Google AI Training in Christchurch

Nano Banana is a lightweight large language model framework designed for efficient, low-cost, real-world use across devices and enterprise environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand how lightweight LLMs can be deployed for practical, on-device, and cost-efficient applications.

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

• Explain the core concepts underpinning lightweight LLMs and Nano Banana.
• Identify appropriate use cases for on-device and low-cost AI deployment.
• Evaluate Nano Banana’s capabilities for business and IT scenarios.
• Make informed decisions regarding integration pathways within their organisation.

Course Format

• Instructor-led explanations supported by interactive dialogue.
• Practical exercises designed to reinforce key concepts.
• Hands-on exploration of lightweight LLM capabilities.

Course Customisation Options

• For tailored versions of this training, please contact us to customise the program.

Nano Banana is a lightweight AI framework designed for efficient on-device model execution on Android.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level Android developers who wish to integrate optimised AI capabilities directly into mobile applications.

Upon completing this training, participants will be able to:

• Integrate the Nano Banana SDK into Android Studio projects.
• Implement real-time AI inference using Nano Banana APIs.
• Optimise model performance for constrained mobile environments.
• Apply best practices for secure, privacy-preserving on-device AI.

Format of the Course

• Guided presentations and collaborative discussions.
• Practical coding exercises to reinforce core concepts.
• Hands-on implementation using real-world Android examples.

Course Customisation Options

• For tailored versions of this course, please reach out to arrange a customised programme.

Nano Banana is an on-device AI framework designed to run models locally while maintaining strict privacy and regulatory compliance.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to implement privacy-preserving AI features on mobile devices using Nano Banana for regulated or sensitive environments.

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

• Build mobile applications that process data privately on-device.
• Integrate Nano Banana to enable compliant AI workflows.
• Apply privacy-enhancing techniques such as anonymisation and secure processing.
• Evaluate and mitigate privacy risks during mobile AI development.

Course Format

• Guided instruction supported by discussion and Q&A.
• Practical exercises involving privacy-focused mobile AI scenarios.
• Hands-on implementation within a real development environment.

Course Customisation Options

• For organisation-specific needs or sector-specific compliance topics, please contact us to customise this programme.

Nano Banana is a lightweight AI framework designed to accelerate and compress models for efficient on-device and edge deployment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to optimise, compress, and deploy AI models for edge environments using Nano Banana.

At the conclusion of the program, learners will be able to:

• Apply compression and quantisation techniques to AI models.
• Accelerate inference performance for edge devices.
• Convert and deploy models using Nano Banana's toolchain.
• Evaluate trade-offs between accuracy, latency, and resource usage.

Format of the Course

• Instructor-led technical sessions and guided discussion.
• Hands-on exercises using real-world edge-AI scenarios.
• Practical implementation using a configured live environment.

Course Customisation Options

• For tailored content or organisation-specific adaptations, please reach out to arrange a customised version of this course.

Nano Banana is a specialised model optimised for fast, efficient on-device AI execution.

This instructor-led, live training (delivered online or on-site) is designed for intermediate-level practitioners who wish to design and deploy AI-powered mobile applications using Nano Banana without relying on cloud infrastructure.

Upon completing this programme, attendees should be able to:

• Implement Nano Banana models directly on mobile devices.
• Optimise AI workloads for performance and energy efficiency.
• Integrate text and image generation features into mobile apps.
• Troubleshoot, benchmark, and refine on-device inference pipelines.

Course Format

• Instructor-guided demonstrations and collaborative discussion.
• Practical exercises focused on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Course Customisation Options

• If you require a tailored version of this course, please contact us to discuss customisation options.

Gemini 3 is an AI-powered system that enhances Google Search and workplace productivity through AI Mode.

This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to leverage Gemini 3 to streamline research, planning, analysis, and daily knowledge work.

Throughout this training, participants will gain the skills needed to:

• Use Gemini 3 in AI Mode to accelerate research and information discovery.
• Apply Gemini-assisted workflows to summarise content and extract insights.
• Integrate Gemini 3 features into everyday productivity tasks.
• Adopt best practices for responsible and reliable use of AI tools.

Format of the Course

• Instructor-guided presentations and demonstrations.
• Structured hands-on exercises for practical skill building.
• Real-world applications using live search and productivity scenarios.

Course Customisation Options

• For tailored training adapted to your workflows, please contact us to discuss customisation options.

Gemini 3 is a multimodal AI system that incorporates enhanced safeguards, governance features, and resilience against adversarial manipulation.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement secure, responsible, and policy-aligned deployments of Gemini 3.

