Google AI Training in Bratislava

Nano Banana is a lightweight large language model framework designed for efficient, low-cost, real-world use across devices and enterprise environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand how lightweight LLMs can be deployed for practical, on-device, and cost-efficient applications.

At the conclusion of this course, participants will be able to:

• Explain the core concepts behind lightweight LLMs and Nano Banana.
• Identify appropriate use cases for on-device and low-cost AI deployment.
• Evaluate Nano Banana’s capabilities for business and IT scenarios.
• Make informed decisions about integration pathways in their organization.

Format of the Course

• Instructor explanations supported by interactive dialogue.
• Practical exercises to reinforce key concepts.
• Hands-on exploration of lightweight LLM capabilities.

Course Customization Options

• For tailored versions of this training, please contact us to customize the program.

Nano Banana is a lightweight AI framework designed for efficient on-device model execution on Android.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level Android developers who wish to integrate optimized AI capabilities directly into mobile applications.

Upon completing this training, participants will be able to:

• Integrate the Nano Banana SDK into Android Studio projects.
• Implement real-time AI inference using Nano Banana APIs.
• Optimize model performance for constrained mobile environments.
• Apply best practices for secure, privacy-preserving on-device AI.

Format of the Course

• Guided presentations and collaborative discussions.
• Practical coding exercises to reinforce core concepts.
• Hands-on implementation using real-world Android examples.

Course Customization Options

• For tailored versions of this course, please reach out to arrange a customized program.

Nano Banana is an on-device AI framework designed to run models locally while maintaining strict privacy and regulatory compliance.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to implement privacy-preserving AI features on mobile devices using Nano Banana for regulated or sensitive environments.

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

• Build mobile applications that process data privately on-device.
• Integrate Nano Banana to enable compliant AI workflows.
• Apply privacy-enhancing techniques such as anonymization and secure processing.
• Evaluate and mitigate privacy risks during mobile AI development.

Format of the Course

• Guided instruction supported by discussion and Q&A.
• Practical exercises involving privacy-focused mobile AI scenarios.
• Hands-on implementation within a real development environment.

Course Customization Options

• For organization-specific needs or sector-specific compliance topics, please contact us to customize this program.

Nano Banana is a lightweight AI framework designed to accelerate and compress models for efficient on-device and edge deployment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to optimize, compress, and deploy AI models for edge environments using Nano Banana.

At the conclusion of the program, learners will be able to:

• Apply compression and quantization techniques to AI models.
• Accelerate inference performance for edge devices.
• Convert and deploy models using Nano Banana’s toolchain.
• Evaluate trade-offs between accuracy, latency, and resource usage.

Format of the Course

• Instructor-led technical sessions and guided discussion.
• Hands-on exercises using real-world edge-AI scenarios.
• Practical implementation using a configured live environment.

Course Customization Options

• For tailored content or organization-specific adaptations, please reach out to arrange a customized version of this course.

Nano Banana is a specialized model optimized for fast, efficient on-device AI execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and deploy AI-powered mobile applications using Nano Banana without relying on cloud infrastructure.

Upon completing this program, attendees should be able to:

• Implement Nano Banana models directly on mobile devices.
• Optimize AI workloads for performance and energy efficiency.
• Integrate text and image generation features into mobile apps.
• Troubleshoot, benchmark, and refine on-device inference pipelines.

Format of the Course

• Instructor-guided demonstrations and collaborative discussion.
• Practical exercises focused on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Course Customization Options

• If you require a tailored version of this course, please contact us to discuss customization options.

Gemini 3 is an AI-driven system that enhances Google Search and workplace productivity through its AI Mode.

This instructor-led, live training (available online or on-site) is designed for beginners who want to utilize Gemini 3 to streamline research, planning, analysis, and daily knowledge work.

