AI Engineering Training in Christchurch

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 (online or onsite) is designed for beginner to intermediate-level AI engineers and software developers seeking a solid grounding in AI engineering principles and practices.

Upon completion of this course, participants will be able to:

• Grasp the core concepts and technologies underpinning AI and machine learning.
• Construct basic machine learning models using TensorFlow and PyTorch.
• Utilise AI techniques to resolve practical issues in software development.
• Manage and sustain AI projects by adhering to best practices in AI engineering.
• Acknowledge the ethical implications and responsibilities associated with developing AI systems.

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, practical workshop is designed to help professionals gain the confidence and competence needed to leverage Generative AI tools securely and consistently within their technical and operational roles. The program prioritises transforming AI into a dependable daily companion for enhancing documentation, organising requirements, speeding up analysis and reporting, assisting with problem-solving, and facilitating smoother communication across teams. Participants will explore established prompting strategies, methods for validating output to minimise errors and 'hallucinations', and streamlined governance frameworks that safeguard confidential data and intellectual property. By the end of the session, attendees will have a toolkit of ready-to-use templates, workflows, and a sustainable approach to integrating AI into their regular tasks.

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.