Introduction to Nano Banana: Lightweight LLMs for Real-World Applications Training Course

Google Antigravity serves as a dedicated agentic development platform, empowering the creation of autonomous agents that leverage Gemini 3's multimodal strengths to plan, reason, code, and execute actions.

This live, instructor-led training session, available either online or onsite, is tailored for advanced technical professionals seeking to design, construct, and deploy autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that harness Gemini 3 for complex reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing tasks, generating code, and engaging with external tools.
• Seamlessly integrate Gemini-powered agents into existing enterprise systems and API structures.
• Enhance agent performance, safety protocols, and reliability within complex operational environments.

Training Delivery Format

• Live expert demonstrations interspersed with interactive group discussions.
• Practical, hands-on sessions focused on experimenting with autonomous agent development.
• Real-world implementation exercises using Antigravity, Gemini 3, and complementary cloud-based tools.

Customization Options

• For teams requiring domain-specific agent behaviors or bespoke integrations, our team is available to tailor the curriculum to your specific needs.

Nano Banana is a specialized model designed to deliver rapid and efficient on-device AI performance.

This live, instructor-led training program, available online or on-site, is tailored for intermediate-level professionals seeking to build and deploy AI-driven mobile applications using Nano Banana, independent of cloud infrastructure.

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

• Deploy Nano Banana models directly within mobile device environments.
• Enhance AI workloads for superior performance and energy conservation.
• Incorporate text and image generation capabilities into mobile applications.
• Diagnose, benchmark, and fine-tune on-device inference pipelines.

Course Format

• Guided demonstrations paired with interactive discussions.
• Practical exercises centered on real-world application scenarios.
• Live hands-on development and testing within a mobile environment.

Customization Options

• Should you require a customized version of this course, please reach out to discuss specific tailoring options.

Nano Banana serves as a lightweight framework engineered to compress and accelerate models, ensuring efficient performance in on-device and edge computing settings.

This live, instructor-led program, available either online or onsite, is tailored for intermediate to advanced professionals seeking to refine, shrink, and deploy AI models within edge infrastructures using Nano Banana.

Upon completing this program, participants will be equipped to:

• Implement quantization and compression methods on AI models.
• Enhance inference speed specifically for edge hardware.
• Utilize Nano Banana’s toolset to convert and deploy models.
• Assess the balance between model accuracy, latency, and resource consumption.

Course Structure

• Guided technical sessions combined with facilitated discussions.
• Practical exercises focused on real-world edge-AI use cases.
• Implementation tasks conducted in a pre-configured live environment.

Tailoring the Course

• For specific organizational needs or customized content, please contact us to discuss a tailored version of this course.

Gemini 3 represents a sophisticated multimodal AI framework engineered to facilitate rigorous reasoning, complex high-context tasks, and extensive analytical workflows.

This instructor-led, live training session, available either online or onsite, targets senior professionals seeking to harness Deep-Think Mode for advanced analysis, modeling, and strategic planning.

Upon completing this module, participants will be empowered to:

• Utilize Deep-Think Mode to resolve intricate, multi-faceted challenges.
• Architect reasoning pipelines that leverage long-context analysis.
• Refine prompts for iterative, multi-stage reasoning processes.
• Embed Deep-Think capabilities into research initiatives or production environments.

Course Delivery Method

• Expert-guided presentations featuring practical case studies.
• Practical reasoning labs and structured practice activities.
• Applied development through live experimentation environments.

Customization Opportunities

• Tailored sessions or industry-specific deep-reasoning projects can be organized upon request.

Gemini 3 represents a next-generation multimodal AI model engineered to process and reason across text, images, and structured data, thereby enabling robust support for intricate enterprise operations.

This live, instructor-led training program, available both online and on-site, is specifically curated for mid-level professionals seeking to architect reasoning-centric and multimodal workflows using Gemini 3 within corporate settings.

Upon successful completion of this module, participants will possess the competencies to:

• Leverage Gemini 3's advanced reasoning functions to enhance enterprise planning and decision-making processes.
• Architect multimodal systems that seamlessly integrate text, visual assets, documents, and tabular datasets.
• Construct sophisticated business workflows utilizing the capabilities of AI Studio and Vertex AI.
• Refine model outputs through strategic prompt engineering and continuous iterative improvement methods.

Training Delivery Methodology

• Structured, guided demonstrations accompanied by detailed expert insights.
• Practical exercises designed to hone workflow architecture and multimodal task execution.
• Interactive experimentation within AI Studio or Vertex AI platforms.

Customization Availability

• For organizations requiring specific workflow simulations or tailored data integration case studies, please reach out to our team to customize the training experience.

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

Delivered by an expert instructor either online or in person, this live session is tailored for users at a beginner level who aim to harness the power of Gemini 3 to simplify research, strategic planning, data analysis, and routine knowledge management.

