Generative AI Training in Auckland

This instructor-led, live training in Auckland (delivered online or on-site) is designed for intermediate-level tourism professionals who wish to harness Generative AI to boost customer engagement, streamline content creation, and elevate the overall travel experience.

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

• Understand the role of Generative AI in tourism and hospitality.
• Use AI tools to generate personalised travel recommendations.
• Automate customer interactions through AI-powered chatbots.
• Strengthen marketing strategies with AI-generated content.

This instructor-led, live training in Auckland (delivered online or on-site) is tailored for intermediate-level developers aiming to build AI-powered applications through the use of predictive analytics and generative models.

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

• Understand the fundamentals of predictive AI and generative models.
• Leverage AI-enhanced tools for predictive coding, forecasting, and automation.
• Integrate LLMs (Large Language Models) and transformer architectures for text and code generation.
• Apply time-series forecasting methods and AI-based recommendation systems.
• Develop and fine-tune AI models for practical, real-world applications.
• Evaluate ethical considerations and adhere to best practices in AI deployment.

This instructor-led, live training in Auckland (online or onsite) is designed for intermediate-level AI professionals, business analysts, and technology leaders keen to grasp the principles of generative AI and explore LLM applications within business contexts. Participants will gain insights into transformers, prompt engineering, and the ethical considerations involved in deploying these models for practical solutions.

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

• Comprehend the foundational principles of generative AI and large language models.
• Implement and fine-tune LLMs for specific business applications.
• Apply prompt engineering techniques to achieve optimal model outputs.
• Identify ethical considerations and manage risks associated with LLM deployment.

This instructor-led, live training in Auckland (online or on-site) is aimed at intermediate-level manufacturing engineers, process improvement specialists, and AI developers who wish to apply Generative AI to improve manufacturing processes and outcomes.

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

• Understand the fundamentals of Generative AI and its applications in manufacturing.
• Apply Generative AI for design optimisation and predictive maintenance.
• Analyse and interpret AI-generated data to make informed decisions.
• Implement AI solutions to improve production efficiency and product quality.

This instructor-led, live training in Auckland (available online or in person) is designed for beginner to intermediate-level AI developers and enthusiasts aiming to leverage the potential of generative AI using Azure OpenAI.

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

• Grasp the fundamentals of AI, Generative AI, and the OpenAI API.
• Set up and manage the Azure OpenAI account and studio.
• Deploy and administer Azure OpenAI services effectively.
• Integrate generative AI models across diverse applications.

This instructor-led, live training in Auckland (online or on-site) is designed for intermediate-level Java developers, software engineers, and cloud enthusiasts who want to leverage Azure OpenAI to build intelligent applications.

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

• Understand the core principles of Generative AI and its practical applications.
• Set up and manage an Azure OpenAI service.
• Integrate OpenAI's models into Java applications.
• Deploy AI-driven features within web applications.

This instructor-led, live training in Auckland (online or on-site) is designed for intermediate-level content creators, marketing professionals, and business strategists who want to master generative AI tools for automating content creation across various mediums.

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

• Understand the fundamentals of generative AI and its applications in content creation.
• Use generative AI tools to automate the generation of text, images, audio, and video.
• Apply prompt engineering techniques to achieve optimal content generation outcomes.
• Stay current with the latest trends and advancements in generative AI.

This instructor-led, live training in Auckland (online or onsite) is aimed at intermediate-level game developers, designers, and AI enthusiasts who wish to leverage generative AI to develop innovative gaming environments and characters.

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

• Understand the core concepts of generative AI and its application in gaming.
• Implement procedural content generation to create expansive game worlds.
• Design and develop AI-driven characters and narratives.
• Evaluate the ethical implications of AI in gaming.

This instructor-led, live training in Auckland (online or on-site) is aimed at retail managers, e-commerce professionals, and AI specialists at all levels of expertise who wish to leverage generative AI to drive innovation and efficiency in retail operations.

