NLP Fellowship Program

“Most analysts appear to agree that the next big thing in IT is going to involve semantic search. Because it will allow non-subject matter experts to obtain answers to their questions using only natural language to pose their queries. ”

- Stephen F. DeAngelis

Natural Language Processing is the design and analysis of computational algorithms and representations for processing natural human language. This technology is one of the most broadly applied areas of machine learning. The demand for experts in developing models that evaluate voice and language, unearth contextual patterns and generate insights from text and audio continues to expand as long as AI continues to expand.

Apply now
Program image

Starts

October 30, 2022

Duration

6 week

Time Investment

20 Hrs/week

Format

Live, Online

Fee

$0 (*small processing fee upon selection)
₹0 (*small processing fee upon selection)

Registration closes

October 26, 2022

What do you get being a part of the Fellowship?

Mentored preparation for top global careers
Image of a handshake
5 times every week for 6 weeks of fun & high engagement with peers from reputed institutions & organizations
Participation in Univ.AI's global placement system for employment opportunities worldwide
Interactions with top faculty and professionals during guest sessions

Meet the teaching team

Course Outcome

Who should apply

This program is ideal for students interested in the fields of Natural language Processing and has a good understanding of the basics of AI, ML, and Convolutional Neural Networks.

The objective of this module is to provide a fundamental understanding of the latest language models built using deep learning architectures. You will start with the traditional language models, learn about word embeddings, attention, and then move on to transformer models. At the end of this module, you will be able to build efficient language models and tell how well they are performing.

Prerequisites

Programming Experience:

  • Experience with Python: functions, variable scope, classes, modules, NumPy, SciPy, Matplotlib
  • Basic data structures
  • File I/O

Statistics Experience:

  • Basics of probability, conditional probability, Bayes theorem
  • Univariate distributions, normal, binomial, Poisson distributions
  • Multivariate normal distribution

Machine Learning Experience:

  • Basic understanding of supervised and unsupervised learning
  • Regression and Classification
  • Loss functions
  • Overfitting and Regularization
  • Model Selection
  • Basic anatomy of Neural Networks, with an understanding of the architecture - activation functions etc.

Class Timings

We will update it soon.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Fellowship Structure

Live online classes
1. Live Online Classes

Bi-weekly live, cohort-based lessons with labs and quizzes

Mentorship
2. Mentor-Supported

Ten or more hours/week to interact with an experienced & accomplished mentor

Module end Project
3. End-of-Module Project

Complex problems that challenge you to apply what you learn

Topics Covered

AI-3

Introduction to Language Models

Traditional Language Modelling

Word Embeddings

RNNs

GRUs & LSTMs

Language Models with RNNs, ELMo

Seq2Seq and Attention

Transformers

Policy

Cost of attending the fellowship

We charge a tiny non-refundable processing fee of USD-100 for the 6-week LIVE program toward processing cost.

Total initial amount - USD 100 payable upon acceptance.

The charge is for the cost of the platform, EdStem, for which we pay on a per-seat basis. Compute, also a significant per-person cost is currently provided free.

POLICY for the Certificate

- 75% attendance 

- All submissions (Homework + Projects)

We charge a tiny non-refundable processing fee of USD-100 for the 6-week LIVE program toward processing cost.

Total initial amount - USD 100 payable upon acceptance.

The charge is for the cost of the platform, EdStem, for which we pay on a per-seat basis. Compute, also a significant per-person cost is currently provided free.

POLICY for the Certificate

- 75% attendance 

- All submissions (Homework + Projects)

Why is there a fee for attending the fellowship

We charge a token fee merely to have your skin in the game. We’d like for you to attend once accepted. If you do not attend, someone else will be denied the opportunity.

Just so you know, the nominal value of the fellowship is around ₹50,000 per person for a 6 week program. This cost comes from the enormous amount of resources and costs, that go into making this opportunity available to a select few - namely

  • Professors & TAs
  • LMS platform
  • (EdStem)Curriculum development
  • Cloud compute & other cloud resources
  • A team of 40 people that supports various aspects of your experience

We charge a token fee merely to have your skin in the game. We’d like for you to attend once accepted. If you do not attend, someone else will be denied the opportunity.

Just so you know, the nominal value of the fellowship is around $625 per person for a 6 week program. This cost comes from the enormous amount of resources and costs, that go into making this opportunity available to a select few - namely

  • Professors & TAs
  • LMS platform
  • (EdStem)Curriculum development
  • Cloud compute & other cloud resources
  • A team of 40 people that supports various aspects of your experience

Download brochure

Join an info session
Thank you for your interest. You can now sign-up for counselling sessions to discuss courses, tuition options, career prospects and more. We will be happy to guide you through your Data Science journey.
Book your slotBook your slot
Oops! Something went wrong while submitting the form.