Department

Engineering

Delivery Mode

On Campus

Programs Offered

Degree

Duration

4

Extra Electives

Python | NLP with Spacy

Keras | PyTorch

Scikit Learn

AI and Machine Learning


Program Details

B.Tech in Artificial Intelligence and Machine Learning is currently the high-demand discipline in both Industry and Academics. Most of the IT companies like Microsoft, Google, AMAZON, Tesla, NVIDIA many more have adapted to this concept in their system.Artificial Intelligence involves the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Machine learning is a method of data analysis that automates analytical model building. Artificial Intelligence software, by the leading artificial intelligence companies, is a rapidly growing market that focuses on creating and providing intelligent problem-solving solutions. 

Machine Learning is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Computers are becoming smarter, as AI and ML, a subset of AI, make tremendous strides in simulating human thinking.

Propel your career towards a better job and salary with the most demandable AI & Machine learning program.

COURSE ENTRY


Admission requirements you'll need to meet for this course.

Qualification: Passed in Second PUC/12th standard/10+2/A Level, IB, American 12th grade or equivalent with English as one of the Languages and obtained a minimum of 45% of Marks in aggregate in Physics and Mathematics along with Chemistry/Bio-Technology/Biology/Electronics/Computer. (40% for SC, ST, category - 1, 2A, 2B, 3A and 3B category candidates of Karnataka State only.) Relaxation in minimum academic eligibility (i.e. 45% to 40%) is applicable only to Karnataka Candidates.

Entrance Exam

JEE/KCET or any other engineering entrance exams

COMPANIES RECRUITED ARE:


Adobe

Amazon

Google

Nokia

IBM

NTT Data

FEES AND SCHOLARSHIPS


Indian Students International Students
YearTution Fee (Rs.)University & Extra feesTotal (Rs.)
12,50,000150002,65,000
21,25,00015,0001,40,000
31,25,00015,0001,40,000
41,25,00015,0001,40,000

CURRICULUM:


Semester 1

  • Calculus
  • Chemistry I
  • Introduction to computer programming
  • Economics
  • Chemistry Lab
  • Workshop Practice

Semester 2

  • Linear Algebra and Ordinary Differential Equations
  • Modern Physics
  • Data Analysis and Interpretation
  • Abstractions and Paradigms in Programming
  • Physics Lab
  • Abstractions and Paradigms in Programming
  • Engineering Graphics and Drawing

Semester 3

  • Data Structures and Applications
  • Analog and Digital Electronics
  • Computer Organization
  • Software Engineering
  • Discrete Mathematical Structures
  • Analog and Digital Electronics Laboratory
  • Data Structures Laboratory
  • Vyavaharika Kannada (Kannada for communication)/ Aadalitha Kannada (Kannada for Administration)   OR  Constitution of India, Professional Ethics and Cyber Law

 

Semester 4

  • Complex Analysis, Probability And Statistical Methods
  • Design and Analysis of Algorithms
  • Operating Systems
  • Microcontroller and Embedded Systems
  • Object Oriented Concepts
  • Data Communication
  • Design and Analysis of Algorithm Laboratory
  • Microcontroller and Embedded Systems Laboratory
  • Vyavaharika Kannada (Kannada for communication)/ Aadalitha Kannada (Kannada for Administration)   OR  Constitution of India, Professional Ethics and Cyber Law

 

Semester 5

  • Management and Entrepreneurship for IT Industry
  • Automata Languages and Artificial Intelligence
  • Sensors and Sensor Applications
  • Machine Learning with Python
  • Computer Graphics and Image Processing
  • Database Management Systems
  • AI and Machine Learning with Python Laboratory
  • Database Laboratory
  • Environmental Studies

Semester 6

  • Advanced AI and ML techniques
  • Advanced Image Processing with Virtual Reality
  • Web applications using Machine Learning Techniques
  • Professional Elective -1
  • Open Elective –A
  • Natural Language and Image Processing Laboratory
  • Web applications Laboratory
  • Mini Project

 

Semester 7

  • Robotic Process Automation
  • Internet of Things with Machine Learning
  • Professional Elective – 2
  • Professional Elective – 3
  • Open Elective –B
  • Mobile Application development & Robotics automation Laboratory
  • Internet of Things Laboratory

Semester 8

  • Big Data andits applications
  • Professional Elective – 4
  • Project Work Phase – 2
  • Technical Seminar
  • Internship

MORE DETAILS:


More details about the course

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Head of the Deaprtment

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Artificial Intelligence Courses in Bangalore, Artificial Intelligence and Machine Learning Colleges in Bangalore, Artificial Intelligence and Machine Learning Colleges.HKBK College of Engineering is one of the top B.Tech colleges for B.Tech in Artificial Intelligence and Machine learning.