Introduction to Nano Banana: Lightweight LLMs for Real-World Applications Training Course
Nano Banana is a streamlined large language model framework engineered for cost-effective, high-performance deployment across diverse devices and enterprise settings.
This live, instructor-led program, available online or on-site, is tailored for beginners seeking to grasp how lightweight LLMs can be leveraged for practical, on-device, and budget-conscious applications.
By the end of this course, participants will be equipped to:
- Articulate the fundamental principles of lightweight LLMs and the Nano Banana framework.
- Recognize optimal scenarios for on-device and low-cost AI implementation.
- Assess Nano Banana’s suitability for specific business and IT contexts.
- Make well-informed decisions regarding integration strategies within their organizations.
Course Structure
- Instructor-led explanations enhanced by interactive discussions.
- Practical exercises designed to solidify core concepts.
- Hands-on exploration of lightweight LLM functionalities.
Customization Options
- Contact us to discuss tailored versions of this training program.
Course Outline
Foundations of Lightweight LLMs
- Exploring compact model architectures
- The progression of resource-efficient AI
- The significance of lightweight models for enterprises
Exploring Nano Banana
- Core features and design philosophy
- Model strengths and constraints
- Distinguishing Nano Banana from conventional LLMs
Deployment Strategies and Use Cases
- On-device execution and its advantages
- Comparing local and cloud-based inference
- Choosing the optimal deployment approach
Industry-Specific Applications
- Streamlining internal automation and knowledge support
- Customer-centric use cases
- Operational and compliance-focused scenarios
Integration Essentials
- Assessing system prerequisites
- Considerations for workflows and processes
- Introduction to APIs and toolchains
Cost Efficiency and Optimization
- Leveraging compact models to lower inference costs
- Striking a balance between performance and resources
- Planning for scalable implementations
Governance, Privacy, and Risk Oversight
- Securing on-device operations
- Comprehending data boundaries and protective measures
- Adherence to enterprise policies and standards
Readiness for Organizational Rollout
- Developing internal competence and preparedness
- Evaluating business impact via pilot initiatives
- Establishing the foundation for wider deployment
Recap and Future Directions
Requirements
- A solid grasp of general IT concepts
- Basic experience with software tools
- Knowledge of data-driven business processes
Target Audience
- IT teams integrating AI capabilities
- Business professionals interested in practical AI solutions
- Technology leaders assessing on-device LLM strategies
Open Training Courses require 5+ participants.
Introduction to Nano Banana: Lightweight LLMs for Real-World Applications Training Course - Booking
Introduction to Nano Banana: Lightweight LLMs for Real-World Applications Training Course - Enquiry
Introduction to Nano Banana: Lightweight LLMs for Real-World Applications - Consultancy Enquiry
Testimonials (1)
Flow , vibe and topic on presentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
Upcoming Courses
Related Courses
Agentic Development with Gemini 3 and Google Antigravity
21 HoursGoogle Antigravity serves as a specialized agentic development environment, engineered to create autonomous agents that leverage Gemini 3's multimodal capabilities for planning, reasoning, coding, and execution.
This live, instructor-led training, available both online and onsite, is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 within the Antigravity framework.
By the end of this program, participants will be equipped to:
- Construct autonomous workflows leveraging Gemini 3 for reasoning, strategic planning, and task execution.
- Create agents in Antigravity capable of analyzing tasks, generating code, and interacting with external tools.
- Seamlessly integrate Gemini-driven agents with enterprise systems and APIs.
- Refine agent behavior, ensuring safety and reliability within complex operational environments.
Course Format
- Expert-led demonstrations paired with interactive discussions.
- Hands-on experimentation focused on autonomous agent development.
- Practical implementation exercises utilizing Antigravity, Gemini 3, and supporting cloud tools.
Customization Options
- Should your team require domain-specific agent behaviors or custom integrations, please reach out to tailor this program to your specific needs.
Building On-Device AI Apps with Nano Banana
14 HoursNano Banana is a specialized model engineered for rapid and highly efficient on-device AI execution.
This live, instructor-led training, available either online or on-site, is designed for intermediate-level professionals aiming to design and deploy AI-powered mobile applications using Nano Banana, all without dependence on cloud infrastructure.
By the end of this program, participants will be equipped to:
- Deploy Nano Banana models directly onto mobile devices.
- Enhance AI workloads to achieve optimal performance and energy efficiency.
- Embed text and image generation capabilities into mobile applications.
- Diagnose, benchmark, and fine-tune on-device inference pipelines.
Training Format
- Instructor-led demonstrations paired with interactive discussions.
- Practical tasks centered on real-world application scenarios.
