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, logical reasoning, coding, and execution.

This instructor-led live training, available either online or on-site, is tailored for advanced technical professionals seeking to architect, develop, and deploy autonomous agents within the Antigravity ecosystem using Gemini 3.

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

• Construct autonomous workflows that harness Gemini 3 for high-level reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing complex tasks, generating code, and interfacing with various tools.
• Seamlessly integrate Gemini-powered agents with enterprise-grade systems and external APIs.
• Refine agent performance, ensuring safety and reliability even within complex operational environments.

Course Structure

• Expert-led demonstrations paired with interactive, collaborative discussions.
• Hands-on sessions focused on the practical experimentation of autonomous agent development.
• Real-world application utilizing Antigravity, Gemini 3, and complementary cloud tools.

Customization Opportunities

• Should your team require specific domain-focused agent behaviors or bespoke integrations, please reach out to tailor the program to your needs.

Nano Banana serves as a specialized model engineered for rapid and efficient AI execution directly on local devices.

Designed for intermediate-level professionals, this instructor-led live training—available both online and onsite—guides you through designing and deploying AI-powered mobile applications leveraging Nano Banana without the need for external cloud infrastructure.

By the end of this program, participants will have the capability to:

• Deploy Nano Banana models natively on mobile platforms.
• Enhance AI workload performance and reduce energy consumption.
• Embed text and image generation capabilities into mobile applications.
• Diagnose, benchmark, and optimize on-device inference workflows.

Training Delivery Format

• Instructor-led demonstrations accompanied by interactive group discussions.
• Practical exercises centered on practical, real-world scenarios.
• Direct development and testing within an active mobile environment.

Customization Possibilities

• Should you require a tailored version of this curriculum, please reach out to discuss potential customization options.

Nano Banana is a streamlined AI framework engineered to streamline model compression and accelerate performance, ensuring seamless on-device and edge deployment.

This live, instructor-led training program—available both online and onsite—is tailored for intermediate to advanced professionals seeking to refine, compress, and deploy AI models in edge environments using Nano Banana.

Upon completing this program, participants will be equipped to:

• Implement compression and quantization strategies for AI models.
• Boost inference speeds specifically for edge devices.
• Utilize Nano Banana’s toolchain to convert and deploy models effectively.
• Analyze the balance between model accuracy, response time, and resource consumption.

Delivery Format

• Expert-led technical deep-dives and interactive discussions.
• Practical exercises based on real-world edge-AI use cases.
• Live implementation within a pre-configured technical environment.

Tailored Learning Options

• Contact us to discuss customized content or organization-specific adaptations for a bespoke training experience.

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

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

Upon completing this course, participants will be equipped to:

• Apply Deep-Think Mode to resolve 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.

Course Format

• Expert-led presentations featuring 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 multimodal AI model engineered to process and reason across text, images, and structured data, enabling it to support intricate enterprise operations.

This live, instructor-led training session—available both online and on-site—is tailored for intermediate professionals seeking to construct reasoning-based and multimodal workflows using Gemini 3 within corporate settings.

Upon finishing this course, learners will be equipped to:

• Leverage Gemini 3’s reasoning strengths to enhance enterprise planning and decision-making processes.
• Architect multimodal workflows that seamlessly integrate text, images, documents, and tabular data.
• Build efficient business workflows utilizing AI Studio and Vertex AI platforms.
• Refine outputs by applying prompt engineering and iterative improvement techniques.

Course Delivery Structure

• Step-by-step demonstrations complemented by expert analysis.
• Practical assignments centered on workflow architecture and multimodal applications.
• Hands-on practice within AI Studio or Vertex AI environments.

Customization Opportunities

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

Gemini 3 serves as an intelligent, AI-driven solution designed to elevate Google Search capabilities and enhance professional efficiency through the power of AI Mode.

This live, instructor-led training session, available both online and onsite, is tailored for entry-level professionals eager to utilize Gemini 3 to simplify research processes, strategic planning, data analysis, and routine knowledge management.

During this training, attendees will develop the competencies required to:

• Leverage Gemini 3 via AI Mode to speed up research and uncover critical information.
• Implement Gemini-supported workflows to condense content and derive meaningful insights.
• Incorporate Gemini 3 capabilities into daily operational tasks.
• Embrace best practices for the responsible and dependable application of AI technologies.

