Artificial Intelligence (AI) Training in Christchurch

This instructor-led, live training in Christchurch (available online or on-site) is designed for beginner to intermediate-level content creators, entrepreneurs, and technology enthusiasts who wish to harness the power of AI to drive innovative media production and business growth.

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

• Generate realistic voice clones for a wide range of applications.
• Manipulate video content using DeepFake technology for creative or educational purposes.
• Adopt ethical AI practices in content creation.
• Leverage AI tools to enhance both business operations and creative workflows.
• Master advanced AI media technologies for sophisticated applications.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level IT professionals who want to learn how to use AWS tools and services to efficiently build, train, and deploy AI models.

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

• Understand the AI/ML services provided by AWS.
• Set up and manage AI/ML environments on AWS.
• Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn how to use various AWS AI services for specific use cases.

AI tools can significantly enhance the productivity and accuracy of legal professionals by streamlining tasks such as contract review, legal research, and the drafting of legal documents.

This instructor-led, live training (online or on-site) is designed for beginner to intermediate-level legal professionals who wish to apply AI tools to simplify, accelerate, and elevate their day-to-day legal work.

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

• Leverage AI tools to review contracts for risky or missing clauses.
• Generate first drafts of legal documents using generative AI assistants.
• Automate legal research and summarise case law efficiently.
• Organise tasks, deadlines, and legal files with the support of AI-based tools.

Course Format

• Interactive lectures and discussions.
• Hands-on practice using real-world legal examples.
• Demonstrations and guided application of AI tools within legal workflows.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

AI tools are transforming productivity and creativity across industries, particularly within communication, design, and audiovisual production.

This live, instructor-led training (delivered online or on-site) is tailored for intermediate-level professionals seeking to harness AI tools to streamline content creation, automate workflows, and elevate creative output in their daily operations.

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

• Leverage ChatGPT and other large language models (LLMs) to write, summarise, generate ideas, and automate tasks using effective prompting techniques.
• Apply Google AI Ultra (Gemini) features across Docs, Sheets, and Gmail to boost productivity.
• Create AI-generated images and videos using accessible tools suitable for professional environments.
• Integrate Microsoft Copilot within Office 365 to enable smarter document, spreadsheet, and email workflows.
• Understand and implement ethical AI usage practices, including key cybersecurity considerations.
• Explore real-world use cases in communication, design, and audiovisual production powered by AI tools.
• Evaluate and experiment with free AI tools relevant to modern workplaces.

Course Format

• Interactive lectures and group discussions.
• Abundant exercises and hands-on practice.
• Practical implementation within a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

AI-powered tools such as ChatGPT, Gemini, and Microsoft 365 Copilot are reshaping how procurement professionals conduct research, draft documentation, analyse supplier data, and manage contracts.

This instructor-led, live training (delivered online or onsite) is designed for intermediate-level procurement professionals who wish to leverage AI tools safely and effectively to enhance decision-making, automate operational tasks, and prepare for future procurement challenges.

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

• Understand and distinguish between major AI tools and their relevance to procurement tasks.
• Craft effective prompts to improve AI accuracy and minimise the risk of misuse.
• Leverage AI to support sourcing, contract drafting, market analysis, and supplier evaluation.
• Interpret AI-generated outputs responsibly, identifying bias or hallucinations.
• Recognise privacy, confidentiality, and ethical concerns when using AI in procurement.
• Apply AI tools to real-world procurement categories such as IT, IFM, Marketing, HR, and more.

Course Format

• Interactive lecture and discussion.
• Hands-on exercises using real-world procurement examples.
• Practical use of live AI tools and prompt-crafting practice.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level media professionals who wish to harness AI tools to generate content, verify facts, automate editing tasks, and streamline workflows in digital journalism.

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

• Leverage AI tools to draft news articles, headlines, and summaries.
• Use AI to fact-check, detect bias, and recommend improvements to tone and clarity.
• Automate repetitive newsroom tasks such as transcription and tagging.
• Apply ethical and editorial standards in AI-assisted content production.

This instructor-led, live training in Christchurch (available online or on-site) is designed for intermediate to advanced-level cybersecurity professionals and technical leaders who wish to learn how to implement AI models to strengthen security processes, automate threat detection and response, and carry out predictive analysis.

