Online Google AI Training in Uzbekistan

Nano Banana is a lightweight large language model framework designed for efficient and cost-effective use in real-world scenarios across various devices and enterprise settings.

This instructor-led, live training (available both online and on-site) is targeted at professionals at the beginner level who want to understand how lightweight LLMs can be deployed for practical applications that are device-based and cost-efficient.

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

• Explain the fundamental concepts behind lightweight LLMs and Nano Banana.
• Identify suitable use cases for deploying AI on devices at a low cost.
• Assess Nano Banana’s capabilities in business and IT contexts.
• Make informed decisions regarding integration paths within their organizations.

Format of the Course

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

Course Customization Options

• For customized versions of this training, please contact us to tailor the program to your specific needs.

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 to intermediate Android developers who wish to integrate optimized AI capabilities directly into their mobile applications.

Upon completing this training, participants will be able to:

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

Format of the Course

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

Course Customization Options

• For customized versions of this course, please contact us to arrange a tailored program.

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

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

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

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

Format of the Course

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

Course Customization Options

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

Nano Banana is a lightweight AI framework designed to speed up and compress models for efficient deployment on devices and at the edge.

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

By the end of the program, participants will be able to:

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

Format of the Course

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

Course Customization Options

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

Nano Banana is a specialized model designed for rapid and efficient AI execution directly on devices.

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

Upon completing this program, participants should be able to:

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

Format of the Course

• Guided demonstrations by the instructor and collaborative discussions.
• Practical exercises focused on real-world scenarios.
• Hands-on development and testing in a live mobile environment.

Course Customization Options

• If you need a customized version of this course, please contact us to discuss your specific requirements.

Gemini 3 is an AI-driven system designed to enhance Google Search and boost workplace productivity through its AI Mode.

This instructor-led, live training (available both online and onsite) is targeted at beginner-level users who aim to utilize Gemini 3 to streamline their research, planning, analysis, and daily knowledge work.

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

• Utilize Gemini 3 in AI Mode to speed up research and information discovery.
• Implement Gemini-assisted workflows to summarize content and extract valuable insights.
• Incorporate Gemini 3 features into their everyday productivity tasks.
• Follow best practices for the responsible and reliable use of AI tools.

Format of the Course

• Guided presentations and demonstrations led by an instructor.
• 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 available options.

Gemini 3 is a sophisticated multimodal AI system that includes advanced safeguards, robust governance features, and strong resistance to adversarial manipulation.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who aim to deploy Gemini 3 in a secure, responsible, and policy-compliant manner.

Upon completing this course, participants will be able to:

• Utilize the safety features of Gemini 3 to minimize the risk of misuse.
• Establish governance frameworks that align with organizational policies.
• Enhance system resilience against prompt injections and adversarial attacks.
• 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 scenarios for governance or security-focused labs can be included upon request.

Gemini 3 is a sophisticated multimodal AI system designed to support in-depth reasoning, high-context tasks, and extended analytical workflows.

This instructor-led, live training (available online or onsite) is tailored for advanced professionals who aim to utilize the Deep-Think Mode for complex analysis, modeling, and strategic planning.

By completing this course, participants will be able to:

• Apply the Deep-Think Mode to address intricate, multi-faceted problems.
• Develop reasoning pipelines that include long-context analysis.
• Enhance prompts for iterative, multi-step reasoning tasks.
• Integrate Deep-Think capabilities into research or production processes.

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 designed to process and reason across various data types, including images, video, audio, and text.

This instructor-led, live training (available both online and on-site) is targeted at intermediate-level practitioners who want to design and develop applications that leverage Gemini 3’s cross-modal intelligence.

Upon completing this workshop, participants will be able to:

• Integrate Gemini 3's multimodal endpoints into practical workflows.
• Process and analyze visual, audio, video, and text inputs within unified pipelines.
• Create interactive prototypes using multimodal prompts.
• Enhance the performance, accuracy, and usability of multimodal outputs.

Format of the Course

• Guided lectures featuring demonstrations.
• Scenario-based exercises and hands-on practice sessions.
• Practical implementation in live development environments.

Course Customization Options

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

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

This instructor-led, live training (available both online and onsite) is targeted at advanced-level technical professionals who are interested in designing, building, and deploying autonomous agents with the help of Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Develop autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Create agents in 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-led demonstrations paired with interactive discussions.
• Hands-on experience in developing autonomous agents.
• Practical implementation using Antigravity, Gemini 3, and associated cloud tools.

Course Customization Options

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

Vertex AI offers streamlined 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-level to intermediate-level practitioners who want to integrate 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 applications.
• 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 sophisticated AI model designed to handle and reason with text, images, and structured inputs, making it ideal for supporting complex workflows in enterprise settings.

This instructor-led, live training (available both online and on-site) is tailored for intermediate-level professionals who aim to develop reasoning-driven and multimodal workflows using Gemini 3 within their corporate environments.

After completing this course, participants will be equipped with the skills to:

• Utilize Gemini 3’s reasoning capabilities to enhance enterprise planning and decision-making processes.
• Create multimodal workflows that integrate text, images, documents, and tabular data.
• Develop business workflows using AI Studio and Vertex AI tools.
• Optimize results through prompt engineering and iterative refinement techniques.

Format of the Course

• Guided demonstrations accompanied by expert explanations.
• Practical exercises centered on designing workflows and handling multimodal tasks.
• Hands-on experimentation in AI Studio or Vertex AI environments.

Course Customization Options

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

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 on-site) is targeted 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 Uzbekistan (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 constructing 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 sophisticated applications in planning, reasoning, and cross-modal intelligence.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced 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.
• Develop long-context workflows for complex reasoning tasks.
• Create pipelines that combine text, audio, and image analysis.
• Fine-tune Gemini API parameters to enhance performance and cost efficiency.

Format of the Course

• Interactive lectures and discussions.
• Practical labs focused on multimodal workflows.
• Project-based exercises to apply 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 empowers developers to create intelligent applications that are context-aware and highly responsive.

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 practical projects, real-world examples, and collaborative exercises.

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

• Effectively set up and use Google Gemini AI along with related tools.
• Develop applications driven by AI using both 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 designed for building, testing, and deploying workflows and applications driven by artificial intelligence.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level professionals who aim to streamline and optimize their AI workflows using Google AI Studio.

Upon completing this training, participants will acquire the skills to:

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

Format of the Course

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

Course Customization Options

• To tailor this course to specific tools, workflows, or use cases, please contact us for customized training options.

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

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

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

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

Format of the Course

• Interactive lectures and discussions.
• Practical labs utilizing Vertex AI Agent Builder and RAG components.
• Project-based exercises to develop and enhance agents.

Course Customization Options

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

Vertex AI offers 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 (available online or on-site) is designed for intermediate to advanced practitioners who want 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 in 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 lecture and discussion.
• 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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 offers a comprehensive 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 for creative, marketing, and enterprise applications.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals who aim 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 workflows.
• Refine prompts and fine-tune outputs for quality and brand consistency.
• Deploy production-ready generative media solutions in enterprise environments.

Format of the Course

• Interactive lecture and discussion sessions.
• Practical exercises with Vertex AI 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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (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.

This instructor-led, live training in Uzbekistan (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.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical practitioners who wish to use Google Cloud to build AI agents that can automate tasks, use tools, and work 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.