B.Tech Artificial Intelligence and Machine Learning

Program Details

The demand for Artificial Intelligence and Machine Learning is on the rise, with the World Economic Forum's Future of Jobs 2023 report estimating that by 2027, the demand for specialists in the field will increase by 40%.

Acharya’s AI and Machine Learning program is an interdisciplinary field that intersects with computer science, data science, mathematics and human science. Students benefit from state-of-the-art labs and cutting-edge technology, ensuring hands-on experience and practical application of theoretical knowledge.

courses-details

Program Highlights

  • Students learn to transfer the mathematical concepts necessary to define the problem, prepare & explore data, create models, solutions that apply to the real-world problem.
  • They are taught to integrate different interdisciplinary elements to generate results supporting decisions that deliver value to the business.
  • We have strong ties with industry and research institutions, giving our students opportunities to engage in research.
  • Students are molded to work in diverse sectors, such as FinTech, Healthcare, Video games, Virtual Reality and Augmented Reality.
  • Responsible AI practices are part of the curriculum.

Semester 1

  • English 101
  • Mathematics 101
  • Python
  • Computer Programming Lab Using Python
  • English Lab 101
  • Audit Course

Semester 2

  • English - 201
  • Mathematics - 201
  • Fundamentals of Computer Organization
  • Problem Solving Using C
  • Problem Solving Using C - Lab
  • English Lab - 201
  • Audit Course

Semester 3

  • Employability Skills - 301
  • Discrete Mathematical Structures with Graph Theory
  • Operating System
  • Open Elective - I
  • Data Structures using C
  • Data Structures Lab
  • Audit Course

Semester 4

  • Introduction to Web Programming
  • Design and Analysis of Algorithms
  • Database Management Systems
  • Open Elective - II
  • Employability Skills 401
  • Web and Database Lab
  • Audit Course

Semester 5

  • Probability & Statistics
  • IPCC - Object Oriented Programming in Java
  • Software Engineering
  • Introduction to Artificial Intelligence and ML
  • Open Elective - III
  • Employability Skills 501
  • Machine Learning Laboratory
  • Audit Course

Semester 6

  • Deep Learning
  • Program Specific Electives - I
  • Program Specific Electives - II
  • Open Elective - IV
  • Deep Learning Laboratory
  • Technical Seminar
  • Audit Course
  • Employability Skills 601

Semester 7

  • Reinforcement Learning
  • Program Specific Electives - III
  • Program Specific Electives - IV
  • Reinforcement Learning Laboratory
  • Project - Phase I

Semester 8

  • Project - Phase II
  • Internship