Role-Based Programme
RB0751

Synthesia for Marketing

Create, Localize & Scale AI-Powered Marketing Videos

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in creating professional marketing videos with Synthesia for campaigns, products, social channels, and customer communication.
  • Transform campaign briefs, product pages, presentations, documents, and scripts into structured video content.
  • Apply AI avatars, voices, screen recordings, visual assets, and brand standards to scalable marketing-video production.
  • Localize marketing videos across languages and markets while maintaining message and visual consistency.
  • Use collaboration and engagement analytics to review, improve, update, and govern AI-generated marketing content.

Tools covered

Synthesia AI Video AssistantAI AvatarsPersonal AvatarsAI VoicesAI Voice CloningAI Screen RecorderAI PlaygroundBrand KitsTemplatesVideo TranslatorAI DubbingMultilingual Video PlayerLive CollaborationVideo AnalyticsSmart Updates

Who should attend

  • Marketing Managers
  • Digital Marketing Professionals
  • Content Marketing Professionals
  • Campaign Managers
  • Product Marketing Managers
  • Brand Managers
  • Growth Marketing Professionals
  • Demand Generation Professionals
  • Social Media Professionals
  • Marketing Communications Professionals
  • Creative & Content Professionals
  • Marketing Operations Professionals

Prerequisites & Participant Readiness

  • Basic understanding of marketing, campaigns, branding, and digital content
  • Familiarity with marketing briefs, scripts, presentations, or product messaging
  • Basic knowledge of digital marketing channels and target audiences
  • Access to approved brand assets is helpful
  • No professional video-editing experience required
  • No previous Synthesia experience required

TOC Modules

Concepts
  • Understanding AI-video creation and its role in modern marketing workflows
  • Exploring avatars, voices, scenes, templates, media, and video-generation concepts
  • Identifying marketing use cases appropriate for AI-generated video
  • Understanding the workflow from marketing brief to published video
Practical activities
  • Exploring the Synthesia workspace and editor
  • Creating a first marketing video from a short script
  • Editing scenes, layouts, visuals, and narration
  • Previewing and reviewing the finished output

Scenarios

Product Launch Campaign Video

Product Brief → AI Video Assistant → Script & Storyboard → AI Avatar → Product Screen Recording → Branded Visuals → Marketing Review → Published Campaign Video

Participants transform a product-launch brief into a polished marketing video combining an AI presenter, product demonstration, approved messaging, brand assets, and a clear customer CTA.

Global Campaign Localization

Approved Master Video → Video Translation / AI Dubbing → Regional Language Versions → Local Marketing Review → Multilingual Distribution → Analytics Review

Participants take an approved campaign asset and create localized versions for multiple markets while preserving branding, core messaging, and human review of translated marketing claims.

## Current Capability Reference

Synthesia currently positions its marketing platform for creating **campaign videos, product explainers, social content, and localized marketing assets**. Its AI Video Assistant can turn product pages, campaign briefs, documents, slides, and other source materials into editable video drafts.

Current Synthesia capabilities include **AI avatars, AI voices, personal avatars, AI Screen Recorder, AI Playground, Brand Kits, templates, live collaboration, analytics, and smart video updates**. Brand Kits can standardize logos, colors, fonts, and preferred avatars across videos.

Synthesia currently supports video translation into **160+ languages**, while AI Dubbing can localize existing video content into **140+ languages**. Marketing teams can also use analytics such as views, watch time, engagement, clicks, and drop-off to evaluate video performance.

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