Google AI Training in Belgrade

Nano Banana represents a streamlined large language model framework tailored for efficient, budget-friendly, and practical application across individual devices and corporate settings.

This guided training session, available both virtually and in-person, targets professionals at the foundational level who aim to grasp the deployment of compact LLMs for cost-effective, on-device solutions.

By the end of this course, learners will be equipped to:

• Articulate the fundamental principles behind compact LLMs and the Nano Banana framework.
• Recognize suitable scenarios for implementing AI solutions that are both on-device and economical.
• Assess how Nano Banana's features align with specific business and IT requirements.
• Make well-informed choices regarding integration strategies within their respective organizations.

Course Delivery Format

• Guided instruction complemented by interactive discussion.
• Applied exercises designed to solidify key learning points.
• Direct engagement with the capabilities of compact LLMs.

Customization Possibilities

• For specific adaptations of this training, please reach out to us to tailor the curriculum.

Nano Banana is a streamlined AI framework engineered for efficient on-device model execution within the Android ecosystem.

This instructor-led live training, available both online and onsite, targets beginner to intermediate Android developers seeking to embed optimized AI capabilities directly into their mobile applications.

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

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

Format of the Course

• Guided presentations coupled with collaborative discussions.
• Practical coding exercises designed to reinforce core concepts.
• Hands-on implementation utilizing 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 engineered to execute models locally while ensuring stringent privacy standards and regulatory compliance.

This instructor-led training session, available online or onsite, targets beginner to intermediate professionals seeking to implement privacy-preserving AI capabilities on mobile devices using Nano Banana, particularly for regulated or sensitive data environments.

Upon completing this training, participants will be equipped to:

• Develop mobile applications that process data privately on the device.
• Integrate Nano Banana to establish compliant AI workflows.
• Apply privacy-enhancing methods, including anonymization and secure processing techniques.
• Assess and mitigate privacy risks associated with mobile AI development.

Course Format

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

Course Customization Options

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

Nano Banana serves as a lightweight AI framework specifically crafted to accelerate and compress models, ensuring efficient deployment on-device and in edge environments.

This instructor-led training session, available both online and onsite, targets intermediate to advanced professionals seeking to optimize, compress, and deploy AI models for edge infrastructure using Nano Banana.

Upon completing the program, participants will be equipped to:

• Implement compression and quantization methodologies for AI models.
• Enhance inference performance for edge hardware.
• Convert and deploy models utilizing the Nano Banana toolchain.
• Assess the trade-offs regarding accuracy, latency, and resource consumption.

Course Delivery Format

• Technical sessions led by an instructor coupled with guided discussions.
• Practical exercises based on real-world edge-AI scenarios.
• Hands-on implementation within a configured live environment.

Customization Options

• For specialized content or organizational adaptations, please contact us to arrange a tailored 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 designed to boost Google Search capabilities and workplace productivity via AI Mode.

This instructor-led, live training (available online or onsite) targets beginner-level users looking to utilize Gemini 3 to streamline research, planning, analysis, and daily knowledge work.

Through this training, participants will develop the skills required to:

• Utilize Gemini 3 in AI Mode to speed up research and information discovery.
• Implement 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 for practical skill building.
• Real-world applications using live search and productivity scenarios.

Course Customization Options

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

Gemini 3 is a multimodal AI system that incorporates enhanced safeguards, governance features, and resilience against adversarial manipulation.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement secure, responsible, and policy-aligned deployments of Gemini 3.

Upon completing this course, participants will be able to:

• Apply Gemini 3 safety features to reduce misuse risks.
• Implement governance frameworks aligned with organizational policies.
• Strengthen systems against prompt injections and adversarial inputs.
• Evaluate deployments for compliance and operational integrity.

Format of the Course

• Guided instruction with real-world safety examples.
• Hands-on labs focused on governance and secure prompts.
• Practical exercises using controlled test environments.

Course Customization Options

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

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, handle high-context tasks, and support extensive analytical workflows.

This instructor-led live training, available online or onsite, targets advanced professionals looking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completion, participants will be able to:

• Utilize Deep-Think Mode to address intricate, multi-layered challenges.
• Construct reasoning pipelines that leverage long-context analysis.
• Optimize prompts for iterative and multi-step reasoning processes.
• Seamlessly integrate Deep-Think capabilities into research or production environments.

Course Format

• Expert-led presentations featuring real-world examples.
• Practical reasoning labs and structured exercises.
• Applied development through live experimentation environments.

Customization Options

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

Gemini 3 is a multimodal AI platform capable of processing and reasoning across images, video, audio, and text.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and build applications that take advantage of Gemini 3’s cross-modal intelligence.

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

• Integrate Gemini 3 multimodal endpoints into real-world workflows.
• Process and interpret visual, audio, video, and text inputs in unified pipelines.
• Build interactive prototypes using multimodal prompts.
• Optimize multimodal outputs for performance, accuracy, and usability.