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

• Understand the role of generative AI in retail and its potential benefits.
• Implement generative AI tools for enhancing customer experience.
• Utilise generative AI for optimising inventory management.
• Apply generative AI techniques for accurate sales forecasting.
• Integrate generative AI solutions into retail operations effectively.

This instructor-led, live training in Auckland (online or onsite) is designed for finance professionals, fintech developers, and AI specialists at all levels of expertise who wish to harness generative AI to reshape financial services.

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

• Grasp the fundamentals of generative AI and its applications in financial services.
• Leverage generative AI tools and platforms for risk assessment, fraud detection, and customer engagement.
• Build custom solutions using generative AI for financial services.
• Integrate generative AI solutions into existing financial systems and processes.
• Analyse and optimise generative AI models to enhance performance.

This instructor-led, live training in Auckland (online or onsite) is aimed at marketing professionals, digital strategists, and tech enthusiasts at all levels who wish to harness the power of generative AI to create personalised marketing campaigns.

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

• Understand the fundamentals of generative AI and its applications in marketing.
• Utilise generative AI tools and platforms for campaign creation.
• Develop personalised marketing content using AI models.
• Integrate AI-generated content into broader marketing strategies.
• Analyse and optimise AI-driven marketing campaigns for better performance.

This instructor-led, live training in Auckland (online or on-site) is designed for advanced-level AI researchers, creative professionals, and senior developers who wish to explore generative AI techniques, implement AI-driven creative workflows, and develop applications using DeepSeek models.

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

• Understand the generative AI capabilities of DeepSeek models.
• Generate text, images, and creative content using AI.
• Optimise AI-generated outputs for various creative applications.
• Develop AI-powered tools for storytelling, design, and media.

This instructor-led, live training in Auckland (delivered online or onsite) is designed for game developers, artists, musicians, and entertainment industry professionals at a beginner to intermediate level who aim to utilize generative AI to innovate in the entertainment space.

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

• Comprehend the basics of generative AI and its function in creative processes.
• Explore the application of AI in producing music, literature, and visual arts.
• Examine the effect of AI on video game development and player engagement.
• Address the ethical aspects of using AI in artistic endeavors.
• Design and execute AI-centric projects within the entertainment sector.

This instructor-led, live training in Auckland (delivered either online or on-site) is designed for healthcare professionals, data analysts, and policy makers at beginner to intermediate levels who wish to understand and apply generative AI within the healthcare context.

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

• Explain the core principles and practical applications of generative AI in healthcare.
• Identify opportunities where generative AI can enhance drug discovery and support personalised medicine.
• Apply generative AI techniques to medical imaging and diagnostic processes.
• Evaluate the ethical implications of deploying AI in clinical and medical settings.
• Develop effective strategies for integrating AI technologies into existing healthcare systems.

This instructor-led, live training in Auckland (available online or on-site) is designed for intermediate to advanced-level robotics engineers and AI researchers who wish to design and implement autonomous robotic systems using Generative AI techniques.

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

• Understand the core concepts of Generative AI as they apply to robotics.
• Design and simulate autonomous robots using Generative AI models.
• Implement AI algorithms for robotic perception and decision-making.
• Evaluate the impact of AI-driven robots across various industries.
• Address the ethical considerations involved in deploying autonomous robotic systems.

This instructor-led, live training in Auckland (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.

This instructor-led, live training in Auckland (online or on-site) is designed for intermediate-level data professionals seeking to create synthetic datasets for AI model training, particularly when real data is scarce or sensitive.

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

• Understand the role and creation of synthetic data within Generative AI.
• Implement Generative AI models to generate high-quality synthetic data.
• Assess the quality and utility of synthetic datasets.
• Navigate the ethical and legal considerations associated with using synthetic data.
• Apply synthetic data strategies to address real-world AI challenges.

This instructor-led, live training in Auckland (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate generative AI into their software development lifecycle (SDLC).

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

• Understand the role and capabilities of generative AI in software development.
• Utilise AI tools for coding, debugging, and code reviews.
• Apply AI techniques for efficient root cause analysis.
• Implement AI features to enhance the software development process.
• Evaluate ethical considerations and best practices for AI in development.

