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

Google Antigravity serves as an agentic development environment engineered to create autonomous agents that can plan, reason, code, and execute actions leveraging Gemini 3’s multimodal capabilities.

This instructor-led, live training—available both online and onsite—is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity ecosystem.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, strategic planning, and execution.
• Create agents within Antigravity capable of analyzing tasks, generating code, and interacting with external tools.
• Integrate Gemini-driven agents with enterprise systems and APIs seamlessly.
• Enhance agent behavior, safety, and reliability within complex operational environments.

Course Format

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

Customization Options

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

Nano Banana is a specialized model designed to deliver rapid and efficient AI processing directly on local devices.

This live, instructor-led training (available online or onsite) is tailored for intermediate-level professionals aiming to build and deploy AI-driven mobile applications using Nano Banana, eliminating the dependency on cloud infrastructure.

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

• Deploy Nano Banana models natively on mobile platforms.
• Enhance AI workloads for superior performance and energy efficiency.
• Integrate advanced text and image generation capabilities into mobile applications.
• Diagnose, benchmark, and refine on-device inference pipelines.

Course Structure

• Guided demonstrations by the instructor alongside collaborative discussions.
• Practical exercises centered on real-world application scenarios.
• Live hands-on development and testing within a mobile environment.

Customization Options

• For a tailored version of this course, please reach out to discuss specific customization requirements.

Nano Banana is a lightweight AI framework engineered to compress and accelerate models, ensuring high efficiency in on-device and edge environments.

This live, instructor-led training—available both online and onsite—targets intermediate to advanced professionals aiming to optimize, compress, and deploy AI models in edge settings using Nano Banana.

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

• Implement compression and quantization methods on AI models.
• Enhance inference speed specifically for edge devices.
• Utilize Nano Banana’s toolchain to convert and deploy models.
• Analyze the balance between model accuracy, latency, and resource consumption.

Course Delivery Method

• Interactive instructor-led technical sessions paired with guided discussions.
• Practical exercises based on real-world edge-AI use cases.
• Live implementation within a pre-configured environment.

Customization Opportunities

• For content tailored to specific organizational needs, contact us to arrange a customized version of this course.

Gemini 3 is a sophisticated multimodal AI platform engineered to facilitate deep reasoning, manage high-context tasks, and execute long-form analytical processes effectively.

This instructor-led, live training—available either online or onsite—is tailored for advanced professionals seeking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning initiatives.

Upon completing this course, participants will be empowered to:

• Utilize Deep-Think Mode to resolve intricate, multi-layered challenges.
• Architect reasoning pipelines that encompass long-context analysis.
• Refine prompts for iterative, multi-step reasoning tasks.
• Embed Deep-Think capabilities into research or production environments.

Course Format

• Expert-led presentations featuring real-world case studies.
• Practical reasoning labs and structured learning exercises.
• Applied development within live experimentation environments.

Customization Options

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

Gemini 3 is a sophisticated multimodal AI model engineered to perform complex reasoning across text, images, and structured data, empowering robust enterprise workflows.

This live, instructor-led training—available online or on-site—is tailored for intermediate-level professionals seeking to construct reasoning-centric and multimodal workflows using Gemini 3 within corporate environments.

Upon completion of this program, participants will be equipped with the competence to:

• Leverage Gemini 3's reasoning strengths to enhance enterprise planning and decision-making processes.
• Architect multimodal processes that seamlessly integrate text, images, documents, and tabular data.
• Engineer business workflows utilizing AI Studio and Vertex AI frameworks.
• Refine model outputs through advanced prompt engineering and iterative optimization techniques.

Training Format

• Expert-led guided demonstrations with in-depth technical explanations.
• Practical exercises centered on workflow architecture and multimodal task execution.
• Direct hands-on practice within AI Studio or Vertex AI environments.

Customization Opportunities

• For organizations requiring specific workflow scenarios or data integration examples, please reach out to tailor the training content to your needs.

Gemini 3 is an intelligent AI framework designed to elevate Google Search and enhance workplace efficiency through the utilization of AI Mode.

This live, instructor-led training session (available online or onsite) is tailored for novice users seeking to harness the power of Gemini 3 to optimize research, strategic planning, data analysis, and routine knowledge management tasks.

During this program, participants will acquire the essential competencies required to:

• Leverage Gemini 3 within AI Mode to expedite research and uncover new information.
• Utilize Gemini-enhanced workflows to condense content and derive meaningful insights.
• Seamlessly incorporate Gemini 3 functionalities into daily operational tasks.
• Implement best practices for the responsible and dependable deployment of AI technologies.

Course Delivery Format

• Guided presentations and live demonstrations led by instructors.
• Structured practical exercises designed to build tangible skills.
• Application of concepts through real-world search and productivity scenarios.