Upon completing this course, participants will be able to:

• Apply Gemini 3 safety features to reduce misuse risks.
• Implement governance frameworks aligned with organisational policies.
• Strengthen systems against prompt injections and adversarial inputs.
• Evaluate deployments for compliance and operational integrity.

Course Format

• Guided instruction featuring real-world safety examples.
• Hands-on labs focused on governance and secure prompting.
• Practical exercises using controlled test environments.

Course Customisation Options

• Custom governance scenarios or security-focused labs can be added upon request.

Gemini 3 is an advanced multimodal AI system designed to support deep reasoning, high-context tasks, and long-form analytical workflows.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to leverage Deep-Think Mode to conduct complex analysis, modelling, and strategic planning.

By completing this course, participants will be equipped to:

• Apply Deep-Think Mode to solve intricate, multi-layered problems.
• Design reasoning pipelines that incorporate long-context analysis.
• Optimise prompts for iterative, multi-step reasoning tasks.
• Integrate Deep-Think capabilities into research or production workflows.

Format of the Course

• Expert-led presentations with real examples.
• Hands-on reasoning labs and structured exercises.
• Applied development using live experimentation environments.

Course Customisation Options

• Customised sessions or domain-specific deep-reasoning projects can be arranged upon request.

Gemini 3 is a multimodal AI platform capable of processing and reasoning across images, video, audio, and text.

This instructor-led, live training (online or on-site) is designed for intermediate-level practitioners who wish to design and build applications that leverage Gemini 3's cross-modal intelligence.

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

• Integrate Gemini 3 multimodal endpoints into real-world workflows.
• Process and interpret visual, audio, video, and text inputs within unified pipelines.
• Build interactive prototypes using multimodal prompts.
• Optimise multimodal outputs for performance, accuracy, and usability.

Course Format

• Guided lectures with live demonstrations.
• Scenario-based exercises and hands-on practice.
• Practical implementation using live development environments.

Course Customisation Options

• For tailored content or custom project-based training, please contact us to arrange.

Google Antigravity is an agentic development environment engineered to create autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

This instructor-led, live training (available online or on-site) is designed for advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analysing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimise agent behaviour, safety, and reliability in complex environments.

Course Format

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customisation Options

• If your team requires domain-specific agent behaviours or custom integrations, please contact us to tailor the program.

Vertex AI offers streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This empowers developers and product teams to deliver AI-powered features at the app level, such as intelligent assistants, multimodal input handling, and personalised user experiences.

This instructor-led, live training (delivered online or on-site) is designed for beginner-to-intermediate-level practitioners who wish to embed Vertex AI Gemini capabilities into applications using Firebase and related SDKs.

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

• Set up Firebase and SDKs for Vertex AI integration.
• Embed Gemini-powered features into mobile and web apps.
• Handle multimodal inputs such as text, image, and audio in client apps.
• Deploy and monitor AI features in production applications.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs using Firebase and Vertex AI SDKs.
• Project-based exercises focused on app-level AI features.

Course Customisation Options

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

Gemini 3 is a multimodal AI model designed to reason across text, images, and structured inputs to support complex enterprise workflows.

This instructor-led, live training (available online or on-site) is aimed at intermediate-level professionals who wish to build reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.

Upon completing this course, participants will be equipped to:

• Leverage Gemini 3's reasoning capabilities for enterprise planning and decision-making workflows.
• Design multimodal processes that incorporate text, images, documents, and tabular data.
• Develop business workflows using AI Studio and Vertex AI tools.
• Optimise outputs through prompt engineering and iterative refinement techniques.

Course Format

• Guided demonstrations supported by expert explanations.
• Practical exercises focused on workflow design and multimodal tasks.
• Hands-on experimentation in AI Studio or Vertex AI environments.

Course Customisation Options

• If your organisation requires tailored workflow scenarios or data integration examples, please contact us to adapt the training.

Vertex AI delivers enterprise-grade tools for managing the entire machine learning lifecycle, encompassing observability, compliance, and operational excellence. With capabilities such as live monitoring, data residency controls, grounding, and integrated Gen AI evaluation, Vertex AI is purpose-built to meet the rigorous demands of production-grade AI systems.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level professionals seeking to deploy, monitor, and govern Vertex AI models within enterprise environments.

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

• Establish MLOps pipelines using Vertex AI.
• Monitor and gain real-time insights into model performance.
• Apply grounding techniques and evaluation tools for Gen AI models.
• Implement compliance and governance strategies, including data residency controls.