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

• Understand the role of AI in modern cybersecurity.
• Develop machine learning models for anomaly and threat detection.
• Implement AI to automate incident response and security operations.
• Evaluate the ethical and operational implications of using AI in cybersecurity.

This instructor-led, live training in Christchurch (online or on-site) is designed for managers and business leaders who want to grasp the fundamentals of artificial intelligence and effectively manage AI initiatives within their organisations.

By the end of this training, participants will be able to understand AI from a technical perspective and develop strategies using their organisation's data and resources to successfully deliver AI projects.

This instructor-led, live training in Christchurch (online or on-site) is designed for managers and business leaders who wish to gain a foundational understanding of artificial intelligence and learn how to effectively manage AI projects within their organisation.

By the end of this training, participants will be able to understand AI from a technical perspective and develop strategies using their organisation's data and resources to successfully lead AI initiatives.

This instructor-led, live training in Christchurch (online or onsite) is aimed at beginner-level to intermediate-level business professionals and team leaders who wish to explore the value of AI through real-world cases and hands-on exercises.

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

• Understand key AI concepts relevant to their industry.
• Identify opportunities where AI can enhance their operations or customer experience.
• Experiment with basic AI tools through guided practical activities.
• Assess how to start small with AI in their own workplace.

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalise education and enhance learning experiences.

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

• Understand the principles and applications of Generative AI in the context of education.
• Create personalised learning materials and pathways using AI.
• Utilise AI tools for classroom management and content creation.
• Address ethical considerations in the use of AI for education.
• Develop strategies for integrating AI into educational curricula and administrative processes.

Mistral AI is a powerful family of open-source and enterprise-ready AI models designed for language, multimodal, and agentic applications.

This instructor-led, live training (available online or on-site) is tailored for intermediate to advanced professionals who aim to build, deploy, and manage AI agents using Mistral's Medium 3, Le Chat Enterprise, and Devstral models.

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

• Grasp the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral.
• Design and implement AI agents that leverage Mistral models for both enterprise and developer use cases.
• Integrate coding systems, connectors, and enterprise data into agent workflows.
• Optimise performance, cost, and compliance for agents powered by Mistral.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practical practice.
• Hands-on implementation within a live lab environment.

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This course offers a hands-on, no-code introduction to Artificial Intelligence (AI) applications specifically designed for logistics and supply operations within the fuel transportation sector. Participants will learn how to harness AI tools and automation techniques to enhance route planning, inventory forecasting, volumetric control, and logistics cost estimation using accessible, no-code platforms such as Excel, Power BI, and ChatGPT.

This instructor-led, live training (available online or on-site) is tailored for beginner-level professionals who wish to apply AI in real-world logistics scenarios without requiring programming or data science expertise.

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

• Grasp the fundamentals of AI and its role in logistics and supply management.
• Use AI-assisted tools to analyse operational data from routes, tanks, and deliveries.
• Develop simple AI-based forecasting models for short-term fuel demand.
• Apply AI to optimise routes, scheduling, and resource allocation.
• Estimate and track logistics costs using data-driven insights.
• Create performance dashboards and visual KPIs for supply chain operations.
• Design a practical 90-day plan for adopting AI in logistics and supply workflows.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises and real-world operational case studies.
• Step-by-step guidance on using no-code AI tools and templates.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

Mistral AI is an open AI platform that enables teams to build and integrate conversational assistants into enterprise and customer-facing workflows.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level product managers, full-stack developers, and integration engineers who wish to design, integrate, and productise conversational assistants using Mistral connectors and integrations.

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

• Integrate Mistral conversational models with enterprise and SaaS connectors.
• Implement retrieval-augmented generation (RAG) for grounded responses.
• Design UX patterns for internal and external chat assistants.
• Deploy assistants into product workflows for real-world use cases.

Format of the Course

• Interactive lecture and discussion.
• Hands-on integration exercises.
• Live-lab development of conversational assistants.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

Artificial Intelligence with Python involves building intelligent systems by leveraging Python’s rich ecosystem of AI and machine learning libraries.

This instructor-led, live training (available online or on-site) is designed for intermediate-level Python programmers who want to design, implement, and deploy AI solutions using Python.

