Vertex AI is Google’s unified machine learning and generative AI platform, built to simplify the journey from idea to deployment without sacrificing scale or speed.
In our instructor-led live training, participants explore how Vertex AI streamlines model building, tuning, and deployment through interactive, hands-on exercises anchored in real enterprise scenarios.
Online live training unfolds in an interactive remote desktop, where instructors and learners work side by side in real time, experimenting with APIs, pipelines, and managed services.
Onsite live training in Dartmouth — available at customer premises or within NobleProg corporate training centers — provides a collaborative environment to map Vertex AI directly to organizational workflows and governance needs.
Also known as Google Vertex AI or Google Cloud Vertex AI, this course track equips teams to harness machine learning operations, fine-tuned large language models, and generative AI tools — turning the cloud into a launchpad for intelligent innovation.
NobleProg — Your Local Training Provider
Dartmouth - Metropolitan Place
99 Wyse Road, Dartmouth, Canada, B3A 4S5
Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and the local ferry terminal are located close by, and restaurants cafes are easily accessible for lunch.
Vertex AI provides streamlined integration options for embedding Gemini models directly into mobile and web applications using Firebase and SDKs. This enables developers and product teams to deliver AI-powered features at the app level, such as intelligent assistants, multimodal input handling, and personalized user experiences.
This instructor-led, live training (online or onsite) is aimed at beginner-level 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 lecture and discussion.
Hands-on labs with Firebase and Vertex AI SDKs.
Project-based exercises for app-level AI features.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Vertex AI provides enterprise-ready tools for managing the full machine learning lifecycle, including observability, compliance, and operational excellence. With live monitoring, data residency controls, grounding, and integrated Gen AI evaluation, Vertex AI is designed to meet the demands of production-grade AI systems.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to deploy, monitor, and govern Vertex AI models in enterprise environments.
By the end of this training, participants will be able to:
Set up MLOps pipelines using Vertex AI.
Monitor and observe models with real-time insights.
Apply grounding techniques and evaluation tools for Gen AI models.
Implement compliance and governance strategies, including data residency controls.
Format of the Course
Interactive lecture and discussion.
Hands-on labs with enterprise-grade Vertex AI tools.
Case studies and compliance-driven scenarios.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Vertex AI provides powerful tools for building multimodal LLM workflows that integrate text, audio, and image data into a single pipeline. With long context window support and Gemini API parameters, it enables advanced applications in planning, reasoning, and cross-modal intelligence.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level practitioners who wish to design, build, and optimize multimodal AI workflows in Vertex AI.
By the end of this training, participants will be able to:
Leverage Gemini models for multimodal inputs and outputs.
Implement long-context workflows for complex reasoning.
Design pipelines that integrate text, audio, and image analysis.
Optimize Gemini API parameters for performance and cost efficiency.
Format of the Course
Interactive lecture and discussion.
Hands-on labs with multimodal workflows.
Project-based exercises for applied multimodal use cases.
Course Customization Options
To request a customized training for 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), allowing teams to rapidly build agents that use enterprise data and search to provide accurate, context-aware responses.
This instructor-led, live training (online or onsite) is aimed at 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 behavior using testing and metrics.
Format of the Course
Interactive lecture and discussion.
Hands-on labs using Vertex AI Agent Builder and RAG components.
Project-based exercises to build and refine agents.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Vertex AI provides advanced tools for fine-tuning large models and managing prompts, enabling developers and data teams to optimize model accuracy, streamline iteration workflows, and ensure evaluation rigor with built-in libraries and services.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level practitioners who wish to improve performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services in Vertex AI.
By the end of this training, participants will be able to:
Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
Implement prompt management workflows including versioning and testing.
Leverage evaluation libraries to benchmark and optimize AI performance.
Deploy and monitor improved models in production environments.
Format of the Course
Interactive lecture and discussion.
Hands-on labs with Vertex AI fine-tuning and prompt tools.
Case studies of enterprise model optimization.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Vertex AI provides a unified platform for generative media, offering models like Veo for video, Imagen for image creation, Chirp for speech, and Lyria for music. These capabilities enable production-ready workflows for creative, marketing, and enterprise use cases.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to harness generative AI for multimedia content creation and deployment 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.
Optimize prompts and fine-tune outputs for quality and brand consistency.
Deploy production-ready generative media solutions in enterprise settings.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises with Vertex AI generative media models.
Real-world case studies and creative project labs.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Dartmouth (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.
Utilize Vertex AI's tools for monitoring and optimizing model performance.
Implement best practices for AI model development and deployment.
This instructor-led, live training in Dartmouth (online or onsite) is aimed at beginner to intermediate-level software engineers or anyone who wish 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.
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