COURSE OVERVIEW
IT0037 : Machine Translation

OVERVIEW
COURSE TITLE | : | IT0037 : Machine Translation |
COURSE DATE | : | Jul 06 - Jul 10 2025 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Mr. Abdel Aziz Issa |
VENUE | : | Dubai, UAE |
COURSE FEE | : | $ 5500 |
Register For Course Outline |
Course Description
This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops.
This course is designed to provide participants with a detailed and up-to-date overview of Machine Translation. It covers the scope of machine translation (MT) and the differences between human and machine translation; the types of machine translation approaches and linguistic challenges in machine translation; the rule-based machine translation (RBMT), statistical machine translation (SMT), neural machine translation (NMT) and encoder-decoder architecture in NMT; the attention mechanism in NMT and transformer models in machine translation; and the pre-trained language models for translation.
Further, the course will also discuss the data collection and preprocessing for MT, training large-scale MT models and evaluating machine translation output; handling low-resource languages in MT and the bias and ethical issues in machine translation; the domain adaptation for machine translation, real-time and low-latency machine translation and multimodal machine translation (MMT); the speech-to-speech machine translation and federated and privacy-preserving MT models; and the Export MT Models for Deployment (ONNX, TensorFlow Lite) and run machine translation in a web application.
During this interactive course, participants will learn the API-based translation using google translate and deepL; the difference between cloud versus edge deployment for MT services; the AI-powered human-machine collaboration in translation and neural-symbolic hybrid approaches in MT; the AI’s role in preserving endangered languages and advancements in AI-powered speech translation; how AI helps human translators improve accuracy; and the automated post-editing for faster translation workflows and AI in game and website localization.
link to course overview PDF
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesPractical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
Certificates | : | Only soft copy certificates will be issued |
Training Materials | : | Only soft copy materials will be issued |
Training Methodology | : | 80% theory, 20% practical |
Training Program | : | 4 hours per day, from 09:30 to 13:30 |
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