Video localization was too costly to scale. AI now clones voices and lip-syncs lectures, preserving tone without manual reshoots.
A global online learning platform serving over 100 million learners with 7,000 courses through partnerships with more than 300 institutions.
Expanding globally required localized content, but traditional video translation was too expensive and complex to execute at scale. Text-only...
“Coursera is on a mission to deliver learning experiences globally at scale. And to do that effectively, we have to remove language barriers, personalize learning, and preserve the quality and intent of the original instruction. That’s where generative AI, and specifically HeyGen, has been transformational.”
Coursera's Video localization is part of this use case:
Online learning platform for university degrees, certifications, and courses.
AI video generation platform for business messaging, marketing, and localization.
Related implementations across industries and use cases
Filming 60-hour courses took three months. By driving digital twins with scripts, the founder now generates them in two weeks.
Filming and editing took months. Teams now bypass the camera, using AI avatars to generate and localize content in hours.
Text chat lacked connection. AI now captures the empathy and tone of celebrity instructors for real-time, conversational coaching.
Filming took days of retakes. She replaced cameras with AI avatars, generating multilingual courses directly from text scripts.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
New competency reviews tripled evaluation questions. Now, employees use AI to synthesize past 1:1 notes and draft high-quality feedback.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Video localization was too costly to scale. AI now clones voices and lip-syncs lectures, preserving tone without manual reshoots.
A global online learning platform serving over 100 million learners with 7,000 courses through partnerships with more than 300 institutions.
Expanding globally required localized content, but traditional video translation was too expensive and complex to execute at scale. Text-only...
“Coursera is on a mission to deliver learning experiences globally at scale. And to do that effectively, we have to remove language barriers, personalize learning, and preserve the quality and intent of the original instruction. That’s where generative AI, and specifically HeyGen, has been transformational.”
Coursera's Video localization is part of this use case:
Online learning platform for university degrees, certifications, and courses.
AI video generation platform for business messaging, marketing, and localization.
Related implementations across industries and use cases
Filming 60-hour courses took three months. By driving digital twins with scripts, the founder now generates them in two weeks.
Filming and editing took months. Teams now bypass the camera, using AI avatars to generate and localize content in hours.
Text chat lacked connection. AI now captures the empathy and tone of celebrity instructors for real-time, conversational coaching.
Filming took days of retakes. She replaced cameras with AI avatars, generating multilingual courses directly from text scripts.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
New competency reviews tripled evaluation questions. Now, employees use AI to synthesize past 1:1 notes and draft high-quality feedback.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.