Introduction to AI with Great Learning

Introduction to Artificial Intelligence

This course is for people who want to know more about the uses of AI in practice. This course is offered in conjunction with PGP-DSE as it is important for data scientists and data analysts to know about AI in order to make business decisions. The course is completely non-technical.

About the course

AI is not only for techies. If you want you or your organization to become better at using AI, this is the course you should go for. In this course, you will learn the meaning behind common AI terminology, including Neural Networks, Computer Vision and Natural Language Processing. This will be explained with the help of a case study and real world examples.

Skills used in the course

  • Neural networks basics
  • CNNs basics
  • RNNs & LSTMs basics

Course Syllabus

Module 1

Neural Networks & Deep Learning

90 mins

  • History of AI & Advent of Deep Learning
  • The Data-driven approach to Deep Learning
  • What are Neural networks?
  • Building blocks of Neural networks
  • How do you solve a digit classification problem using Neural networks?
  • Show more

Module 2

Computer Vision

120 mins

  • Working with Image data
  • What are filters?
  • Introduction to Convolutional Neural networks (CNNs)
  • Popular architectures in the field of Computer Vision
  • Transfer Learning
  • Show more

Module 3

Natural Language Processing (NLP)

90 mins

  • Introduction to Natural Language Processing
  • Exploratory data analysis (EDA) while dealing with text data
  • Converting text to numbers
  • What are Recurrent Neural networks (RNNs) and Long-Short term memory (LSTMs)?
  • Popular applications of LSTMs in the field of NLP
  • Show more

Case Study

Case study on how to build a Face Recognition model

Learn from the best faculty

Great Learning Artificial Intelligence program faculty Dr.Arjun Jain

Dr. Arjun Jain

PHD (Max Planck Institute)

Adjunct Faculty, IIT Bombay

Dr. Jain is the co-founder of Perceptive Code, a Silicon Valley AI startup that builds intelligence into automobiles using Deep Learning. He is part of the Theano development team and a contributor to Torch - both of which are widely used libraries for Deep Learning.

Dr. Jain received his Ph.D. from the Max Planck Institute in Germany and his post-doc from NYU where he worked with Yann LeCun.

Great Learning Artificial Intelligence program faculty Dr.Amit Sethi

Dr. Amit Sethi

PHD (University of Illinois at Urbana-Champaign)

Faculty, IIT Bombay

Prof. Sethi is currently a faculty member at IIT Bombay where his research is focused on applying deep learning methodologies to digital pathology for analysis of cancer tissues. He was previously a faculty member at IIT Guwahati and spent many years at ZS Associates, a leading management consulting firm, at their offices in Chicago.

Prof. Sethi holds MS and Ph.D. degrees from University of Illinois at Urbana-Champaign and BTech from IIT Delhi.

Course certificate

Get a course certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

Great Learning artificial intelligence course completion certificate