Introduction to Nano Banana: Lightweight LLMs for Real-World Applications Training Course

Google Antigravity serves as an agentic development environment built to create autonomous agents that leverage Gemini 3's multimodal capabilities for planning, reasoning, coding, and execution.

Delivered as an instructor-led, live training session—available either online or onsite—this program targets advanced technical professionals seeking to design, build, and deploy autonomous agents utilizing Gemini 3 within the Antigravity environment.

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

• Construct autonomous workflows that harness Gemini 3 for reasoning, planning, and execution.
• Create agents in Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Seamlessly integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability across complex environments.

Course Format

• Expert-led demonstrations paired with interactive discussions.
• Practical, hands-on experimentation focused on autonomous agent development.
• Real-world implementation using Antigravity, Gemini 3, and complementary cloud tools.

Course Customization Options

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

Nano Banana is a specialized model designed for rapid and efficient on-device AI processing.

This live, instructor-led session—available online or onsite—targets intermediate practitioners aiming to develop and release AI-enabled mobile applications utilizing Nano Banana without depending on cloud resources.

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

• Deploy Nano Banana models directly on mobile devices.
• Enhance AI workload performance while minimizing energy consumption.
• Incorporate text and image generation capabilities into mobile applications.
• Diagnose, benchmark, and optimize on-device inference pipelines.

Course Structure

• Guided demonstrations paired with interactive discussions.
• Practical tasks centered on real-world scenarios.
• Live mobile environment development and testing sessions.

Customization Options

• For a tailored version of this course, please reach out to us to explore customization possibilities.

Nano Banana serves as a streamlined AI framework engineered to boost speed and reduce model size, facilitating efficient execution on on-device and edge infrastructure.

This live, instructor-facilitated program, available both online and on-site, targets professionals at intermediate to advanced levels who aim to refine, compress, and integrate AI models into edge environments leveraging Nano Banana.

By the end of the training, participants will be equipped to:

• Implement compression and quantization strategies for AI models.
• Enhance inference speeds specifically for edge hardware.
• Leverage Nano Banana’s specialized toolchain for model conversion and deployment.
• Assess the balance between accuracy, response time, and resource consumption.

Course Delivery Method

• Facilitated technical workshops accompanied by guided discussions.
• Practical labs based on real-world edge-AI applications.
• Live environment configuration for hands-on implementation.

Tailoring the Course Content

• Contact us to discuss customized content or specific organizational adaptations for this program.

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, high-context operations, and extensive analytical processes.

Delivered as a live, instructor-led training session (available online or onsite), this program is tailored for advanced professionals seeking to utilize Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completion of this course, participants will possess the capability to:

• Utilize Deep-Think Mode to address complex, multi-faceted challenges.
• Architect reasoning pipelines that include long-context analysis.
• Refine prompts for iterative, multi-step reasoning activities.
• Incorporate Deep-Think capabilities into research or production environments.

Course Structure

• Expert-driven presentations featuring real-world examples.
• Practical reasoning labs and structured practical exercises.
• Application development utilizing live experimentation environments.

Customization Options

• Bespoke sessions or domain-specific deep-reasoning projects can be organized upon request.

Gemini 3 represents a sophisticated multimodal AI model engineered to process text, visual data, and structured inputs, thereby facilitating complex operational workflows within enterprise settings.

This live, instructor-led training—available both online and onsite—is specifically tailored for mid-level professionals seeking to construct reasoning-centric and multimodal workflows using Gemini 3 in a corporate environment.

Upon completion of this program, participants will possess the competency to:

• Leverage Gemini 3’s reasoning features to enhance enterprise planning and decision-making processes.
• Architect multimodal processes that integrate text, images, documents, and tabular data.
• Construct business workflows utilizing AI Studio and Vertex AI instrumentation.
• Refine outputs via advanced prompt engineering and continuous iterative improvement.

Training Structure

• Guided live demonstrations accompanied by expert-led analysis.
• Practical exercises concentrated on workflow architecture and multimodal tasks.
• Direct hands-on experimentation within AI Studio or Vertex AI platforms.