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

• Implement AI algorithms using Python’s core AI libraries.
• Work with supervised, unsupervised, and reinforcement learning models.
• Integrate AI solutions into existing applications and workflows.
• Evaluate model performance and optimise for accuracy and efficiency.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised version of this course, please contact us to arrange.

LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and precise control over execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based legal solutions with the necessary compliance, traceability, and governance controls.

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

• Design legal-specific LangGraph workflows that preserve auditability and compliance.
• Integrate legal ontologies and document standards into graph state and processing.
• Implement guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploy, monitor, and maintain LangGraph services in production with observability and cost controls.

Format of the Course

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

Mistral AI is an open, enterprise-ready AI platform delivering features that enable secure, compliant, and responsible AI deployment.

This instructor-led, live training (available online or on-site) is designed for intermediate-level compliance leads, security architects, and legal and operations stakeholders seeking to implement responsible AI practices with Mistral by leveraging privacy safeguards, data residency strategies, and enterprise-grade control mechanisms.

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

• Implement privacy-preserving techniques within Mistral deployments.
• Apply data residency strategies to meet regulatory requirements.
• Configure enterprise-grade controls such as role-based access control (RBAC), single sign-on (SSO), and audit logging.
• Evaluate vendor and deployment options to ensure compliance alignment.

Course Format

• Interactive lectures and group discussions.
• Compliance-focused case studies and practical exercises.
• Hands-on implementation of enterprise AI controls.

Course Customisation Options

• To request a customised version of this training, please contact us to make arrangements.

LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based finance solutions with proper governance, observability, and compliance.

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

• Design finance-specific LangGraph workflows aligned to regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimise LangGraph systems for performance, cost, and SLAs.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

Ollama is a platform that enables running and fine-tuning large language and multimodal models locally.

This instructor-led, live training (online or onsite) is aimed at advanced-level ML engineers, AI researchers, and product developers who wish to build and deploy multimodal applications with Ollama.

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

• Set up and run multimodal models with Ollama.
• Integrate text, image, and audio inputs for real-world applications.
• Build document understanding and visual QA systems.
• Develop multimodal agents capable of reasoning across modalities.

Course Format

• Interactive lectures and discussion.
• Hands-on practice using real multimodal datasets.
• Live-lab implementation of multimodal pipelines with Ollama.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

Mistral models are open-source AI technologies that now extend into multimodal workflows, supporting both language and vision tasks for enterprise and research applications.

This instructor-led, live training (delivered online or on-site) is designed for intermediate-level ML researchers, applied engineers, and product teams who wish to build multimodal applications using Mistral models, including OCR and document understanding pipelines.

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

• Set up and configure Mistral models for multimodal tasks.
• Implement OCR workflows and integrate them with NLP pipelines.
• Design document understanding applications for enterprise use cases.
• Develop vision-text search and assistive UI functionalities.

Course Format

• Interactive lectures and discussions.
• Hands-on coding exercises.
• Live-lab implementation of multimodal pipelines.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

Advanced Ollama Model Debugging & Evaluation is an in-depth course focused on diagnosing, testing, and measuring model behaviour when running local or private Ollama deployments.

This instructor-led, live training (online or on-site) is aimed at advanced-level AI engineers, ML Ops professionals, and QA practitioners who wish to ensure reliability, fidelity, and operational readiness of Ollama-based models in production.

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

• Perform systematic debugging of Ollama-hosted models and reliably reproduce failure modes.
• Design and execute robust evaluation pipelines using both quantitative and qualitative metrics.
• Implement observability (logs, traces, metrics) to monitor model health and detect drift.
• Automate testing, validation, and regression checks integrated into CI/CD pipelines.

Course Format

• Interactive lectures and discussion.
• Hands-on labs and debugging exercises using Ollama deployments.
• Case studies, group troubleshooting sessions, and automation workshops.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

AI for HR involves the application of artificial intelligence tools and techniques to enhance hiring, onboarding, talent management, employee experience, and HR operations.

This instructor-led, live training (available online or onsite) is designed for intermediate-level HR professionals and people analytics practitioners who want to learn how to evaluate, adopt, and responsibly apply AI tools to real-world HR scenarios.

