GPU Programming on Biren AI Accelerators Training Course

CloudMatrix serves as a unified platform for AI development and deployment, engineered to support scalable, production-grade inference pipelines for government use cases.

This live training, delivered online or onsite, is designed for professionals with beginner to intermediate experience who intend to deploy and monitor AI models using CloudMatrix, with integration of CANN and MindSpore.

Upon completion, participants will be equipped to:

• Leverage CloudMatrix for model packaging, deployment, and service delivery.
• Convert and optimize models for compatibility with Ascend chipsets.
• Configure pipelines for both real-time and batch inference operations.
• Monitor deployments and optimize performance in production environments.

Course Structure

• Interactive instruction and collaborative discussion.
• Practical application of CloudMatrix through real-world deployment scenarios.
• Structured exercises emphasizing conversion, optimization, and scalability.

Customization Options

• For tailored training aligned with specific AI infrastructure or cloud environments, please contact the relevant authority for arrangements.

This instructor-led, live training in US (delivered online or onsite) is designed for AI engineers and software developers at beginner to intermediate levels seeking to establish a robust foundation in AI engineering principles and professional practices.

Upon successful completion of this training, participants will be equipped to:

• Demonstrate a comprehensive understanding of the core concepts and technologies underlying AI and machine learning.
• Develop and implement foundational machine learning models utilizing TensorFlow and PyTorch.
• Apply AI methodologies to address practical operational challenges within software development environments.
• Administer and sustain AI initiatives by adhering to industry best practices in AI engineering.
• Identify and address the ethical implications and professional responsibilities associated with the development of AI systems.

This two-day, hands-on program empowers participants with the practical skills necessary to utilize Generative AI tools effectively, securely, and consistently within technical and operational domains. The curriculum is centered on transforming AI into a dependable daily assistant for the drafting and refinement of documentation, the structuring of requirements, the acceleration of analysis and reporting, the support of problem-solving efforts, and the optimization of cross-functional communication. Participants will acquire established prompting patterns, verification techniques to mitigate errors and "hallucinations," and lightweight governance practices to safeguard confidential information and intellectual property. The course is structured to yield immediately applicable templates, workflows, and a repeatable methodology for AI-assisted work within public sector environments.

This instructor-led, live training in US (delivered online or on-site) is intended for intermediate to advanced AI professionals and software developers aiming to construct intelligent applications using AI and ML for government.

Upon completion, participants will demonstrate the ability to:

• Master advanced concepts and technical frameworks underlying AI and ML.
• Interpret and visualize data to guide AI/ML model creation.
• Construct, train, and implement AI/ML models with efficacy.
• Engineer intelligent applications capable of addressing operational challenges.
• Assess the ethical implications of AI utilization across diverse sectors.

Chinese GPU architectures, including Huawei Ascend, Biren, and Cambricon MLUs, provide viable CUDA alternatives designed for local AI and high-performance computing markets.

This instructor-led, live training program (available online or on-site) is intended for advanced GPU developers and infrastructure specialists seeking to migrate and optimize existing CUDA applications for deployment on Chinese hardware platforms for government use.

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

• Assess the compatibility of existing CUDA workloads with domestic chip alternatives.
• Execute the porting of CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
• Analyze performance metrics and identify critical optimization opportunities across different platforms.
• Resolve operational challenges associated with cross-architecture support and secure deployment.

Course Delivery Format

• Interactive instruction facilitated by structured discussions.
• Practical laboratory sessions focused on code translation and performance benchmarking.
• Supervised exercises emphasizing multi-GPU adaptation and integration strategies.

Customization Options

• To request a tailored training program aligned with specific platform requirements or CUDA projects, please contact the provider to coordinate arrangements.

This live, instructor-led training is designed to ensure that your organization maintains regulatory compliance, mitigates operational risks, and empowers its workforce to deploy AI technologies with ethical precision and safety.

By the conclusion of this session, participants will be able to:

• Understand the functional architecture and potential applications of AI systems
• Identify specific risks and limitations inherent in AI technologies
• Demonstrate adherence to relevant legal frameworks and ethical guidelines

This instructor-led, live training in US (online or onsite) is designed for entry-level IT professionals seeking to establish a foundational competence in intelligent applications and their utility within various industry sectors. This course is particularly relevant for government environments where such capabilities are increasingly deployed.

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

• Comprehend the historical context, core principles, and broader impact of artificial intelligence.
• Identify and implement diverse machine learning algorithms for practical use cases.
• Effectively manage and analyze data to support artificial intelligence initiatives for government operations.
• Evaluate the practical applications and inherent limitations of AI across different sectors.
• Assess the ethical frameworks and societal consequences associated with AI adoption.

This instructor-led, live training in US (online or onsite) is intended for intermediate to advanced data scientists, engineers, and AI practitioners aiming to proficiently manage the intricacies of intelligent applications to address complex operational challenges.

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

• Implementing and analyzing deep learning architectural designs.
• Applying machine learning at scale in distributed computing contexts.
• Designing and executing reinforcement learning models for decision support.
• Building sophisticated NLP systems for language interpretation.
• Utilizing computer vision methods for image and video examination.
• Addressing ethical and governance considerations in AI system deployment.

Ascend, Biren, and Cambricon represent premier AI hardware platforms in China, each providing distinct acceleration and profiling capabilities for production-scale AI workloads.

This instructor-led, live training, available online or onsite, is designed for advanced AI infrastructure and performance engineers seeking to optimize model inference and training workflows across multiple Chinese AI chip platforms.

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

• Conduct comprehensive benchmarking of models on Ascend, Biren, and Cambricon platforms.
• Identify system bottlenecks and inefficiencies in memory and compute resources.
• Apply optimization strategies at the graph, kernel, and operator levels.
• Tune deployment pipelines to enhance throughput and reduce latency for government operations.

Course Delivery Format

• Interactive lectures facilitated by expert discussion.
• Hands-on application of profiling and optimization tools specific to each platform.
• Guided exercises emphasizing practical tuning scenarios relevant to public sector needs.

Customization Opportunities

• To arrange a customized training session tailored to your specific performance environment or model type, please contact us to establish a schedule.

Artificial Intelligence is increasingly becoming the foundational element of contemporary product management—transforming methodologies for identifying customer requirements, defining solutions, and executing decisions. Similar to the industrial impact of electrification, AI is fundamentally altering the construction, validation, and evolution of products.

This live, instructor-led program (available online or in-person) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to enhance product ownership capabilities and strengthen decision-making processes for government and public sector applications through the understanding of AI's potential.

Upon completion, participants will be able to:

• Comprehend the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven recommended stances of a Product Owner, including the Orchestrator stance, and leverage AI to reinforce roles such as Visionary, Experimenter, or Customer Representative.
• Proficiency in effective prompting and managing AI tools as specialized intelligent collaborators.
• Enhance customer understanding and develop AI-assisted personas for hypothesis testing and discovery, while preserving direct customer engagement.
• Formulate and communicate clear product visions using structured methodologies, such as the 3x3 Framework, utilizing AI to refine and visualize narratives.
• Employ Generative AI tools to expedite prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
• Facilitate product decisions by using AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Automate or delegate routine administrative tasks, such as correspondence and stakeholder coordination, to concentrate on strategic and creative endeavors.
• Oversee discussions on AI ethics, bias, and data security to ensure responsible and sustainable adoption in government contexts.
• Identify and design valuable AI use cases aligned with specific product and organizational needs.
• Investigate and experiment with approximately 20 distinct AI tools and models, ranging from productivity assistants to generative video, image, and coding solutions.