- Live coding and testing sessions in a mobile development environment.
Customization Options
- If you require a bespoke version of this course, please reach out to discuss available customization paths.
Optimizing AI Models for Edge Deployment with Nano Banana
14 HoursNano Banana is a specialized lightweight AI framework engineered to streamline model compression and acceleration, enabling efficient execution on devices and at the edge.
This live, instructor-led program, available online or on-site, is tailored for intermediate to advanced professionals looking to master the optimization, compression, and deployment of AI models within edge environments using Nano Banana.
Upon completing this course, participants will be equipped to:
- Implement compression and quantization methods to optimize AI models.
- Enhance inference speed for edge computing devices.
- Leverage the Nano Banana toolchain to convert and deploy models.
- Assess the balance between model accuracy, latency, and resource consumption.
Course Delivery Method
- Interactive technical sessions led by an instructor with guided discussions.
- Practical exercises based on real-world edge-AI use cases.
- Hands-on implementation within a pre-configured live environment.
Customization Options
- For organization-specific adaptations or tailored content, please contact us to discuss a customized version of this course.
Deep-Think Mode Mastery: Advanced Reasoning with Gemini 3
14 HoursGemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, manage high-context tasks, and support extensive analytical workflows.
This live, instructor-led training, available both online and onsite, is tailored for advanced professionals seeking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.
Upon completing this course, participants will be prepared to:
- Utilize Deep-Think Mode to resolve intricate, multi-layered challenges.
- Create reasoning pipelines that leverage long-context analysis.
- Refine prompts for iterative, multi-step reasoning processes.
- Integrate Deep-Think capabilities into research or production environments.
Course Format
- Expert-led sessions featuring real-world examples.
- Hands-on reasoning labs and structured practice exercises.
- Applied development within live experimentation environments.
Course Customization Options
- Custom sessions or domain-specific deep-reasoning projects can be arranged upon request.
Gemini 3 for Enterprise: Reasoning, Planning & Multimodal Workflows
14 HoursGemini 3 is a sophisticated multimodal AI model engineered to process and reason across text, images, and structured data, enabling the support of complex enterprise workflows.
Delivered as an instructor-led live training session (available online or onsite), this program is tailored for intermediate-level professionals aiming to construct reasoning-driven and multimodal workflows using Gemini 3 within enterprise settings.
Upon successfully completing this course, participants will be equipped with the capability to:
- Leverage Gemini 3’s reasoning capabilities to enhance enterprise planning and decision-making workflows.
- Architect multimodal processes that seamlessly integrate text, images, documents, and tabular data.
- Develop robust business workflows utilizing AI Studio and Vertex AI toolsets.
- Refine outputs through advanced prompt engineering and iterative optimization techniques.
Course Delivery Format
- Expert-led guided demonstrations accompanied by detailed explanations.
- Practical exercises centered on workflow design and multimodal task execution.
- Hands-on experimentation within AI Studio or Vertex AI environments.
Customization Availability
- Should your organization require specific workflow scenarios or data integration examples, please reach out to us to customize the training accordingly.
Gemini 3 in Google Search & Knowledge Work: Using AI Mode for Productivity
14 HoursGemini 3 is an advanced AI-driven system designed to elevate Google Search experiences and enhance workplace efficiency via AI Mode.
This instructor-led live training, available online or onsite, is tailored for beginners looking to harness Gemini 3 to optimize research, strategic planning, data analysis, and routine knowledge tasks.
By the end of this session, participants will acquire the proficiency required to:
- Utilize Gemini 3 in AI Mode to fast-track research and discover relevant information.
- Leverage Gemini-assisted workflows to distill content and uncover key insights.
- Seamlessly integrate Gemini 3 capabilities into daily productivity routines.
- Implement best practices for the responsible and dependable use of AI tools.
Course Format
- Instructor-led presentations paired with live demonstrations.
- Structured practical exercises designed to build hands-on skills.
- Application of concepts through real-world search and productivity scenarios.
Customization Options
- To receive training tailored to your specific workflows, please reach out to discuss customization possibilities.
Introduction to Google Gemini AI
14 HoursThis instructor-led, live training in India (online or onsite) is designed for developers at the beginner to intermediate level who wish to integrate AI functionalities into their applications using Google Gemini AI.
Upon completing this training, participants will be able to:
- Grasp the fundamentals of large language models.
- Set up and utilize Google Gemini AI for various AI tasks.
- Implement text-to-text and image-to-text transformations.
- Develop basic AI-driven applications.
- Explore advanced features and customization options in Google Gemini AI.