This instructor-led, live training in Auckland (online or on-site) is designed for intermediate to advanced cyber security professionals, IT managers, and policy makers who want to understand the profound impact Generative AI is having on cyber security.

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

• Understand the capabilities and applications of Generative AI in cyber security.
• Identify and anticipate AI-powered cyber threats and attacks.
• Explore how Generative AI can strengthen cyber defence mechanisms.
• Evaluate the ethical and legal considerations of using Generative AI in cyber security.
• Develop strategies to integrate Generative AI into their cyber security practices.

This instructor-led, live training in Auckland (available online or onsite) is designed for intermediate to advanced-level managers who wish to understand and leverage Generative AI within their business strategies.

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

• Grasp the fundamental concepts and capabilities of Generative AI.
• Identify opportunities for applying Generative AI within their organisations.
• Understand the ethical and legal considerations associated with using Generative AI.
• Lead discussions and make informed decisions regarding AI projects.
• Develop a roadmap for integrating Generative AI into their business processes.

This instructor-led, live training in Auckland (delivered online or on-site) is aimed at advanced-level AI enthusiasts and developers who wish to utilise Perplexity AI for complex problem-solving and research.

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

• Implement advanced AI techniques using Perplexity AI.
• Analyse complex datasets and extract valuable insights.
• Apply AI concepts to real-world problem-solving.
• Integrate Perplexity AI with existing AI workflows.

This instructor-led, live training in Auckland (available online or on-site) is designed for intermediate to advanced-level data scientists, machine learning engineers, and AI practitioners who wish to explore complex generative models and their applications across various industries.

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

• Implement and train advanced generative models, including GANs, VAEs, and diffusion models.
• Understand and apply the Transformer architecture to generative tasks.
• Explore the ethical implications and challenges associated with Generative AI.
• Apply advanced generative techniques to solve real-world problems across diverse industries.
• Stay current with the latest research trends and future directions in Generative AI.

This instructor-led, live training in Auckland (available online or on-site) is designed for intermediate-level developers seeking to learn how to apply generative AI with LLMs across various tasks and domains.

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

• Explain what generative AI is and how it works.
• Describe the transformer architecture that powers LLMs.
• Use empirical scaling laws to optimise LLMs for different tasks and constraints.
• Apply state-of-the-art tools and methods to train, fine-tune, and deploy LLMs.
• Discuss the opportunities and risks of generative AI for society and business.

This instructor-led, live training in Auckland (online or onsite) is aimed at beginner-level developers who wish to gain foundational knowledge and practical experience in Generative AI.

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

• Understand the principles behind generative models and their applications.
• Implement basic generative models using TensorFlow or PyTorch.
• Generate new content using Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).
• Explore the ethical implications of generative AI.
• Apply generative AI concepts to real-world scenarios.

This instructor-led, live training in Auckland (online or onsite) is aimed at advanced-level video producers, editors, and AI enthusiasts who wish to use AI technologies to enhance their video production workflows.

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

• Utilise InVideo’s AI tools to streamline video editing processes.
• Implement AI-driven techniques for automated video content creation.
• Create professional-quality videos using AI-based templates.
• Optimise AI-powered workflows for increased productivity in video production.

This live, instructor-led training in Auckland (available online or onsite) is tailored for beginner-level designers, artists, and content creators aiming to use Adobe Firefly to elevate their creativity and productivity.

By the conclusion of this training, participants will be capable of:

• Setting up a development environment that incorporates Adobe Firefly and Adobe Creative Cloud.
• Creating images, text effects, and color palettes from text prompts via Adobe Firefly.
• Utilizing Adobe Firefly within Adobe apps like Photoshop, Illustrator, and Express.
• Generating content that is secure for commercial use and honours the rights of content creators.
• Applying ethical and responsible principles when working with generative AI.

This instructor-led, live training in Auckland (online or on-site) is designed for intermediate-level digital marketers, influencers, and brand strategists who aim to maximise audience engagement through AI-powered video content.

