GPU Programming on Biren AI Accelerators Training Course

This instructor-led session on Slovakia presents CloudMatrix for scalable AI inference. Participants will learn to deploy, optimize, and monitor models using CANN and MindSpore. Practical exercises include packaging, conversion, serving, and performance tuning for both real-time and batch workloads.

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

By the end of this training, participants will be able to:

• Understand the core concepts and technologies behind AI and machine learning.
• Implement basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve practical problems in software development.
• Manage and maintain AI projects using best practices in AI engineering.
• Recognize the ethical implications and responsibilities involved in developing AI systems.

This intensive two-day workshop provides a practical foundation for leveraging Generative AI tools with precision, security, and consistency in technical and operational contexts. The curriculum is centered on establishing AI as a dependable daily partner for enhancing documentation, organizing requirements, expediting analysis and reporting, facilitating problem resolution, and optimizing cross-functional communication. Learners will master established prompting strategies, implement validation methods to minimize inaccuracies and hallucinations, and apply streamlined governance protocols to safeguard sensitive data and intellectual property. Upon completion, participants will possess ready-to-implement templates, optimized workflows, and a sustainable methodology for integrating AI-assisted tasks into their routine operations.

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

Upon completion of 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 addressing real-world challenges.
• Assess the ethical implications of AI applications across various industries.

Port CUDA applications to Chinese GPU frameworks such as Huawei Ascend and Biren in Slovakia. This guided course leads advanced developers through code conversion and performance refinement, including practical labs for migrating CUDA codebases to new SDKs.

This instructor-led live training in Slovakia (online or onsite) is tailored for beginner-level IT professionals who wish to establish a foundational understanding of intelligent applications and their integration into 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 Slovakia (online or onsite) is designed for intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the complexities of intelligent applications and utilize them to resolve 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.

Maximize the potential of AI workloads on Ascend, Biren, and Cambricon through this hands-on training in Slovakia. Master the skills to benchmark models, pinpoint performance bottlenecks, and execute graph, kernel, and operator-level optimizations. Refine your deployment pipelines to boost throughput and optimize latency across these leading hardware platforms.

Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally altering how organizations identify customer needs, formulate solutions, and drive decision-making. Much like the industrial revolution brought about by electricity, AI is redefining the processes by which products are conceived, validated, and iterated upon.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this live, instructor-led training—available both online and on-site—equips participants with the insights needed to harness AI for enhanced product ownership and more robust decision-making capabilities.

Upon completion of this program, attendees will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between conventional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the emerging Orchestrator role, and leverage AI to reinforce each perspective, such as Visionary, Experimenter, or Customer Representative.
• Achieve proficiency in effective prompting strategies, viewing AI tools not merely as utilities but as specialized, intelligent collaborators.
• Enhance customer insight by developing AI-assisted personas for discovery and hypothesis testing, while preserving genuine engagement with end users.
• Craft and articulate a compelling product vision utilizing structured methodologies like the 3x3 Framework, using AI to refine and visualize strategic narratives.
• Utilize Generative AI capabilities to expedite prototyping and hypothesis validation, including the creation of mock-ups and initial product concepts.
• Inform product strategy by employing AI to analyze, prioritize, and assess features through the lenses of business value, technical feasibility, and user impact.
• Streamline routine administrative duties, such as email management, stakeholder coordination, and note-taking, allowing for a greater focus on strategic and creative endeavors.
• Facilitate informed discourse on AI ethics, bias mitigation, and data security, promoting a responsible and sustainable approach to AI adoption.
• Identify and architect high-value AI use cases that are specifically aligned with the product’s goals and the broader organizational environment.
• Gain hands-on experience with approximately 20 diverse AI tools and models, ranging from productivity boosters and design platforms to generative solutions for video, imagery, and code.

This live, instructor-led training in Slovakia is tailored for: Teams aiming to access answers from their own documents and guidelines.

By the end of the session, participants will be able to:

• Prepare documents in a way that facilitates their use by AI
• Develop a knowledge assistant via Claude Projects, custom GPTs, or Langdock
• Receive answers accompanied by source references
• Keep the knowledge base current and updated