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

• Identify high-value HR use cases for AI and prioritise pilot opportunities.
• Design prompts and workflows to use LLMs for common HR tasks (e.g., job descriptions, summaries, communications).
• Assess ethical, legal, and privacy risks and apply mitigation strategies when using AI in HR processes.
• Measure impact and define success metrics for AI-enabled HR initiatives.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises using real HR scenarios and datasets.
• Group workshops to design responsible, AI-powered HR workflows.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

Devstral and Mistral models are open-source AI technologies designed for flexible deployment, fine-tuning, and scalable integration.

This instructor-led, live training (online or on-site) is aimed at intermediate–level to advanced–level ML engineers, platform teams, and research engineers who wish to self-host, fine-tune, and govern Mistral and Devstral models in production environments.

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

• Set up and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques for domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance.
• Ensure security, compliance, and responsible usage of open-source models.

Course Format

• Interactive lecture and discussion.
• Hands-on exercises in self-hosting and fine-tuning.
• Live-lab implementation of governance and monitoring pipelines.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

LangGraph enables stateful, multi-actor workflows powered by large language models (LLMs), offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are vital for ensuring compliance, interoperability, and the development of decision-support systems that align seamlessly with clinical workflows.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.

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

• Design healthcare-specific LangGraph workflows with compliance and auditability as core considerations.
• Integrate LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
• Apply best practices for reliability, traceability, and explainability within sensitive healthcare environments.
• Deploy, monitor, and validate LangGraph applications in real-world healthcare production settings.

Course Format

• Interactive lectures and group discussions.
• Hands-on exercises featuring real-world case studies.
• Practical implementation in a live-lab environment.

Course Customisation Options

• To request a customised version of this training, please contact us to arrange a tailored session.

LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.

This instructor-led, live training (available online or on-site) is designed for advanced-level AI platform engineers, AI-focused DevOps professionals, and ML architects who aim to optimise, debug, monitor, and operate production-grade LangGraph systems.

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

• Design and optimise complex LangGraph topologies for speed, cost-efficiency, and scalability.
• Engineer reliability through retries, timeouts, idempotency, and checkpoint-based recovery.
• Debug and trace graph executions, inspect state, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces, deploy to production, and monitor SLAs and costs.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and hands-on practice.
• Real-world implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level game developers and AI enthusiasts who wish to effectively integrate AI agents into gaming applications.

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

• Understand the role of AI agents in modern gaming.
• Develop decision-making systems using decision trees and finite state machines.
• Implement pathfinding algorithms such as A* for in-game navigation.
• Apply reinforcement learning techniques to create adaptive AI behaviours.
• Optimise AI performance for real-time gaming environments.

PostgreSQL is a powerful, open-source relational database that can be enhanced with AI capabilities to support enterprise data intelligence, predictive analytics, and automation.

This instructor-led, live training (delivered online or on-site) is designed for intermediate to advanced data engineers, DBAs, and solution architects who wish to design, implement, and govern enterprise-grade AI systems that leverage PostgreSQL.

Upon completing this program, participants will gain the expertise to:

• Integrate AI models and vector search capabilities directly into PostgreSQL.
• Deploy AI-optimised architectures to handle high-volume enterprise workloads.
• Implement robust governance, auditing, and compliance frameworks for AI data pipelines.
• Securely leverage both open-source and proprietary AI frameworks within PostgreSQL environments.

Course Format

• Interactive lectures and enterprise case study discussions.
• Practical exercises and real-world lab sessions.
• Hands-on implementation within a live PostgreSQL environment.

Course Customisation Options

• To request a customised version of this training, please contact us to make arrangements.

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level to advanced-level participants who wish to optimise customer care operations using AI and automation while equipping their teams with the latest tools and strategies.

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

• Understand the latest trends in customer care and customer success.
• Leverage AI and automation to improve customer satisfaction and reduce workloads.
• Optimise sales workflows and customer engagement using advanced automation.
• Train teams remotely on modern tools and strategies for customer success and sales.
• Create scalable solutions to improve customer experiences and drive revenue growth.

This instructor-led, live training in Christchurch (online or on-site) is designed for advanced-level professionals who wish to fine-tune and customise AI models on Ollama to achieve enhanced performance and support domain-specific applications.

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

• Set up an efficient environment for fine-tuning AI models on Ollama.
• Prepare datasets for supervised fine-tuning and reinforcement learning.
• Optimise AI models for performance, accuracy, and efficiency.
• Deploy customised models in production environments.
• Evaluate model improvements and ensure robustness.

