Totowa, NJ – Regus at Riverview Drive

999 Riverview Dr 2nd Floor, Totowa, United States, 07512

The venue is located in a landscaped corporate park off Route 46 and I‑80, offering easy access by car and free on-site parking. From Newark Liberty International Airport (EWR), about 15 miles away, a taxi or rideshare ride via I‑78 West typically takes 20–25 minutes. Visitors arriving by car from New York City or northern NJ can use I‑80, I‑287, or the Garden State Parkway. Public transit is also convenient: NJ Transit and local bus routes stop near the Riverview campus, and the Little Falls train station is just a short rideshare or walk away.

Princeton, NJ – Regus at Overlook Business Center

100 Overlook Center, 2nd Floor, Princeton, United States, 08540

The venue is located just off Route 1 within a landscaped office park at Overlook Center, easily reached by car via I‑95 or US‑1, with complimentary on-site parking. From Newark Liberty or Philadelphia International Airports, travel takes approximately 1–1.5 hours via I‑95 and US‑1. Attendees can also arrive by train: New Jersey Transit and Amtrak serve Princeton Junction Station (about 3 miles away), with local shuttle or taxi options for the final leg. Public transit users can take local DART or Coach USA buses that stop at Route 1 and University Drive, followed by a brief walk to building entrance.

Newark, NJ – At One Gateway Center

One Gateway Center, Suite 2600, Newark, United States, 07102

The venue is situated within the iconic One Gateway Center, directly connected to Newark Penn Station via covered walkway, and is conveniently accessible by car via I‑95, I‑78, I‑280, and the New Jersey Turnpike, with public garages nearby. Visitors arriving from Newark Liberty International Airport (EWR), roughly 3 miles away, can expect a 10-minute taxi or rideshare ride via I‑78 West. Those coming by train benefit from Penn Station, which also connects by PATH service to Manhattan in under 20 minutes. Local NJ Transit and Newark Light Rail bus routes also serve the Gateway complex, offering seamless public transit access.

Jersey City, NJ – Regus at Hudson Street

101 Hudson Street, 21st Floor, Jersey City, united states, 07302

The venue is located on the 21st floor of the 42‑story Merrill Lynch Building at 101 Hudson Street in Paulus Hook, reachable by car via I‑78, I‑95, or the New Jersey Turnpike, with public and building parking available. From Newark Liberty Airport (EWR), about 8 miles away, taxis or rideshares take 15–20 minutes via I‑78 East. Attendees arriving by train can use Newark Penn or PATH to Exchange Place or Newport stations, then walk 5–7 minutes to the building. Multiple NJ Transit and local bus routes also serve the area.

Trenton, NJ – Base Camp Trenton

247 E Front St, Trenton, United States, 08611

The venue is located in downtown Trenton on Front Street, just off Route 29 and a short drive from I‑295, offering easy car access with street and municipal lot parking nearby. Visitors coming from Newark Liberty International Airport (EWR), about 45 miles northeast, can expect a taxi or rideshare ride of roughly 50–60 minutes via I‑95 South. Those arriving from Philadelphia International Airport (PHL), approximately 25 miles southwest, typically take about 35–45 minutes via I‑95 North. Public transit is also convenient—NJ Transit trains arrive at Trenton Transit Center just a few blocks away and local DART First State buses stop near Front Street, placing the venue within short walking distance for attendees without a car.

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 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 optimize 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.
  • Optimize 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 Customization Options

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

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

 14 Hours

Huawei’s AI stack — from the low-level CANN SDK to the high-level MindSpore framework — offers a tightly integrated AI development and deployment environment optimized for Ascend hardware.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level technical professionals who wish to understand how the CANN and MindSpore components work together to support AI lifecycle management and 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 optimization 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-prem environments.

Format of the Course

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

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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GPU Programming with OpenACC

 28 Hours

This instructor-led, live training in New Jersey (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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CANN SDK for Computer Vision and NLP Pipelines

 14 Hours

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI practitioners who wish to build, deploy, and optimize 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 optimize CV and NLP models using CANN and AscendCL.
  • Use CANN tools to convert models and integrate them into live pipelines.
  • Optimize inference performance for tasks like detection, classification, and sentiment analysis.
  • Build real-time CV/NLP pipelines for edge or cloud-based deployment scenarios.

