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

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

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!!

Build and deploy a COVID-19 Question Answering system using Artificial Intelligence and NLP.

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What you will 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

Rating: 3.65

Level: All Levels

Duration: 5 hours

Instructor: Deeplearnai team