AI Enablement Training for Engineers Training Course

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

This instructor-led training session, available both online and onsite, is designed for AI professionals ranging from beginner to intermediate levels who aim to deploy and manage AI models by leveraging the CloudMatrix platform integrated with CANN and MindSpore.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Customization Options

• For customized training tailored to your specific AI infrastructure or cloud environment, please reach out to us to make arrangements.

This instructor-led, live training in South Korea (offered online or on-site) targets beginner to intermediate-level AI engineers and software developers who aim to establish a foundational understanding of AI engineering principles and practices.

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

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

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 South Korea (online or onsite) is designed for intermediate to advanced AI professionals and software developers who wish to build smart applications using AI and ML.

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

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

This instructor-led, live training in South Korea (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 South Korea (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.

Artificial Intelligence is rapidly emerging as the cornerstone of modern product management, fundamentally transforming how we identify customer needs, define solutions, and make strategic decisions. Just as the advent of electricity revolutionized industry, AI is reshaping the lifecycle of products, influencing how they are built, validated, and evolved.

This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who seek to understand how AI can enhance product ownership capabilities and strengthen 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 newly introduced Orchestrator stance) and leverage AI to reinforce each role, such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators with specialized skills.
• Deepen customer understanding by creating AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer engagement.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to shape and visualize narratives.
• Accelerate prototyping and hypothesis testing by using Generative AI tools, such as generating mock-ups or product concepts.
• Support product decisions by analyzing, prioritizing, and evaluating features based on value, feasibility, and user impact using AI tools.
• Automate or delegate routine daily tasks (e.g., emails, stakeholder management, note-taking) using AI, allowing greater 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 approximately 20 different AI tools and models, ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.