During the training, participants will develop the essential skills to:

• Leverage Gemini 3 in AI Mode to speed up research and information discovery.
• Utilize Gemini-supported workflows to condense content and derive meaningful insights.
• Incorporate Gemini 3 features into daily productivity routines.
• Implement best practices for the responsible and consistent use of AI tools.

Course Format

• Live presentations and demonstrations guided by the instructor.
• Hands-on exercises structured to build practical competencies.
• Practical application using live search and real-world productivity scenarios.

Customization Options

• To discuss how the training can be tailored to align with your specific workflows, please reach out to us.

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

By the conclusion of this training, participants will be capable of:

• Comprehending the basics of large language models.
• Setting up and leveraging Google Gemini AI for diverse AI tasks.
• Executing text-to-text and image-to-text transformations.
• Constructing basic AI-driven applications.
• Exploring advanced features and customization options in Google Gemini AI.

This live, instructor-led training in Kenya (available online or onsite) is designed for intermediate-level content creators who want to harness Google Gemini AI to improve their content quality and productivity.

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

• Grasp the significance of AI in the content creation landscape.
• Configure and utilize Google Gemini AI to generate and refine content.
• Execute text-to-text transformations to craft unique and innovative content.
• Deploy SEO strategies informed by AI-generated insights.
• Evaluate content performance and refine strategies using Gemini AI capabilities.

This instructor-led, live training in Kenya (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 Kenya (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 that delivers sophisticated AI functionalities, including natural language comprehension, text creation, and multimodal processing. These capabilities empower developers to create intelligent, context-sensitive applications.

This instructor-led live training, available online or on-site, targets beginner to intermediate developers eager to apply AI principles practically. The course utilizes hands-on projects, real-world scenarios, and collaborative exercises to facilitate learning with Google Gemini AI.

Upon completing this training, participants will be equipped to:

• Effectively configure and utilize Google Gemini AI alongside associated tools.
• Create AI-powered applications utilizing both text and image inputs.
• Utilize NotebookLM to streamline practical AI workflows and perform document-based reasoning.
• Work within small teams to design and deploy functional AI prototypes.

Course Format

• Engaging lectures combined with guided discussions.
• Practical lab exercises and team-based projects.
• Applied assignments involving Google Gemini AI and NotebookLM.

Customization Options

• For those seeking a tailored training experience for this course, please reach out to us to make arrangements.

This instructor-led, live training in Kenya (online or onsite) is designed for intermediate 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 serves as a comprehensive multimodal AI platform designed to process and reason across diverse data types, including images, video, audio, and text.

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

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

• Seamlessly integrate Gemini 3’s multimodal endpoints into practical, real-world workflows.
• Handle and interpret visual, audio, video, and textual inputs within unified processing pipelines.
• Develop interactive prototypes utilizing sophisticated multimodal prompting techniques.
• Enhance multimodal outputs to achieve optimal performance, accuracy, and user usability.

Course Structure

• Instructive lectures accompanied by live demonstrations.
• Scenario-driven exercises and hands-on practical sessions.
• Direct implementation using live development environments.

Customization Options

• Contact us to discuss arrangements for tailored content or project-based training solutions.

Nano Banana is a streamlined AI framework engineered to deliver high-efficiency on-device model execution within Android environments.

Delivered as a live, instructor-led session (either virtual or in-person), this program is tailored for Android developers ranging from entry-level to intermediate proficiency who seek to embed optimized AI functionalities directly into their mobile solutions.

Upon completing this program, participants will be equipped to:

• Integrate the Nano Banana SDK seamlessly into Android Studio projects.
• Execute real-time AI inference leveraging Nano Banana APIs.
• Enhance model performance within resource-constrained mobile ecosystems.
• Adopt industry best practices for secure, privacy-centric on-device AI operations.

Course Structure

• Facilitated presentations and interactive group discussions.
• Practical coding assignments designed to solidify core concepts.
• Direct implementation using practical, real-world Android scenarios.

Customization Opportunities

• Contact us to arrange a bespoke program tailored to your specific requirements.

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 session, available either online or in person, caters to junior to mid-level professionals seeking to deploy privacy-preserving AI capabilities on mobile platforms via Nano Banana, particularly within regulated or high-stakes sectors.

Upon completion, participants will be equipped to:

• Develop mobile applications that handle data privately directly on the device.
• Incorporate Nano Banana to establish compliant AI processes.
• Implement privacy-enhancing methods, including anonymization and secure computation.
• Assess and address privacy risks throughout the mobile AI development lifecycle.

Course Delivery Style

• Structured guidance complemented by interactive discussions and Q&A.
• Practical tasks centered on privacy-centric mobile AI use cases.
• Real-world implementation within an authentic development setup.

Tailoring Options

• For bespoke organizational requirements or sector-specific regulatory matters, reach out to us to tailor this program to your needs.