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What is B.Tech Artificial Intelligence & Machine Learning

This 4 year undergraduate course of Computer Science & Engineering with specialization in AI & Machine Learning is designed to make the professional technically sound in advanced learning systems that are based on algorithm of Artificial Intelligence. This programme develops the skills of creating fastest working apps or solutions integrated with analytical information ensuring 100% accuracy in the output.

Scope of Artificial Intelligence & Machine Learning

Artificial Intelligence market is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025.Machine Learning (ML), globally recognized as a key driver of digital transformation, will be responsible for cumulative investments of $58 billion by the end of 2021.Neural networks market will be worth over $23 billion in 2024.

It is not needed to be mentioned that AI has now penetrated in all the horizons of service sector. There is rarely any field which is untouched by Artificial Intelligence hence generating lakhs of vacancies for skilled professionals by 2020.

What will be taught?

Semester- I

  • Mathematics I
  • Physics
  • Physics Lab
  • Programing in C Language
  • Programing in C Language Lab
  • Playing with Big Data
  • Open Source and Open Standards
  • Communication WKSP 1.1
  • Communication WKSP 1.1 Lab
  • Seminal Events in Global History

Semester II

  • Mathematics II
  • Basic Electronics Engineering
  • Basic Electronics Engineering Lab
  • Data Structures with C
  • Data Structures-Lab
  • Discrete Mathematical Structures
  • Introduction to IT and Cloud Infrastructure Landscape
  • Communication WKSP 1.2
  • Communication WKSP 1.2 Lab
  • Environmental Studies
  • Appreciating Art Fundamentals

Semester III

  • Computer System Architecture
  • Design and Analysis of Algorithms
  • Design and Analysis of Algorithms Lab
  • Web Technologies
  • Web Technologies Lab
  • Functional Programming in Python
  • Introduction to Internet of Things
  • Communication WKSP 2.0
  • Communication WKSP 2.0 Lab
  • Securing Digital Assets
  • Introduction to Applied Psychology

Semester IV

  • Operating Systems
  • Data Communication and Computer Networks
  • Data Communication and Computer Networks Lab
  • Introduction to Java and OOPS
  • Introduction to Java and OOPS Labs
  • Applied Statistical Analysis (for AI and ML)
  • Current Topics in AI and ML
  • Database Management Systems & Data Modelling
  • Database Management Systems & Data Modelling Lab
  • Impact of Media on Society

Semester V

  • Formal Languages & Automata Theory
  • Mobile Application Development
  • Mobile Application Development Lab
  • Algorithms for Intelligent Systems
  • Current Topics in AI and ML
  • Software Engineering &  Product Management
  • Minor Subject: - 1. Aspects of Modern English Literature or Introduction to Linguistics
  • Minor Project I

Semester VI

  • Reasoning, Problem Solving and Robotics
  • Introduction to Machine Learning
  • Introduction to Machine Learning
  • Natural Language Processing
  • Minor Subject 2 – General Management
  • Minor Subject 3 - Finance for Modern Professional
  • Design Thinking
  • Communication WKSP 3.0
  • Minor Project II

Program Highlights

  • Student centric learning approach
  • Industry attachments: Seminars / Conferences / Workshops / Industry Visits / Guest Lectures
  • Lectures by Industry Experts & academia
  • Acquire ability to design intelligent solutions in variety of domains & business applications
  • Gain Hands on experience with machine learning components, intelligent reasoning & various other AI tools & technologies.

Careers Prospects- This course provides the following jobs

  • Machine Learning Engineer
  • Big Data & AI Architect
  • Big Data Scientist
  • Artificial Intelligence Engineer
  • Research Engineer - Artificial Intelligence
  • Data and AI Consultant
  • Robotics Professional
  • Software Engineer
  • IoT Architect
  • Machine Learning Engineer
  • Machine Learning Architect

Leading Recruiters- Trained professionals are needed by technologically driven companies across the platforms

  • Google
  • Amazon
  • Facebook
  • IBM
  • NIIT
  • Oracle
  • Genpact
  • HDFC Bank
  • FMCG Companies as they are producing smart machines
  • E-commerce companies like Snapedeal/ Flipkart


Matriculation with-60% marks Sr. Secondary (10+2) in PCM


4 Years

Admission Procedure

Fill online application form & appear for entrance exam

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