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CloudX Modernized Skills-Based Education on AWS

The Customer and Its Challenges

A global skills training provider, headquartered in Europe, delivers simulation-based educational solutions to organizations and learners worldwide. The company’s mission is to transform education models by combining interactive video, intelligent media processing, and AR-driven experiences that prepare learners for Industry 4.0. With rapid global adoption of its platform, the provider required a robust cloud infrastructure capable of handling video-heavy workloads, multilingual localization, and distributed operations across multiple regions.

The provider’s legacy cloud environment was increasingly unable to keep pace with global demand. Specific challenges included:

  • High latency and poor caching performance across regions, impacting live and on-demand training experiences.
  • Limited multilingual content support, with manual processes for transcription, translation, and subtitle creation slowing content delivery.
  • Inadequate integration of AI and automation, requiring custom development and heavy operational overhead.
  • Gaps in security and compliance monitoring, especially for sensitive training content.
  • Inefficient collaboration tools, making it difficult for global content reviewers and staff to work securely across time zones.

The Solutions

CloudX partnered with the customer to design and implement a cloud-native video and learning platform on AWS:

  • Migrated 12+ TB of video, audio, and subtitle data into Amazon S3 with lifecycle management for tiered storage.
  • Deployed Amazon CloudFront and Route 53 for global CDN acceleration, achieving consistent low-latency content delivery.
  • Automated transcription, translation, and subtitle workflows using Amazon Transcribe, Amazon Translate, Lambda, and EC2 Auto Scaling clusters.
  • Implemented Amazon SageMaker to host custom AI models for subtitle correction, semantic recognition, and intelligent content tagging.
  • Delivered secure, scalable remote work environments with Amazon WorkSpaces for 100+ global content reviewers.
  • Built a multi-account Landing Zone with IAM, AWS Config, CloudTrail, and CloudWatch for compliance, observability, and governance.
  • Applied CI/CD pipelines with CodePipeline and CloudFormation for automated deployments and operational resilience.

The Outcomes

The migration to AWS delivered immediate improvements in performance, scalability, and cost efficiency. Page load times were reduced by 45%, CDN cache hit ratios improved to 89%, and video start times dropped below 1.2 seconds, dramatically enhancing user experience worldwide. Automated subtitle and translation workflows reduced turnaround times from days to under six hours, significantly accelerating the localization of training content.

Operational efficiency also improved, with Amazon WorkSpaces enabling staff to provision secure remote desktops in less than 10 minutes instead of hours, supporting real-time global collaboration. By leveraging S3 lifecycle management and EC2 Auto Scaling, the provider cut infrastructure costs by ~30% annually while increasing resource utilization. With a modern, secure, and AI-enabled AWS foundation, the customer is now positioned to scale globally and continue innovating in skills-based training and Industry 4.0 education.