Check our FREE resources
Learn More

AI-3: Language Models

This course provides you with the fundamental understandings 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 course, you will be able to build efficient language models, and tell how well they are performing.


This course will prepare you for more advanced studies in deep learning and more intermediate positions in AI research and opportunities.

Program image
Applications opening soon
Registration Closed

Starts

April 19, 2021
To be decided
Self-paced

Duration

6 weeks

Format

Live Online
Online

Time Investment

10 to 15 hours per week
Online

Fee

₹40,000.00

(Interest free EMI available)

Registration closes

April 10, 2021
To be decided

Course Outcome

Program Overview

Program Overview

After successfully completing the program, you will be:

  1. Able to build complex language models and gauge their performance.
  2. Awarded a certification in Artificial Intelligence.
  3. Prepared to pursue advanced (graduate and above) level studies in deep learning.
  4. Qualified to seek entry level and intermediate AI and machine learning positions in the industry.

Who should apply

Prerequisites

Learners and practitioners who have a fundamental understanding and practice of basic AI and ML concepts including Neural Networks are ideal for this course. You should have strong foundations in statistics, computer science & mathematics.

See if you are ready

Knowledge of beginning and intermediate AI as exemplified by the topics in AI: Basics

Prior knowledge of high level machine learning libraries such as keras


Course Structure

Live online classes
1. Live Online Classes

Bi-weekly 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 learned

Capstone
4. Capstone

10–12 week long Capstone Project with one of our partner companies or faculty

Program Faculty

Dr. Pavlos Protopapas

Professor, Harvard University

Pavlos is the Scientific Program Director, Institute for Applied Computational Science (IACS) at Harvard University, and leads the data science masters program at Harvard.

View Profile

Topics Covered

AI 3

Traditional language modeling
Embeddings
RNNs and LSTMs
Language Modeling (predict next world) with RNNs
Attention and Seq2Seq models
Transformer Models
BERT, ELMO, and GPT

Project Week

Our Alumni

More reviews

Our Alumni are at

Financial Assistance

Interest free EMI

Our programs are priced for access, and are affordable for most around the world who seek the best training in sought after areas like AI and Data Science. For those who might still need financing, we have EMI payments available.

Scholarship for the best

A small number of Univ.AI Scholarships are available for the best candidates. Learn More

Tell a friend about our program

And we'll give you both Amazon vouchers worth ₹ 5,000

Learn more

Frequently Asked Questions

No items found.
More answers

Request more information

By submitting your email, you agree to our privacy policy
Thank you! Our team will contact you shortly.
Oops! Something went wrong while submitting the form.