Building On-Device AI Apps with Nano Banana Training Course

Google Antigravity serves as an agentic development environment engineered to create autonomous agents that leverage the multimodal capabilities of Gemini 3 to plan, reason, code, and execute actions.

Designed for advanced technical professionals, this instructor-led live training—available online or onsite—focuses on the design, construction, and deployment of autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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

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

Course Format

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

Customization Options

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

Nano Banana serves as a streamlined AI framework engineered to streamline and shrink model sizes, facilitating efficient execution directly on devices and within edge environments.

Tailored for intermediate to advanced professionals, this live, instructor-led training session (available online or on-site) focuses on the optimization, compression, and deployment of AI models for edge contexts utilizing Nano Banana.

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

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

Course Delivery Format

• Technical sessions led by instructors with opportunities for guided discussion.
• Practical exercises based on realistic edge-AI use cases.
• Real-world implementation within a pre-configured live environment.

Customization Possibilities

• Contact us to discuss specific organizational needs or to arrange a bespoke version of this course for tailored content.

Gemini 3 represents a sophisticated multimodal AI framework engineered to facilitate complex reasoning, manage high-context scenarios, and streamline extensive analytical processes.

This live, instructor-led training, available both online and on-site, is tailored for advanced professionals seeking to harness Deep-Think Mode for intricate analysis, predictive modeling, and strategic planning.

Upon successful completion of this program, participants will be prepared to:

• Utilize Deep-Think Mode to resolve complex, multi-layered challenges.
• Develop reasoning pipelines that effectively incorporate long-context analysis.
• Refine prompts to optimize iterative, multi-stage reasoning tasks.
• Seamlessly integrate Deep-Think capabilities into research or production environments.

Course Delivery Method

• Expert-led presentations featuring practical case studies.
• Interactive reasoning labs and structured practical exercises.
• Applied development sessions within live experimentation environments.

Customization Options

• Customized 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, thereby facilitating intricate enterprise workflows.

Delivered as an instructor-led, live training session (available online or on-site), this course is tailored for intermediate-level professionals seeking to construct reasoning-focused and multimodal workflows using Gemini 3 within corporate settings.

Upon successful completion of the course, participants will be equipped with the following capabilities:

• Leverage Gemini 3’s advanced reasoning powers to enhance enterprise planning and decision-making processes.
• Architect multimodal workflows that integrate text, imagery, documentation, and tabular datasets.
• Engineer business solutions utilizing AI Studio and Vertex AI toolsets.
• Refine output quality through strategic prompt engineering and iterative optimization techniques.

Course Structure

• Instructional demonstrations accompanied by detailed expert commentary.
• Practical hands-on activities centered on workflow architecture and multimodal task execution.
• Applied experimentation within AI Studio or Vertex AI environments.

Customization Capabilities

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

Gemini 3 is an intelligent AI system designed to elevate Google Search and improve workplace efficiency through the use of AI Mode.

Designed for beginners, this live instructor-led training (available online or on-site) focuses on utilizing Gemini 3 to optimize research, planning, analysis, and routine knowledge tasks.

During this course, participants will develop the competency to:

• Leverage Gemini 3 in AI Mode to speed up research and uncover information.
• Utilize Gemini-supported workflows to condense content and derive key insights.
• Incorporate Gemini 3 functionalities into daily productivity routines.
• Implement best practices for the responsible and dependable use of AI technologies.

Course Structure

• Guided presentations and live demonstrations led by the instructor.
• Organized practical exercises designed to build hands-on skills.
• Application of real-world scenarios involving live search and productivity tasks.

Customization Possibilities

• To receive training tailored to your specific workflows, please reach out to discuss available customization options.

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

Upon completing this training, participants will be able to:

• Grasp the fundamental principles of large language models.
• Configure and utilize Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop foundational AI-driven applications.
• Explore advanced features and customization options within Google Gemini AI.

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

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

• Grasp the role of AI in content creation.
• Set up and utilize 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 Sweden (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 Sweden (online or onsite) is aimed at 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:

• 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 represents a state-of-the-art large language model, delivering sophisticated AI capabilities including natural language comprehension, text creation, and multimodal processing. These features empower developers to construct intelligent, context-sensitive applications.

This instructor-led live training, available both online and on-site, is designed for developers with beginner to intermediate skill levels. The course focuses on the practical application of AI concepts using Google Gemini AI through hands-on projects, real-world examples, and collaborative exercises.

Upon completing this training, participants will be able to:

• Effectively configure and utilize Google Gemini AI alongside related tools.
• Construct AI-driven applications utilizing text and image inputs.
• Apply NotebookLM for practical AI workflows and document-based reasoning.
• Collaborate in small teams 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.

Course Customization Options

• For organizations seeking a tailored training experience for this course, please contact us to arrange a schedule.

This instructor-led live training in Sweden (online or onsite) is designed for 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.

Nano Banana serves as a streamlined large language model framework engineered for high efficiency and low cost, making it suitable for real-world applications across diverse devices and enterprise settings.

This live, instructor-led session—available either online or on-site—targets beginner-level professionals seeking to comprehend how lightweight LLMs can be deployed for practical, on-device, and cost-effective solutions.

Upon completing this course, attendees will be equipped to:

• Articulate the fundamental concepts underpinning lightweight LLMs and the Nano Banana architecture.
• Recognize suitable use cases for on-device and budget-conscious AI implementation.
• Assess Nano Banana's utility within business and IT contexts.
• Make well-informed choices regarding integration strategies within their organizations.

Course Format

• Instructor-led explanations enhanced through interactive discussion.
• Practical activities designed to solidify core concepts.
• Hands-on investigation of lightweight LLM features.

Customization Options

• To obtain a tailored version of this training program, please reach out to us for customization.

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

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

Upon completing this workshop, participants will be equipped to:

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

Course Format

• Guided lectures accompanied by live demonstrations.
• Scenario-based exercises emphasizing hands-on practice.
• Practical implementation within live development environments.

Customization Options

• Contact us to arrange tailored content or custom project-based training.

Nano Banana serves as a streamlined AI framework engineered for high-efficiency model execution directly on Android devices.

Delivered as an instructor-led live session (available either online or in-person), this course is tailored for Android developers ranging from beginners to intermediates looking to embed optimized AI features into their mobile applications.

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

• Embed the Nano Banana SDK into Android Studio projects.
• Deploy real-time AI inference through Nano Banana APIs.
• Tune model performance to suit resource-constrained mobile environments.
• Adopt best practices for secure and privacy-focused on-device AI operations.

Course Delivery Format

• Facilitated presentations paired with interactive group discussions.
• Applied coding tasks to solidify foundational concepts.
• Practical implementation work utilizing practical Android scenarios.

Customization Opportunities

• Interested in a specialized version of this curriculum? Contact us to design a customized program.

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

This live, instructor-led course—available online or in person—is tailored for beginners and intermediate professionals aiming to integrate privacy-preserving AI capabilities into mobile applications using Nano Banana, particularly within regulated or high-sensitivity contexts.

Upon completion, participants will be equipped to:

• Develop mobile applications capable of private, on-device data processing.
• Implement Nano Banana to establish compliant AI workflows.
• Leverage privacy-enhancing measures, including anonymization and secure data handling.
• Identify and mitigate privacy risks throughout the mobile AI development lifecycle.

Course Format

• Interactive instruction complemented by open discussions and Q&A sessions.
• Scenario-based practical exercises focused on privacy-centric mobile AI.
• Practical implementation within a professional development environment.

Customization Opportunities

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