Online Natural Language Processing (NLP) Training in New Zealand

This instructor-led live training in New Zealand empowers finance practitioners and IT personnel with the expertise to implement Ollama locally. Attendees will learn to deploy, configure, and integrate large language models into secure financial workflows, while applying best practices for compliance and automation.

This live training in New Zealand enables healthcare professionals and IT teams to deploy Ollama for local LLMs. It covers integrating AI into clinical workflows, customising models for specific duties, and ensuring robust data privacy and regulatory compliance within secure healthcare settings.

This instructor-led training on New Zealand explores responsible AI principles within Ollama, with a focus on fairness, transparency, and accountability. Participants will design governance workflows, implement bias mitigation techniques, and build compliance monitoring frameworks through hands-on labs and real-world case studies.

This hands-on training in New Zealand is designed for intermediate to advanced professionals aiming to build, deploy, and manage AI agents. Learn to leverage Mistral Medium 3, Le Chat Enterprise, and Devstral for robust enterprise and developer use cases, integrating connectors, RAG patterns, and compliance standards.

This live, instructor-led training in New Zealand empowers intermediate professionals with the expertise to deploy Ollama securely. Learners will gain the skills to apply differential privacy, implement secure logging, and enforce data access controls that meet regulatory compliance standards, ensuring robust security in on-premises environments.

This live training in New Zealand explores the integration of Mistral conversational assistants into enterprise environments. Participants will master connecting SaaS tools, implementing retrieval-augmented generation, and designing effective UX patterns for both customer-facing and internal chat interfaces.

This live, instructor-led training in New Zealand assists beginners in applying Claude AI to customer support and service operations. Participants will learn to automate triage, craft tone-consistent responses, and integrate AI into existing workflows through practical, hands-on exercises.

Gain mastery over LangGraph for legal applications through this 35-hour instructor-led training in New Zealand. Designed for intermediate to advanced professionals, the course delves into workflow design, compliance controls, and human-in-the-loop approvals. Build auditable, production-ready LLM solutions with enhanced confidence.

This live Mistral Responsible AI training, delivered in New Zealand, is purpose-built for compliance and security leaders. You will gain mastery over privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO, ensuring that your AI deployment is both secure and fully compliant.

This live Claude AI training in New Zealand assists professionals in applying the tool to data analysis and BI tasks. It covers exploratory data analysis, SQL generation, and dashboard design via natural language prompting, with the goal of streamlining workflows and enhancing the extraction of insights from business data.

This instructor-led programme in New Zealand empowers professionals to engineer LangGraph-based solutions for the finance sector. Participants will learn to construct workflows that comply with regulatory mandates, integrate key data standards, and deploy systems featuring robust governance, observability, and compliance controls.

Master the development of multimodal applications using Mistral models, with a focus on OCR, document understanding, and vision-text search. This practical training covers pipeline implementation, NLP integration, and enterprise-grade design, delivered online or in New Zealand.

This instructor-led, live training in New Zealand (online or onsite) is designed for intermediate-level data scientists and developers who wish to apply NLP techniques using Python in Google Colab.

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

• Grasp the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Conduct sentiment analysis using the NLTK and SpaCy libraries.
• Work with text data in Google Colab to support scalable and collaborative development.

This advanced, instructor-led training in New Zealand concentrates on diagnosing, testing, and evaluating local Ollama deployments. It encompasses systematic debugging, robust evaluation pipelines, observability, and automated CI/CD integration to ensure production reliability and operational readiness.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level researchers, analysts, and knowledge workers who wish to leverage Claude AI to process large volumes of data, synthesise information, and automate research tasks.

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

• Use Claude AI for literature reviews and research synthesis.
• Summarise reports, research papers, and long-form documents.
• Extract key insights and trends from both structured and unstructured data.
• Integrate Claude AI into research and knowledge management workflows.

This instructor-led training in New Zealand is designed for ML engineers looking to master the self-hosting and fine-tuning of Devstral and Mistral models. Participants will gain practical skills in governance, monitoring, and compliance, enabling them to deploy open-source AI with confidence in production settings.

Discover LangGraph for healthcare through this live training in New Zealand, crafted for intermediate to advanced professionals. Gain the skills to design stateful, compliant workflows, integrate standards such as FHIR and SNOMED CT, and tackle ethical and operational challenges in regulated environments.

This instructor-led, live training in New Zealand is tailored for advanced AI platform engineers, AI-focused DevOps specialists and ML architects who aim to optimise, debug, monitor and operate production-grade LangGraph systems for stateful, multi-agent LLM applications built as composable graphs.

