GPU Programming on Biren AI Accelerators Training Course

This instructor-led course in Argentina explores CloudMatrix as a solution for scalable AI inference. Participants will master the deployment, optimization, and monitoring of models through CANN and MindSpore integration. Practical sessions address packaging, conversion, serving, and performance adjustments for both real-time and batch workloads.

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

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts and technologies underpinning AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to resolve practical issues in software development.
• Manage and sustain AI projects by adhering to best practices in AI engineering.
• Identify the ethical implications and responsibilities associated with developing AI systems.

Designed for immediate practical application, this two-day immersive workshop provides participants with the essential skills to leverage Generative AI tools securely and consistently within technical and operational contexts. The program transforms AI into a dependable daily assistant, enhancing documentation creation, structuring complex requirements, and accelerating data analysis and reporting. Attendees will master effective prompting strategies, implement robust validation methods to minimize errors and hallucinations, and apply streamlined governance frameworks to safeguard sensitive information and intellectual property. The ultimate goal is to deliver ready-to-use templates, efficient workflows, and a scalable approach to AI-assisted productivity.

This instructor-led, live training in Argentina (online or onsite) is tailored for AI professionals and software developers at intermediate to advanced levels who intend to build smart applications using AI and ML.

Upon completing this training, participants will be able to:

• Understand the advanced concepts and technologies behind AI and ML.
• Analyze and visualize data to inform AI/ML model development.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications that can solve real-world problems.
• Evaluate the ethical implications of AI applications in various industries.

Transition CUDA applications to Chinese GPU ecosystems, such as Huawei Ascend and Biren, in Argentina. This instructor-led program supports advanced programmers in navigating code conversion and performance tuning, featuring practical labs for migrating CUDA codebases to new SDKs.

This instructor-led, live training in Argentina (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 Argentina (online or onsite) is designed for intermediate to advanced 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.

Refine AI workloads on Ascend, Biren, and Cambricon through this practical training in Argentina. Master the art of benchmarking models, uncovering bottlenecks, and executing graph, kernel, and operator-level optimizations. Adjust deployment pipelines to boost throughput and minimize latency across these top-tier platforms.

Artificial Intelligence is rapidly establishing itself as the cornerstone of modern product management—fundamentally transforming how we identify customer needs, define solutions, and make strategic decisions. Much like electricity revolutionized industry, AI is reshaping the lifecycle of products, from their construction and validation to their ongoing evolution.

This instructor-led, live training session (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who seek to understand how AI can enhance product ownership capabilities and strengthen decision-making processes.

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

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Apply the seven key stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to amplify each role—such as Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting, treating AI tools as intelligent collaborators with specialized expertise.
• Deepen customer insights and utilize AI to create personas for hypothesis testing and discovery, while preserving authentic human interaction.
• Develop and articulate a clear product vision using structured frameworks like the 3x3 Framework, employing AI to craft and visualize compelling narratives.
• Utilize Generative AI tools to speed up prototyping and hypothesis testing, including the creation of mock-ups and product concepts.
• Enhance product decisions by using AI to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (such as emails, stakeholder management, and note-taking) using AI, allowing greater focus on strategic and creative work.
• Facilitate critical discussions regarding AI ethics, bias, and data security to ensure responsible and sustainable AI adoption.
• Identify and design high-value AI use cases tailored to specific products 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.