GPU Programming on Biren AI Accelerators Training Course

This live, instructor-led training in Mexico explores CloudMatrix for scalable AI inference. Master the deployment, optimization, and monitoring of models using CANN and MindSpore. Practical exercises address packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This instructor-led, live training in Mexico (available online or onsite) is designed for beginner to intermediate-level AI engineers and software developers seeking a foundational understanding of AI engineering principles and practices.

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

• Grasp the core concepts and technologies driving AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve practical challenges in software development.
• Manage and maintain AI projects by adhering to best practices in AI engineering.
• Identify the ethical implications and responsibilities associated with developing AI systems.

This immersive two-day program provides hands-on skills to leverage Generative AI tools effectively, securely, and consistently within technical and operational settings. The training emphasizes using AI as a trustworthy daily assistant for creating and refining documentation, organizing requirements, accelerating analysis and reporting, aiding problem-solving, and facilitating cross-functional dialogue. Learners will explore established prompting patterns, validation techniques to minimize errors and "hallucinations," and streamlined governance practices to secure confidential information and intellectual property. The course aims to equip participants with immediately applicable templates, workflows, and a repeatable framework for AI-assisted tasks.

This instructor-led, live training in Mexico (online or onsite) is designed for AI professionals and software developers at an intermediate to advanced level who want to create intelligent applications using AI and ML.

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

• Grasp the advanced concepts and technologies underlying AI and ML.
• Analyze and visualize data to guide AI/ML model development.
• Effectively build, train, and deploy AI/ML models.
• Develop intelligent applications capable of addressing real-world challenges.
• Assess the ethical implications of AI applications across different industries.

Adapt CUDA applications to Chinese GPU architectures like Huawei Ascend and Biren in Mexico. This live-led course assists advanced developers in code translation and performance refinement, including practical labs for migrating CUDA codebases to new SDKs.

This instructor-led, live training in Mexico (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

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.
• Discuss the ethical considerations and societal implications of AI technology.

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate to advanced data scientists, engineers, and AI practitioners seeking to master the nuances of intelligent applications and apply them to solve intricate, real-world challenges.

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

• Implementing and analyzing deep learning architectures.
• Applying machine learning at scale within distributed computing environments.
• Designing and executing reinforcement learning models for decision-making.
• Developing sophisticated NLP systems for language understanding.
• Utilizing computer vision techniques for image and video analysis.
• Addressing ethical considerations in the development and deployment of AI systems.

Optimize AI workloads on Ascend, Biren, and Cambricon through this hands-on training in Mexico. Gain the ability to benchmark models, uncover bottlenecks, and apply graph, kernel, and operator-level optimizations. Fine-tune deployment pipelines to improve throughput and latency across these industry-leading platforms.

Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally changing how we identify customer needs, define solutions, and make decisions. Just as electricity transformed industry, AI is reshaping the way products are created, validated, and evolved.

This live, instructor-led training (available online or onsite) targets Product Owners, Scrum Masters, and Agile Coaches seeking to understand how AI can enhance product ownership and strengthen decision-making capabilities.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven preferred Product Owner stances (including the new Orchestrator stance) and leverage AI to bolster each role — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and view AI tools as intelligent collaborators with specialized skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Utilize Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support 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 (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.
• Identify and design valuable AI use cases tailored to the specific product and organizational context.
• Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.