AI Engineering Fundamentals Training Course

CloudMatrix serves as Huawei's unified platform for developing and deploying AI solutions, specifically engineered to support scalable, production-grade inference pipelines.

This instructor-led live training, available in both online and onsite formats, is tailored for beginner to intermediate-level AI professionals looking to deploy and monitor AI models using the CloudMatrix platform, with seamless integration of CANN and MindSpore.

Upon completion of this training, participants will gain the ability to:

• Leverage CloudMatrix for packaging, deploying, and serving models.
• Convert and optimize models for Ascend chipsets.
• Establish pipelines for both real-time and batch inference tasks.
• Monitor deployments and fine-tune performance in production environments.

Course Format

• Interactive lectures and discussions.
• Practical application of CloudMatrix through real-world deployment scenarios.
• Guided exercises focusing on conversion, optimization, and scaling.

Customization Options

• For customized training based on your specific AI infrastructure or cloud environment, please contact us to arrange a session.

This intensive two-day, hands-on program empowers participants with practical skills to utilize Generative AI tools effectively, safely, and consistently within technical and operational contexts. The training emphasizes transforming AI into a dependable daily assistant for drafting and enhancing documentation, structuring requirements, accelerating analysis and reporting, supporting problem-solving, and streamlining cross-functional communication. Participants will master proven prompting strategies, validation techniques to minimize errors and "hallucinations," and lightweight governance practices to safeguard confidential information and intellectual property. The course is designed to yield immediately applicable templates, workflows, and a repeatable methodology for AI-assisted work.

Biren AI Accelerators are high-performance GPUs designed for AI and HPC workloads with support for large-scale training and inference.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

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

• Understand Biren GPU architecture and memory hierarchy.
• Set up the development environment and use Biren’s programming model.
• Translate and optimize CUDA-style code for Biren platforms.
• Apply performance tuning and debugging techniques.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of Biren SDK in sample GPU workloads.
• Guided exercises focused on porting and performance tuning.

Course Customization Options

• To request a customized training for this course based on your application stack or integration needs, please contact us to arrange.

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.

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.

Artificial Intelligence is swiftly emerging as the core of contemporary product management—reshaping how we identify customer needs, define solutions, and make critical decisions. Just as electricity transformed industry, AI is fundamentally altering how products are developed, validated, and evolved.

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

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

• Grasp the fundamentals 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 reinforce each role—such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and view AI tools as intelligent collaborators with specialized expertise.
• Deepen customer insights and create AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer interactions.
• Formulate and articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to craft and visualize narratives.
• Utilize Generative AI tools to speed up prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Inform product decisions by employing AI to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) via AI, 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 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.