AI Engineering Training in Christchurch

CloudMatrix is Huawei’s unified AI development and deployment platform, designed to support scalable, production-grade inference pipelines.

This instructor-led, live training (available online or onsite) is tailored for beginner to intermediate-level AI professionals who wish to deploy and monitor AI models using the CloudMatrix platform, with integrated support for CANN and MindSpore.

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

• Leverage CloudMatrix for model packaging, deployment, and serving.
• Convert and optimise models for Ascend chipsets.
• Establish pipelines for both real-time and batch inference tasks.
• Monitor deployments and fine-tune performance in production environments.

Course Format

• Interactive lectures and group discussions.
• Practical, hands-on experience with CloudMatrix using real-world deployment scenarios.
• Guided exercises focused on model conversion, optimisation, and scaling.

Course Customisation Options

• To request a customised training session tailored to your AI infrastructure or cloud environment, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is aimed at intermediate-level to advanced-level AI professionals and software developers who wish to build intelligent applications using AI and ML.

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

• Understand the advanced concepts and technologies underpinning AI and ML.
• Analyse and visualise data to inform AI/ML model development.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications capable of solving real-world problems.
• Evaluate the ethical implications of AI applications across various industries.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and apply them to solve complex, real-world challenges.

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

• Implement and analyse deep learning architectures.
• Apply machine learning at scale within a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilise computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

This instructor-led, live training in Christchurch (delivered either online or on-site) is designed for beginner to intermediate-level AI engineers and software developers seeking a solid foundation in AI engineering principles and practices.

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

• Grasp the core concepts and technologies underpinning AI and machine learning.
• Build basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to address real-world challenges in software development.
• Manage and maintain AI projects by following best practices in AI engineering.
• Identify the ethical implications and responsibilities associated with developing AI systems.

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

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced developers who aim to program and optimise 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 utilise Biren’s programming model.
• Translate and optimise CUDA-style code for Biren platforms.
• Apply performance tuning and debugging techniques.

Format of the Course

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

Course Customisation Options

• To request a customised training session based on your application stack or integration needs, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied across 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 analyse data effectively for AI applications.
• Recognise the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

This two-day, hands-on programme equips participants with practical skills to use Generative AI tools effectively, safely, and consistently in technical and operational work. The training focuses on turning AI into a reliable day-to-day assistant for drafting and improving documentation, structuring requirements, accelerating analysis and reporting, supporting problem solving, and streamlining cross-functional communication. Participants learn proven prompting patterns, validation techniques to reduce errors and "hallucinations," and lightweight governance practices to protect confidential information and intellectual property. The course is designed to produce immediately usable templates, workflows, and a repeatable approach to AI-assisted work.

AI is rapidly becoming the foundation of modern product management — transforming how we uncover customer needs, define solutions, and make decisions. Just as electricity revolutionised industry, Artificial Intelligence is reshaping how products are built, validated, and evolved.

This instructor-led, live training (delivered online or on-site) is designed for Product Owners, Scrum Masters, and Agile Coaches who want to understand how AI can enhance product ownership and strengthen decision-making.

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

• Understand the fundamentals of Artificial Intelligence and differentiate between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the new Orchestrator stance) and use AI to strengthen each stance — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting 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 authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualise 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, prioritise, 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 organisational 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.