Format of the Course

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

Course Customization Options

• For tailored content or custom project-based training, please contact us to arrange.

Google Antigravity serves as an agentic development environment for creating autonomous agents that can plan, reason, code, and act by leveraging the multimodal capabilities of Gemini 3.

This instructor-led live training, available online or onsite, targets advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

After completing this training, participants will be equipped to:

• Create autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability in complex environments.

Course Format

• Expert demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please reach out to us to tailor the program.

Vertex AI offers streamlined integration pathways for embedding Gemini models directly within mobile and web applications through Firebase and associated SDKs. This approach empowers developers and product teams to deliver advanced AI capabilities at the application level, including intelligent assistants, multimodal input processing, and highly personalized user experiences.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate-level professionals looking to incorporate Vertex AI Gemini capabilities into their applications using Firebase and related SDKs.

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

• Configure Firebase and SDKs for seamless Vertex AI integration.
• Integrate Gemini-driven functionalities into mobile and web applications.
• Manage multimodal inputs, such as text, images, and audio, within client-side applications.
• Deploy and monitor AI-enhanced features in production environments.

Course Format

• Interactive lectures and group discussions.
• Practical hands-on labs utilizing Firebase and Vertex AI SDKs.
• Project-based exercises focused on implementing app-level AI features.

Course Customization Options

• For customized training solutions, please contact us to arrange your specific requirements.

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

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

Upon completing this course, participants will possess the skills to:

• Leverage Gemini 3’s reasoning capabilities for enterprise planning and decision-making processes.
• Architect multimodal processes that integrate text, images, documents, and tabular data.
• Develop business workflows utilizing AI Studio and Vertex AI tools.
• Enhance outputs through prompt engineering and iterative refinement techniques.

Format of the Course

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

Course Customization Options

• If your organization requires tailored workflow scenarios or data integration examples, please contact us to adapt the training.

Vertex AI offers enterprise-grade solutions for managing the entire machine learning lifecycle, focusing on observability, compliance, and operational excellence. Featuring live monitoring, data residency controls, grounding capabilities, and integrated Gen AI evaluation, Vertex AI is built to meet the rigorous demands of production-level AI systems.

This instructor-led training, available online or on-site, targets intermediate to advanced professionals looking to deploy, monitor, and govern Vertex AI models within enterprise settings.

Upon completing this training, participants will be able to:

• Establish 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.

Course Format

• Interactive lectures and discussions.
• Hands-on labs with enterprise-grade Vertex AI tools.
• Case studies and compliance-driven scenarios.

Customization Options

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

This instructor-led, live training in Belgrade (online or onsite) targets intermediate-level public sector professionals seeking to use Gemini for generating high-quality content, aiding research, and improving productivity via advanced AI interactions.

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

• Craft more effective and customized 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 creating multimodal LLM workflows that seamlessly integrate text, audio, and image data into a unified pipeline. Supported by long context window capabilities and Gemini API parameters, it facilitates advanced applications in 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 optimize multimodal AI workflows within Vertex AI.

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

• Utilize Gemini models to handle multimodal inputs and outputs.
• Implement long-context workflows to enable complex reasoning.
• 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.
• Hands-on labs focused on multimodal workflows.
• Project-based exercises addressing applied multimodal use cases.

Customization Options

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

Google Gemini AI is an advanced large language model that provides sophisticated AI capabilities, including natural language comprehension, text generation, and multimodal processing. These features empower developers to create intelligent, context-aware applications.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate-level developers who want to put AI concepts into practice using Google Gemini AI. The course utilizes hands-on projects, real-world examples, and collaborative exercises to facilitate learning.

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

• Effectively configure and utilize Google Gemini AI along with related tools.
• Create AI-driven applications that process text and image inputs.
• Utilize NotebookLM to implement practical AI workflows and document-based reasoning.
• Work in small teams to design and deploy functional AI prototypes.

Course Format

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

Customization Options

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

Google AI Studio serves as a comprehensive platform for constructing, evaluating, and launching AI-powered workflows and applications.

This instructor-led live training, available either online or onsite, targets intermediate-level professionals aiming to streamline and enhance their AI workflows through Google AI Studio.

After completing this training, participants will acquire the ability to:

• Create efficient AI workflows utilizing Google AI Studio.
• Embed models and APIs into automated processes.
• Enhance performance, testing, and monitoring protocols.
• Implement best practices for secure and scalable AI operations.

Course Format

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

Course Customization Options

• For customization of this course to fit specific tools, workflows, or use cases, please reach out to us.

Vertex AI Agent Builder provides a no-code or low-code platform for constructing grounded agents that integrate generative models with Retrieval-Augmented Generation (RAG). This capability empowers teams to swiftly develop agents that leverage enterprise data and search functionalities to deliver precise, contextually aware responses.