Google Gemini AI for Content Creation
14 HoursThis instructor-led, live training in India (online or onsite) is aimed at intermediate-level content creators who wish to utilize 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 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.
Google Gemini AI for Transformative Customer Service
14 HoursThis instructor-led live training in India (online or onsite) is designed for intermediate-level customer service professionals aiming to implement Google Gemini AI within their support operations.
By the conclusion 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.
Google Gemini AI for Data Analysis
21 HoursThis instructor-led, live training in India (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.
Getting Started with Google Gemini AI
14 HoursGoogle Gemini AI represents a state-of-the-art large language model, delivering advanced artificial intelligence 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 both online and onsite, targets beginner to intermediate-level developers. The program focuses on the practical application of AI concepts via Google Gemini AI, utilizing hands-on projects, real-world scenarios, and collaborative exercises.
Upon completing this training, participants will be capable of:
- Effectively configuring and utilizing Google Gemini AI along with its associated tools.
- Creating AI-driven applications that process text and image inputs.
- Utilizing NotebookLM to streamline practical AI workflows and facilitate document-based reasoning.
- Working within small teams to design and deploy functional AI prototypes.
Course Format
- Interactive lectures paired with guided discussions.
- Practical lab sessions and team-based projects.
- Applied assignments involving Google Gemini AI and NotebookLM.
Customization Options
- For tailored training arrangements, please reach out to us.
Intermediate Gemini AI for Public Sector Professionals
16 HoursThis instructor-led live training in India (offered online or onsite) is targeted at intermediate-level public sector professionals who wish to utilize Gemini for generating high-quality content, aiding in research, and enhancing productivity through 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.
Multimodal Applications with Gemini 3: Vision, Audio, Video & Text
14 HoursGemini 3 is a sophisticated multimodal AI platform designed to process and reason across a wide spectrum of data types, including images, video, audio, and text.
This live, instructor-led training, available both online and onsite, is tailored for intermediate-level professionals eager to design and develop applications that leverage the cross-modal intelligence capabilities of Gemini 3.
By the end of this workshop, participants will be equipped to:
- Integrate Gemini 3 multimodal endpoints into practical, real-world workflows.
- Manage and interpret visual, audio, video, and text inputs within unified pipelines.
- Develop interactive prototypes utilizing advanced multimodal prompts.
- Refine multimodal outputs to enhance performance, precision, and user experience.
Course Format
- Interactive lectures accompanied by live demonstrations.
- Scenario-driven exercises and practical hands-on sessions.
- Real-time implementation using live development environments.
Customization Options
- For bespoke content or project-specific training requirements, please reach out to us to discuss custom arrangements.
Nano Banana for Android Developers: Lightweight AI Integration
14 HoursNano Banana is a lightweight AI framework engineered for the efficient execution of on-device models on the Android platform.
This instructor-led live training, available online or onsite, is tailored for beginner to intermediate-level Android developers aiming to embed optimized AI capabilities directly into their mobile applications.
By the end of this training, participants will be equipped to:
- Integrate the Nano Banana SDK into their Android Studio projects.
- Execute real-time AI inference leveraging Nano Banana APIs.
- Optimize model performance for resource-constrained mobile environments.
- Adopt best practices for secure, privacy-preserving on-device AI operations.
Course Format
- Guided presentations accompanied by collaborative discussions.
- Practical coding exercises designed to solidify core concepts.
- Hands-on implementation using real-world Android scenarios.
Course Customization Options
- Contact us to arrange a customized version of this course tailored to specific needs.
Privacy-Preserving AI on Mobile Devices with Nano Banana
14 HoursNano Banana is a robust on-device AI framework engineered to execute models locally, ensuring rigorous privacy standards and adherence to regulatory requirements.
This instructor-led live training, available either online or on-site, is tailored for professionals ranging from beginner to intermediate levels who aim to deploy privacy-preserving AI features on mobile platforms. It is particularly suitable for those working in regulated or sensitive sectors where data protection is paramount.
Upon completing this training, participants will possess the following capabilities:
- Develop mobile applications that securely process data entirely on the device.
- Integrate Nano Banana to establish fully compliant AI workflows.
- Implement privacy-enhancing techniques, including data anonymization and secure processing methods.
- Assess and effectively mitigate privacy risks throughout the mobile AI development lifecycle.
Course Delivery Format
- Structured guided instruction complemented by interactive discussions and Q&A sessions.
- Practical exercises focused on privacy-centric mobile AI use cases.
- Hands-on implementation exercises conducted within a realistic development environment.
Customization Options
- For specific organizational requirements or sector-specific compliance topics, please reach out to customize this program to your needs.