GPU Programming on Biren AI Accelerators Training Course

CloudMatrix is Huawei’s unified artificial intelligence (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 for government applications.

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

• Utilize CloudMatrix for model packaging, deployment, and serving in public sector workflows.
• Convert and optimize models for Ascend chipsets to enhance performance in government environments.
• Establish pipelines for real-time and batch inference tasks aligned with governmental operations.
• Monitor deployments and fine-tune performance in production settings to ensure compliance with public sector standards.

Format of the Course

• Interactive lecture and discussion focused on government-specific use cases.
• Hands-on use of CloudMatrix with real deployment scenarios relevant to public sector applications.
• Guided exercises centered on conversion, optimization, and scaling for government workflows.

Course Customization Options

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

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner to intermediate AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices for government.

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

• Comprehend the core concepts and technologies behind AI and machine learning.
• Implement basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to address practical challenges in software development for government.
• Manage and maintain AI projects using best practices in AI engineering for government.
• Recognize the ethical implications and responsibilities associated with developing AI systems for government.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate to advanced artificial intelligence (AI) professionals and software developers who are interested in building intelligent applications using AI and machine learning (ML) techniques.

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

• Comprehend the advanced principles and technologies underlying AI and ML.
• Analyze and visualize data to support the development of AI/ML models.
• Construct, train, and deploy AI/ML models efficiently.
• Develop intelligent applications capable of addressing real-world challenges.
• Assess the ethical implications of AI applications across various sectors, including those for government.

Chinese GPU architectures, including Huawei Ascend, Biren, and Cambricon MLUs, offer CUDA alternatives specifically designed for the 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 for government use.

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 metrics and identify optimization opportunities across different platforms.
• Address practical challenges in supporting and deploying applications across multiple architectures.

Format of the Course

• Interactive lecture and discussion sessions.
• 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 specific platform or CUDA project, please contact us to arrange.

This instructor-led, live training is aimed at government professionals who want to ensure their organization complies with regulations, minimizes risks, and empowers the workforce to leverage AI safely and ethically.

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

• Understand how AI systems function and their potential applications for government.
• Identify risks and limitations associated with AI systems in a public sector context.
• Adhere to relevant legal and ethical requirements for government operations.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and their application across various industries for government.

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

• Understand the history, principles, and impact of artificial intelligence in public sector contexts.
• Identify and apply different machine learning algorithms suitable for government use cases.
• Manage and analyze data effectively to support AI applications in governmental workflows.
• Recognize the practical applications and limitations of AI technology within different sectors, including those relevant to government operations.
• Discuss the ethical considerations and societal implications of AI technology, particularly as they pertain to government responsibilities and public trust.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate to advanced data scientists, engineers, and artificial intelligence practitioners who wish to master the complexities of intelligent applications and leverage them to address sophisticated, real-world challenges for government.

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

• Implement and evaluate deep learning architectures.
• Apply machine learning at scale within a distributed computing environment.
• Design and execute reinforcement learning models for decision-making processes.
• Develop advanced natural language processing systems for enhanced language understanding.
• Utilize computer vision techniques for comprehensive image and video analysis.
• Address ethical considerations in the development and deployment of AI systems for government.

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:

• Evaluate models on Ascend, Biren, and Cambricon platforms.
• Identify system bottlenecks and memory/compute inefficiencies.
• Implement graph-level, kernel-level, and operator-level optimizations.
• Adjust deployment pipelines to enhance throughput and reduce latency.

Format of the Course

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

Course Customization Options

• To request a customized training for government based on your specific performance environment or model type, please contact us to arrange.

Artificial Intelligence (AI) is quickly becoming a cornerstone of modern product management, fundamentally changing how we identify customer needs, define solutions, and make decisions. Just as electricity transformed industry, AI is reshaping the processes of building, validating, and evolving products.

This instructor-led, live training (online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who seek to understand how AI can enhance product ownership and strengthen decision-making in their roles for government.

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

• Understand the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner, including the new Orchestrator stance, and leverage AI to enhance each role — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators with specialized skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery while maintaining genuine customer engagement.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to refine and visualize narratives.
• Use Generative AI tools to expedite prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by utilizing AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (such as emails, stakeholder management, note-taking) using AI to focus on strategic and creative work.
• Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption for government.
• Identify and design valuable AI use cases tailored to the specific product and organizational context.
• Explore and experiment with approximately 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.