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 enhance 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 aiming to improve the performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services within 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.
• Utilize evaluation libraries to benchmark and optimize AI performance.
• Deploy and monitor enhanced models in production environments.

Course Format

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

Course Customization Options

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

This guided, live training in Norway (available online or on-site) targets intermediate developers, data scientists, and technology professionals aiming to leverage Google Vertex AI for creating and deploying custom AI models.

By the conclusion 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 Norway (online or onsite) is aimed at beginner-level, intermediate-level, or 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 offers 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 tools facilitate 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 seeking to leverage generative AI for creating and deploying multimedia content via Vertex AI.

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

• Producing images, videos, audio, and music using the Vertex AI model suite.
• Incorporating generative media into marketing and product workflows.
• Refining prompts and fine-tuning outputs to ensure quality and brand alignment.
• Deploying production-ready generative media solutions within enterprise environments.

Course Format

• Interactive lectures and discussions.
• Practical exercises utilizing Vertex AI generative media models.
• Real-world case studies and creative project labs.

Customization Options

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

This instructor-led, live training in Norway (online or onsite) is intended for beginner, intermediate, and advanced developers and technical professionals who wish to utilize Google Cloud to build AI agents that can automate tasks, use tools, and interact 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 within a unified pipeline. By leveraging long context window capabilities and Gemini API parameters, it facilitates advanced applications involving planning, reasoning, and cross-modal intelligence.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced practitioners seeking to design, build, and optimize multimodal AI workflows in Vertex AI.

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

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

Course Format

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

Customization Options

• To request tailored training for this course, please reach out to us to arrange it.

This instructor-led live training in Norway (online or onsite) is tailored for software engineers at beginner to intermediate levels, as well as anyone keen on learning how to utilize Vertex AI for machine learning activities.

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

• Gaining a solid understanding of Vertex AI’s functionality and its application as a machine learning platform.
• Acquiring knowledge of core machine learning and Natural Language Processing (NLP) concepts.
• Learning to train and deploy machine learning models using Vertex AI.

Vertex AI Agent Builder provides a no-code or low-code platform for constructing grounded agents that merge generative models with retrieval-augmented generation (RAG). This empowers teams to swiftly create agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led live training, available either online or on-site, targets intermediate-level professionals seeking to design, configure, and deploy intelligent agents through Vertex AI Agent Builder and RAG methodologies.

Upon completion of this training, participants will gain the ability to:

• Create grounded agent workflows using Agent Builder.
• Build RAG pipelines that integrate search functions and vector stores.
• Safely connect enterprise data sources for retrieval purposes.
• Assess and refine agent performance through testing and key metrics.

Course Delivery Format

• Engaging lectures and interactive discussions.
• Practical labs utilizing Vertex AI Agent Builder and RAG tools.
• Project-oriented exercises focused on constructing and enhancing agents.

Customization Opportunities

• For personalized training arrangements, please reach out to us.

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

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

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

• Establishing MLOps pipelines using Vertex AI.
• Monitoring and observing models through real-time insights.
• Applying grounding techniques and evaluation tools for Gen AI models.
• Implementing compliance and governance strategies, including data residency controls.

Course Format

• Interactive lectures and discussions.
• Practical labs utilizing enterprise-grade Vertex AI tools.
• Case studies and compliance-focused scenarios.

Course Customization Options

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