Building On-Device AI Apps with Nano Banana Training Course

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

Offered as an instructor-led, live training session (available online or on-site), this course is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents within the Antigravity ecosystem using Gemini 3.

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

• Create autonomous workflows that harness Gemini 3 for intricate reasoning, planning, and task execution.
• Develop agents within Antigravity capable of analysing tasks, generating code, and interacting with various tools.
• Integrate Gemini-powered agents seamlessly with enterprise systems and external APIs.
• Enhance agent behaviour, ensuring safety and reliability within complex operational environments.

Course Format

• Combination of expert-led demonstrations and interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical implementation leveraging Antigravity, Gemini 3, and complementary cloud tools.

Customisation Options

• Should your team require domain-specific agent behaviours or bespoke integrations, please reach out to us to tailor the programme to your needs.

Nano Banana is a streamlined AI framework engineered to compress and accelerate models, ensuring optimal performance for on-device and edge deployment scenarios.

This live, instructor-led training—available either online or onsite—is tailored for mid-to-senior-level professionals seeking to refine, compress, and deploy AI models within edge environments leveraging Nano Banana.

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

• Implement compression and quantization techniques for AI models.
• Enhance inference speed specifically for edge hardware.
• Utilize the Nano Banana toolchain for model conversion and deployment.
• Analyze the balance between model accuracy, latency, and resource consumption.

Course Structure

• Technical workshops led by instructors, paired with guided discussions.
• Practical exercises focused on real-world edge-AI use cases.
• Implementation tasks performed within a pre-configured live environment.

Customization Availability

• Contact us to discuss bespoke content or organizational adaptations for a tailored course version.

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

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

Upon completing this course, attendees will have the capability to:

• Leverage Deep-Think Mode to resolve intricate, multi-dimensional challenges.
• Architect reasoning pipelines that include long-context analysis.
• Refine prompts for iterative, multi-stage reasoning operations.
• Incorporate Deep-Think features into research or production environments.

Course Delivery Format

• Expert-led presentations featuring practical case studies.
• Practical reasoning labs and structured practice sessions.
• Applied development through live experimentation setups.

Customization Possibilities

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

Gemini 3 serves as an advanced multimodal AI model engineered to process and reason across text, images, and structured data, thereby facilitating complex enterprise operations.

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

Upon successful completion of this course, participants will be equipped with the competencies to:

• Leverage Gemini 3's reasoning strengths to enhance enterprise planning and decision-making processes.
• Architect multimodal systems that integrate text, imagery, documentation, and tabular data.
• Construct business workflows utilizing AI Studio and Vertex AI platforms.
• Refine model outputs by applying prompt engineering strategies and iterative improvement techniques.

Course Structure

• Guided demonstrations accompanied by detailed expert analysis.
• Practical exercises centered on workflow architecture and multimodal tasks.
• 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 accordingly.

Gemini 3 is an AI-driven system designed to elevate the Google Search experience and optimize workplace efficiency through AI Mode.

This live, instructor-led training—available online or on-site—is tailored for beginners looking to harness Gemini 3 for streamlining research, strategic planning, data analysis, and routine knowledge work.

During this program, participants will develop the essential skills to:

• Accelerate research and information discovery using Gemini 3 in AI Mode.
• Utilize Gemini-assisted workflows to condense content and uncover key insights.
• Seamlessly integrate Gemini 3 features into daily productivity routines.
• Implement best practices for the responsible and reliable utilization of AI tools.

Course Format

• Guided presentations and live demonstrations led by an instructor.
• Structured practical exercises designed to build hands-on skills.
• Real-world applications utilizing live search and productivity scenarios.

Customization Options

• To tailor the training to your specific workflows, please reach out to discuss potential customization options.

This live, instructor-led training in Denmark (available online or onsite) is tailored for developers with beginner to intermediate experience who aim to incorporate AI capabilities into their applications using Google Gemini AI.

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

• Comprehend the essential principles of large language models.
• Set up and apply Google Gemini AI for a variety of AI-related tasks.
• Perform text-to-text and image-to-text conversions.
• Construct basic applications powered by AI.
• Explore advanced functionalities and customization options available in Google Gemini AI.

This instructor-led, live session, delivered in Denmark (either online or on-site), is tailored for intermediate-level content creators aiming to harness Google Gemini AI to boost the quality and productivity of their work.

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

• Understand the impact of AI in the content creation process.
• Configure and utilize Google Gemini AI for generating and refining content.
• Leverage text-to-text transformations to create original and creative material.
• Apply SEO tactics supported by AI-derived insights.
• Assess content effectiveness and modify strategies with the aid of Gemini AI.

This instructor-led, live training (online or onsite) in Denmark is designed for intermediate-level customer service professionals seeking to adopt Google Gemini AI within their service operations.

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

• Understand the transformative impact of AI on customer service.
• Set up Google Gemini AI to automate and tailor customer interactions.
• Apply text-to-text and image-to-text transformations to enhance service efficiency.
• Develop AI-based strategies for real-time customer feedback analysis.
• Explore advanced capabilities to deliver a seamless customer service experience.