Throughout this training, participants will develop the skills necessary to:

• Use Gemini 3 in AI Mode to speed up research and information discovery.
• Apply Gemini-assisted workflows to summarize content and extract insights.
• Integrate Gemini 3 features into everyday productivity tasks.
• Adopt best practices for the responsible and reliable use of AI tools.

Format of the Course

• Instructor-guided presentations and demonstrations.
• Structured hands-on exercises to build practical skills.
• Real-world applications using live search and productivity scenarios.

Course Customization Options

• For customized training tailored to your specific workflows, please contact us to discuss customization options.

Gemini 3 is a sophisticated multimodal AI system that includes enhanced safeguards, robust governance features, and strong resilience against adversarial manipulation.

This instructor-led, live training (available both online and on-site) is designed for intermediate-level professionals who aim to implement secure, responsible, and policy-compliant deployments of Gemini 3.

Upon completing this course, participants will be able to:

• Utilize Gemini 3's safety features to minimize the risk of misuse.
• Implement governance frameworks that align with their organization's policies.
• Enhance system security against prompt injections and adversarial inputs.
• Assess deployments for compliance and operational integrity.

Format of the Course

• Guided instruction with practical examples of real-world safety measures.
• Hands-on labs focusing on governance and secure prompt management.
• Practical exercises conducted in controlled test environments.

Course Customization Options

• Custom governance scenarios or security-focused labs can be included upon request.

Gemini 3 is an advanced multimodal AI system designed to support deep reasoning, high-context tasks, and long-form analytical workflows.

This instructor-led, live training (available both online and on-site) is aimed at advanced-level professionals who wish to leverage the Deep-Think Mode for conducting complex analysis, modeling, and strategic planning.

By completing this course, participants will be equipped to:

• Apply Deep-Think Mode to solve intricate, multi-layered problems.
• Design reasoning pipelines that incorporate long-context analysis.
• Optimize prompts for iterative, multi-step reasoning tasks.
• Integrate Deep-Think capabilities into research or production workflows.

Format of the Course

• Expert-led presentations with real-world examples.
• Hands-on reasoning labs and structured exercises.
• Applied development using live experimentation environments.

Course Customization Options

• Customized sessions or domain-specific deep-reasoning projects can be arranged upon request.

Gemini 3 is a versatile AI platform that can process and reason with images, video, audio, and text.

This instructor-led, live training (available online or on-site) is designed for intermediate-level practitioners who want to design and build applications leveraging Gemini 3’s cross-modal intelligence.

Upon completing this workshop, participants will be able to:

• Integrate Gemini 3 multimodal endpoints into practical workflows.
• Process and interpret visual, audio, video, and text inputs in cohesive pipelines.
• Develop interactive prototypes using multimodal prompts.
• Enhance the performance, accuracy, and usability of multimodal outputs.

Format of the Course

• Guided lectures with practical demonstrations.
• Scenario-based exercises and hands-on practice sessions.
• Practical implementation using live development environments.

Course Customization Options

• For customized content or project-specific training, please contact us to arrange.

Google Antigravity is a development environment tailored for creating autonomous agents that can plan, reason, code, and act using Gemini 3’s multimodal capabilities.

This training, led by an instructor, is designed for advanced technical professionals who aim to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment. It can be conducted online or on-site.

Upon completing this training, participants will be equipped to:

• Create autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyze tasks, write code, and interact with various tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Enhance the behavior, safety, and reliability of agents in complex environments.

Format of the Course

• Expert demonstrations paired with interactive discussions.
• Hands-on practice in developing autonomous agents.
• Practical implementation using Antigravity, Gemini 3, and associated cloud tools.

Course Customization Options

• If your team needs domain-specific agent behaviors or custom integrations, please contact us to customize the program.

Vertex AI offers seamless 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 designed for beginner to intermediate practitioners who want 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 applications.
• Handle multimodal inputs such as text, images, and audio in client apps.
• Deploy and monitor AI features in production applications.

Format of the Course

• Interactive lectures and discussions.
• 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.

