GPU Programming on Biren AI Accelerators Training Course

This instructor-led training on Czech Republic provides an introduction to CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models utilizing 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 Czech Republic (online or onsite) is designed for beginner to intermediate-level AI engineers and software developers seeking a solid foundation in the principles and practices of AI engineering.

Upon completing this training, participants will be capable of:

• Gaining insight into the core concepts and technologies driving AI and machine learning.
• Developing basic machine learning models using TensorFlow and PyTorch.
• Applying AI techniques to resolve practical software development challenges.
• Managing and maintaining AI projects through established best practices in AI engineering.
• Awareness of the ethical implications and responsibilities associated with developing AI systems.

Over the course of two days, this hands-on workshop empowers participants with the practical abilities needed to leverage Generative AI tools effectively, securely, and consistently within their technical and operational roles. The training is centered on establishing AI as a dependable daily aid for creating and refining documentation, organizing requirements, speeding up analysis and reporting, aiding in problem resolution, and facilitating smoother cross-functional communication. Learners will acquire established prompting strategies, verification methods to minimize errors and "hallucinations," and streamlined governance protocols to safeguard confidential data and intellectual property. The course is structured to deliver immediately applicable templates, workflows, and a scalable methodology for AI-assisted tasks.

This instructor-led, live training in Czech Republic (online or onsite) targets intermediate to advanced AI professionals and software developers who aim to construct smart applications using AI and ML.

Upon completing this training, participants will be able to:

• Grasp the advanced concepts and technologies underpinning AI and ML.
• Analyze and visualize data to guide the development of AI/ML models.
• Construct, train, and deploy AI/ML models efficiently.
• Develop smart applications capable of solving real-world challenges.
• Assess the ethical implications of AI applications across various industries.

Migrate CUDA applications to Chinese GPU architectures such as Huawei Ascend and Biren in Czech Republic. This instructor-led course supports advanced programmers in code translation and performance optimization, featuring hands-on labs for porting CUDA codebases to new SDKs.

This instructor-led, live training in Czech Republic (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 Czech Republic (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.

Master AI workload optimization on Ascend, Biren, and Cambricon through this practical training in Czech Republic. Develop skills to benchmark models, pinpoint performance bottlenecks, and deploy graph, kernel, and operator-level optimizations. Refine deployment pipelines to boost throughput and latency across these premier hardware platforms.

Artificial Intelligence is quickly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we uncover customer needs, formulate solutions, and make critical decisions. Just as electricity revolutionized industry, Artificial Intelligence is reshaping the lifecycle of products—from their creation and validation to their continuous evolution.

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

Upon completion of 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 stances of a Product Owner (including the new Orchestrator stance) and utilize AI to strengthen each role, such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators possessing specialized skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while preserving authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Use 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.