Role-Based Programme
RB0692

Nano Banana for Marketing

Create, Edit & Scale AI-Powered Campaign Visuals

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability in using Nano Banana for professional marketing-image generation and editing.
  • Create campaign visuals, product imagery, social-media assets, advertisements, and branded marketing concepts from structured prompts.
  • Apply reference images, subject consistency, composition, typography, and iterative editing to improve creative quality.
  • Adapt approved visuals across audiences, markets, languages, channels, and campaign formats.
  • Build reusable Marketing Brief → Generate → Edit → Review → Adapt → Publish workflows with responsible AI practices.

Tools covered

Nano Banana 2 (Gemini 3.1 Flash Image)Nano Banana ProGemini Image Generation & EditingReference ImagesMulti-Turn Image EditingSubject ConsistencyText RenderingImage LocalizationAspect Ratio & Resolution ControlsSynthID

Who should attend

  • Marketing Managers
  • Digital Marketing Professionals
  • Content Marketing Professionals
  • Campaign Managers
  • Brand Marketing Professionals
  • Product Marketing Professionals
  • Social Media Managers
  • Growth Marketing Professionals
  • Performance Marketing Professionals
  • Creative Marketing Professionals
  • Marketing Communications Professionals
  • Marketing Operations Professionals
  • E-Commerce Marketing Professionals

Prerequisites & Participant Readiness

  • Basic understanding of marketing and campaign communication
  • Familiarity with digital, social-media, advertising, or content-marketing activities
  • Basic awareness of brand guidelines and target audiences
  • General familiarity with generative AI is helpful
  • No graphic-design or programming expertise required
  • No previous Nano Banana experience required

TOC Modules

Concepts
  • Understanding Nano Banana as Google's Gemini image-generation and editing family
  • Understanding Nano Banana 2 and when higher-fidelity Nano Banana Pro workflows may be useful
  • Identifying marketing use cases across campaigns, social media, advertising, product marketing, and brand communication
  • Understanding AI-generated concepts versus publication-ready marketing assets
Practical activities
  • Creating a first campaign visual from a simple marketing brief
  • Comparing alternative generations for the same marketing objective
  • Mapping Marketing Need → Visual Format → Nano Banana Workflow

Scenarios

Product Brief to Multi-Channel Campaign Creative

Product Brief → Approved Product Image → Nano Banana 2 → Lifestyle / Studio Concepts → Iterative Editing → Headline Visual → Social & Advertising Formats → Brand Review

Participants transform approved product information into a coordinated set of campaign visuals for digital advertising and social channels while maintaining product and brand consistency.

Master Campaign Visual to Localised Market Assets

Approved Master Creative → Reference Image → Market Adaptation → Text Translation → Visual Editing → Aspect-Ratio Variations → Regional Review → Published Assets

Participants adapt one approved campaign concept for different regions, languages, and channels while preserving the core visual identity.

## Current Capability Reference

As of September 2026, Google's recommended general-purpose model in the Nano Banana family is **Nano Banana 2 (Gemini 3.1 Flash Image)**. Google describes it as balancing speed with high-quality generation, advanced editing, world knowledge, reference-image handling, reliable text rendering, and output up to 4K.

Nano Banana 2 can maintain the resemblance of **up to five characters and fidelity of up to 14 objects within a workflow**, supports precise instruction following, and provides multiple aspect ratios and production-oriented resolutions, making it relevant to coordinated campaign and channel-variation work.

Google's current image-generation guidance recommends **multi-turn conversational editing** for iterative image refinement. Google also uses SynthID alongside broader provenance technologies to help identify AI-generated media.

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