GPU Programming on Biren AI Accelerators Training Course

This instructor-led training in Malaysia introduces CloudMatrix for scalable AI inference. Learn to deploy, optimize, and monitor models using CANN and MindSpore. Hands-on exercises cover packaging, conversion, serving, and performance tuning for real-time and batch workloads.

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.

This two-day, hands-on programme is designed to equip participants with the practical skills needed to utilise Generative AI tools effectively, securely, and consistently within technical and operational workflows. The training aims to transform AI into a dependable everyday assistant for tasks such as drafting and refining documentation, structuring requirements, expediting analysis and reporting, supporting problem-solving efforts, and enhancing cross-functional communication. Learners will acquire established prompting patterns, validation methods to minimise errors and “hallucinations,” and lightweight governance practices that safeguard confidential information and intellectual property. The course is structured to yield immediately applicable templates, workflows, and a sustainable approach to AI-assisted work.

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.

Transition CUDA workloads to Chinese GPU ecosystems, including Huawei Ascend and Biren, within Malaysia. This instructor-led programme empowers advanced developers to master code translation and performance tuning through practical labs focused on porting CUDA codebases to native SDKs.

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.

Enhance AI workloads on Ascend, Biren, and Cambricon through this practical training in Malaysia. Master the skills to benchmark models, pinpoint performance bottlenecks, and execute graph, kernel, and operator-level optimizations. Refine deployment pipelines to boost throughput and latency efficiency across these top-tier platforms.

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.