This instructor-led, live training in New Zealand (online or onsite) is aimed at beginner to intermediate-level content creators, writers, and marketers who want to leverage Claude AI for content generation, editing, and summarisation to enhance blogs, reports, and marketing materials.

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

• Use Claude AI for content brainstorming and idea expansion.
• Enhance writing with AI-assisted editing and proofreading.
• Generate summaries for long-form content and reports.
• Automate marketing copy creation for different platforms.

This instructor-led, live training in New Zealand (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.

Gain mastery of cost-efficient Mistral LLM architectures through this 14-hour live training in New Zealand. Discover how to deploy, optimise, and scale Mistral Medium 3 to achieve peak throughput at the lowest possible cost, leveraging batching, quantization, and efficient serving strategies for enterprise needs.

This instructor-led, live training in New Zealand (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 New Zealand (delivered either online or on-site) is designed for intermediate-level software developers and AI engineers who wish to integrate Claude AI into their applications, create AI-powered chatbots, and enhance software functionality through AI-driven automation.

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

• Utilise the Claude AI API to embed AI into applications.
• Develop AI-driven chatbots and virtual assistants.
• Enhance applications with AI-powered automation and natural language processing (NLP).
• Optimise and fine-tune Claude AI models for diverse use cases.

This live training in New Zealand focuses on Le Chat Enterprise, a private ChatOps platform for secure, governed conversational AI. Participants will learn to deploy, configure, and integrate the solution with enterprise apps, activating RBAC, SSO, and compliance controls to drive scalable and secure AI workflows.

Develop mastery over Devstral through this live training session conducted in New Zealand. The curriculum delves into architecture, agentic workflow design, and tool integration. Perfectly suited for advanced engineers, the course leverages hands-on labs to construct coding agents that boost both productivity and security within contemporary development settings.

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for beginner-level professionals who want to integrate Claude AI into their daily workflows to improve efficiency and automation.

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

• Use Claude AI to automate repetitive tasks and streamline workflows.
• Boost personal and team productivity through AI-powered automation.
• Integrate Claude AI with existing business tools and platforms.
• Optimise AI-driven decision-making and task management.

This instructor-led, live training in New Zealand (online or onsite) is designed for intermediate-level professionals keen on deploying, optimising, and integrating LLMs using Ollama.

By the conclusion 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 enhance inference speeds.
• Integrate Ollama into workflows and applications.
• Monitor and maintain AI model performance over time.

This live course, available online or onsite at New Zealand, walks intermediate engineers through the process of building dynamic LLM workflows with LangGraph. Participants will learn to design stateful graphs, implement branching logic, and integrate retrieval, APIs, and memory to create robust, context-aware applications.

This instructor-led, live training in New Zealand (available online or on-site) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who wish to leverage LLMs to carry out diverse NLP tasks and create innovative, varied content for multiple purposes.

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

• Set up a development environment equipped with LLMs and essential tools.
• Expertly execute NLU and NLI tasks using LLMs.
• Effectively extract, infer, and apply knowledge graphs.
• Generate and manage dialogues with LLMs for conversational applications.
• Evaluate the quality and diversity of content produced by LLMs and generative AI.
• Apply ethical principles to ensure fairness and responsible use of LLMs.

This instructor-led, live training in New Zealand (online or on-site) is aimed at intermediate-level professionals who wish to enhance their NLP projects through the effective fine-tuning of pre-trained language models.

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

• Understand the fundamentals of fine-tuning for NLP tasks.
• Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
• Optimise hyperparameters for improved model performance.
• Evaluate and deploy fine-tuned models in real-world scenarios.

This instructor-led LangGraph Essentials course in New Zealand empowers developers to create graph-based LLM applications. You will learn core concepts such as nodes and edges, state management, and branching logic. The course covers integrating tools, retrieval systems, and external APIs, culminating in the testing and deployment of reliable workflows through hands-on labs.

This instructor-led session in New Zealand guides advanced AI engineers through the deployment and security implementation of Mistral Medium 3. Participants will learn to optimize inference costs, build multimodal workflows, and apply strict enterprise compliance practices. The course includes practical labs for both API and self-hosted configurations.

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for beginner-level professionals who wish to install, configure, and use Ollama to run AI models on their local machines.

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

• Understand the fundamentals of Ollama and its capabilities.
• Set up Ollama to run local AI models.
• Deploy and interact with LLMs using Ollama.
• Optimise performance and resource usage for AI workloads.
• Explore use cases for local AI deployment across various industries.