Mistral is a high-performance family of large language models optimised for cost-effective production deployment at scale.

This instructor-led, live training (online or on-site) is designed for advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimise Mistral-based architectures to achieve maximum throughput and minimum cost.

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

• Implement scalable deployment patterns for Mistral Medium 3.
• Apply batching, quantisation, and efficient serving strategies.
• Optimise inference costs while maintaining performance.
• Design production-ready serving topologies for enterprise workloads.

Format of the Course

• Interactive lecture and discussion.
• Abundant exercises and hands-on practice.
• Live implementation in a real-time lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level data scientists and software developers who wish to gain hands-on experience with Milvus and explore its practical applications across a range of AI scenarios.

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

• Understand the architecture and key features of Milvus.
• Implement vector databases in a variety of AI applications.
• Execute similarity searches with high accuracy and speed.
• Apply Milvus to address real-world AI challenges.

This instructor-led, live training in Christchurch (online or on-site) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.

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

• Deploy and configure Ollama for private AI processing.
• Integrate AI models into secure enterprise workflows.
• Optimise AI performance while maintaining data privacy.
• Automate business processes with on-premises AI capabilities.
• Ensure compliance with enterprise security and governance policies.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level developers and architects who wish to master the fundamentals of intelligent driving and learn how to apply them in real-world scenarios.

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

• Explain the core concepts and principles of AI and their application to driving.
• Understand the architecture and key components of intelligent driving systems.
• Create and visualise a composite driving model drawn from various design disciplines.
• Communicate and annotate issues and feedback within the model.
• Perform clash detection and resolution between driving scenarios.
• Simulate and manage driving schedules and associated costs.

LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalising content pipelines.

This instructor-led, live training (online or on-site) is aimed at intermediate-level marketers, content strategists, and automation developers who wish to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Design graph-structured content and email workflows with conditional logic.
• Integrate LLMs, APIs, and data sources for automated personalisation.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimise workflow performance and delivery outcomes.

Format of the Course

• Interactive lectures and group discussions.
• Hands-on labs implementing email workflows and content pipelines.
• Scenario-based exercises on personalisation, segmentation, and branching logic.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

Le Chat Enterprise is a private ChatOps solution delivering secure, customisable, and governed conversational AI capabilities for organisations, with support for RBAC, SSO, connectors, and enterprise application integrations.

This instructor-led, live training (available online or on-site) is designed for intermediate-level product managers, IT leads, solution engineers, and security and compliance teams who wish to deploy, configure, and govern Le Chat Enterprise within enterprise environments.

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

• Set up and configure Le Chat Enterprise for secure deployments.
• Enable RBAC, SSO, and compliance-driven controls.
• Integrate Le Chat with enterprise applications and data stores.
• Design and implement governance and admin playbooks for ChatOps.

Course Format

• Interactive lecture and discussion.
• Extensive exercises and practice opportunities.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level data scientists and software developers who wish to learn how to apply Pinecone across a range of AI scenarios, from semantic search to personalisation.

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

• Understand the architecture and key features of Pinecone.
• Implement vector databases in various AI applications.
• Perform similarity searches with high accuracy and speed.
• Apply Pinecone to real-world AI challenges.

This instructor-led, live training in Christchurch (online or on-site) is designed for professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.

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

• Understand the concept of Artificial Intelligence (AI).
• Recognise the limitations and risks of AI and apply it responsibly.
• Know how to effectively leverage AI in real-world scenarios.

Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimise coding agents using Devstral.

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

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practice opportunities.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level professionals who wish to deploy, optimise, and integrate LLMs using Ollama.

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

• Set up and deploy LLMs using Ollama.
• Optimise AI models for performance and efficiency.
• Leverage GPU acceleration to improve inference speeds.
• Integrate Ollama into workflows and applications.
• Monitor and maintain AI model performance over time.

LangGraph is a framework for composing graph-structured LLM workflows that support branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or on-site) is aimed at intermediate-level engineers and product teams who wish to combine LangGraph's graph logic with LLM agent loops to build dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

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

• Design graph-based workflows that coordinate LLM agents, tools, and memory.
• Implement conditional routing, retries, and fallbacks for robust execution.
• Integrate retrieval, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and harden agent behaviour for reliability and safety.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based design exercises and peer reviews.

