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

Google Antigravity serves as a specialized agentic development environment, engineered to create autonomous agents that leverage the multimodal strengths of Gemini 3 for planning, reasoning, coding, and execution.

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

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

• Construct autonomous workflows that utilize Gemini 3 for reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing complex tasks, generating code, and engaging with external tools.
• Seamlessly integrate Gemini-powered agents with existing enterprise systems and APIs.
• Enhance the behavior, safety, and reliability of agents operating in complex environments.

Course Format

• Expert-led demonstrations paired with interactive group discussions.
• Hands-on sessions focused on the practical development of autonomous agents.
• Real-world implementation utilizing Antigravity, Gemini 3, and complementary cloud-based tools.

Customization Options

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

Nano Banana is a specialized model designed to deliver rapid and efficient AI execution directly on the device.

This live, instructor-led training—available either online or onsite—is tailored for intermediate-level professionals looking to design and deploy AI-driven mobile applications using Nano Banana, eliminating the need for cloud infrastructure.

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

• Deploy Nano Banana models directly onto mobile devices.
• Enhance AI workloads to achieve optimal performance and energy efficiency.
• Embed text and image generation capabilities within mobile applications.
• Diagnose, benchmark, and fine-tune on-device inference pipelines.

Course Delivery

• Guided demonstrations by an instructor, complemented by collaborative discussions.
• Practical exercises designed around real-world scenarios.
• Direct development and testing within a live mobile environment.

Customization Options

• If you need a customized version of this course, please reach out to discuss specific requirements.

Nano Banana serves as a compact AI framework engineered to streamline and compress models, ensuring optimal efficiency for on-device and edge-based deployments.

This professional, live-led instruction (available either virtually or in person) is specifically designed for mid-level to advanced practitioners seeking to refine, reduce, and launch AI models within edge contexts utilizing Nano Banana.

Upon successful completion of this curriculum, participants will gain the capability to:

• Implement compression and quantization methodologies on AI models.
• Enhance inference speed for edge hardware.
• Transform and release models via Nano Banana’s dedicated toolkit.
• Analyze the balance between model precision, response time, and computational resource consumption.

Training Structure

• Expert-guided technical workshops and facilitated discourse.
• Practical tasks focused on authentic edge-AI use cases.
• Real-world execution within a pre-configured active environment.

Tailoring the Curriculum

• To incorporate specific organizational needs or specialized content, please contact us to discuss a bespoke version of this program.

Gemini 3 is a sophisticated multimodal AI engine built to facilitate intricate reasoning, high-context processing, and extended analytical workflows.

This live, instructor-led training, available both online and onsite, is tailored for senior professionals looking to harness Deep-Think Mode for complex analytical tasks, modeling, and strategic planning.

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

• Utilize Deep-Think Mode to resolve complex, multi-faceted challenges.
• Architect reasoning pipelines that integrate long-context analysis.
• Refine prompts for iterative, multi-stage reasoning tasks.
• Embed Deep-Think capabilities into research or production environments.

Course Structure

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

Customization Opportunities

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

Gemini 3 is a multimodal AI model engineered to reason across text, images, and structured data, thereby facilitating complex enterprise workflows.

This instructor-led live training session, available either online or onsite, is tailored for intermediate-level professionals aiming to construct reasoning-driven and multimodal workflows within enterprise settings using Gemini 3.

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

• Leverage Gemini 3’s reasoning capabilities to enhance enterprise planning and decision-making workflows.
• Architect multimodal processes that seamlessly integrate text, images, documents, and tabular data.
• Construct business workflows utilizing AI Studio and Vertex AI tools.
• Refine output quality through advanced prompt engineering and iterative optimization techniques.

Course Delivery Format

• Expert-led guided demonstrations accompanied by detailed explanations.
• Practical exercises centered on workflow design and multimodal task execution.
• Hands-on experimentation within AI Studio or Vertex AI environments.

Customization Options

• Should your organization require specific workflow scenarios or data integration examples, please reach out to us to tailor the training to your needs.

Gemini 3 is an AI-driven system designed to elevate Google Search capabilities and enhance workplace efficiency through its AI Mode feature.