Customization Opportunities

• For training content specifically adapted to your unique workflows, please reach out to discuss available customization options.

This instructor-led, live training in the UAE (available online or onsite) targets beginner to intermediate-level developers seeking to incorporate AI functionalities into their applications via Google Gemini AI.

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

• Comprehend the fundamentals of large language models.
• Set up and apply Google Gemini AI for diverse AI tasks.
• Implement transformations between text and images.
• Construct basic AI-driven applications.
• Explore advanced features and customization capabilities within Google Gemini AI.

This instructor-led, live training in the UAE (online or onsite) is designed for intermediate-level content creators looking to leverage Google Gemini AI to improve both the quality and efficiency of their work.

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

• Grasp the significance of AI in the content creation landscape.
• Configure and utilize Google Gemini AI to produce and refine content.
• Employ text-to-text transformations to generate innovative and distinct content.
• Deploy SEO strategies supported by AI-driven insights.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led live training in the UAE (online or onsite) targets intermediate-level customer service professionals looking to integrate Google Gemini AI into their service operations.

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

• Comprehend the impact of AI on customer service.
• Configure Google Gemini AI to automate and personalize customer interactions.
• Leverage text-to-text and image-to-text transformations to enhance service efficiency.
• Formulate AI-driven strategies for analyzing customer feedback in real time.
• Explore advanced features to deliver a seamless customer service experience.

This instructor-led live training in the UAE (online or onsite) is designed for beginner to intermediate data analysts and business professionals who aim 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.

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

This instructor-led live training (available online or onsite) is designed for beginner to intermediate developers looking to apply AI concepts practically using Google Gemini AI. The course emphasizes hands-on projects, real-world examples, and collaborative exercises.

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

• Effectively set up and utilize Google Gemini AI alongside related tools.
• Create AI-driven applications that process text and image inputs.
• Utilize NotebookLM to streamline practical AI workflows and document-based reasoning.
• Work in small groups to design and deploy functional AI prototypes.

Course Format

• Interactive lectures paired with guided discussions.
• Hands-on laboratory exercises and collaborative projects.
• Practical assignments utilizing Google Gemini AI and NotebookLM.

Course Customization Options

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

This live, instructor-led training in the UAE (available online or onsite) is designed for intermediate-level public sector professionals who wish to employ Gemini to produce high-quality content, support research efforts, and boost productivity through 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.

Gemini 3 serves as a versatile multimodal AI platform designed to process data and perform complex reasoning across text, images, audio, and video streams.

This instructor-led live training session, available either online or onsite, is specifically tailored for intermediate-level professionals who aim to develop and build applications leveraging the cross-modal intelligence of Gemini 3.

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

• Integrate Gemini 3 multimodal endpoints into practical, real-world workflows.
• Process and interpret diverse visual, audio, video, and text inputs within unified pipelines.
• Develop interactive prototypes utilizing advanced multimodal prompting techniques.
• Refine multimodal outputs to enhance performance, precision, and user experience.

Course Delivery Format

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

Customization Options

• For bespoke content or custom project-based training requirements, please reach out to us to schedule a consultation.

Nano Banana is a compact AI framework specifically engineered to enable efficient on-device model execution on the Android platform.

Delivered as a live, instructor-led session either online or onsite, this program is tailored for Android developers ranging from beginner to intermediate levels who aim to embed optimized AI capabilities directly into their mobile applications.

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

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

Course Structure

• Interactive presentations complemented by collaborative discussions.
• Practical coding exercises designed to solidify core concepts.
• Hands-on implementation using practical Android use cases.

Customization Options

• For bespoke course variations, please contact us to discuss a tailored program.

Nano Banana serves as a specialized on-device AI framework engineered to execute models locally while upholding rigorous standards for data privacy and regulatory adherence.

Delivered as an instructor-led live session—available either online or onsite—this training is tailored for professionals ranging from beginner to intermediate levels who seek to deploy privacy-preserving AI capabilities on mobile platforms, particularly within regulated or high-sensitivity operational contexts using Nano Banana.

Upon successfully completing this program, participants will be equipped to:

• Develop mobile applications capable of processing data privately and securely on the device.
• Integrate Nano Banana to facilitate AI workflows that strictly meet compliance requirements.
• Implement privacy-enhancing strategies, including data anonymization and secure processing methods.
• Assess and effectively mitigate potential privacy risks throughout the mobile AI development lifecycle.

Course Format

• Guided instructional sessions enriched by interactive discussions and Q&A opportunities.
• Practical exercises centered on privacy-centric mobile AI use cases.
• Hands-on implementation work conducted within a realistic development environment.

Customization Options

• To address specific organizational requirements or sector-specific compliance mandates, please reach out to us to tailor this program to your needs.