Question Generation using Natural Language processing

Auto generate assessments in edtech like MCQs, True/False, Fill-in-the-blanks etc using state-of-the-art NLP techniques
4.20 (240 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Question Generation using Natural Language processing
926
students
5.5 hours
content
Mar 2022
last update
$22.99
regular price

What you will learn

Generate assessments like MCQs, True/False questions etc from any content using state-of-the-art natural language processing techniques.

Apply recent advancements like BERT, OpenAI GPT-2, and T5 transformers to solve real-world problems in edtech.

Use NLP libraries like Spacy, NLTK, AllenNLP, HuggingFace transformers, etc.

Deploy transformer models like T5 to production in a Serverless fashion by ONNX quantization and by dockerizing them using FastAPI.

Use Google Colab environment to run all these algorithms.

Screenshots

Question Generation using Natural Language processing - Screenshot_01Question Generation using Natural Language processing - Screenshot_02Question Generation using Natural Language processing - Screenshot_03Question Generation using Natural Language processing - Screenshot_04
3713412
udemy ID
12/18/2020
course created date
2/18/2021
course indexed date
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