This live, instructor-led session in Denmark (either online or onsite) is tailored for data analysts and business professionals from beginner to intermediate levels who aim to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Comprehend the basics of Google Gemini AI.
• Link diverse data sources to Gemini AI.
• Investigate data via natural language queries.
• Examine data patterns to derive insights.
• Generate compelling data visualizations.
• Communicate insights based on data effectively.

Google Gemini AI represents a state-of-the-art large language model equipped with sophisticated capabilities, including natural language understanding, text generation, and multimodal processing. This technology empowers developers to create intelligent, context-aware applications.

This instructor-led live training, available both online and on-site, is designed for developers ranging from beginners to intermediate levels who are eager to apply AI concepts in practice. The course utilizes Google Gemini AI through hands-on projects, real-world scenarios, and collaborative exercises.

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

• Effectively configure and utilize Google Gemini AI and associated tools.
• Build AI-driven applications that process both text and image inputs.
• Utilize NotebookLM to facilitate practical AI workflows and document-based reasoning.
• Collaborate in small teams to design and deploy functional AI prototypes.

Course Delivery Style

• Interactive presentations complemented by guided discussions.
• Practical lab sessions and group-based projects.
• Applied assignments featuring Google Gemini AI and NotebookLM.

Options for Tailored Training

• To explore customized training options for this curriculum, please reach out to us to discuss arrangements.

This instructor-led live training in Denmark (online or onsite) is designed for intermediate-level public sector professionals who aim to utilize Gemini for generating high-quality content, supporting research initiatives, and enhancing productivity via advanced AI interactions.

Following this training, participants will be able to:

• Construct more effective and tailored prompts for specific use cases.
• Create original and creative content using Gemini.
• Precisely summarize and compare complex information.
• Employ Gemini for efficient brainstorming, planning, and idea organization.

Nano Banana is a streamlined large language model framework engineered for cost-effective, high-efficiency performance across a wide range of devices and corporate settings.

This live, instructor-led training—available online or on-site—is tailored for early-stage professionals seeking to grasp how compact LLMs can be deployed for practical, on-device solutions that significantly reduce operational costs.

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

• Describe the fundamental principles underlying lightweight LLMs and the Nano Banana framework.
• Recognize suitable scenarios for on-device and budget-friendly AI deployment.
• Assess the potential of Nano Banana within various business and IT contexts.
• Make well-informed decisions regarding integration strategies within their respective organizations.

Course Format

• Instructor-led explanations enhanced by interactive discussions.
• Practical exercises designed to solidify key concepts.
• Hands-on exploration of the capabilities inherent in lightweight LLMs.

Course Customization

• Interested in a tailored version of this training? Please reach out to discuss customizing the program.

Gemini 3 serves as an advanced multimodal AI platform designed to process and reason across diverse data types, including images, video, audio, and text.

This live, instructor-led training session, available either online or on-site, is tailored for intermediate-level professionals looking to develop applications that leverage the cross-modal intelligence of Gemini 3.

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, auditory, video, and textual data within unified processing pipelines.
• Develop interactive prototypes utilizing complex multimodal prompts.
• Refine multimodal outputs to enhance performance, precision, and user experience.

Course Structure

• Instructional lectures accompanied by live demonstrations.
• Scenario-driven exercises featuring extensive hands-on practice.
• Practical implementation exercises conducted within live development environments.

Customization Possibilities

• We welcome requests for bespoke content or project-specific training; please reach out to discuss your requirements.

Nano Banana is a lightweight AI framework engineered for high-efficiency, on-device model execution on Android platforms.

This live, instructor-led training—available online or onsite—is tailored for Android developers ranging from beginner to intermediate level 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 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, privacy-focused on-device AI implementation.

Course Format

• Guided presentations paired with collaborative discussions.
• Practical coding exercises designed to reinforce key concepts.
• Hands-on implementation using realistic Android scenarios.

Customization Options

• Contact us to discuss arranging a tailored version of this course.

Nano Banana serves as an on-device AI framework engineered to execute models locally, thereby upholding rigorous privacy standards and regulatory compliance.

This live, instructor-led training, available both online and on-site, is tailored for professionals at beginner to intermediate levels seeking to integrate privacy-preserving AI capabilities into mobile applications within regulated or sensitive contexts using Nano Banana.

Upon completing this course, participants will gain the proficiency to:

• Develop mobile applications capable of processing data privately on the device.
• Incorporate Nano Banana to establish AI workflows that meet compliance requirements.
• Utilize privacy-enhancing methods, including anonymization and secure data handling.
• Assess and address privacy risks throughout the mobile AI development lifecycle.

Course Delivery Method

• Guided learning sessions enriched by interactive discussions and Q&A.
• Practical tasks centered on privacy-centric mobile AI use cases.
• Real-world implementation within an active development environment.

Customization Possibilities

• To address specific organizational requirements or industry-specific compliance matters, please reach out to tailor this program.