AI Enablement Training for Engineers Training Course

CloudMatrix is Huawei's comprehensive AI development and deployment platform engineered to facilitate scalable, production-ready inference pipelines.

This instructor-led live training, available online or onsite, targets beginner to intermediate-level AI professionals aiming to deploy and oversee AI models using the CloudMatrix platform integrated with CANN and MindSpore.

Upon completion of this training, participants will be capable of:

• Utilizing CloudMatrix for model packaging, deployment, and serving.
• Converting and optimizing models specifically for Ascend chipsets.
• Configuring pipelines for both real-time and batch inference tasks.
• Monitoring deployments and fine-tuning performance within 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 techniques.

Customization Options for the Course

• To request customized training tailored to your specific AI infrastructure or cloud environment, please contact us for arrangements.

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

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

• Grasp the fundamental concepts and technologies underlying AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilize AI techniques to resolve practical issues in software development.
• Oversee and maintain AI projects by adhering to industry best practices.
• Identify the ethical implications and responsibilities associated with creating 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:

• Grasp the architecture and memory hierarchy of Biren GPUs.
• Configure the development environment and utilize Biren’s programming model.
• Translate and optimize CUDA-style code for Biren platforms.
• Implement 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 session Vietnam (online or on-site) is designed for intermediate to advanced AI professionals and software developers who wish to build smart applications using AI and ML.

Upon completion of this training, participants will be capable of:

• Grasping the advanced concepts and technologies underlying AI and ML.
• Analyzing and visualizing data to guide the development of AI/ML models.
• Effectively building, training, and deploying AI/ML models.
• Developing intelligent applications that address real-world challenges.
• Assessing the ethical implications of AI applications across various industries.

This instructor-led, live training in Vietnam (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 Vietnam (online or onsite) targets intermediate to advanced data scientists, engineers, and AI practitioners seeking to master the complexities of intelligent applications and leverage them for real-world problem-solving.

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 cornerstone of contemporary product management, fundamentally changing how we identify customer needs, define solutions, and make critical decisions. Much like electricity revolutionized industries, AI is reshaping the lifecycle of products—from creation and validation to evolution.

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 elevate product ownership and bolster decision-making capabilities.

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

• Grasp the core concepts 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 enhance each role—such as the Visionary, Experimenter, or Customer Representative.
• Master the art of effective prompting and view AI tools as intelligent collaborators with specialized capabilities.
• Enhance customer insight by creating AI-assisted personas for hypothesis testing and discovery, while preserving genuine human interaction with customers.
• Articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to shape and visualize compelling narratives.
• Accelerate prototyping and hypothesis testing through Generative AI tools, such as generating mock-ups or developing product concepts.
• Inform product decisions by using AI to analyze, prioritize, and evaluate features based on their value, feasibility, and impact on users.
• Automate or delegate routine daily tasks (such as emails, stakeholder management, and 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 product requirements and organizational contexts.
• Explore and experiment with approximately 20 distinct AI tools and models—ranging from productivity assistants and prototyping platforms to generative solutions for video, images, and coding.