AI Development Vocabulary
This course is your complete guide to navigating the fast-moving world of AI in English. From understanding research papers to collaborating with international teams, you'll build the vocabulary and confidence to thrive in any AI-focused environment.
Dr. Sarah Chen
AI Research Lead · Former Google Brain
Free
Full access to all lessons & vocabulary
- 18 in-depth lessons
- 240 vocabulary terms
- 7 hours of content
- Mobile & desktop access
- Completion certificate
What You'll Learn
Core ML/DL vocabulary used in everyday engineering discussions
How to read and summarize arXiv research papers confidently
Terminology for model training, evaluation, and deployment
Prompt engineering language and best practices
How to present AI concepts to non-technical stakeholders in English
Common interview questions and how to answer them in English
Course Syllabus
10 lessonsCourse Overview & Learning Path
Neural Network Core Vocabulary
Training & Optimization Terms
Reading Your First arXiv Paper
LLM & Transformer Vocabulary
Prompt Engineering Language
MLOps Terminology
English for Code Reviews in AI
Presenting Models to Stakeholders
Mock Interview: AI Engineer Role
Sample Vocabulary Preview
Hallucination
When an AI model generates plausible-sounding but factually incorrect output.
Embedding
A dense vector capturing semantic meaning in a continuous mathematical space.
Fine-tuning
Further training a pre-trained model on specific data to adapt it for a task.
Context Window
The maximum tokens an LLM can process and attend to in a single pass.
About the Instructor
Dr. Sarah Chen
AI Research Lead · Former Google Brain
Sarah has 12+ years in ML research and has helped 3,000+ Korean engineers communicate their AI work effectively in English at top global companies.