Course Customisation Options

• To request customised training for this course, please contact us to arrange.

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level to advanced-level data scientists and machine learning engineers who wish to master the use of vector databases for scalable, high-performance AI applications.

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

• Understand the principles of vector databases.
• Learn techniques for creating and managing vector embeddings.
• Explore indexing strategies for high-dimensional data.
• Develop skills for performing efficient similarity searches.
• Apply vector database knowledge to machine learning projects.

This instructor-led, live training in Christchurch (online or on-site) is designed for digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their practical applications.

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

• Grasp the core principles and benefits of Bing AI.
• Identify the AI-powered features within Bing and their real-world applications.
• Leverage Bing AI to improve search results and enhance user experiences.
• Assess the potential of AI in search engine optimisation (SEO) and content creation.
• Explore chatbot technologies and their applications, including the Bing AI Chatbot.

This instructor-led, live training in Christchurch (online or onsite) is aimed at beginner-level to intermediate-level researchers and laboratory professionals who wish to process and analyse images related to histological tissues, blood cells, algae, and other biological samples.

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

• Navigate the Fiji interface and utilise ImageJ's core functions.
• Preprocess and enhance scientific images for better analysis.
• Analyse images quantitatively, including cell counting and area measurement.
• Automate repetitive tasks using macros and plugins.
• Customise workflows for specific image analysis needs in biological research.

LangGraph is a framework for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph.

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

• Explain core LangGraph concepts (nodes, edges, state) and when to use them.
• Build prompt chains that branch, call tools, and maintain memory.
• Integrate retrieval and external APIs into graph workflows.
• Test, debug, and evaluate LangGraph apps for reliability and safety.

Course Format

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based exercises on design, testing, and evaluation.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

Mistral Medium 3 is a high-performance, multimodal large language model designed for production-grade deployment across enterprise environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimise, and secure Mistral Medium 3 for enterprise use cases.

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

• Deploy Mistral Medium 3 using API and self-hosted options.
• Optimise inference performance and costs.
• Implement multimodal use cases with Mistral Medium 3.
• Apply security and compliance best practices for enterprise environments.

Course Format

• Interactive lectures and discussions.
• Extensive hands-on exercises and practice.
• Real-world implementation in a live-lab environment.

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

This is a five-day introduction to Data Science and Artificial Intelligence (AI).

The course is delivered using Python, with practical examples and hands-on exercises.

What will cities look like in the future? How can Artificial Intelligence (AI) be applied to enhance urban planning? In what ways can AI help create cities that are more efficient, livable, safe, and environmentally sustainable?

In this instructor-led, live training (available onsite or remotely), we explore the various technologies that constitute AI, along with the skills and mental frameworks needed to apply them effectively in city planning. We also examine tools and methods for gathering and organising relevant data for AI use, including data mining techniques.

Audience

• City planners
• Architects
• Developers
• Transportation officials

Format of the Course

• A blend of lecture, discussion, and a series of interactive exercises.

Note

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training (online or onsite) is designed for team leaders and middle managers who want to adopt AI safely and effectively by addressing the human factors that drive success: trust, accountability, decision habits, and psychological safety.

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

• Define when to use AI and when not to (stop rules).
• Verify AI outputs using practical standards (red flags, second source).
• Set accountability and escalation triggers.
• Build team agreements and a 30-day adoption plan.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate to advanced-level professionals, business leaders, and policymakers who wish to explore AI’s role in business, society, and future developments.

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

• Understand how AI influences business, the economy, and workforce dynamics.
• Recognise the ethical, legal, and societal challenges associated with AI adoption.
• Analyse the role of AI in privacy, governance, and inclusion.
• Evaluate strategies to address AI bias and ethical concerns.
• Discuss AI’s future potential and emerging challenges.

This instructor-led, live training is ideal for those new to AI and keen to explore its applications.

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

• Grasp the concept of Artificial Intelligence (AI) and its impact across industries.
• Understand the fundamentals of Machine Learning and Deep Learning.
• Explore various AI tools and software.

This course adopts a practical approach to teaching OptaPlanner, equipping participants with the tools required to perform the core functions of this powerful optimisation tool.