(Udemy) Deep Learning NLP: Build and Deploy a BERT COVID Q&A System (Deeplearnai Team)
About Course
Unlock the power of Deep Learning for Natural Language Processing (NLP) with this free Udemy course! Learn to build and deploy a real-world BERT COVID Q&A system from industry experts.
This comprehensive course covers all the essential steps, from accessing and preprocessing data to creating a knowledge base and deploying a BERT-powered question-answering engine. You’ll learn practical skills by working on a project involving over 250,000 COVID research papers.
Dive into:
- Data Access & Preprocessing
- Exploratory Data Analysis
- Building a Knowledge Base with Elasticsearch
- Creating a BERT QA Engine
- Frontend Development with Streamlit
- Dockerization and Deployment
This course is designed to provide a strong foundation for NLP projects and can be applied to various topics beyond COVID.
Enroll now for free! This course is offered by Deeplearnai Team on Udemy. Start your journey to becoming an NLP expert today.
Course Content
Welcome to the Course
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A Message from the Professor
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Meet your Instructors
00:58 -
Applications of Deep Learning NLP Q&A Systems
04:35 -
COVID Q&A system Overview
04:42 -
COVID Q&A – Architecture Design Walkthrough
04:10 -
Presentation of the COVID QA Course Folder
01:27 -
02:55
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BONUS Google Collaboratory Notebook Introduction
08:13 -
BONUS Installing Visual Studio Code
06:31 -
BONUS Working with Virtual Environments
06:56
Accessing and Saving Covid Dataset (Optional)
Data Pre-Processing (Optional)
Exploratory Data Analysis
Elasticsearch Document Store
Question Answering Engine
Streamlit User Interface Design
Deployment
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