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.
• Convert and optimize models for Ascend chipsets.
• Establish pipelines for real-time and batch inference tasks.
• Monitor deployments and adjust performance in production settings.

Format of the Course

• Interactive lectures and discussions.
• Hands-on use of CloudMatrix with practical deployment scenarios.
• Guided exercises focused on conversion, optimization, and scaling.

Course Customization Options

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

This instructor-led, live training (online or onsite) is designed for government AI engineers and software developers at beginner to intermediate levels 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 for government. - Manage and maintain AI projects using best practices in AI engineering. - Recognize the ethical implications and responsibilities involved in developing AI systems.

This two-day, hands-on program equips participants with practical skills to effectively, safely, and consistently utilize Generative AI tools in technical and operational tasks for government. The training emphasizes transforming AI into a reliable day-to-day assistant for drafting and refining documentation, structuring requirements, accelerating analysis and reporting, supporting problem-solving efforts, and enhancing cross-functional communication. Participants will learn proven prompting techniques, validation methods to minimize errors and "hallucinations," and lightweight governance practices to safeguard confidential information and intellectual property. The course is designed to produce immediately usable templates, workflows, and a repeatable approach to AI-assisted work for government.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced AI professionals and software developers who aim to develop intelligent applications using artificial intelligence (AI) and machine learning (ML). By the end of this training, participants will be able to: - Understand the advanced concepts and technologies underlying AI and ML. - Analyze and visualize data to support the development of AI/ML models. - Build, train, and deploy AI/ML models effectively. - Create intelligent applications capable of addressing real-world challenges. - Assess the ethical implications of AI applications across various sectors, ensuring compliance with public sector workflows, governance, and accountability for government.

Chinese GPU architectures, including Huawei Ascend, Biren, and Cambricon MLUs, provide viable alternatives to CUDA, specifically designed for the local AI and HPC markets.

This instructor-led, live training (online or onsite) is targeted at advanced-level GPU programmers and infrastructure specialists who are looking 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 the compatibility of current 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 lectures and discussions.
• Hands-on code translation and performance comparison labs.
• Guided exercises focusing on multi-GPU adaptation strategies.

Course Customization Options for Government

• 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 designed for government employees and other professionals who aim 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 operate and their potential applications. - Identify risks and limitations associated with AI systems. - Adhere to relevant legal and ethical requirements for government.

This instructor-led, live training (online or onsite) is designed for beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and their application across various industries, including those relevant to government. 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, particularly for government use. - Discuss the ethical considerations and societal implications of AI technology.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced data scientists, engineers, and artificial intelligence practitioners who aim to deepen their expertise in intelligent applications and apply these skills 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 within a distributed computing environment. - Design and execute reinforcement learning models for effective decision-making. - Develop sophisticated natural language processing systems for advanced 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. This training is tailored to align with public sector workflows, governance, and accountability, ensuring that participants are well-equipped to leverage AI technologies in a responsible and effective manner.

Ascend, Biren, and Cambricon are leading AI hardware platforms in China, each providing specialized acceleration and profiling tools for production-scale AI workloads.

This instructor-led, live training (available online or onsite) is designed for advanced-level AI infrastructure and performance engineers who seek 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 inefficiencies in memory and compute performance.
• Implement graph-level, kernel-level, and operator-level optimizations.
• Refine deployment pipelines to enhance throughput and reduce latency.

Format of the Course

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

Course Customization Options

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

Artificial Intelligence (AI) is rapidly becoming the cornerstone of modern product management, transforming how we identify customer needs, define solutions, and make decisions. Just as electricity revolutionized industry, AI is reshaping the way products are developed, validated, and evolved. This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who wish to understand how AI can enhance product ownership and strengthen decision-making processes. By the end of this training, participants will be able to: - Comprehend the fundamentals 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 by creating AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer engagement. - Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives. - Use Generative AI tools to accelerate 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 (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 and other sectors. - 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.