NobleProg delivers specialized Computer Graphics training in Leon, a hub of industrial and manufacturing excellence. Professionals in this region benefit from expert-led courses designed to enhance technical skills and drive innovation within the local business community.
Whether you prefer online or onsite settings, these instructor-led live Computer Graphics training courses use interactive discussions and hands-on practice to teach the core principles of the field.
Computer Graphics training is offered as either "online live training" or "onsite live training". Online live training (also known as "remote live training") is conducted through an interactive remote desktop. Onsite live training can take place at your customer premises in Leon or at NobleProg corporate training centers in Leon.
NobleProg -- Your Local Training Provider
Leon - Torre San Mateo
Blvd. Campestre 2502 , Leòn, Mexico
Located in the Golden Zone of Leon Gto.
By public bus
León's public transport is the SIT/Optibús system. The city publishes current route and timetable information through its Mobility Department.
From León Centro: a practical option is to travel toward Terminal San Jerónimo, then continue toward the Campestre area.
Blvd. Campestre is served by local routes; for example, route L-02 runs along Boulevard Campestre and connects with Centro Histórico and San Jerónimo.
For the final part, you may need a short walk from the closest stop to No. 2502.
This instructor-led training in Leon helps intermediate AI engineers construct and optimize neural network models by utilizing the Huawei Ascend platform and the CANN toolkit. Learners will configure their environments, develop applications using MindSpore, and execute deployments in edge or cloud settings.
This instructor-led live session in Leon offers an in-depth exploration of Huawei's AI stack, bridging the gap between the CANN SDK and the MindSpore framework. It is tailored to assist beginners and intermediate professionals in grasping how these components integrate within Ascend hardware to enhance lifecycle management and deployment strategies.
This instructor-led live training in Leon (online or on-site) is designed for beginner to intermediate developers who want 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.
This instructor-led training in Leon covers deploying and optimizing CV and NLP models using the CANN SDK for Ascend hardware. Participants will learn to convert models, integrate them into live pipelines, and enhance inference performance for real-time detection and analysis.
This instructor-led, live training in Leon (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.
This live, instructor-led training in Leon empowers advanced developers to build, deploy, and optimize custom AI operators. Learners will gain mastery over CANN TIK and Apache TVM integration, enabling advanced scheduling and optimization on Huawei Ascend hardware to achieve real-world performance improvements.
This instructor-led, live training in Leon (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.
This live, instructor-led training in Leon explores CloudMatrix for scalable AI inference. Master the deployment, optimization, and monitoring of models using CANN and MindSpore. Practical exercises address packaging, conversion, serving, and performance tuning for both real-time and batch workloads.
This instructor-led, live training in Leon (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.
This instructor-led live training in Leon explores the essential principles and practical skills required for deploying AI models on Ascend edge devices using the CANN toolkit. It focuses on building proficiency in compiling, optimizing, and managing AI workloads in resource-constrained environments.
This instructor-led, live training in Leon (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.
This instructor-led, live training in Leon (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.
This live, instructor-led training in Leon (online or in-person) 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.
This live session in Leon provides an introduction to the CANN toolkit for AI framework developers. Participants will learn to configure environments, transform models, and launch applications on Ascend hardware using MindSpore, TensorFlow, or PyTorch, encompassing the entire workflow from training to inference.
Enhance AI workloads on Ascend, Biren, and Cambricon through this hands-on training in Leon. Master the skills to benchmark models, uncover bottlenecks, and execute graph, kernel, and operator-level optimizations. Fine-tune deployment pipelines to improve throughput and latency across these premier platforms.
This instructor-led, live training in Leon (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.
Boost neural network inference performance on Ascend AI processors through this advanced, instructor-led training in Leon. Dive into CANN's runtime architecture and utilize the Graph Engine, TIK, and TVM to master profiling, custom operator creation, and the resolution of memory bottlenecks.
Adapt CUDA applications to Chinese GPU architectures like Huawei Ascend and Biren in Leon. This live-led course assists advanced developers in code translation and performance refinement, including practical labs for migrating CUDA codebases to new SDKs.
This instructor-led, live training in Leon (online or onsite) targets developers with beginner to intermediate skills who wish to use CUDA to program NVIDIA GPUs and leverage their parallel processing capabilities.
