Online or onsite, instructor-led live AI Engineering training courses demonstrate through interactive hands-on practice how to apply artificial intelligence techniques to solve complex problems in various domains.
AI Engineering training is available as "online live training" or "on-site live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live AI Engineering trainings in Port Moody can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Port Moody - Brew Street
220 Brew Street, Port Moody, Canada, V3H 0H6
These conference rooms are located in a modern office space in a prestigious community. Two local bus stops and the Inlet Centre Station situated near the workspace provide services around the local area and wider Vancouver. Less than 10-minutes to lunch at one of Suter Brook Village’s popular restaurants.
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.
This instructor-led, live training in Port Moody (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and software developers who wish to build intelligent applications using AI and ML.
By the end of this training, participants will be able to:
Understand the advanced concepts and technologies behind AI and ML.
Analyze and visualize data to inform AI/ML model development.
Build, train, and deploy AI/ML models effectively.
Create intelligent applications that can solve real-world problems.
Evaluate the ethical implications of AI applications in various industries.
This instructor-led, live training in Port Moody (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.
By the end of this training, participants will be able to:
Implement and analyze deep learning architectures.
Apply machine learning at scale in a distributed computing environment.
Design and execute reinforcement learning models for decision-making.
Develop sophisticated NLP systems for language understanding.
Utilize computer vision techniques for image and video analysis.
Address ethical considerations in the development and deployment of AI systems.
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.
This instructor-led, live training in Port Moody (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.
By the end of this training, participants will be able to:
Understand the core concepts and technologies behind AI and machine learning.
Implement basic machine learning models using TensorFlow and PyTorch.
Apply AI techniques to solve practical problems in software development.
Manage and maintain AI projects using best practices in AI engineering.
Recognize the ethical implications and responsibilities involved in developing AI systems.
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.
This instructor-led, live training in Port Moody (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.
By the end of this training, participants will be able to:
Understand the history, principles, and impact of artificial intelligence.
Identify and apply different machine learning algorithms.
Manage and analyze data effectively for AI applications.
Recognize the practical applications and limitations of AI in different sectors.
Discuss the ethical considerations and societal implications of AI technology.
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Testimonials (1)
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
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