AI Enablement Training for Engineers Training Course

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

This instructor-led training session, available both online and on-site, targets AI professionals ranging from beginner to intermediate levels who aim to deploy and oversee AI models using CloudMatrix, leveraging its integration with CANN and MindSpore.

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

• Utilize CloudMatrix for packaging, deploying, and serving models.
• Convert and optimize models specifically for Ascend hardware.
• Configure pipelines to handle both real-time and batch inference workloads.
• Oversee deployments and fine-tune performance within production environments.

Course Format

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

Customization Options

• For tailored training aligned with your specific AI infrastructure or cloud environment, please reach out to us to arrange a session.

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

Upon completing this course, participants will be able to:

• Grasp the fundamental concepts and technologies underpinning AI and machine learning.
• Develop basic machine learning models using TensorFlow and PyTorch.
• Utilise AI techniques to resolve practical issues within software development.
• Manage and sustain AI projects in accordance with industry best practices.
• Acknowledge the ethical considerations and responsibilities associated with building AI systems.

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

This instructor-led live training, available online or onsite, targets intermediate to advanced developers who want to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

Upon completing 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.

Course Format

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

Customization Options

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

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

Upon completing this training, participants will be able to:

• Grasp the advanced concepts and technologies underpinning 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 challenges.
• Assess the ethical implications of AI applications across various industries.

This instructor-led, live training in Malaysia (online or onsite) is designed for beginner-level IT professionals who seek a foundational grasp of intelligent applications and their potential applications across various industries.

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

• Gaining insight into the history, core principles, and societal impact of artificial intelligence.
• Identifying and implementing various machine learning algorithms.
• Effectively managing and analysing data for AI-driven applications.
• Recognising the practical uses and constraints of AI within different sectors.
• Discussing the ethical considerations and broader societal implications of AI technology.

This instructor-led, live training in Malaysia (online or onsite) targets intermediate to advanced data scientists, engineers, and AI practitioners seeking 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 swiftly establishing itself as the cornerstone of contemporary product management — fundamentally altering how we uncover customer needs, formulate solutions, and make strategic decisions. Much like electricity revolutionised industry, Artificial Intelligence is reshaping the way products 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 wish to understand how AI can elevate product ownership and bolster decision-making capabilities.

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 new Orchestrator stance) and leverage AI to strengthen each role — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting techniques and treat AI tools as intelligent collaborators with specialised skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining genuine customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
• Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by using AI tools to analyse, prioritize, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to 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 around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.