GPU Programming on Biren AI Accelerators Training Course

Huawei’s CloudMatrix serves as a consolidated platform for the development and deployment of artificial intelligence solutions, engineered to facilitate scalable, enterprise-ready inference workflows.

This instructor-led program, available in online or onsite formats, targets beginner to intermediate-level practitioners seeking to deploy and monitor AI models via the CloudMatrix environment, utilizing CANN and MindSpore integration capabilities for government and public sector applications.

Upon completion of this curriculum, learners will be equipped to:

• Utilize CloudMatrix to package, deploy, and serve models effectively.
• Convert and optimize workloads for Ascend hardware architectures.
• Configure pipelines to support both real-time and batch inference operations.
• Oversee deployments and optimize performance within production environments.

Training Methodology

• Engaging lectures coupled with guided discussions.
• Practical application of CloudMatrix through real-world deployment scenarios.
• Structured exercises emphasizing model conversion, optimization, and scalability.

Customization Availability

• Organizations requiring tailored training aligned with their specific AI infrastructure or cloud environments should contact the administration to schedule.

This intensive two-day workshop provides practitioners with the essential competencies needed to leverage Generative AI applications within federal technical and operational environments. The curriculum emphasizes the integration of artificial intelligence as a dependable resource for authoring, refining documentation, organizing requirements, expediting analysis and reporting, facilitating complex problem resolution, and enhancing cross-departmental collaboration. Attendees will acquire standard prompting methodologies, verification procedures to mitigate inaccuracies and hallucinations, and streamlined governance protocols designed to safeguard sensitive data and intellectual property. This course aims to deliver immediately actionable templates, standardized workflows, and a repeatable framework for AI-assisted work that meets the rigorous standards for government operations.

This instructor-led, live training in US (online or onsite) is designed for intermediate to advanced AI professionals and software developers seeking to develop intelligent applications using artificial intelligence (AI) and machine learning (ML). Tailored for government audiences, the course supports workforce development initiatives aligned with modern technological requirements for government entities.

Upon completion of this training, participants will be able to:

• Demonstrate proficiency in advanced AI and ML concepts and technologies.
• 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 complex operational challenges.
• Assess the ethical implications of AI applications across diverse industry sectors.

Domestic graphical processing unit (GPU) designs, including those from Huawei Ascend, Biren, and Cambricon, provide viable solutions for CUDA-based workloads within regional artificial intelligence and high-performance computing sectors. This facilitated instruction, available via digital or physical venues, targets experienced GPU developers and infrastructure analysts seeking to transition and enhance current CUDA implementations for integration with Chinese silicon platforms.

Upon completion of this program, learners will be equipped to:

• Assess the interoperability of legacy CUDA tasks with domestic semiconductor options.
• Translate CUDA source code into Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
• Analyze performance metrics and locate optimization opportunities across diverse architectures.

Navigate operational hurdles associated with cross-platform compatibility and system deployment.

Course Structure

• Seminar-based instruction coupled with interactive dialogue.
• Practical laboratory sessions involving code migration and benchmarking.
• Instructor-supervised activities concentrating on multi-GPU adaptation techniques.

Training Modifications

• To arrange a customized learning experience aligned with your specific platform or CUDA initiative, please contact our office. This curriculum is designed for government use and other professional audiences seeking robust computational strategies for government environments.

This guided, instructor-led training program offered US (via remote or in-person formats) is designed for entry-level information technology personnel seeking to establish a foundational comprehension of intelligent applications and their deployment across diverse industry sectors.

Upon completion of this curriculum, participants will be capable of:

• Describing the historical context, core principles, and influence of artificial intelligence.
• Selecting and implementing appropriate machine learning algorithms.
• Performing effective data management and analysis for AI-driven solutions.
• Evaluating real-world applications and constraints of artificial intelligence within various fields.
• Addressing ethical considerations and societal impacts associated with AI technologies, ensuring alignment with government standards for responsible innovation.

This instructor-led, live training in US (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.

Ascend, Biren, and Cambricon represent premier artificial intelligence hardware solutions within China, providing distinct acceleration and profiling capabilities designed for large-scale AI operations. This program is specifically tailored for government agencies seeking robust technical infrastructure support. This instructor-led session, available in online or on-site formats, targets advanced AI infrastructure specialists focused on enhancing model inference and training processes across diverse Chinese semiconductor architectures.

Upon completion of this course, participants will demonstrate proficiency in:

• Evaluating model performance on Ascend, Biren, and Cambricon systems.
• Detecting system bottlenecks and analyzing memory or compute inefficiencies.
• Implementing optimizations at the graph, kernel, and operator levels.
• Refining deployment pipelines to enhance throughput and reduce latency.

Course Structure

• Interactive instruction facilitated by expert lecturers.
• Practical application of profiling and optimization utilities across all platforms.
• Supervised exercises centered on real-world tuning scenarios.

Customization Opportunities

• To arrange a customized training program aligned with your specific performance requirements or model types, please contact our support team to schedule arrangements tailored for government needs.

Artificial intelligence is emerging as a critical component of contemporary product management, fundamentally altering methodologies for identifying stakeholder requirements, designing solutions, and executing strategic decisions. Much like the electrification of industry transformed operational capabilities, AI technologies are redefining the processes for constructing, validating, and iterating on products.

This instructor-led, live training program, available in online or onsite formats, targets Product Owners, Scrum Masters, and Agile Coaches seeking to comprehend how artificial intelligence can augment product ownership responsibilities and improve decision-making efficacy. This curriculum is specifically designed for government audiences requiring robust technical integration strategies.

Upon completion of this training, participants will demonstrate the ability to:

• Articulate the core principles of artificial intelligence and distinguish between conventional AI applications and Generative AI (GenAI) technologies.
• Implement the seven recognized Product Owner stances, including the emerging Orchestrator role, and leverage AI to reinforce each position, such as Visionary, Experimenter, or Customer Representative.
• Execute advanced prompting techniques and utilize AI systems as specialized, intelligent collaborators within their workflows.
• Enhance stakeholder analysis by developing AI-assisted personas for hypothesis testing and discovery phases while preserving direct engagement with end users.
• Formulate and articulate a coherent product vision utilizing structured methodologies, such as the 3x3 Framework, employing AI to construct and visualize supporting narratives.
• Accelerate prototyping and hypothesis validation processes through Generative AI tools, including the creation of mock-ups and conceptual designs.
• Inform product strategy by utilizing AI capabilities to analyze, prioritize, and assess feature sets based on value proposition, technical feasibility, and user impact.
• Streamline routine operational duties, such as correspondence, stakeholder coordination, and documentation, through AI automation, thereby enabling focus on strategic and creative initiatives.
• Facilitate discourse regarding AI ethics, algorithmic bias, and data security protocols to ensure responsible and sustainable technology adoption.
• Identify and design high-value AI use cases aligned with specific product requirements and organizational objectives.
• Investigate and test approximately 20 distinct AI tools and models, ranging from productivity assistants and prototyping platforms to generative media and coding solutions.