By the end of this training, participants will be able to:
Establish a development environment that includes the CUDA Toolkit, an NVIDIA GPU, and Visual Studio Code.
Develop a basic CUDA program that performs vector addition on the GPU and retrieves the 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 synchronize threads.
Write kernels in CUDA C/C++ that execute on the GPU and manipulate data.
Utilize CUDA built-in functions, variables, and libraries to perform common tasks and operations.
Optimize data transfers and memory access by using CUDA memory spaces, such as global, shared, constant, and local memory.
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.
Optimize CUDA programs using techniques such as coalescing, caching, prefetching, and profiling.
This live, instructor-led training in Leon delves into the essentials of Psdto3D101 for lenticular design. Through interactive discussions and hands-on practice, participants will learn to generate 3D, flip, morph, and motion effects, while optimizing files for high-quality professional printing.
This live session in Leon guides intermediate AI developers in deploying models on Ascend processors via the CANN toolkit. Participants will learn to convert frameworks like PyTorch and TensorFlow, optimize performance, and resolve issues to achieve efficient edge and cloud inference.
This live training in Leon empowers developers with the essential skills to program and optimize applications on Biren AI accelerators. Participants will explore the underlying GPU architecture, set up the SDK, and effectively translate CUDA code to Biren. The course places a strong emphasis on performance tuning and debugging methodologies.
This instructor-led live training in Leon (online or onsite) is designed for artists, game developers, or complete beginners who wish to use Blender to create 3D models for interactive applications, video games, animated films, and other media.
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.
This live, instructor-led training in Leon empowers developers with the expertise needed to build and deploy AI models using BANGPy and Neuware on Cambricon MLUs. Attendees will learn to configure their environments, develop optimized models, and integrate MLU acceleration into edge and data center applications.
This instructor-led, live training in Leon (online or onsite) is designed for beginner-level system administrators and IT professionals who want 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.
This live, instructor-led training in Leon (delivered online or in-person) targets developers from beginner to intermediate levels who want to use OpenCL to program heterogeneous devices and leverage their parallel processing power.
By the end of this course, participants will be capable of:
Setting up a development environment that integrates the OpenCL SDK, OpenCL-supported devices, and Visual Studio Code.
Creating a basic OpenCL program to perform vector addition on the device and retrieve results from device memory.
Employing the OpenCL API to query device information and create contexts, command queues, buffers, kernels, and events.
Writing kernels in OpenCL C that run on the device and manipulate data.
Utilizing OpenCL built-in functions, extensions, and libraries for common tasks and operations.
Applying OpenCL host and device memory models to optimize data transfers and memory access.
Controlling work-items, work-groups, and ND-ranges via the OpenCL execution model.
Debugging and testing OpenCL programs with tools like CodeXL, Intel VTune, and NVIDIA Nsight.
Optimizing OpenCL programs using techniques such as vectorization, loop unrolling, local memory usage, and profiling.
This instructor-led, live training in Leon (available online or on-site) is aimed at beginner to advanced 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.
This instructor-led, live training in Leon (online or onsite) is designed for C++ developers who wish to use CUDA to accelerate applications, write high-performance GPU kernels, and leverage parallel algorithm libraries for scientific computing, data processing, and machine learning workloads.
This instructor-led, live training in Leon (online or onsite) is aimed at C/C++ developers who wish to use CUDA to accelerate compute-intensive applications, including data processing, scientific simulations, machine learning workloads, and image processing pipelines.
This instructor-led, live training in Leon (online or on-site) is targeted at software developers, data analysts, and technical professionals who aim to use TensorFlow 2.x and Keras to build, train, and deploy deep learning models for computer vision, natural language processing, and multimodal applications.
Participate in this hands-on training in Leon to gain proficiency with FreeCAD, a powerful open-source parametric 3D modeler. Discover how to design practical objects for construction or 3D printing, export to standards like STEP and STL, and streamline workflows using Python. This course is ideal for designers and engineers.
This instructor-led, live training course in Leon provides guidance on programming GPUs for parallel computing, utilizing various platforms, leveraging the CUDA platform and its features, and implementing diverse optimization techniques with CUDA. Applications covered include deep learning, analytics, image processing, and engineering tasks.
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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.
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