About This Course
Textbook: English for Learning AI by Sung Nguyen, Ph.D. & Danh Nguyen, M.A. (2025)
English for AI Engineers is an applied language course that equips learners in artificial intelligence and machine learning fields with the English proficiency necessary to thrive in academic, professional, and international settings.
The course uses a bilingual, content-based approach, integrating core AI/ML concepts with practical English instruction. Through 20 themed lessons, learners gradually build their technical language skills alongside their understanding of key AI topics, including:
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Machine learning fundamentals (algorithms, models, loss functions)
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Supervised, unsupervised, and reinforcement learning
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Optimization techniques and neural networks
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Training and evaluating models
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Backpropagation, regularization, and overfitting
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CNNs, RNNs, LSTMs, GRUs, and TensorFlow
Each lesson contains multiple sections:
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Plain English introductions to core topics
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Technical deep dives
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Listening & reading activities using real lectures and expert videos
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Presentation & writing tasks on AI topics
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Vocabulary building, quizzes, and reinforcement exercises
The book’s unique format—story-based dialogues followed by expert explanations—helps learners go from everyday English to advanced academic discourse naturally. By the end of the course, students will be able to:
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Comprehend academic AI lectures, tutorials, and technical articles in English
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Explain AI principles and processes clearly and confidently in both written and spoken English
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Write reports, summaries, and structured technical texts
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Present and discuss AI topics in classroom or workplace settings
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Access international AI research, news, and technical documentation
This course is ideal for students in AI-related majors (Computer Science, Data Science, Robotics), software engineers transitioning into AI roles, and anyone preparing to study or work in English-speaking AI environments.
