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

Vertex AI offers sophisticated tools for fine-tuning large models and managing prompts, empowering developers and data teams to optimise model accuracy, streamline iteration workflows, and ensure rigorous evaluation through built-in libraries and services.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced practitioners looking to enhance the performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.

By the conclusion 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.
• Utilise evaluation libraries to benchmark and optimise AI performance.
• Deploy and monitor improved models within production environments.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focused on Vertex AI fine-tuning and prompt tools.
• Case studies demonstrating enterprise model optimisation.

Course Customisation Options

• To arrange customised training for this course, please contact us.

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level developers, data scientists, and tech professionals keen on leveraging Google Vertex AI to create and deploy custom AI models.

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

• Grasp 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 to monitor and optimise model performance.
• Implement best practices for AI model development and deployment.

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers, cloud engineers, and technical product teams who wish to use Google Cloud generative AI tools to build and evaluate practical AI applications.

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

Vertex AI serves as a consolidated 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 onsite) is designed for intermediate to advanced professionals eager to leverage generative AI for the creation and deployment of multimedia content using Vertex AI.

Upon completion 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 to ensure quality and brand consistency.
• Deploy production-ready generative media solutions within enterprise environments.

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 Australia (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents capable of automating tasks, utilising tools, and working 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 integrate text, audio, and image data into a unified pipeline. Leveraging support for long context windows and the Gemini API parameters, it empowers developers to build advanced applications focused on planning, reasoning, and cross-modal intelligence.

This instructor-led live training (available 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 able to:

• Utilise Gemini models to handle multimodal inputs and outputs.
• Implement long-context workflows to support complex reasoning tasks.
• Design pipelines that effectively integrate text, audio, and image analysis.
• Optimise Gemini API parameters to enhance performance and cost efficiency.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focusing on multimodal workflows.
• Project-based exercises applying multimodal use cases.

Customisation Options

• To arrange customised training for this course, please contact us to discuss your requirements.

This instructor-led, live training in Australia (online or onsite) is tailored for software engineers at a beginner to intermediate level, as well as anyone eager to learn how to utilise Vertex AI for conducting machine learning activities.

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

• Understand the mechanics of Vertex AI and utilise 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 platform for developing grounded agents that merge generative models with Retrieval-Augmented Generation (RAG). This enables teams to quickly construct agents that leverage enterprise data and search capabilities to deliver accurate, context-aware responses.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level practitioners seeking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG architectures.

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

• Design grounded agent workflows using Agent Builder.
• Implement RAG pipelines utilizing search and vector stores.
• Securely integrate enterprise data sources for retrieval.
• Evaluate and refine agent behaviour through testing and metrics.

Course Format

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

Course Customization Options

• To arrange customized training for this course, please contact us.

Vertex AI offers enterprise-grade solutions for managing the complete machine learning lifecycle, encompassing observability, compliance, and operational excellence. Featuring real-time monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is engineered to satisfy the rigorous demands of production-grade AI systems.

This instructor-led, live training session (available online or onsite) is tailored for intermediate to advanced professionals looking to deploy, monitor, and govern Vertex AI models within enterprise environments.

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

• Establish MLOps pipelines using Vertex AI.
• Monitor and observe models through 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 lectures and discussions.
• Hands-on labs utilizing enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Course Customization Options

• To request customized training for this course, please contact us to arrange.