Gemini 3 is a multimodal AI model designed to support complex enterprise workflows by reasoning across text, images, and structured inputs.

This instructor-led, live training (available online or on-site) is aimed at intermediate-level professionals who want to build reasoning-driven and multimodal workflows using Gemini 3 within their enterprise environments.

After completing this course, participants will have the skills to:

• Utilize Gemini 3’s reasoning capabilities for enterprise planning and decision-making processes.
• Design workflows that incorporate various modalities such as text, images, documents, and tabular data.
• Develop business workflows using AI Studio and Vertex AI tools.
• Enhance outputs through prompt engineering and iterative refinement techniques.

Format of the Course

• Guided demonstrations accompanied by expert explanations.
• Practical exercises focusing on workflow design and multimodal tasks.
• Hands-on experimentation in AI Studio or Vertex AI environments.

Course Customization Options

• If your organization requires customized workflow scenarios or data integration examples, please contact us to tailor the training to your needs.

Vertex AI offers enterprise-ready tools for managing the entire machine learning lifecycle, including observability, compliance, and operational excellence. With features such as 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 (available 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.

This instructor-led, live training in Bratislava (online or onsite) is aimed at intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, assist with research, and improve productivity through more advanced AI interactions.

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

• Craft more effective and tailored prompts for specific use cases.
• Generate original and creative content using Gemini.
• Summarize and compare complex information with precision.
• Use Gemini for brainstorming, planning, and organizing ideas efficiently.

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

This instructor-led, live training (available both online and on-site) is designed for intermediate to advanced-level practitioners who aim to design, build, and optimize multimodal AI workflows using Vertex AI.

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

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

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs focusing on multimodal workflows.
• Project-based exercises for practical application of multimodal use cases.

Course Customization Options

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

Google Gemini AI is an advanced large language model that provides sophisticated AI capabilities, including natural language understanding, text generation, and multimodal processing. This technology empowers developers to create intelligent and context-aware applications.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate level developers who want to apply AI concepts using Google Gemini AI through hands-on projects, real-world examples, and collaborative exercises.

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

• Set up and effectively use Google Gemini AI along with related tools.
• Create AI-driven applications that utilize text and image inputs.
• Utilize NotebookLM for practical AI workflows and document-based reasoning.
• Work in small groups to design and deploy functional AI prototypes.

Format of the Course

• Interactive lectures and guided discussions.
• Hands-on lab exercises and collaborative projects.
• Practical assignments using Google Gemini AI and NotebookLM.

Course Customization Options

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

Google AI Studio is a platform for building, testing, and deploying AI-driven workflows and applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to streamline and optimize AI workflows using Google AI Studio.

Upon completion of this training, participants will have the skills to:

• Design efficient AI workflows using Google AI Studio.
• Integrate models and APIs into automated pipelines.
• Optimize performance, testing, and monitoring practices.
• Apply best practices for secure and scalable AI operations.

Format of the Course

• Guided presentations supported by practical demonstrations.
• Scenario-based practice and real-world exercises.
• Hands-on configuration and workflow design in a lab environment.

Course Customization Options

• To tailor this course to specific tools, workflows, or use cases, please contact us to customize the training.

Vertex AI Agent Builder is a no-code/low-code platform designed for creating grounded agents that integrate generative models with retrieval-augmented generation (RAG). This allows teams to quickly develop agents capable of providing accurate and context-aware responses by leveraging enterprise data and search capabilities.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level practitioners who aim to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG patterns.

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

• Create grounded agent workflows using Agent Builder.
• Set up RAG pipelines that incorporate search and vector stores.
• Securely integrate enterprise data sources for retrieval purposes.
• Assess and refine agent behavior through testing and performance metrics.