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

• Understand the capabilities and features of InVideo AI.
• Create compelling video content tailored to their target audience.
• Implement strategies to boost viewer interaction and retention.
• Analyse performance metrics to refine video marketing strategies.

This instructor-led, live training in Auckland (available online or on-site) is designed for beginner to intermediate-level data scientists, AI developers, and AI enthusiasts who wish to leverage generative AI to create novel and diverse content for a range of purposes.

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

• Set up a development environment that includes generative AI models and tools.
• Create images, text, audio, and other content from text prompts using generative AI.
• Apply generative AI across various domains such as art, design, entertainment, and education.
• Evaluate the quality and diversity of content generated by generative AI.
• Understand the ethical and social implications of generative AI.

This instructor-led, live training in Auckland (online or onsite) is aimed at beginner-level social media managers, content creators, and marketing professionals who wish to harness the power of InVideo AI for producing compelling video content for social media platforms.

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

• Utilise InVideo AI to transform text into engaging video content.
• Navigate and make the most of InVideo's AI-driven video creation platform.
• Enhance social media strategies with AI-generated video content.
• Analyse and optimise video engagement using AI insights.

This 5-day course in Auckland provides finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to create intelligent dashboards, optimise GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision-making support.

This facilitated, live learning experience in Auckland is designed for cross-functional teams from both business and IT.

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

• Identify and prioritise AI use cases
• Construct working prototypes in small team settings
• Present findings and proposed next steps
• Incorporate prototypes into the AI roadmap

This company hackathon empowers cross-functional teams, including IT and business departments, to apply AI to their own operational challenges and leave with practical, working solutions. The programme integrates two pre-event discovery sessions for tool onboarding, a 24-hour sprint, and a final pitch to leadership. By the conclusion, each team will have a functional prototype and a concrete rollout plan for the following week.

This instructor-led, live training in Auckland is designed for: Cross-functional teams from business units and IT who are eager to experiment with AI to address their specific issues and retain functional solutions for ongoing use.

Upon completing this training, participants will be able to:

• Reframe departmental problems and bottlenecks into actionable, solvable challenges
• Demonstrate familiarity with eight to ten AI tools and select the most appropriate one for specific tasks
• Collaborate in small teams to build a working solution
• Evaluate potential solutions based on business value and technical feasibility
• Effectively present results through a structured pitch
• Develop a practical implementation plan for use in the week following the event

Course Structure

• Duration: Two on-site days (inclusive of a 24-hour sprint) supported by two pre-event discovery sessions
• Interactive training featuring an instructor, facilitated discussions, and hands-on exercises focused on participants' real-world use cases
• Pre-event Outcome: Challenges, tool selections, and success metrics are clearly defined.
• Day 1 Outcome: Each team refines its challenge and develops an initial working prototype.
• Day 2 Outcome: Each team finalizes a working solution, delivers a pitch, and establishes a plan for adoption in the following week.

Customisation Options

• To request a tailored version of this training, please contact us to discuss arrangements.

This instructor-led, live training in Auckland (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level Primary and High School teachers who wish to use AI tools to save time, improve lesson planning, and create engaging learning activities.

By the end of this training, participants will be able to: explain AI in simple terms, use AI tools for everyday teaching tasks, check and improve AI outputs, and apply responsible classroom guidelines.

This practical workshop is specifically designed around the workflows of a single team and utilises the AI tool already sanctioned by the organisation. It explores prompting strategies, sustainable configurations such as dedicated projects and assistants, file management, and safe operational practices. Participants will depart with a collective repository of prompts and completed tasks drawn from their own daily operations.

This instructor-led, live training session in Auckland is designed for: Teams within case management, specialist divisions, research units, or IT support who possess introductory experience with AI and seek to enhance outcomes for their specific duties.

