Tool or Technology
TT0112

Mastering Nano Banana

Advanced AI Image Generation, Editing & Visual Production Workflows

Nano Banana
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in generating, editing, refining, and transforming professional visual content using the current Nano Banana image-model family.
  • Select appropriate Nano Banana models based on quality, speed, instruction complexity, consistency, world knowledge, and production requirements.
  • Apply advanced prompting, multi-image references, conversational editing, text rendering, localisation, visual consistency, and multimodal workflows to business-ready creative production.
  • Integrate Nano Banana models into applications and automated visual workflows through Google AI Studio and the Gemini API.
  • Establish responsible enterprise practices covering image accuracy, copyright, privacy, brand consistency, provenance, human review, and scalable AI-generated content production.

Technology covered

Nano Banana 2 LiteNano Banana 2Nano Banana ProGemini AppsGoogle AI StudioGemini APIMultimodal Image InputsConversational Image EditingLocal EditingMulti-Reference GenerationGoogle Search GroundingSynthID & Image Generation APIs

Who should attend

  • Graphic & Visual Designers
  • Creative Directors & Art Directors
  • Marketing & Brand Professionals
  • Advertising & Campaign Professionals
  • Content Marketing Teams
  • Social Media Professionals
  • Product Marketing Professionals
  • Corporate Communications Professionals
  • UI/UX & Product Designers
  • Learning & Development Content Teams
  • Pre-Sales & Proposal Teams
  • E-Commerce & Product Content Teams
  • Creative Technologists
  • AI Application Developers
  • Enterprise Content Production Teams

Prerequisites & Participant Readiness

  • Basic familiarity with Generative AI concepts is recommended
  • Understanding of visual communication, marketing, design, photography, or content creation is beneficial
  • Familiarity with Gemini or another multimodal AI assistant is helpful
  • Basic understanding of composition, typography, branding, and visual hierarchy is useful
  • No programming expertise is required for the core creative modules
  • Python, JavaScript, API, and JSON knowledge is beneficial for integration modules
  • Access to individual Nano Banana models may depend on Gemini plan, API availability, organisational account, region, and administrator configuration
  • Completion of shorter Nano Banana programmes is not required

TOC Modules

Concepts
  • Understanding Nano Banana as Gemini's native image-generation family
  • Understanding Nano Banana 2 Lite, Nano Banana 2, and Nano Banana Pro
  • Understanding the role of the original Nano Banana model in the model family's evolution
  • Understanding multimodal generation using text and image inputs
  • Differentiating image generation, editing, transformation, and visual reasoning
Practical activities
  • Exploring Nano Banana capabilities through Gemini and Google AI Studio
  • Generating visuals across multiple professional use cases
  • Comparing outputs from different Nano Banana models
  • Identifying suitable models for different enterprise creative requirements

Scenarios

Global Product Campaign Production

Campaign Brief → Brand Rules → Product References → Nano Banana 2 / Pro → Hero Visual → Multi-Reference Variants → Local Editing → Multilingual Creative → Brand Review → Channel-Ready Assets

Participants build a complete campaign workflow that transforms approved product and brand information into consistent visual assets for advertising, social, presentations, web, and regional markets.

AI-Powered Enterprise Visual Content Engine

Business Data → Application / Workflow → Model Selection → Gemini API → Nano Banana Generation / Editing → Automated Validation → Human Approval → Business Application

Participants design a reusable visual-generation system that creates or edits images dynamically from business inputs while applying suitable model selection, reference imagery, validation, provenance, and human-review controls.

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