Course Outline

Introduction to Enterprise Localization with LLMs

  • Understanding enterprise localization ecosystems
  • From NMT to LLM-driven translation
  • Challenges of quality, governance, and compliance

LLM Model Landscape for Localization

  • Comparison of Deepseek, Qwen, Mistral, and OpenAI models
  • Fine-tuning and adaptation for translation and post-editing
  • Model deployment and cost-performance considerations

Architecting LLM Localization Pipelines

  • System design patterns for LLM-based translation
  • Connecting APIs, databases, and content management systems
  • Pipeline orchestration using LangChain and Docker

Automated Quality Assurance for LLM Translations

  • Defining linguistic quality metrics (BLEU, COMET, MQM)
  • Building automated QA agents for translation validation
  • Post-editing feedback loops and continuous improvement

Governance and Compliance in Localization AI

  • Establishing human-in-the-loop governance
  • Tracking, audit logs, and change control
  • Ethical and data privacy standards in LLM systems

Evaluation and Monitoring Frameworks

  • Monitoring translation performance and drift
  • Real-time alerting and logging with open-source tools
  • Implementing review dashboards for QA oversight

Enterprise Integration and Workflow Automation

  • Integrating LLM translation pipelines with CMS and TMS systems
  • Workflow automation and job scheduling
  • Cross-departmental collaboration and version control

Scaling and Securing Localization Infrastructure

  • Scaling multi-model deployments in cloud and on-premises
  • Security, access management, and data encryption
  • Governance best practices for enterprise-wide LLM adoption

Summary and Next Steps

Requirements

  • An understanding of machine learning and natural language processing
  • Experience with Python or TypeScript for API integration
  • Familiarity with enterprise localization workflows and tools

Audience

  • AI and NLP Engineers
  • Localization Technology Managers
  • Software Architects and Engineering Leads
 21 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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