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

• Grasp the internal model processes during prompting and understand why AI generates hallucinated details
• Craft instructions that clearly define the role, task, context, examples, output format, and constraints
• Deconstruct complex assignments and refine results through targeted methods
• Implement persistent solutions using custom instructions, memory features, projects, and personal assistants
• Effectively manage files, scanned documents, tables, and research-related assignments
• Validate outputs, re-verify numerical data, and ensure data protection
• Establish and reuse customised templates for the entire team

Course Format

• Duration: One full day (7 hours) or two sessions of 4 hours each, delivered online or onsite for groups of up to 15 participants
• An interactive learning experience led by a trainer, featuring discussions and hands-on exercises focused on the participants' specific use cases
• Outcome, Block 1: Every participant secures at least one verified template applicable to their own work
• Outcome, Block 2: Each team establishes a shared prompt library, a common project structure, and two resolved tasks derived from real-world daily workflows

Customisation Options

• For tailored training adjustments, please get in touch to discuss requirements

This instructor-led, live training in Auckland (online or onsite) is aimed at developers, architects, and technical professionals who wish to use Alibaba Cloud to create, test, and deploy generative AI applications for business use cases.

By the end of this training, participants will be able to: understand Alibaba Cloud generative AI services, build prompts and workflows with Qwen models, create a simple retrieval-based AI solution, and deploy AI applications with proper security and cost awareness.

Claude delivers significantly more than a simple chat interface. With features like projects, artifacts, skills, connectors, and Cowork, it can manage routine tasks across administration, finance, procurement, and HR. This two-day course demonstrates how these components integrate to streamline workflows tailored to your specific needs. Participants will depart with a functional project, a custom skill, and a routine ready for immediate application in the following week.

This instructor-led, live training in Auckland is designed for employees in administration, finance, procurement, HR, project, and process management who are either using or implementing Claude in their organisation and wish to move beyond basic chat interactions.

Upon completing this training, participants will be able to:

• Differentiate between Claude's various models and interfaces, selecting the most appropriate option for specific tasks
• Configure projects using instructions and knowledge files to ensure continuity, avoiding the need to start from scratch each time
• Leverage artifacts to generate reports, tables, summaries, and lightweight interactive tools
• Develop, test, and share a custom skill to automate recurring tasks
• Establish connectors for mailboxes, calendars, and file storage, while intentionally restricting access permissions
• Delegate tasks to Claude Cowork and automated routines, and subsequently review the outcomes
• Establish team-wide guidelines for data privacy, review processes, and the use of shared templates

Course Format

• Duration: Two days (7 hours per day)
• Interactive sessions featuring a trainer, facilitated discussions, and hands-on exercises focused on participants' own use cases
• Outcome, Day 1: Each participant will have a configured project for their use case, two enhanced templates, and a initial artifact created from real-world data.
• Outcome, Day 2: Each participant will leave with a functional skill, an active connector, a configured routine, and a plan for the next 30 days.

Course Customisation Options

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

This live, instructor-led training in Auckland is tailored for teams aiming to align their workflows and share expertise within Claude.

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

• Establish Claude Projects enriched with team knowledge
• Build reusable Skills for routine tasks
• Utilise Artifacts for document creation, overviews, and simple tools
• Adopt consistent team-wide working practices

Skills transform routine tasks into reusable procedures that Claude executes consistently each time. This course guides you through identifying suitable tasks, developing skills, validating their performance, and rolling them out across your team. Each participant will develop and test a skill for a practical, real-world task.

This instructor-led, live session in Auckland is tailored for specialist users and power users who aim to handle recurring tasks with consistent quality and reliability using Claude.

Upon completing this training, participants will be able to:

• Understand what a skill is and how it contrasts with a project, an instruction, or an agent
• Identify tasks that are well-suited for conversion into a skill
• Author skills that include descriptions, workflows, examples, and templates
• Test skills against real-world scenarios and refine them
• Distribute, version, and maintain skills within the team
• Integrate skills with connectors and Cowork

Course Format

• Duration: 1 day (7 hours)
• Interactive training featuring an instructor, facilitated discussions, and hands-on exercises based on participants' specific use cases
• Day 1 Outcome: Each participant will possess a validated skill for a real, recurring task, ready for team sharing, along with a list of future skill candidates.

