Vertex AI Training in Christchurch

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.

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.

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.

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.

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 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 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.