers and UI/UX designers who wish to utilise Adobe LiveCycle Designer to build interactive and dynamic PDF forms.

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

• Create and edit PDF forms using a variety of elements and properties.
• Incorporate scripts and logic into PDF forms using JavaScript.
• Validate and secure PDF forms effectively.
• Integrate PDF forms with external data sources and web services.
• Deploy and distribute PDF forms successfully.

This course is ideal for those looking to begin their graphic design journey using Affinity Designer, one of the most popular and versatile vector graphics applications available. If you're new to computer graphics and seeking a solid foundation, this course will guide you step by step through mastering the essential features and tools needed to create professional-quality designs.

Throughout the course:

You'll learn how to navigate the Affinity Designer interface with confidence, enabling you to utilise its full range of features effectively.

You'll become proficient in the fundamental drawing and editing tools, empowering you to create your own illustrations and graphics.

You'll gain a clear understanding of how to work with layers, as well as how to incorporate colour and typography into your designs.

You'll master the essentials of exporting your work in various formats, ready for print or online publication.

Upon completion, you'll be equipped to produce simple graphics, logos, posters, and other visual materials using Affinity Designer. The course will provide a strong foundation to support your ongoing development as a graphic designer.

During the training, participants will learn to:

• use a vector graphics program.
• create simple objects.
• create advanced curves.
• design a logo.
• trace elements created on paper or from photographs.
• produce leaflets.
• design advertising posters.
• open and modify vector documents and PDFs, including EPS files.

This instructor-led, live training (online or on-site) is designed for beginner to intermediate-level developers who wish to build a mobile AR application using ARToolKit and its latest capabilities for mobile, natural feature tracking, calibration, and integration with external sensors.

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level 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.

FreeCAD is an open-source, customisable, multi-platform, scriptable and extensible parametric 3D modeller for designing real-world 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 modelling software
• Export 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

This course offers a hands-on introduction to Inkscape, an open-source vector graphics application widely used to create professional-quality visuals such as logos, icons, infographics, diagrams, and marketing materials.

Through guided, practical sessions, participants will master the core features and tools of Inkscape—including shapes, paths, layers, colour, and typography—while completing exercises tailored to workplace design needs. The training also covers best practices for file organisation, collaboration, and exporting artwork for both digital and print use.

This instructor-led, live training in Christchurch (online or on-site) is designed for web designers who wish to use Maya to create 3D animations.

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

• Create realistic models and textures using Maya.
• Animate and render projects for high-quality playback.
• Simulate natural effects such as water and smoke.

This instructor-led, live training course in Christchurch 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 optimisation techniques using CUDA. Some of the applications include deep learning, analytics, image processing and engineering applications.

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

This instructor-led, live training in Christchurch (online or on-site) 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 begin building 3D graphics and workflows.
• Understand the fundamentals of USD composition and apply modifications to enhance 3D assets and scenes.
• Share, combine, and transform multiple assets using the supported USD plugins for third-party applications (Maya, Katana, and Houdini).

Adobe graphic programs are a set of tools for creating, editing, and manipulating graphics, multimedia, and documents. Adobe Systems is well known for developing numerous professional applications dedicated to graphic design, multimedia, photo editing, web design, and more. Below are some of the main graphic programs developed by Adobe: Adobe Photoshop This is one of the most popular programs for editing raster graphics. It allows users to manipulate images, create graphics, retouch photos, correct colours, and perform many other advanced operations. Adobe Illustrator Focusing on vector graphics, Illustrator enables the creation of logos, illustrations, vector-based designs, typographic projects, and other elements that can be scaled without loss of quality.