Gemini AI Training in Tashkent

Nano Banana is a streamlined large language model framework built for efficient, cost-effective, real-world implementation across various devices and enterprise settings.

This instructor-led, live training session (available online or on-site) is designed for beginners who want to learn how to deploy lightweight LLMs for practical, on-device, and budget-friendly solutions.

Upon completing this course, attendees will be able to:

• Describe the fundamental concepts of lightweight LLMs and Nano Banana.
• Recognize suitable scenarios for on-device and low-cost AI implementation.
• Assess Nano Banana's potential for business and IT contexts.
• Make well-informed choices regarding integration strategies within their organization.

Course Structure

• Instructor-led explanations complemented by interactive discussions.
• Practical exercises to solidify key concepts.
• Direct exploration of lightweight LLM functionalities.

Customization Possibilities

• For customized training versions, please reach out to us to tailor 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 optimise, compress, and deploy AI models for edge environments using Nano Banana.

By the end of the programme, learners will be able to:

• Apply compression and quantisation 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.

Course Format

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

Course Customisation Options

• For tailored content or organisation-specific adaptations, please contact us to arrange a customised 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-powered system that enhances Google Search and workplace productivity through AI Mode.

This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to leverage Gemini 3 to streamline research, planning, analysis, and daily knowledge work.

Throughout this training, participants will gain the skills needed to:

• Use Gemini 3 in AI Mode to accelerate research and information discovery.
• Apply Gemini-assisted workflows to summarise content and extract insights.
• Integrate Gemini 3 features into everyday productivity tasks.
• Adopt best practices for 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 Customisation Options

• For tailored training adapted to your workflows, please contact us to discuss customisation 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 an advanced multimodal AI system designed to support deep reasoning, high-context tasks, and long-form analytical workflows.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to leverage Deep-Think Mode to conduct 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 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 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.

Course Format

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

Course Customisation Options

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

Google Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3's multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability in complex environments.

Format of the Course

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

Course Customization Options

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

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.

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

• Apply Gemini 3's reasoning capabilities to enterprise planning and decision workflows.
• Design multimodal processes incorporating text, images, documents, and tabular data.
• Develop business workflows using AI Studio and Vertex AI tools.
• Optimize 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 organisation requires tailored workflow scenarios or data integration examples, please contact us to adapt the training.

This live, instructor-led training in Tashkent (offered online or on-site) is tailored for intermediate-level public sector professionals who want to employ Gemini to create high-quality content, support research, and increase productivity through advanced AI interactions.

By the end 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.

Google Gemini AI is a cutting-edge large language model that delivers advanced AI capabilities, including natural language understanding, text generation, and multimodal processing, empowering developers to build intelligent, context-aware applications.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level developers who wish to practically 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 and related tools.
• Develop AI-driven applications using text and image inputs.
• Leverage NotebookLM for practical AI workflows and document-based reasoning.
• Collaborate in small groups to design and deploy working AI prototypes.

Course Format

• 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 version of this course, please contact us to arrange.

This instructor-led, live training in Tashkent (online or onsite) targets 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:

• Grasp the core principles of Google Gemini AI.
• Link various data sources to Gemini AI.
• Explore data through natural language queries.
• Analyze data patterns and extract meaningful insights.
• Design impactful data visualizations.
• Effectively communicate data-driven insights.

This instructor-led, live training in Tashkent (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.

This instructor-led, live training in Tashkent (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 personalise customer interactions.
• Utilise 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 Tashkent (online or onsite) is aimed at beginner to intermediate 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.