GPU Programming on Biren AI Accelerators Training Course

CloudMatrix, Huawei’s unified platform for AI development and deployment, enables scalable, production-grade inference pipelines.

This instructor-led live training, available online or on-site, targets beginner to intermediate AI professionals seeking to deploy and monitor AI models via CloudMatrix, integrating CANN and MindSpore.

Upon completing this training, participants will be able to:

• Leverage CloudMatrix for model packaging, deployment, and serving.
• Convert and optimize models for Ascend chipsets.
• Establish pipelines for both real-time and batch inference tasks.
• Monitor deployments and tune performance in production environments.

Course Format

• Interactive lectures and discussions.
• Practical application of CloudMatrix with real-world deployment scenarios.
• Guided exercises focusing on conversion, optimization, and scaling.

Customization Options

• For customized training aligned with your specific AI infrastructure or cloud environment, please reach out to arrange a session.

This live, instructor-led training in India (online or in-person) targets beginner to intermediate AI engineers and software developers who wish to acquire a foundational understanding of AI engineering principles and practices.

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

• Grasp the fundamental concepts and technologies underpinning AI and machine learning.
• Construct basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to address practical issues in software development.
• Oversee and sustain AI projects by adhering to industry best practices.
• Identify the ethical implications and responsibilities inherent in building AI systems.

This two-day, interactive program provides participants with practical skills to leverage Generative AI tools effectively, safely, and consistently in technical and operational contexts. The training emphasizes transforming AI into a dependable daily assistant for drafting and enhancing documentation, structuring requirements, accelerating analysis and reporting, supporting problem-solving, and streamlining cross-functional communication. Participants will learn proven prompting patterns, validation techniques to minimize errors and 'hallucinations,' and lightweight governance practices to safeguard confidential information and intellectual property. The course is designed to deliver immediately applicable templates, workflows, and a repeatable approach to AI-assisted work.

This instructor-led, live training in India (online or on-site) is designed for AI professionals and software developers at intermediate to advanced levels who aim to develop smart applications using AI and ML.

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

• Grasping the advanced concepts and technologies underpinning AI and ML.
• Analyzing and visualizing data to guide the development of AI/ML models.
• Effectively constructing, training, and deploying AI/ML models.
• Developing smart applications capable of addressing real-world challenges.
• Assessing the ethical implications of AI applications across different industries.

Chinese GPU architectures, including Huawei Ascend, Biren, and Cambricon MLUs, provide CUDA alternatives specifically designed for the local AI and High-Performance Computing (HPC) markets.

This instructor-led live training, available online or onsite, targets advanced GPU programmers and infrastructure specialists looking to migrate and optimize their existing CUDA applications for deployment on Chinese hardware platforms.

Upon completion 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 key optimization points across different platforms.
• Address practical challenges related to cross-architecture support and deployment.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs focused on code translation and performance comparison.
• Guided exercises emphasizing multi-GPU adaptation strategies.

Course Customization Options

• For customized training tailored to your specific platform or CUDA project, please contact us to arrange a session.

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

By the conclusion 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.

This instructor-led, live training in India (online or on-site) is designed for data scientists, engineers, and AI professionals ranging from intermediate to advanced levels who aim to master the intricacies of intelligent applications and utilize them to address challenging, real-world problems.

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

• Implementing and evaluating deep learning architectures.
• Applying machine learning techniques at scale within distributed computing environments.
• Designing and executing reinforcement learning models to facilitate decision-making.
• Developing advanced NLP systems for language comprehension.
• Employing computer vision methods for image and video analysis.
• Addressing ethical implications in the creation and deployment of AI systems.

Ascend, Biren, and Cambricon represent the forefront of AI hardware platforms in China, each providing distinct acceleration and profiling capabilities designed for large-scale AI workloads.

This instructor-led live training session (available online or onsite) is tailored for advanced-level AI infrastructure and performance engineers looking to enhance model inference and training workflows across various Chinese AI chip architectures.

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

• Evaluate and benchmark models across Ascend, Biren, and Cambricon environments.
• Pinpoint system bottlenecks and identify inefficiencies in memory and compute resources.
• Implement optimizations at the graph, kernel, and operator levels.
• Optimize deployment pipelines to achieve superior throughput and reduced latency.

Training Format

• Interactive lectures coupled with open discussions.
• Practical application of profiling and optimization tools on each specific platform.
• Guided exercises centered on real-world tuning scenarios.

Customization Options

• For tailored training sessions based on your specific performance environment or model requirements, please reach out to us to coordinate.

Artificial Intelligence is rapidly emerging as the bedrock of contemporary product management, fundamentally altering how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity transformed industry, AI is reshaping the lifecycle of products—how they are constructed, validated, and iterated.

This live, instructor-led training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can amplify product ownership and fortify decision-making processes.

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

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven preferred stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to enhance each role—such as Visionary, Experimenter, or Customer Representative.
• Excel in effective prompting techniques, viewing AI tools as intelligent collaborators with distinct capabilities.
• Deepen customer insights by creating AI-supported personas for hypothesis testing and discovery, while preserving genuine customer interactions.
• Formulate and articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to craft and visualize narratives.
• Accelerate prototyping and hypothesis testing with Generative AI tools, such as generating mock-ups or refining product concepts.
• Inform product decisions by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (such as email management, stakeholder coordination, and note-taking) via AI, allowing focus on strategic and creative endeavors.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI adoption.
• Identify and design high-value AI use cases tailored to specific product and organizational contexts.
• Explore and experiment with approximately 20 different AI tools and models—ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.