Format of the Course

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

Course Customization Options

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

 21 Hours

This instructor-led, live training in New Jersey (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

CANN TIK (Tensor Instruction Kernel) and Apache TVM enable advanced optimization and customization 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 optimize 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 Customization Options

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

 28 Hours

This instructor-led, live training in New Jersey (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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AI Inference and Deployment with CloudMatrix

 21 Hours

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

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

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

  • Use CloudMatrix for model packaging, deployment, and serving.
  • Convert and optimize models for Ascend chipsets.
  • Set up pipelines for real-time and batch inference tasks.
  • Monitor deployments and tune performance in production settings.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of CloudMatrix with real deployment scenarios.
  • Guided exercises focused on conversion, optimization, and scaling.

Course Customization Options

  • To request a customized training for this course based on your AI infrastructure or cloud environment, please contact us to arrange.
Read more...

Blender: 3D Modeling Fundamentals - Part 2

 14 Hours

This instructor-led, live training in New Jersey (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:

  • Learn how to create animations and visual effects with Blender.
  • Add curves, surfaces, metaballs, and hair particles to simulate realistic 3D motions.
  • Introduction to non-destructive modelling and animation.
  • 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 enables powerful AI inference on edge devices such as the Ascend 310. CANN provides essential tools for compiling, optimizing, and deploying models where compute and memory are constrained.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI developers and integrators who wish to deploy and optimize 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 Ascend 310 using CANN tools.
  • Build lightweight inference pipelines using MindSpore Lite and AscendCL.
  • Optimize model performance for limited compute and memory environments.
  • Deploy and monitor AI applications in real-world edge use cases.

Format of the Course

  • Interactive lecture and demonstration.
  • Hands-on lab work with edge-specific models and scenarios.
  • Live deployment examples on virtual or physical edge hardware.

Course Customization Options

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

ROCm for Windows

 21 Hours

This instructor-led, live training in New Jersey (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 New Jersey (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...

Blender: 3D Modeling Fundamentals - Part 1

 21 Hours

This instructor-led, live training in New Jersey (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.
  • Use the tools for UV mapping/unwrapping, sculpting, and painting 3D models renderring.
Read more...

Introduction to CANN for AI Framework Developers

 7 Hours

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

This instructor-led, live training (online or onsite) 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 like 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 optimization 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 Customization Options

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

Performance Optimization on Ascend, Biren, and Cambricon

 21 Hours

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 optimize 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 optimizations.
  • Tune deployment pipelines to improve throughput and latency.

Format of the Course

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

Course Customization Options

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

Adobe Animate: Basics to Advanced

 21 Hours

This instructor-led, live training in New Jersey (online or onsite) is aimed at beginner-level 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 with ActionScript and JavaScript.
  • Incorporate audio and video elements into projects.
  • Export animations for web, video, and mobile platforms.
Read more...

Optimizing Neural Network Performance with CANN SDK

 14 Hours

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

This instructor-led, live training (online or onsite) is aimed at advanced-level AI developers and system engineers who wish to optimize 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 Graph Engine for performance analysis and optimization.
  • Create and optimize custom operators using TIK and TVM.
  • Resolve memory bottlenecks and improve model throughput.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on labs with real-time profiling and operator tuning.
  • Optimization exercises using edge-case deployment examples.

Course Customization Options

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

Migrating CUDA Applications to Chinese GPU Architectures

 21 Hours

Chinese GPU architectures such as Huawei Ascend, Biren, and Cambricon MLUs offer CUDA alternatives tailored for local AI and HPC markets.

This instructor-led, live training (online or onsite) is aimed at advanced-level GPU programmers and infrastructure specialists who wish to migrate and optimize existing CUDA applications for deployment on Chinese hardware platforms.

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

  • Evaluate 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 optimization points across platforms.
  • Address practical challenges in cross-architecture support and deployment.

Format of the Course

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

Course Customization Options

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

GPU Programming with CUDA

 28 Hours

This instructor-led, live training in New Jersey (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% de clients satisfaits. 