Format of the Course

• Interactive lectures and discussions.
• Practical labs using Vertex AI Agent Builder and RAG components.
• Project-based exercises to build and improve 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 enhance model accuracy, streamline iteration workflows, and ensure rigorous evaluation with built-in libraries and services.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level practitioners who wish to improve the 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 within Vertex AI.
• Implement prompt management workflows, including versioning and testing.
• Leverage evaluation libraries to benchmark and optimize AI performance.
• Deploy and monitor enhanced models in production environments.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Bratislava (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led, live training in Bratislava (online or onsite) is aimed at intermediate-level IT managers, business application developers, and system integrators who wish to integrate Google AI Studio's capabilities with their business applications.

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

• Understand the key features and capabilities of Google AI Studio for business integration.
• Explore and connect AI Studio with business applications via APIs.
• Customize AI models for specific business use cases.
• Set up workflows that integrate AI predictions into business processes.
• Deploy AI-driven insights and automation within enterprise applications.
• Troubleshoot and optimize integrations for scalability and efficiency.

This instructor-led, live training in Bratislava (online or onsite) is aimed at intermediate-level content creators who wish to utilize Google Gemini AI to enhance their content quality and efficiency.

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

• Understand the role of AI in content creation.
• Set up and use Google Gemini AI to generate and optimize content.
• Apply text-to-text transformations to produce creative and original content.
• Implement SEO strategies using AI-driven insights.
• Analyze content performance and adapt strategies using Gemini AI.

Vertex AI provides a comprehensive platform for generative media, featuring models such as Veo for video creation, Imagen for generating images, Chirp for speech synthesis, and Lyria for music composition. These tools facilitate production-ready workflows 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 multimedia content creation and deployment using Vertex AI.

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

• Create images, videos, audio, and music using Vertex AI’s suite of models.
• Incorporate generative media into marketing and product development processes.
• Refine prompts and fine-tune outputs to ensure high quality and brand consistency.
• Implement production-ready generative media solutions in enterprise environments.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises with Vertex AI’s 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 Bratislava (online or onsite) is aimed at advanced-level AI developers, machine learning engineers, and data scientists who wish to use Google AI Studio to develop, optimize, and deploy cutting-edge AI solutions.

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

• Navigate the Google AI Studio interface and understand its key components.
• Prepare data for AI projects using Google AI Studio’s integrated tools.
• Train, evaluate, and fine-tune machine learning models using AutoML and custom training features.
• Deploy AI models as scalable, production-ready services.
• Integrate Google AI APIs into applications to extend AI capabilities.
• Leverage Explainable AI (XAI) tools for transparent and ethical AI practices.
• Monitor and optimize AI models for performance and reliability.

This instructor-led, live training in Bratislava (online or onsite) is aimed at intermediate-level participants who wish to explore workflow automation with Google AI Studio, leveraging its tools to create, optimize, and manage efficient automated processes.

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

• Understand the core features of Google AI Studio for workflow automation.
• Set up and integrate Google AI Studio with other tools.
• Design and execute AI-driven workflows.
• Implement conditional logic for smarter automation.
• Monitor and optimize automated workflows for efficiency.

This instructor-led, live training in Bratislava (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 Bratislava (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.

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

• Understand the impact of AI on customer service.
• Set up Google Gemini AI to automate and personalize customer interactions.
• Utilize text-to-text and image-to-text transformations to improve service efficiency.
• Develop AI-driven strategies for real-time customer feedback analysis.
• Explore advanced features to create a seamless customer service experience.

This instructor-led, live training in Bratislava (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI.

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

• Understand the fundamentals of large language models.
• Set up and use Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Build basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

This instructor-led, live training in Bratislava (online or onsite) is aimed at beginner-level data analysts, business users, and product managers who wish to learn the basics of building and utilizing AI models with minimal coding using Google AI Studio.

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

• Understand the fundamentals of AI and machine learning concepts.
• Navigate and utilize Google AI Studio's interface and tools.
• Create AI models using pre-built templates and datasets.
• Train and evaluate models with easy-to-follow workflows.
• Deploy AI models for real-world applications.

This instructor-led, live training in Bratislava (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.