Nano Banana for Android Developers: Lightweight AI Integration Training Course

Google Antigravity serves as an agentic development platform purpose-built for constructing autonomous agents. Leveraging the multimodal capabilities of Gemini 3, these agents can independently plan, reason, code, and execute actions.

This live, instructor-led course (available online or onsite) is tailored for senior technical professionals eager to design, construct, and deploy autonomous agents utilizing Gemini 3 and the Antigravity ecosystem.

Upon completion, participants will be equipped to:

• Construct autonomous workflows that harness Gemini 3 for reasoning, strategic planning, and task execution.
• Develop agents within Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Integrate Gemini-powered agents with enterprise infrastructure and APIs.
• Optimize agent performance, safety protocols, and reliability within complex operational environments.

Course Delivery Format

• Live expert demonstrations paired with interactive knowledge-sharing sessions.
• Practical hands-on experimentation in autonomous agent development.
• Applied implementation using Antigravity, Gemini 3, and relevant cloud services.

Customization Options

• Should your organization require domain-specific agent behaviors or bespoke integrations, please reach out to us to customize the training program.

Nano Banana is a specialized model optimized for fast, efficient on-device AI execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and deploy AI-powered mobile applications using Nano Banana without relying on cloud infrastructure.

Upon completing this program, attendees should be able to:

• Implement Nano Banana models directly on mobile devices.
• Optimize AI workloads for performance and energy efficiency.
• Integrate text and image generation features into mobile apps.
• Troubleshoot, benchmark, and refine on-device inference pipelines.

Format of the Course

• Instructor-guided demonstrations and collaborative discussion.
• Practical exercises focused on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Course Customization Options

• If you require a tailored version of this course, please contact us to discuss customization options.

Nano Banana is a lightweight AI framework designed to accelerate and compress models for efficient on-device and edge deployment.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals seeking to optimise, compress, and deploy AI models for edge environments using Nano Banana.

Upon completion of the program, learners will be able to:

• Apply compression and quantisation techniques to AI models.
• Enhance inference performance for edge devices.
• Convert and deploy models using the Nano Banana toolchain.
• Evaluate trade-offs between accuracy, latency, and resource utilisation.

Course Format

• Instructor-led technical sessions and guided discussions.
• Hands-on exercises utilising real-world edge-AI scenarios.
• Practical implementation within a configured live environment.

Course Customisation Options

• For tailored content or organisation-specific adaptations, please contact us to arrange a customised version of this course.

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

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

Upon completing this course, participants will be able to:

• Utilize Deep-Think Mode to resolve intricate, multi-faceted problems.
• Create reasoning pipelines that feature long-context analysis.
• Refine prompts for iterative, multi-step reasoning tasks.
• Embed Deep-Think capabilities within research or production workflows.

Course Delivery Format

• Expert-led sessions featuring real-world examples.
• Practical reasoning labs and structured exercises.
• Applied development within live experimentation environments.

Course Customization Options

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

Gemini 3 is a sophisticated multimodal AI model engineered to process and reason across text, visual data, and structured inputs, enabling the execution of complex enterprise workflows with greater precision.

This live, instructor-led training, available both online and onsite, is tailored for intermediate-level professionals seeking to implement reasoning-driven and multimodal workflows using Gemini 3 within their enterprise environments.

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

• Leverage Gemini 3’s advanced reasoning capabilities to streamline enterprise planning and decision-making processes.
• Architect multimodal processes that effectively integrate text, images, documents, and tabular data.
• Construct robust business workflows utilizing AI Studio and Vertex AI toolsets.
• Enhance output quality through strategic prompt engineering and iterative refinement techniques.

Course Delivery Format

• 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 environments.

Customization Opportunities

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

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

Delivered as an instructor-led live session—available online or onsite—this course is tailored for entry-level users looking to harness Gemini 3 for more efficient research, strategic planning, data analysis, and routine knowledge-based tasks.

Over the course of this training, learners will acquire the essential competencies to:

• Leverage Gemini 3 within AI Mode to speed up research and information retrieval.
• Utilize Gemini-supported workflows to condense content and derive actionable insights.
• Seamlessly embed Gemini 3 capabilities into daily productivity routines.
• Adopt best practices for the responsible and dependable application of AI tools.

Course Delivery Format

• Facilitator-led presentations accompanied by live demonstrations.
• Structured practical exercises to reinforce skill acquisition.
• Application of concepts through real-world live search and productivity scenarios.

Customisation Options

• For training tailored to your specific operational workflows, please reach out to discuss customisation possibilities.

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

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

• Understand 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 South Africa (online or onsite) is targeted at intermediate-level content creators who wish to utilise Google Gemini AI to enhance their content quality and 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 optimise content.
• Apply text-to-text transformations to produce creative and original content.
• Implement SEO strategies using AI-driven insights.
• Analyse content performance and adapt strategies using Gemini AI.

This instructor-led, live training in South Africa (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 South Africa (online or on-site) 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:

• 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, providing sophisticated AI functionalities including natural language comprehension, text creation, and multimodal processing. This empowers developers to craft intelligent applications that are contextually aware.

This instructor-led training session, available online or in-person, targets developers from beginner to intermediate levels. The course focuses on the practical application of AI principles using Google Gemini AI through interactive projects, real-world scenarios, and collaborative work.

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

• Effectively configure and utilize Google Gemini AI alongside associated tools.
• Construct AI-powered applications leveraging both text and image data.
• Utilise NotebookLM for efficient AI workflows and reasoning based on documents.
• Work within small teams to design and implement functional AI prototypes.

Course Format

• Interactive lectures coupled with guided discussions.
• Practical laboratory exercises and collaborative projects.
• Applied assignments employing Google Gemini AI and NotebookLM.

Customisation Options

• Should you require a bespoke training session for this course, please get in touch to arrange one.

This instructor-led, live training in South Africa (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 is a streamlined large language model framework engineered for efficient, cost-effective, and real-world utility across diverse devices and enterprise settings.

Delivered as an instructor-led live training session (either online or onsite), this course is tailored for entry-level professionals seeking to grasp how lightweight LLMs can be implemented for practical, on-device, and budget-conscious applications.

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

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

Course Delivery Format

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

Customization Options

• To receive a tailored version of this training, please reach out to us to customize the program to your needs.

Gemini 3 stands as a versatile 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 both online and on-site, is specifically tailored for intermediate-level practitioners eager to design and develop applications that harness the cross-modal intelligence of Gemini 3.

By the conclusion of this workshop, participants will be equipped with the skills to:

• Integrate Gemini 3’s multimodal endpoints into practical, real-world workflows.
• Process and interpret visual, audio, video, and text inputs within unified pipelines.
• Develop interactive prototypes leveraging multimodal prompts.
• Optimize multimodal outputs to enhance performance, accuracy, and usability.

Course Delivery Format

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

Customization Options

• For bespoke content or custom project-based training, please get in touch to make arrangements.

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

This instructor-led, live training—available either online or onsite—is tailored for professionals ranging from beginner to intermediate levels who aim to implement privacy-preserving AI capabilities on mobile devices. It is particularly suited for regulated or sensitive operational contexts.

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

• Develop mobile applications that process data privately directly on the device.
• Integrate Nano Banana to facilitate AI workflows that meet compliance standards.
• Utilize privacy-enhancing methods, including anonymization and secure processing techniques.
• Assess and address potential privacy risks throughout the mobile AI development lifecycle.

Course Delivery Format

• Facilitated instruction incorporating interactive discussions and Q&A sessions.
• Practical exercises focused on privacy-centric mobile AI use cases.
• Hands-on implementation within an authentic development environment.

Customization Options

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