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Deploying AI Models with CANN and Ascend AI Processors

 14 Hours

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

This instructor-led, live training (online or onsite) is aimed at 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 optimize 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 Customization Options

  • To request a customized training for this course, please contact us to arrange.
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 New Jersey (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. 
Read more...

Cambricon MLU Development with BANGPy and Neuware

 21 Hours

Cambricon MLUs (Machine Learning Units) are specialized AI chips optimized for inference and training in edge and datacenter scenarios.

This instructor-led, live training (online or onsite) is aimed at 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 optimize Python- and C++-based models for Cambricon MLUs.
  • Deploy models to edge and data center devices running Neuware runtime.
  • Integrate ML workflows with MLU-specific acceleration features.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of BANGPy and Neuware for development and deployment.
  • Guided exercises focused on optimization, integration, and testing.

Course Customization Options

  • To request a customized training for this course based on your Cambricon device model or use case, please contact us to arrange.
Read more...

Administration of CUDA

 35 Hours

This instructor-led, live training in New Jersey (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...

GPU Programming with OpenCL

 28 Hours

This instructor-led, live training in New Jersey (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...

OpenSCAD: Introduction to 3D Modeling

 21 Hours

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

Autodesk Fusion 360

 21 Hours

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

Graphic techniques (Adobe Photoshop, Corel Draw)

 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
Read more...

Adobe LiveCycle Designer

 14 Hours

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

Affinity Designer

 14 Hours

This course is perfect for those who want to start their graphic design journey using Affinity Designer, one of the most popular and versatile vector graphics programs. If you are new to computer graphics and are looking for a solid foundation, this course will help you master the basic features and tools that are essential for creating professional designs, step by step.

During the course:

You will learn how to navigate the Affinity Designer interface, which will allow you to use its features with ease.

You will learn the basic tools for drawing and editing shapes, which will allow you to create your own illustrations and graphics.

You will understand how to work with layers and how to use colors and text in your designs.

You will master the basics of exporting your designs to different formats, ready for printing or publishing online.

After completing the course, you will be able to create simple graphics, logos, posters, and other visual materials using Affinity Designer tools. The course will provide you with a solid foundation that will allow you to further develop your graphic design skills.

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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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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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CorelDraw Rozszerzony

 21 Hours

During the 3-day training, participants will learn some history of the theory and guidelines transformed into sample projects:

"Tracing" 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 compound 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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GPU Programming with CUDA and Python

 14 Hours

This instructor-led, live training in New Jersey (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.
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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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Inkscape

 14 Hours

This course demonstrates through hands-on practice the fundamentals and applications of Inkscape.

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Learning Maya

 14 Hours

This instructor-led, live training in New Jersey (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.
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NVIDIA GPU Programming - Extended

 21 Hours

This instructor-led, live training course in New Jersey 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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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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Pixar USD (Universal Scene Description) Fundamentals

 7 Hours

This instructor-led, live training in New Jersey (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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Graphic techniques (Adobe Photoshop, Adobe Illustrator)

 28 Hours

Graphics programs Adobe is 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 Jest 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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Testimonials (5)

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

Learning about the software

Peter - Coleg Cambria

Course - Blender: 3D Modeling Fundamentals

The dynamics.

Miguel Angel Hernandez Cardenas - KNOW COACHING HOW S.C.

Course - Adobe LiveCycle Designer

Machine Translated

Trainers energy and humor.

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

Course - NVIDIA GPU Programming - Extended

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

Upcoming Courses

FreeCad: Getting Started with Parametric Modeling

2025-09-29 9:30 am
21 hours
Totowa, NJ – Regus at Riverview Drive
$ 3041 (Online)
$ 3041 (Classroom)

Autodesk Fusion 360

2025-10-13 9:30 am
21 hours
Princeton, NJ – Regus at Overlook Business Center
$ 4054 (Online)
$ 4054 (Classroom)

Cambricon MLU Development with BANGPy and Neuware

2025-10-27 9:30 am
21 hours
Totowa, NJ – Regus at Riverview Drive
$ 4054 (Online)
$ 4054 (Classroom)

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