Tool or Technology
TT0132

Mastering Google Veo

Advanced AI Video, Cinematic Storytelling & Production Workflows

Google Veo
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in generating professional AI video using Veo 3.1 through text, images, reference assets, first/last frames, and video-extension workflows.
  • Apply advanced cinematic prompting, camera direction, composition, lighting, motion, dialogue, sound effects, ambient audio, and storytelling techniques.
  • Build consistent multi-shot creative workflows using Ingredients to Video, Frames to Video, Scenebuilder, reference imagery, and Google Flow.
  • Integrate Veo into business applications and scalable content-production pipelines using Google AI Studio, Gemini API, and Vertex AI.
  • Establish responsible enterprise practices covering synthetic-media governance, reference-media rights, safety, provenance, brand consistency, quality assurance, and human approval.

Technology covered

Google Veo 3.1Veo 3.1 FastVeo 3.1 LiteGoogle FlowFlow AgentScenebuilderGeminiGoogle AI StudioGemini APIVertex AIGoogle VidsNano Banana for Reference FramesIngredients to VideoFrames to VideoVideo ExtensionNative AudioReference Images & SynthID

Who should attend

  • Video Producers & Video Editors
  • Filmmakers & Creative Directors
  • Advertising & Campaign Professionals
  • Marketing & Brand Professionals
  • Social Media & Content Teams
  • Product Marketing Professionals
  • Corporate Communications Professionals
  • Learning & Development Content Teams
  • Instructional Designers
  • E-Commerce Content Teams
  • Creative Operations Professionals
  • Creative Technologists
  • AI Application Developers
  • Digital Transformation Professionals
  • Enterprise Innovation Teams

Prerequisites & Participant Readiness

  • Basic understanding of Generative AI and prompt-based content creation
  • Familiarity with video, visual storytelling, marketing, design, or content production is beneficial
  • Basic understanding of camera shots, composition, lighting, and editing concepts is recommended
  • Familiarity with Gemini, Google Flow, or other AI-generation tools is helpful but not mandatory
  • No professional filmmaking background is required
  • Python, JavaScript, API, or JSON knowledge is beneficial for developer-focused modules
  • Some Veo models, resolutions, Flow tools, API capabilities, and enterprise features may depend on subscription, account, region, administrator settings, or preview availability
  • Completion of shorter Google Veo programmes is not required

TOC Modules

Concepts
  • Understanding Google's Veo video-generation ecosystem
  • Understanding Veo 3.1, Veo 3.1 Fast, and Veo 3.1 Lite
  • Understanding text-to-video, image-to-video, and reference-driven video generation
  • Understanding native audio-video generation
  • Understanding current Veo access through Gemini, Flow, AI Studio, Gemini API, and Vertex AI
Practical activities
  • Exploring representative Veo 3.1 generation workflows
  • Comparing standard, Fast, and Lite model use cases
  • Mapping Creative Brief → Model Selection → Generation → Review → Production

Scenarios

AI-Powered Brand Commercial Production

Campaign Brief → Nano Banana Reference Assets → Flow Project → Ingredients to Video → Veo 3.1 → Camera + Native Audio → Frames / Extensions → Scenebuilder → Brand Review → Campaign Variants

Participants build a professional multi-shot commercial using consistent character, product, visual, camera, and audio direction, then convert the master creative into landscape and vertical campaign assets.

Enterprise Video Generation Platform

Business Input → Application → Gemini API / Vertex AI → Veo Model Selection → Text / Image / Reference Generation → Asynchronous Processing → Automated Validation → Human Approval → Video Delivery

Participants architect a scalable video-generation workflow for applications such as marketing-content creation, product communication, training, or creative A/B testing while maintaining enterprise governance and human oversight.

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