Vertex AI Embedded & Mobile: Gemini in Apps via Firebase & SDKs Training Course

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 New Zealand (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 New Zealand (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.

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 New Zealand (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.

Vertex AI offers robust tools for constructing multimodal LLM workflows that seamlessly combine text, audio, and image data into a unified pipeline. Featuring support for long context windows and Gemini API parameters, it facilitates sophisticated applications in planning, reasoning, and cross-modal intelligence.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced practitioners looking to design, build, and optimise multimodal AI workflows within Vertex AI.

Upon completion of this training, participants will be capable of:

• Utilising Gemini models for multimodal inputs and outputs.
• Implementing long-context workflows to handle complex reasoning tasks.
• Designing pipelines that integrate text, audio, and image analysis.
• Optimising Gemini API parameters to enhance performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Practical labs focusing on multimodal workflows.
• Project-based exercises addressing applied multimodal use cases.

Customisation Options

• To arrange bespoke training for this course, please get in touch.

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

Vertex AI Agent Builder provides a no-code/low-code environment for developing grounded agents that merge generative models with retrieval-augmented generation (RAG). This enables teams to quickly create agents that leverage enterprise data and search capabilities to deliver accurate, context-aware responses.

This instructor-led, live training (available online or onsite) targets intermediate-level practitioners aiming to design, configure, and deploy intelligent agents using Vertex AI Agent Builder alongside RAG patterns.

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

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

Course Format

• Interactive lectures and discussions.
• Hands-on labs involving Vertex AI Agent Builder and RAG components.
• Project-based exercises to construct and refine agents.

Customisation Options for the Course

• To request bespoke training 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.