Customization Availability

• For organizations requiring specific workflow scenarios or data integration cases, please reach out to us to tailor the training experience.

Gemini 3 is an AI-driven system designed to elevate Google Search experiences and workplace efficiency via its AI Mode capability.

Delivered as an instructor-led, live session available online or onsite, this course is tailored for beginners seeking to harness the power of Gemini 3 to optimize research, strategic planning, data analysis, and routine knowledge-based tasks.

By the end of this training, participants will have acquired the competencies required to:

• Leverage Gemini 3 in AI Mode to expedite research processes and information retrieval.
• Implement Gemini-supported workflows to condense content and derive actionable insights.
• Seamlessly integrate Gemini 3 capabilities into daily productivity routines.
• Embrace best practices for the responsible and dependable application of AI tools.

Course Format

• Guided presentations and live demonstrations led by an instructor.
• Organized practical exercises focused on skill development.
• Application of concepts through live search and real-world productivity scenarios.

Customization Options

• For training specifically adapted to your unique workflows, please reach out to us to explore customization possibilities.

This instructor-led, live training in Uzbekistan (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.

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.

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 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 Uzbekistan (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.

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 live, instructor-led training in Uzbekistan (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.

Gemini 3 represents a multimodal AI framework designed to process and reason across images, video, audio, and text simultaneously.

Delivered through instructor-led live sessions (available online or onsite), this course is tailored for intermediate-level practitioners seeking to design and develop applications that leverage Gemini 3's cross-modal intelligence.

By the end of this workshop, participants will be equipped to:

• Integrate Gemini 3's multimodal endpoints into practical, real-world workflows.
• Handle and interpret visual, audio, video, and textual data within unified processing pipelines.
• Develop interactive prototypes utilizing sophisticated multimodal prompts.
• Refine multimodal outputs to maximize performance, accuracy, and user experience.

Course Structure

• Guided lectures accompanied by live demonstrations.
• Scenario-driven exercises and hands-on practical sessions.
• Real-world implementation using active development environments.

Customization Options

• For tailored content or project-based training requirements, please reach out to discuss custom arrangements.

Nano Banana serves as a streamlined AI framework engineered for optimal on-device model execution within the Android ecosystem.

This instructor-led live training, available either online or onsite, targets Android developers from beginner to intermediate levels who aim to embed optimized AI capabilities directly into their mobile applications.

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

• Integrate the Nano Banana SDK into their Android Studio workflows.
• Execute real-time AI inference leveraging Nano Banana APIs.
• Enhance model performance specifically for resource-constrained mobile environments.
• Adopt best practices for secure and privacy-focused on-device AI deployment.

Course Structure

• Facilitated presentations alongside interactive collaborative discussions.
• Practical coding tasks designed to solidify core concepts.
• Real-world implementation exercises utilizing actual Android scenarios.

Customization Opportunities

• Contact us to discuss tailored course variations and customized program arrangements.

Nano Banana is a framework built for on-device AI that executes models locally while ensuring rigorous adherence to privacy standards and regulatory requirements.

This live, instructor-led session—available online or in-person—is tailored for professionals ranging from beginner to intermediate levels who are looking to integrate privacy-preserving AI into mobile applications using Nano Banana, particularly within regulated or sensitive sectors.

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

• Develop mobile applications that handle data privately directly on the device.
• Integrate Nano Banana to facilitate compliant and secure AI workflows.
• Implement privacy-enhancing methods, including anonymization and secure processing techniques.
• Assess and address potential privacy risks throughout the mobile AI development lifecycle.

Course Delivery Method

• Structured guidance complemented by interactive discussions and Q&A sessions.
• Practical exercises focused on privacy-centric mobile AI use cases.
• Real-world hands-on implementation within an active development environment.

Customization Availability

• For specific organizational requirements or sector-specific compliance needs, please reach out to tailor this program to your context.