Customisation Options

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

Departments such as administration, finance, legal, procurement, warehousing, and customer support can significantly improve efficiency when Claude is tailored to their specific documentation and operational routines. This modular programme integrates a shared foundational session with department-specific days focused on real-world documents. By the end, every department will have implemented at least one streamlined workflow, effective from the week following the training.

This live, instructor-led training in Auckland is designed for teams in administration, finance, legal, procurement, warehousing, and customer support within mid-sized organisations, welcoming both beginners and experienced users.

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

• Leverage Claude for specific departmental tasks, moving beyond its role as a simple chatbot
• Develop custom projects and knowledge bases tailored to their department's needs
• Analyze and compare contracts, invoices, and receipts using Claude, and extract key data points
• Draft inquiries, quotes, and multilingual customer communications more efficiently, ensuring consistent quality
• Integrate Claude with Outlook and file storage systems to automate initial recurring workflows
• Establish at least one accelerated workflow per department that becomes operational the following week

Course Structure

• Duration: 3 days, delivered in a modular format (one shared foundational day and two department-specific days)
• Interactive sessions featuring a trainer, discussions, and practical exercises based on participants' own use cases
• Day 1 Outcome: All participants will operate confidently with Claude, and each team will have established their own department-specific project using real documents.
• Day 2 Outcome: Administration and finance teams will each possess one accelerated workflow using Claude, alongside a validated skill.
• Day 3 Outcome: Every department will have at least one concrete, accelerated workflow, and teams will understand the next steps toward further automation.

Customization Options

• Interested in a customized training experience for this course? Please get in touch with us to discuss arrangements.

This instructor-led, live training in Auckland (online or onsite) is aimed at digital artists, designers, and creative professionals who wish to use ComfyUI to generate images, video, 3D assets, and audio through node-based AI workflows without writing code.

This instructor-led, live training is aimed at beginner-level business professionals and leaders who wish to prepare for the Google Cloud Generative AI Leader certification.

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

• Explain generative AI fundamentals and Google's foundation models.
• Describe Google Cloud's gen AI offerings and agent tooling.
• Apply prompt engineering, grounding, and RAG to improve output.
• Understand secure and responsible AI for business adoption.

This instructor-led, live training in Auckland (online or on-site) is designed for developers at beginner, intermediate, and advanced levels, as well as cloud engineers and technical product teams who want to use Google Cloud's generative AI tools to build and evaluate practical AI applications.

By the end of this training, participants will be able to: understand Google Cloud's generative AI services, create effective prompts and workflows, build simple applications using Vertex AI, and apply responsible AI practices.

This instructor-led, live training (online or onsite) is aimed at training managers, instructional designers, and learning and development professionals who wish to use generative AI to modernise training programmes and improve efficiency.

This 3.5-hour, dynamic, and high-impact webinar is designed to establish broad AI literacy. It centres on the critical "what, why, and how" of Generative AI, with a strong focus on immediate, practical applications and essential security awareness.

Upon completing this training, participants will be able to:

• Comprehend the core concepts of Generative AI and how they relate to their specific roles.
• Master the foundational principles of effective prompting to achieve superior outcomes.
• Pinpoint high-value daily tasks that can be streamlined with AI (e.g., drafting emails, summarizing content).
• Identify and mitigate key security, privacy, and ethical risks (e.g., "hallucinations," data breaches).

This instructor-led live training in Auckland is designed for staff and primary users working with Langdock.

By the conclusion of this training, participants will be capable of:

• Confidently using Langdock chat and models
• Building assistants informed by company knowledge
• Employing simple workflows and integrations
• Sharing assistants within the team

Langdock consolidates multiple AI models, assistants, enterprise knowledge bases, and workflow automation into a unified platform. This course focuses on practical daily applications, including engaging in chat interactions, developing and sharing AI assistants, integrating diverse knowledge sources, and configuring workflows that incorporate human approval steps. Additionally, it addresses essential governance rules regarding data management, user roles, and organisational rollout strategies.