Delivery Format

• Expert-led presentations accompanied by live demonstrations.
• Organized practical exercises designed to build hands-on proficiency.
• Application of concepts through live search and real-world productivity scenarios.

Customization Opportunities

• For training tailored specifically to your operational workflows, please reach out to explore personalization options.

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

Upon completing 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.
• Construct basic AI-driven applications.
• Explore advanced features and customization options within Google Gemini AI.

This instructor-led, live training in Nigeria (online or onsite) targets intermediate-level content creators looking to leverage Google Gemini AI to improve their content quality and efficiency.

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

• Grasp the role of AI in content creation.
• Configure and use Google Gemini AI to generate and refine content.
• Apply text-to-text transformations to create unique and engaging content.
• Deploy SEO strategies informed by AI-driven insights.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Nigeria (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 Nigeria (online or onsite) is designed for 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 fundamentals of Google Gemini AI.
• Connect diverse data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and extract insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

Google Gemini AI represents a state-of-the-art large language model that delivers sophisticated AI capabilities, including natural language comprehension, text creation, and multimodal processing. This empowers developers to craft intelligent, context-aware applications.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate developers eager to put AI concepts into practice using Google Gemini AI. Through hands-on projects, real-world examples, and collaborative exercises, participants will gain practical experience.

Upon completing this training, participants will be equipped to:

• Effectively set up and utilize Google Gemini AI and its associated tools.
• Create AI-driven applications that process 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 laboratory exercises and collaborative projects.
• Practical assignments involving Google Gemini AI and NotebookLM.

Customization Options

• For customized training requests, please get in touch to arrange your session.

This instructor-led, live training in Nigeria (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.

Gemini 3 is a powerful multimodal AI platform designed to process and reason across images, video, audio, and text seamlessly.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level practitioners looking to design and develop applications that leverage Gemini 3’s cross-modal intelligence.

By the end of this workshop, participants will have acquired the skills to:

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

Course Format

• Guided lectures accompanied by live demonstrations.
• Scenario-based exercises and extensive hands-on practice sessions.
• Practical implementation utilizing live development environments.

Customization Options

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

Nano Banana serves as a lightweight artificial intelligence framework specifically engineered to facilitate the efficient execution of models directly on Android devices.

Tailored for Android developers ranging from beginner to intermediate levels, this instructor-led live training (available online or onsite) focuses on integrating optimized AI capabilities seamlessly into mobile applications.

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

• Integrate the Nano Banana SDK into projects within Android Studio.
• Execute real-time AI inference through the utilization of Nano Banana APIs.
• Refine model performance to suit the constraints of mobile environments.
• Adopt industry best practices for ensuring secure and privacy-centric on-device AI operations.

Course Delivery Method

• Interactive presentations paired with collaborative discussions.
• Practical coding tasks designed to solidify core theoretical concepts.
• Practical application exercises using real-world Android scenarios.

Customization Possibilities

• To tailor this course to your specific needs, please contact us to discuss a customized program.

Nano Banana is a specialized on-device AI framework engineered to execute models locally, ensuring robust privacy protections and adherence to strict regulatory standards.

This instructor-led live training, available online or on-site, is tailored for professionals ranging from beginners to intermediate levels who are looking to deploy privacy-preserving AI capabilities on mobile platforms. It is particularly suited for those operating in highly regulated or sensitive sectors utilizing Nano Banana.

Upon completing this program, participants will have the capability to:

• Develop mobile applications that handle data privately directly on the device.
• Seamlessly integrate Nano Banana to establish compliant AI workflows.
• Implement privacy-enhancing methods, including data anonymization and secure processing.
• Identify and mitigate privacy risks throughout the mobile AI development lifecycle.

Course Delivery Method

• Expert-guided instruction enriched by interactive discussions and Q&A sessions.
• Practical exercises focused on privacy-centric mobile AI scenarios.
• Direct hands-on implementation within a realistic development environment.

Customization Possibilities

• We invite you to reach out to tailor this program to meet your organization’s specific requirements or sector-specific compliance obligations.