A two-day programme designed for developers who are already utilising AI coding tools like Cursor, Claude Code, or Copilot. It focuses on delegating end-to-end tasks to agents, constructing a personalisation stack (including Rules, AGENTS.md, Skills, MCP, and Agents), connecting and building MCP servers, executing agents in parallel, and implementing structured agentic workflows. The content is tool-agnostic and builds upon the Foundations course.

This two-day foundational course introduces AI-assisted software development to newcomers, including those with little or no coding experience. It explores how these tools function, how to guide them using prompts, and how to apply them to common scenarios such as building a small project from scratch, working within an existing codebase, and reviewing outputs. The content is tool-agnostic, applicable to Cursor, Claude Code, Copilot, and similar platforms. It serves as a prerequisite for the Agentic AI Development: Advanced Workflows course.

This two-step training programme is tailored for software delivery teams aiming to embed AI-assisted engineering workflows into their daily operations using Claude Code.

This course in New Zealand provides AI technical training, covering data analysis, distributed machine learning, and natural language processing, with the goal of helping developers build large-scale intelligent systems. It offers an in-depth exploration of practical methods for Spark MLlib, recommendation engines, Word2Vec semantic analysis, and RNN-LSTM architectures. This empowers professionals to transform raw data into automated decision pipelines ready for production deployment, comprehensively enhancing their core capability to build intelligent systems

This live, instructor-led training in New Zealand is tailored for intermediate-level developers looking to design, build, and test AI agents using the Claude API and the Agent SDK.

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

• Call the Messages API using system prompts, structured output, and streaming
• Define tools and implement a robust tool-use loop
• Connect agents to external systems via MCP servers
• Build and run agents with the Claude Agent SDK, including permissions and subagents
• Optimise cost and latency through prompt caching and effective context handling
• Test, log, and monitor agent behaviour using a small evaluation set

This instructor-led, live training in New Zealand is intended for intermediate to advanced developers and tech leads who seek to configure and scale Claude Code for consistent team adoption.

By the end of this training, participants will have the ability to:

• Structure CLAUDE.md files, settings, and permissions for repositories and teams
• Create custom subagents with focused roles and tool access
• Write hooks that automatically enforce formatting, testing, and safety rules
• Package recurring workflows as Skills, slash commands, and plugins
• Connect Claude Code to external systems via MCP servers
• Run Claude Code non-interactively in scripts and CI pipelines, and critically review its output

This live, instructor-led training in New Zealand caters to business users aiming to build simple internal tools and prototypes.

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

• Define small tools clearly so that AI can construct them
• Create a working prototype with Lovable
• Utilise Claude Code for basic helper tools with guided assistance
• Determine when a prototype requires input from a developer

This live, instructor-led training, conducted in New Zealand, is tailored for professionals and managers who wish to delegate full task cycles to Claude.

By the end of the session, participants will be equipped to:

• Comprehend the autonomous functions of Claude Cowork
• Delegate research, document creation and file handling
• Coordinate, assess and adjust delegated work products
• Understand limitations and protocols for safe operation

Instead of responding to single prompts, Claude Cowork handles complete workflows, including research, document creation, and file management. This course guides you through crafting effective briefs, validating execution plans, and assessing final deliverables. Participants will delegate three practical assignments and configure an automated recurring task.

This live, instructor-led session in New Zealand is designed for knowledge professionals, assistants, and project or department leads looking to transfer entire workstreams to Claude rather than engaging in step-by-step conversations.

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

• Distinguish between interactive chat and delegated tasks within Cowork
• Structure briefs that clearly define objectives, source materials, constraints, and success criteria
• Generate documents, spreadsheets, and presentations directly from designated folders
• Delegate comprehensive research tasks from initial inquiry to final report
• Leverage plugins, skills, and connectors within the Cowork environment
• Establish approval gates, backup protocols, and secure folder access controls

Course Structure

• Duration: 1 day (7 hours)
• Interactive training featuring a trainer, collaborative discussions, and hands-on exercises tailored to participants' specific use cases
• Outcome for Day 1: Each participant will have successfully delegated three real-world tasks to Cowork, reviewed the outputs, and established a scheduled task.

Customization Options

• For inquiries regarding customized training based on this curriculum, please contact us to make arrangements.

Ollama serves as an open-source tool for executing large language models locally on both consumer and enterprise hardware. By abstracting model quantization, GPU allocation, and API serving into a single command-line interface, it empowers organizations to self-host LLMs such as Llama, Mistral, and Qwen, ensuring that prompts and data remain internal rather than being sent to OpenAI, Anthropic, or Google.