This instructor-led, live training in Auckland is specifically designed for departments and key stakeholders in organisations that are currently utilising or preparing to adopt Langdock as their central AI hub.

Upon completing this training, participants will be equipped to:

• Utilise Langdock with confidence, navigating chat features, model selection, assistant creation, knowledge integration, and workflow management
• Select the most appropriate AI model for specific operational tasks
• Develop assistants using custom instructions and company-specific knowledge, then deploy them across the team
• Integrate data sources such as SharePoint and OneDrive to establish a comprehensive knowledge base
• Configure straightforward workflows that include manual approval checkpoints
• Establish clear internal policies regarding data handling, role definitions, and approval procedures

Course Format

• Duration: Two days (seven hours each); an alternative four-half-day online format is also available
• An interactive training experience featuring live instructor guidance, open discussions, and hands-on exercises tailored to participants' specific use cases
• Day 1 Outcome: Every participant will have created a prompt template, a dedicated knowledge folder, and a shared assistant tailored to their department
• Day 2 Outcome: Every participant will have implemented an active workflow with approval gates, connected a live knowledge source, and developed a strategic plan for the next 30 to 60 days

Customisation Options

• Contact us to arrange a customised training programme tailored to this course.

Organisations can delegate numerous repetitive tasks to AI agents without any coding, as long as the objectives, necessary knowledge, and control mechanisms are clearly defined. This two-day programme takes participants from initial task profiling to a fully tested agent equipped with tools, approval checkpoints, and operational documentation. Throughout the course, each participant focuses on a specific workflow relevant to their own professional context.

This instructor-led, live training in Auckland is designed for: Specialist users, key users, and process owners looking to delegate recurring operational work to AI agents.

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

• Distinguish the functional differences between AI agents, simple chatbots, and virtual assistants
• Identify tasks that are suitable candidates for automation via agents
• Design agents with defined goals, instructions, knowledge bases, tools, and operational limits
• Create code-free agents and validate them using real-world scenarios
• Integrate approval points and human oversight mechanisms
• Evaluate maintenance requirements, costs, and operational risks

Course Structure

• Duration: Two days (seven hours per day)
• Interactive training featuring an instructor, group discussions, and hands-on exercises based on participants' own use cases
• Day 1 Outcome: Participants will have a defined agent profile and an initial, tested agent for their specific workflow.
• Day 2 Outcome: Participants will have an agent configured with tools, approval points, test cases, and concise operational documentation.

Customisation Options

• To arrange a tailored version of this training, please contact us to discuss your requirements.

This instructor-led, live training in Auckland (online or onsite) is designed for business and technical professionals who want to build no-code AI solutions spanning documents, data, images, custom assistants, and automation, and then combine these elements into a functional workflow. No coding skills are required.

A personal AI agent can streamline email management, schedule appointments, draft briefings and execute routines like a morning overview. This one-day course guides you through setting up an agent with a tailored personal context, connectors, and clear protocols for approval and data protection. Participants will leave with a functional agent and two automated routines in place.

This instructor-led, live training in Auckland is designed for professionals, assistants, project managers and self-employed individuals looking to implement a personal AI agent for their own workflows.

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

• Understand the capabilities and limitations of a personal AI agent.
• Create a personal context using profiles, instructions and notes.
• Manage email and calendar using AI while retaining full control.
• Prepare for meetings and conversations using automatic briefings.
• Establish routines such as morning overviews and weekly reviews.
• Define approval workflows, data protection measures and operational limits for their agent.

Course Format

• Duration: 1 day (7 hours)
• Interactive training with an instructor, including discussions and hands-on exercises based on participants' specific use cases.
• Outcome, Day 1: Each participant will have a configured personal agent with a profile, connected mailbox and calendar, and two active routines.

Course Customisation Options

• To request a customised training tailored to your needs, please contact us to arrange a suitable time.