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

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

This instructor-led live training (available online or onsite) targets intermediate to advanced practitioners seeking to improve the performance and reliability of generative AI applications by utilizing supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.

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

• Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
• Implement prompt management workflows, including version control and testing.
• Utilize evaluation libraries to benchmark and optimize AI performance.
• Deploy and monitor improved models in production environments.

Course Format

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

Course Customization Options

• To request a customized version of this course, please contact us to arrange.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level developers, data scientists, and technology professionals seeking 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 Slovakia (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 offers a consolidated platform for generative media, featuring models such as Veo for video, Imagen for image generation, Chirp for speech processing, and Lyria for music composition. These tools support production-ready workflows tailored for creative, marketing, and enterprise applications.

This instructor-led live training, available online or onsite, targets 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 able to:

• Create images, videos, audio, and music using Vertex AI’s model suite.
• Integrate generative media into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure quality and brand consistency.
• Deploy production-ready generative media solutions within enterprise environments.

Course Format

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

Course Customization Options

• For tailored training on this course, please contact us to arrange.

This instructor-led, live training, located in Slovakia (online or onsite), is designed for beginner to advanced developers and technical practitioners who wish to employ Google Cloud to build AI agents that can automate tasks, utilize tools, and process business data.

By the end of this training, participants will be able to: explain AI agent concepts, construct agents using Vertex AI, connect agents to external tools and data, and deploy agents for business use cases.

Vertex AI equips users with robust tools to construct multimodal large language model (LLM) workflows, seamlessly integrating text, audio, and image data into a unified pipeline. Supported by extensive context window capabilities and comprehensive Gemini API parameters, this platform facilitates the creation of sophisticated applications focused on complex planning, advanced reasoning, and cross-modal intelligence.

This instructor-led, live training session (available online or on-site) is tailored for intermediate to advanced practitioners seeking to design, implement, and optimize multimodal AI workflows within the Vertex AI ecosystem.

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

• Utilizing Gemini models to process multimodal inputs and generate corresponding outputs.
• Deploying long-context workflows to handle complex reasoning tasks.
• Architecting pipelines that effectively combine text, audio, and image analysis.
• Refining Gemini API parameters to enhance both performance and cost-efficiency.

Course Delivery Format

• Engaging interactive lectures and group discussions.
• Practical, hands-on labs focused on multimodal workflows.
• Project-based exercises designed to apply multimodal concepts to real-world use cases.

Customization Options

• For organizations interested in a customized version of this course, please contact us to arrange specific requirements.

This instructor-led live training in Slovakia (available online or on-site) is designed for software engineers at the beginner to intermediate level, as well as anyone wishing to learn how to utilize Vertex AI for performing and completing machine learning activities.

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

• Understand the operational mechanics of Vertex AI and use it as a machine learning platform.
• Learn about core concepts in machine learning and Natural Language Processing (NLP).
• Understand 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 empowers teams to quickly construct agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level practitioners looking to design, configure, and deploy smart agents using Vertex AI Agent Builder alongside RAG patterns.

Upon completing this training, participants will be equipped to:

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

Course Format

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

Course Customization Options

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

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

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring 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.