This live, instructor-led session, available online or on-site, is tailored for beginners looking to harness the power of Gemini 3 to optimize research, strategic planning, data analysis, and routine knowledge tasks.

During this training, participants will develop the competency to:

• Leverage Gemini 3 in AI Mode to speed up research processes and discover relevant information more quickly.
• Utilize Gemini-assisted workflows to condense content and derive meaningful insights.
• Embed Gemini 3 functionalities into daily productivity routines.
• Implement best practices for the responsible and dependable use of AI tools.

Course Format

• Instructor-led presentations accompanied by live demonstrations.
• Structured practical exercises designed to build hands-on skills.
• Application of real-world scenarios using live search and productivity contexts.

Customization Options

• To explore training tailored specifically to your existing workflows, please reach out to discuss potential customization opportunities.

This instructor-led, live training in Greece (online or onsite) is designed for beginner to intermediate-level developers who want to integrate AI functionalities into their applications using Google Gemini AI.

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

• Grasp the fundamentals of large language models.
• Set up and utilize Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

This live, instructor-led training in Greece (online or onsite) is designed for intermediate content creators seeking to employ Google Gemini AI to boost content quality and efficiency.

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

• Comprehend the function of AI within content creation.
• Configure and utilise Google Gemini AI to generate and refine content.
• Execute text-to-text transformations to create distinctive and original material.
• Deploy SEO strategies informed by AI-generated insights.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Greece (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 Greece (online or onsite) is designed for data analysts and business professionals at beginner to intermediate levels who wish to execute complex data analysis tasks more intuitively across various industries using Google Gemini AI.

By the conclusion 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 a state-of-the-art large language model that delivers advanced AI functionalities, including natural language comprehension, text creation, and multimodal processing. This empowers developers to create intelligent, context-aware applications.

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

Upon completing this training, participants will be able to:

• Effectively set up and utilize Google Gemini AI and associated tools.
• Create AI-driven applications 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.

Course Format

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

Customization Options

• For customized training inquiries, please contact us to arrange.

This instructor-led, live training in Greece (online or onsite) is designed for public sector professionals with intermediate skills who wish to utilize Gemini to generate high-quality content, support research, and boost productivity through advanced AI interactions.

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

• Design precise and customized prompts tailored to specific scenarios.
• Produce original and innovative content using Gemini.
• Accurately summarize and compare intricate information.
• Utilize Gemini efficiently for brainstorming, planning, and structuring ideas.

Gemini 3 is a sophisticated multimodal AI platform designed to process and draw inferences from diverse data types, including images, video, audio, and text.

This live, instructor-led training session (available online or onsite) is tailored for intermediate-level practitioners aiming to develop applications that leverage the cross-modal intelligence of Gemini 3.

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

• Embed Gemini 3’s multimodal endpoints into practical, real-world workflows.
• Handle and interpret visual, audio, video, and text inputs within unified processing pipelines.
• Develop interactive prototypes utilizing advanced multimodal prompting techniques.
• Refine multimodal outputs to enhance performance, accuracy, and user experience.

Course Structure

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

Customization Opportunities

• For bespoke content or project-specific training requirements, please reach out to discuss a tailored arrangement.

Nano Banana serves as a streamlined AI framework engineered to facilitate efficient, on-device model execution within the Android ecosystem.

Tailored for Android developers ranging from entry-level to intermediate proficiency, this instructor-led live training—available both online and in-person—focuses on embedding optimized AI capabilities directly into mobile applications.

By the conclusion of this program, participants will have acquired the competence to:

• Embed the Nano Banana SDK into Android Studio projects.
• Execute real-time AI inference leveraging Nano Banana APIs.
• Enhance model performance within the resource constraints of mobile environments.
• Adopt best practices for maintaining security and privacy in on-device AI applications.

Course Delivery Format

• Structured presentations complemented by interactive group discussions.
• Practical coding sessions designed to solidify fundamental concepts.
• Hands-on application of real-world Android scenarios.

Customization Availability

• Interested parties seeking a tailored version of this curriculum are encouraged to contact us to discuss a bespoke 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.