Building On-Device AI Apps with Nano Banana Training Course

Google Antigravity serves as a specialized agentic development environment, enabling the creation of autonomous agents that leverage the multimodal power of Gemini 3 to plan, reason, code, and execute actions.

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

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

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

Course Format

• Comprehensive expert demonstrations paired with interactive discussions.
• Practical, hands-on experimentation in autonomous agent development.
• Real-world implementation utilizing Antigravity, Gemini 3, and complementary cloud tools.

Customization Options

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

Nano Banana serves as a lightweight AI framework engineered to enhance the speed and reduce the size of models, facilitating efficient deployment on edge devices and at the edge.

This live, instructor-led training session, available either online or onsite, is tailored for professionals at the intermediate to advanced level who aim to refine, compress, and deploy AI models within edge environments leveraging Nano Banana.

Upon completing this program, participants will be equipped to:

• Implement compression and quantization methods on AI models.
• Enhance inference speeds specifically for edge hardware.
• Utilize the Nano Banana toolchain to transform and deploy models.
• Analyze the balance between model accuracy, latency, and resource consumption.

Course Structure

• Interactive technical sessions led by an instructor, coupled with guided discussions.
• Practical exercises centered on real-world edge-AI applications.
• Implementation of solutions within a pre-configured live environment.

Customization Possibilities

• To obtain tailored content or adaptations specific to your organization, please contact us to discuss a customized version of this course.

Gemini 3 represents a sophisticated multimodal AI framework engineered to facilitate deep reasoning, handle high-context demands, and support extensive analytical processes.

This live, instructor-guided training, available either online or on-site, is tailored for seasoned professionals seeking to utilize Deep-Think Mode for intricate analysis, complex modeling, and strategic planning initiatives.

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

• Leverage Deep-Think Mode to address complex, multi-dimensional challenges.
• Architect reasoning pipelines that embed long-context analytical capabilities.
• Refine prompting strategies for iterative, multi-stage reasoning operations.
• Incorporate Deep-Think functionalities into both research and production environments.

Course Delivery Methodology

• Specialist-led presentations featuring practical, real-world case studies.
• Practical reasoning laboratories and structured skill-building exercises.
• Applied development tasks within live experimentation sandboxes.

Customization Opportunities

• Tailored sessions or domain-specific deep-reasoning projects can be organized to meet specific organizational needs.

Gemini 3 is a sophisticated multimodal AI model engineered to process text, images, and structured data, facilitating complex operational tasks within enterprise settings.

Targeted at intermediate-level professionals, this live, instructor-led training (available online or onsite) focuses on constructing reasoning-oriented and multimodal workflows leveraging Gemini 3 in corporate environments.

Upon completion, participants will be equipped to:

• Leverage Gemini 3’s advanced reasoning features to streamline enterprise planning and decision-making processes.
• Architect multimodal solutions that integrate text, visual assets, documentation, and tabular datasets.
• Construct business-oriented workflows utilizing AI Studio and Vertex AI platforms.
• Refine and optimize model outputs through strategic prompt engineering and iterative improvement techniques.

Training Delivery Approach

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

Customization Opportunities

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

Gemini 3 is an AI-driven framework designed to elevate Google Search capabilities and boost professional efficiency via AI Mode.

Delivered as a live, instructor-led session either online or in-person, this course is tailored for beginners seeking to harness the power of Gemini 3 to optimize research, strategic planning, data analysis, and routine knowledge-based tasks.

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

• Leverage Gemini 3 in AI Mode to speed up research and information retrieval.
• Utilize Gemini-assisted processes to distill content and uncover key insights.
• Embed Gemini 3 functionalities into daily operational tasks for enhanced productivity.
• Implement best practices for the responsible and dependable use of artificial intelligence tools.

Course Structure

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

Customization Possibilities

• Interested in training customized to your specific workflows? Contact us to explore tailored solutions.

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

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

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

This instructor-led, live training in Botswana (online or onsite) targets intermediate-level content creators seeking to harness Google Gemini AI to boost content quality and operational efficiency.