This instructor-led, live training session, available in online or onsite formats, targets intermediate-level practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.

Upon completing this training, participants will be able to:

• Design grounded agent workflows utilizing Agent Builder.
• Implement RAG pipelines incorporating search and vector storage solutions.
• Securely integrate enterprise data sources for retrieval purposes.
• Assess and refine agent behavior through testing and performance metrics.

Course Format

• Interactive lectures and discussions.
• Practical labs featuring Vertex AI Agent Builder and RAG components.
• Project-based exercises focused on building and refining agents.

Customization Options

• For inquiries regarding customized training for this course, please contact us to arrange.

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) targets intermediate to advanced practitioners seeking to improve the performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services within Vertex AI.

Upon completing 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 improved models in production environments.

Course Format

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

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner to intermediate 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 guided, real-time training held in Belgrade (via remote connection or in-person) is designed for IT managers, business application developers, and system integrators at an intermediate level who intend to merge Google AI Studio’s functionalities with their corporate systems.

Upon completing this training, learners will be equipped to:

• Grasp the essential features of Google AI Studio relevant to corporate integration.
• Investigate and link AI Studio to enterprise applications through APIs.
• Tailor AI models to address specific organizational challenges.
• Establish workflows that incorporate AI forecasts into daily business operations.
• Launch AI-powered analytics and automation within corporate software.
• Diagnose issues and refine integrations to ensure scalability and performance.

This instructor-led, live training session Belgrade (online or onsite) targets intermediate-level content creators who aim to use Google Gemini AI to boost their content quality and operational efficiency.

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

• Grasp the role of AI in the content creation workflow.
• Configure and utilize Google Gemini AI to generate and refine content.
• Employ text-to-text transformations to craft creative and unique material.
• Deploy SEO strategies informed by AI-driven analytics.
• Evaluate content performance and adjust strategies using Gemini AI.

Vertex AI offers a consolidated platform for generative media, featuring specialized models such as Veo for video production, Imagen for image generation, Chirp for speech processing, and Lyria for music composition. These tools empower organizations to establish robust, production-ready workflows tailored for creative, marketing, and enterprise applications.

Designed as an instructor-led live training session (available online or onsite), this program targets intermediate to advanced professionals eager to leverage generative AI for the creation and deployment of multimedia content via Vertex AI.

Upon completion of this course, participants will be equipped to:

• Create images, videos, audio clips, and music utilizing Vertex AI’s diverse model portfolio.
• Seamlessly integrate generative media capabilities into marketing and product development workflows.
• Refine prompts and fine-tune outputs to ensure high quality and alignment with brand standards.
• Implement production-ready generative media solutions within enterprise environments.

Course Format

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

Customization Options

• For tailored training sessions, please reach out to us to arrange specifics.

This instructor-led, live training in Belgrade (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 guided, live training in Belgrade (online or onsite) is designed for intermediate-level participants interested in mastering workflow automation via Google AI Studio. The curriculum leverages the platform's tools to help learners create, refine, and manage efficient automated processes.

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

• Understand the key 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 Belgrade (online or onsite) is tailored for intermediate-level developers, data scientists, and tech professionals who want to utilize Google Vertex AI to build and deploy 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 Belgrade (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 Belgrade (online or onsite) targets beginner to intermediate developers interested in integrating AI functionalities into their applications using Google Gemini AI.

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

• Grasp the fundamentals of large language models.
• Configure and utilize Google Gemini AI for diverse AI tasks.
• Execute text-to-text and image-to-text transformations.
• Develop basic AI-driven applications.
• Discover advanced features and customization options within Google Gemini AI.

This instructor-led live training, available online or on-site, is aimed at beginner-level data analysts, business users, and product managers who want to learn the basics of building and using AI models with minimal coding through Google AI Studio.

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

• Grasp the fundamentals of AI and machine learning concepts.
• Navigate and make use of Google AI Studio's interface and tools.
• Develop AI models using pre-built templates and datasets.
• Train and evaluate models using straightforward workflows.
• Deploy AI models for real-world applications.

This instructor-led live training in Belgrade (available online or onsite) is designed for beginner to intermediate-level software engineers and anyone interested in learning how to leverage Vertex AI to execute and complete machine learning tasks.

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

• Understanding the functionality of Vertex AI and applying it as a machine learning platform.
• Learning about fundamental machine learning and NLP concepts.
• Knowing how to train and deploy machine learning models using Vertex AI.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner, intermediate, and advanced-level developers, cloud engineers, and technical product teams seeking 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, develop simple applications using Vertex AI, and implement responsible AI practices.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner, intermediate, and advanced developers and technical practitioners who wish to use Google Cloud to build AI agents that automate tasks, utilize 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.