GPU Programming on Biren AI Accelerators Training Course

This live instructor-led training in Brazil explores CloudMatrix for scalable AI inference. Discover how to deploy, optimize, and monitor models using CANN and MindSpore. Practical exercises cover packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

This instructor-led, live training in Brazil (online or onsite) is tailored for beginner to intermediate-level AI engineers and software developers who aim to gain a foundational grasp of AI engineering principles and practices.

By the conclusion of this training, participants will be capable of:

• Gaining an understanding of the core concepts and technologies behind AI and machine learning.
• Implementing basic machine learning models using TensorFlow and PyTorch.
• Applying AI techniques to address practical problems in software development.
• Managing and maintaining AI projects by employing best practices in AI engineering.
• Recognizing the ethical implications and responsibilities involved in developing AI systems.

This two-day, immersive program empowers participants to seamlessly integrate Generative AI into their technical and operational workflows. The curriculum is designed to transform AI into a dependable daily aid, enhancing capabilities in documentation refinement, requirement structuring, rapid analysis and reporting, complex problem-solving, and efficient cross-functional collaboration. Attendees will master proven prompting strategies, validation methods to mitigate errors and 'hallucinations,' and lightweight governance frameworks that protect confidential data and intellectual property. The course culminates in the creation of immediately deployable templates, streamlined workflows, and a consistent approach to leveraging AI for improved productivity.

This instructor-led, live training in Brazil (online or onsite) is designed for AI professionals and software developers at the intermediate to advanced levels who aim to construct 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 building, training, and deploying AI/ML models.
• Crafting smart applications capable of addressing real-world challenges.
• Assessing the ethical implications of AI applications across different industries.

Migrate CUDA applications to Chinese GPU architectures like Huawei Ascend and Biren in Brazil. This instructor-led course guides advanced programmers through code translation and performance optimization, covering hands-on labs for porting CUDA codebases to new SDKs.

This instructor-led, live training in Brazil (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 Brazil (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.

Enhance AI workload performance on Ascend, Biren, and Cambricon through this hands-on training in Brazil. Master the skills to benchmark models, pinpoint bottlenecks, and execute graph, kernel, and operator-level optimizations. Optimize deployment pipelines to boost throughput and latency across these industry-leading platforms.

Artificial Intelligence is quickly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, define solutions, and make strategic decisions. Much like the electrical revolution transformed industry, Artificial Intelligence is reshaping the entire lifecycle of product creation, validation, and evolution.

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 elevate product ownership and bolster decision-making capabilities.

Upon completing 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 essential stances of a Product Owner, including the newly introduced Orchestrator stance, utilizing AI to reinforce each role—whether acting as a Visionary, Experimenter, or Customer Representative.
• Develop proficient prompting techniques and view AI tools as skilled, intelligent collaborators.
• Enhance customer insights by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer interactions.
• Articulate a clear product vision using structured frameworks such as the 3x3 Framework, employing AI to craft and visualize compelling narratives.
• Leverage Generative AI tools to speed up prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
• Inform product decisions by using AI to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily responsibilities (such as emails, stakeholder management, and note-taking) using AI, thereby freeing up time for strategic and creative work.
• Facilitate discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI adoption.
• Identify and design valuable AI use cases that align with specific product and organizational contexts.
• Explore and experiment with approximately 20 diverse AI tools and models—ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.