Course Format

• Interactive lectures and group discussions.
• Hands-on labs using enterprise-grade Vertex AI tools.
• Case studies and compliance-focused scenarios.

Course Customisation Options

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

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, assist with research, and improve productivity through more advanced AI interactions.

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

• Craft more effective and tailored prompts for specific use cases.
• Generate original and creative content using Gemini.
• Summarise and compare complex information with precision.
• Use Gemini for brainstorming, planning, and organising ideas efficiently.

Vertex AI offers robust tools for developing multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. With support for extended context windows and configurable Gemini API parameters, it enables sophisticated applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level practitioners who aim to design, build, and optimise multimodal AI workflows within Vertex AI.

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

• Leverage Gemini models for multimodal inputs and outputs.
• Implement long-context workflows to support complex reasoning tasks.
• Design pipelines that integrate analysis of text, audio, and images.
• Optimise Gemini API parameters for both performance and cost efficiency.

Course Format

• Interactive lectures and group discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises addressing real-world multimodal use cases.

Course Customisation Options

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

Google Gemini AI is a cutting-edge large language model that offers advanced AI capabilities such as natural language understanding, text generation, and multimodal processing, enabling developers to build intelligent and context-aware applications.

This instructor-led, live training (online or on-site) is designed for beginner to intermediate-level developers who wish to practically apply AI concepts using Google Gemini AI through hands-on projects, real-world examples, and collaborative exercises.

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

• Set up and use Google Gemini AI and related tools effectively.
• Develop AI-driven applications using text and image inputs.
• Leverage NotebookLM for practical AI workflows and document-based reasoning.
• Collaborate in small groups to design and deploy working AI prototypes.

Course Format

• Interactive lectures and guided discussions.
• Hands-on lab exercises and collaborative projects.
• Practical assignments using Google Gemini AI and NotebookLM.

Course Customisation Options

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

Google AI Studio is a platform designed for building, testing, and deploying AI-driven workflows and applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to streamline and optimise AI workflows using Google AI Studio.

Upon completion of this training, participants will have the skills to:

• Design efficient AI workflows using Google AI Studio.
• Integrate models and APIs into automated pipelines.
• Optimise performance, testing, and monitoring practices.
• Apply best practices for secure and scalable AI operations.

Format of the Course

• Guided presentations supported by practical demonstrations.
• Scenario-based practice and real-world exercises.
• Hands-on configuration and workflow design in a lab environment.

Course Customization Options

• To tailor this course to specific tools, workflows, or use cases, please contact us to customise the training.

Vertex AI Agent Builder is a no-code/low-code environment for creating grounded agents that combine generative models with retrieval-augmented generation (RAG), enabling teams to rapidly develop agents that leverage enterprise data and search to deliver accurate, context-aware responses.

This instructor-led, live training (available online or on-site) is designed for intermediate-level practitioners who wish to design, configure, and deploy smart agents using Vertex AI Agent Builder and RAG patterns.

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

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines with search and vector stores.
• Integrate enterprise data sources securely for retrieval.
• Evaluate and iterate agent behaviour using testing and metrics.

Course Format

• Interactive lecture and discussion.
• Hands-on labs using Vertex AI Agent Builder and RAG components.
• Project-based exercises to build and refine agents.

Course Customisation Options

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

Vertex AI delivers advanced tools for fine-tuning large-scale models and managing prompts, empowering development and data teams to enhance model accuracy, streamline iteration workflows, and uphold rigorous evaluation standards using built-in libraries and services.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced practitioners seeking to improve the performance and reliability of generative AI applications through supervised fine-tuning, prompt versioning, and evaluation capabilities within Vertex AI.

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

• Apply supervised fine-tuning techniques to Gemini models within Vertex AI.
• Implement prompt management workflows, including version control and testing.
• Leverage evaluation libraries to benchmark and optimise AI performance.
• Deploy and monitor enhanced models in production environments.

Course Format

• Interactive lectures and group discussions.
• Practical labs featuring Vertex AI fine-tuning and prompt management tools.
• Real-world case studies showcasing enterprise model optimisation.

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 aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyse data patterns and derive insights.
• Create compelling data visualisations.
• Communicate data-driven insights effectively.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level IT managers, business application developers, and system integrators who wish to integrate Google AI Studio's capabilities into their business applications.

