NobleProg delivers high-quality CANN training courses in Berlin, the dynamic heart of Germany's tech and innovation sector. Participants benefit from expert-led instruction tailored to the professional needs of the capital's diverse industry landscape. Join our Berlin-based programs to enhance your skills with hands-on learning experiences in a world-class urban environment.
Beneath the surface of high-performance AI systems lies CANN (Compute Architecture for Neural Networks)—the essential software layer driving Huawei’s Ascend chips and the expertise behind them.
These instructor-led courses offer a deep dive into the Compute Architecture for Neural Networks, detailing how CANN connects algorithms with silicon through techniques such as graph optimization, kernel fusion, and hardware-aware scheduling.
Whether you are developing inference engines, optimizing custom operators, or adapting deep learning models for edge deployment, these sessions provide practical insights into achieving peak performance on Ascend processors.
Participate in live online training via an interactive remote desktop, or attend onsite sessions in Berlin—either at your facility or a NobleProg training center—where labs replicate production-grade acceleration and deployment workflows.
Also referred to as Ascend CANN or Huawei CANN, this training empowers developers, engineers, and AI infrastructure teams to fully leverage the potential of hardware-aware intelligence.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led training in Berlin empowers intermediate AI engineers to construct and refine neural network models using the Huawei Ascend platform and CANN toolkit. Learners will configure their environments, develop applications with MindSpore, and deploy solutions to edge or cloud environments.
This instructor-led live session in Berlin delves into Huawei's AI stack, covering the spectrum from the CANN SDK to the MindSpore framework. It assists beginners and intermediate professionals in understanding how these elements converge on Ascend hardware to manage the AI lifecycle and deployment.
This instructor-led training in Berlin focuses on the deployment and optimization of CV and NLP models via the CANN SDK for Ascend hardware. Attendees will gain skills in model conversion, pipeline integration, and performance enhancement for real-time detection and analysis tasks.
This instructor-led live training in Berlin empowers advanced developers to design, deploy, and optimize custom AI operators. Through mastery of CANN TIK and Apache TVM integration, participants will achieve sophisticated optimization and scheduling on Huawei Ascend hardware, ensuring robust real-world performance.
This live, instructor-led training on Berlin delves into the key principles and practical basics of running AI models on Ascend edge devices via the CANN toolkit, enabling participants to develop practical skills in compiling, optimizing, and managing resources in constrained environments.
This live training in Berlin provides an introductory guide to the CANN toolkit for AI framework developers. It covers the process of setting up environments, converting models, and deploying applications on Ascend hardware using MindSpore, TensorFlow, or PyTorch, ensuring a comprehensive understanding of the workflow from training to inference.
Elevate neural network inference performance on Ascend AI processors through this advanced, instructor-led course in Berlin. Delve 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.
This live training in Berlin assists intermediate AI developers in deploying models on Ascend processors via the CANN toolkit. You will learn to convert frameworks like PyTorch and TensorFlow, enhance performance, and troubleshoot issues for efficient edge and cloud inference setups.
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