AI Enablement Training for Engineers Training Course

CloudMatrix represents Huawei’s consolidated platform for AI development and deployment, engineered to facilitate scalable, production-ready inference pipelines.

This instructor-led live training, available either online or onsite, is tailored for AI professionals at the beginner to intermediate level who aim to deploy and monitor AI models utilizing the CloudMatrix platform in conjunction with CANN and MindSpore integration.

Upon completing this training, participants will be equipped to:

• Utilize CloudMatrix for the packaging, deployment, and serving of models.
• Convert and optimize models specifically for Ascend chipsets.
• Establish pipelines capable of handling both real-time and batch inference tasks.
• Monitor deployments and fine-tune performance within production environments.

Course Format

• Interactive lectures complemented by group discussions.
• Practical application of CloudMatrix through real-world deployment scenarios.
• Guided exercises centered on conversion, optimization, and scaling techniques.

Customization Options for the Course

• For bespoke training sessions tailored to your specific AI infrastructure or cloud environment, please get in touch with us to make arrangements.

This instructor-led, live training in Greece (online or on-site) is designed for beginner to intermediate AI engineers and software developers seeking a solid grounding in the principles and practices of AI engineering.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts and technologies underpinning AI and machine learning.
• Build basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to resolve practical software development challenges.
• Oversee and sustain AI projects by adhering to industry best practices.
• Acknowledge the ethical implications and responsibilities associated with AI system development.

Biren AI Accelerators are high-performance GPUs engineered for AI and HPC workloads, offering robust support for large-scale training and inference.

This instructor-led, live training (available online or onsite) is tailored for developers at intermediate to advanced levels 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 Greece (online or onsite) is designed for AI professionals and software developers at intermediate to advanced levels who want to create smart applications using AI and ML.

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

• Grasp the advanced concepts and technologies underlying AI and ML.
• Analyse and visualise data to guide the development of AI/ML models.
• Effectively build, train, and deploy AI/ML models.
• Develop smart applications capable of solving real-world problems.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in is aimed at anyone who wants to ensure their organization is compliant, minimizes risks, and empowers your workforce to leverage AI safely and ethically.

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

• Understand how AI systems function and their potential applications.
• Identify risks and limitations associated with AI systems.
• Adhere to relevant legal and ethical requirements.

This instructor-led, live training in Greece (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 Greece (online or onsite) is designed for intermediate to advanced-level data scientists, engineers, and AI professionals seeking to master the nuances of intelligent applications and apply them to solve intricate, real-world challenges.

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

• Implement and analyze deep learning architectures.
• Deploy machine learning models at scale within distributed computing environments.
• Design and execute reinforcement learning models to support decision-making.
• Develop advanced NLP systems for robust language understanding.
• Apply computer vision techniques for image and video analysis.
• Navigate ethical considerations during the development and deployment of AI systems.

Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally altering how we identify customer needs, formulate solutions, and make critical decisions. Much like electricity transformed industrial landscapes, AI is reshaping the processes of building, validating, and evolving products.

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

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 preferred stances of a Product Owner, including the new Orchestrator stance, and leverage AI to enhance each role — such as Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting and view AI tools as intelligent collaborators possessing specialized skills.
• Deepen insights into customer needs and generate AI-supported personas for hypothesis testing and discovery, while preserving authentic customer engagement.
• 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 expedite prototyping and hypothesis testing, such as creating mock-ups or defining product concepts.
• Inform product decisions by employing AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (e.g., emails, stakeholder management, note-taking) using AI to dedicate more time to strategic and creative endeavors.
• Facilitate discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
• Identify and design valuable AI use cases customized to the specific product and organizational context.
• 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.