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

• Understand the key features and capabilities of Google AI Studio for business integration.
• Explore and connect AI Studio with business applications via APIs.
• Customise AI models for specific business use cases.
• Set up workflows that integrate AI predictions into business processes.
• Deploy AI-driven insights and automation within enterprise applications.
• Troubleshoot and optimise integrations for scalability and efficiency.

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level content creators who wish to utilise Google Gemini AI to enhance their content quality and efficiency.

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

• Understand the role of AI in content creation.
• Set up and use Google Gemini AI to generate and optimise content.
• Apply text-to-text transformations to produce creative and original content.
• Implement SEO strategies using AI-driven insights.
• Analyse content performance and adapt strategies using Gemini AI.

Vertex AI offers a unified platform for generative media, featuring models such as Veo for video, Imagen for image creation, Chirp for speech, and Lyria for music. These capabilities support production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals who wish to leverage generative AI for creating and deploying multimedia content using Vertex AI.

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

• Generate images, videos, audio, and music using Vertex AI's suite of models.
• Integrate generative media into marketing and product workflows.
• Optimise prompts and fine-tune outputs for quality and brand consistency.
• Deploy production-ready generative media solutions in enterprise environments.

Course Format

• Interactive lecture and discussion.
• Hands-on exercises with Vertex AI generative media models.
• Real-world case studies and creative project labs.

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 onsite) is aimed at advanced-level AI developers, machine learning engineers, and data scientists who wish to use Google AI Studio to develop, optimise, and deploy cutting-edge AI solutions.

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

• Navigate the Google AI Studio interface and understand its key components.
• Prepare data for AI projects using Google AI Studio’s integrated tools.
• Train, evaluate, and fine-tune machine learning models using AutoML and custom training features.
• Deploy AI models as scalable, production-ready services.
• Integrate Google AI APIs into applications to extend AI capabilities.
• Leverage Explainable AI (XAI) tools for transparent and ethical AI practices.
• Monitor and optimise AI models for performance and reliability.

This instructor-led, live training in Christchurch (online or on-site) is designed for intermediate-level participants who wish to explore workflow automation with Google AI Studio, leveraging its tools to create, optimise, and manage efficient automated processes.

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

• Understand the core features of Google AI Studio for workflow automation.
• Set up and integrate Google AI Studio with other tools.
• Design and execute AI-driven workflows.
• Implement conditional logic for smarter automation.
• Monitor and optimise automated workflows for efficiency.

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level developers, data scientists, and tech professionals who wish to leverage Google Vertex AI for creating and deploying custom AI models.

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

• Understand the capabilities and features of Google Vertex AI.
• Set up and configure the Google Vertex AI environment.
• Develop and train custom AI models using Vertex AI.
• Deploy and manage AI models on Google Cloud Platform.
• Utilise Vertex AI's tools for monitoring and optimising model performance.
• Implement best practices for AI model development and deployment.

This instructor-led, live training in Christchurch (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.

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

• Understand the impact of AI on customer service.
• Set up Google Gemini AI to automate and personalise customer interactions.
• Utilise text-to-text and image-to-text transformations to improve service efficiency.
• Develop AI-driven strategies for real-time customer feedback analysis.
• Explore advanced features to create a seamless customer service experience.

This instructor-led, live training in Christchurch (online or on-site) is designed for beginner to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI.

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

• Grasp the fundamentals of large language models.
• Set up and utilise Google Gemini AI for a range of AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop basic AI-driven applications.
• Explore advanced features and customisation options within Google Gemini AI.

This instructor-led, live training in Christchurch (online or on-site) is intended for beginner-level data analysts, business users, and product managers who wish to learn the fundamentals of building and using AI models with minimal coding, using Google AI Studio.

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

• Understand the core concepts of AI and machine learning.
• Navigate and make use of Google AI Studio's interface and tools.
• Create AI models using pre-built templates and datasets.
• Train and evaluate models using straightforward workflows.
• Deploy AI models for real-world applications.

This instructor-led, live training in Christchurch (online or on-site) is intended for beginner to intermediate-level software engineers, or anyone looking to learn how to use Vertex AI to perform and complete machine learning activities.

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

• Understand how Vertex AI works and use it as a machine learning platform.
• Learn about machine learning and NLP concepts.
• Know how to train and deploy machine learning models using Vertex AI.

This instructor-led, live training in Christchurch (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 in Christchurch (online or on-site) is aimed at beginner-level / intermediate-level / advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, use tools, and work with business data.

By the end of this training, participants will be able to: explain AI agent concepts, build agents with Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.