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

• Understand the role of AI in content creation.
• Set up and use 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 Botswana (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 Botswana (online or onsite) is aimed at beginner-level to intermediate-level 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 generation, and multimodal processing. This empowers developers to create intelligent, context-aware applications.

This instructor-led training session, available online or on-site, is designed for beginner to intermediate developers eager to apply AI concepts practically using Google Gemini AI. The course emphasises hands-on projects, real-world examples, and collaborative exercises.

Upon completing this training, participants will be equipped to:

• Configure and utilise Google Gemini AI and associated tools efficiently.
• Construct AI-driven applications utilising text and image inputs.
• Utilise NotebookLM for practical AI workflows and document-based reasoning.
• Work within small teams to design and deploy functional AI prototypes.

Course Delivery Format

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

Customisation Options

• For tailored training requirements, please contact us to arrange details.

This instructor-led, live training in Botswana (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.

Nano Banana serves as a streamlined framework for large language models, engineered to deliver efficient, budget-friendly performance across various devices and corporate settings.

Designed for entry-level professionals, this live, instructor-led course (available online or in-person) focuses on mastering the deployment of lightweight LLMs for practical, on-device, and cost-effective applications.

Upon completion, learners will be equipped to:

• Describe the fundamental principles underlying lightweight LLMs and the Nano Banana framework.
• Recognize suitable applications for on-device and low-cost AI implementation.
• Assess the potential of Nano Banana within specific business and IT contexts.
• Make strategic decisions regarding integration methods suitable for their organization.

Course Structure

• Instructor-led discussions enhanced by interactive engagement.
• Exercises designed to solidify core concepts.
• Practical exploration of the capabilities offered by lightweight LLMs.

Customization Options

• Reach out to us to discuss tailoring this training program to your specific needs.

Gemini 3 is a sophisticated multimodal AI platform engineered to process and reason across a variety of media types, including images, video, audio, and text.

This live, instructor-led training—available online or on-site—is designed for intermediate-level professionals seeking to leverage Gemini 3’s cross-modal intelligence to design and develop advanced applications.

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

• Seamlessly integrate Gemini 3 multimodal endpoints into practical, real-world workflows.
• Manage and interpret visual, auditory, video, and textual data within unified processing pipelines.
• Develop interactive prototypes leveraging complex multimodal prompting techniques.
• Refine multimodal outputs to enhance performance, precision, and user experience.

Course Delivery Format

• Instructor-led sessions featuring live demonstrations.
• Hands-on exercises focused on practical, scenario-based problems.
• Real-world implementation using active development environments.

Customization Options

• We can tailor the curriculum or arrange custom project-based training to meet specific organizational needs; please reach out to discuss these options.

Nano Banana serves as a streamlined AI framework engineered for high-efficiency, on-device model execution within the Android ecosystem.

This instructor-led live training, available either online or onsite, is specifically tailored for Android developers at the beginner to intermediate level who aim to embed optimized AI capabilities directly into their mobile applications.

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

• Seamlessly integrate the Nano Banana SDK into Android Studio projects.
• Deploy real-time AI inference leveraging Nano Banana APIs.
• Tune model performance for the constraints of mobile environments.
• Adopt best practices for ensuring secure and privacy-centric on-device AI.

Training Format

• Interactive presentations and collaborative group discussions.
• Practical coding exercises designed to solidify key concepts.
• Real-world Android implementation tasks for hands-on experience.

Customization Possibilities

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

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

This live, instructor-led training—available either online or onsite—is tailored for professionals at beginner to intermediate levels who seek to deploy privacy-preserving AI capabilities on mobile devices using Nano Banana within regulated or sensitive operational contexts.

Upon completing this program, participants will be equipped to:

• Develop mobile applications capable of processing data privately directly on the device.
• Incorporate Nano Banana to facilitate compliant AI workflows.
• Utilize privacy-enhancing methods, including anonymization and secure processing.
• Assess and address privacy risks throughout the mobile AI development lifecycle.

Course Structure

• Facilitated learning reinforced through interactive discussion and Q&A sessions.
• Practical exercises focused on privacy-centric mobile AI use cases.
• Hands-on implementation activities within a realistic development environment.

Customization Options

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