Deep Learning NLP: Build and Deploy a BERT COVID Q&A System

Rating 3.5 out of 5 (13 ratings in Udemy)

What you'll learn

Develop a BERT Q&A system that provides real-time answers from over 200,000 COVID research papers
Accessing and pre-processing the COVID dataset
Perform Exploratory data analysis and Topic modelling on the COVID dataset
Create an indexed database of COVID research text in Elasticsearch
Build an algorithm that retrieves and ranks candidate documents from Elasticsearch
Develop the BERT Q&A Engine
Build End point creation with …

Rating 3.5 out of 5 (13 ratings in Udemy)

What you'll learn

Develop a BERT Q&A system that provides real-time answers from over 200,000 COVID research papers
Accessing and pre-processing the COVID dataset
Perform Exploratory data analysis and Topic modelling on the COVID dataset
Create an indexed database of COVID research text in Elasticsearch
Build an algorithm that retrieves and ranks candidate documents from Elasticsearch
Develop the BERT Q&A Engine
Build End point creation with fast API
Building a simple UI with Streamlit
Dockerize and deploy models
Working with google colab and Visual studio code

Description

If you are interested to learn about NLP and looking to work on one of the biggest real world NLP projects, then this course is for you.

This course has been designed by professional data scientists and our sole passion is to enable our students to develop and deploy state of the art Deep Learning NLP models.

Our students will learn new skills at every step and section of our course and will be able to develop and deploy an NLP Q&A system that can retrieve answers from a database consisting of over 250,000 COVID research papers.

In this course, we code everything and hence the program is very much project based. The entire program is comprehensive in a way that you can easily extend the algorithms, tools to deploy a NLP Question Answering system on another topic of interest.

We have worked hard to organize the structure of this course in a way that you could apply it to any NLP project in your work or studies. It is structured in the following way:

· Section 1: All instruments you need to complete the course

· Section 2: Accessing and saving COVID dataset

· Section 3: Data pre-processing

· Section 4: Exploratory data analysis

· Section 5: Creating Knowledge base in Elasticsearch

· Section 6: Create BERT QA Engine

· Section 7 : Frontend with streamlit

· Section 8 : Dockerizing and deploying

All the sections include bonus/resource materials to deep dive into the concepts. You can evaluate your understanding by participating in funny yet exciting quizzes.

Waiting to welcome you to be part of this journey!!

Duration 5 Hours 58 Minutes

Paid

Self paced

All Levels

English (US)

Rating 3.5 out of 5 (13 ratings in Udemy)

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