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BTech Artificial Intelligence and Machine Learning is primarily a 4-year undergraduate degree program, provided in the Engineering stream. The student under BTech Artificial Intelligence and Machine Learning is required to write the code of the said machine. This code in essence works as guiding instruction for the machine, they said the machine is performing tasks with less human intervention.

In order to communicate with the machines, the student is required to know the specific language understood by the machine, thus in the program students are taught the languages which can be input into the machine. Computer languages like Prolog, Lisp, JAVA and Python are some languages that are taught in this course. 

Students pursuing BTech Artificial Intelligence and Machine Learning would be taught Mathematics and Physics in modular forms during their first few semesters, afterwards, the program will shift towards subjects that are at the core of AI. Top universities like IIT Hyderabad, VIT and Chandigarh University provide this course. The annual average fees for BTech Artificial Intelligence and Machine Learning stand around 1-2 Lakhs per annum. Supreme companies like Oracle, Wipro and TCS offer placements to the graduates of this course. 

Graduates of B.Tech in artificial intelligence and machine learning are still required and their need is only bound to increase. In order to be eligible for opting for this 4-year undergraduate course, firstly, the student must have cleared their 10+2 Matric exams from a recognized board; secondly, they must have passed their exams with Mathematics and Physics as their compulsory subjects. The last requirement may vary as different institutes have varied cut off and entrance criteria for students.

BTech Artificial Intelligence and Machine Learning Course Highlights 

Level of ProgramUndergraduate
Program Duration4 Years
Eligibility CriteriaApplicants qualifying their 10+2 exam from a recognised Board and Science stream (Physics and Mathematics compulsory subjects) are eligible
Admission ProcessBoth Entrance Test based and Merit-based admission process
Average Course FeeINR 1,00,000/- to INR 1,50,000/- per annum
Average Starting SalaryBetween 10 LPA and 15 LPA
Job ProfilesData Analyst, Data Scientist, Data Engineer, Principle Data Scientist, Computer Vision Engineer etc

What is BTech Artificial Intelligence and Machine Learning about? 

Essentially, the B.Tech undergraduate program in Artificial intelligence and machine learning, revolves around programming of machines. In essence, it allows the candidate in communicating to the machine in the machine’s mother tongue. Thus in the program the candidate is required to learn these specific languages which can be used to customize the function of machines. 

This is only one of the many faces of this program, a lot more is taught alongside these rudimentary topics. Many facets which aid the student in understanding the functioning are taught in this course, for instance information relating to knowledge representation, probabilistic models and reasoning methods are also taught to the candidate form the computer perspective.

The candidates just don’t solely learn about artificial intelligence; they are actually familiarized with more intricate of the decorum. For instance, they are taught about deep learning, human computer interaction and augmented reality. Some institutes also offer the students interdisciplinary courses during this program, students may be required to study edge computing, functioning of internet, psychology marketing one’s computer program and robotics. 

It is not a new fact, but in recent years with the advent of the internet, a age of automation has also rapidly risen. The requirement of artificial intelligence is skyrocketing. The biggest companies in the global market revolve around programming for instance Facebook, google in foreign player and Wipro among the Indian IT companies may hire individuals who are passed out form this undergraduate course. Thus this may provide ample opportunity to the graduate once he steps into the service sector.

Why Study BTech Artificial Intelligence and Machine Learning course?

The global market since the advent of the internet and smartphones have been leaning towards artificial intelligence. In the current automated age machines are required for successfully completing numerous tasks, lives of individuals in the current world are to an extent dependent on proper functioning of these machines. 

  • The market share of artificial intelligence is projected to grow USD 190.61 Billion by 2025. 
  • Ai in the current world is omnipresent; it has made its way in the service sectors on numerous levels. 
  • In the current automated world, it is quite rare to find a sector or horizon untouched by AI. 

Thus pursuing this field will enable the individuals in obtaining these highly favorable jobs which are only bound to increase with time.

B.Tech in Artificial Intelligence and Machine Learning Admission Process 

Admission to the given course is essentially processed through two methods. Either an institute might conduct an entrance exam or it will scrutinize the candidate's merit by considering their performance in 10+2 matric exams. Some institutes conduct their sole entrance exams which are entirely focused on the allocation of seats in the given course. While other institutes also conduct similar BTech Entrance Exams, they also consider the performance of the candidate in the other India wide exams like JEE, for granting due admission. Steps in relation to the admission procedure are listed below.

Step 1: The candidate needs to pass his 10+2 with a minimum aggregate of 50%, this aggregate percentage may vary, but it's similar for most institutes. Only after securing it would he be eligible for sitting for entrance exams for registration in the due course.

Step 2:Different institutes conduct different entrance exams, for getting into an IIT the candidate needs to pass IIT-JEE Advanced, some universities like Chandigarh university have their own exams which are required to be cleared for gaining a seat. Similarly, Universities like Indraprastha consider the marks of candidates in both their own university exam as well as in all India wide exams like JEE.

Step 3: Then the student is required to go through the counseling stage, some institutes might even have a personal interview stage which might be required to be cleared by the candidate.

B.Tech Artificial Intelligence and Machine Learning Eligibility 

As mentioned the eligibility criteria for this undergraduate varies in relation to the college. Still, there are a few prerequisites that are essential for pursuing this undergraduate course in most institutes, this criterion has been further discussed below.

  • The candidate must have passed his 10+2 examination from the PCM field, from a recognized state/central education board.
  • The candidate must have secured an aggregate of 50% marks in his 10+2 matric examinations,
  • Candidates from SC/ST category will be eligible for admission after securing 45% marks in their matric examinations.
  • Lastly, specific university based examinations are required to be cleared to be considered as eligible for this course.

B.Tech in Artificial Intelligence and Machine Learning Entrance Exams 

Following exams can be given for admission in the given course, it shall be duly noted that most universities consider the score of the candidate in the IIT-JEE examination as a marker for admission thus the candidate may only give that particular examination and afterward apply accordingly in various universities.

Entrance ExamsExam Dates
JEE MainsCheck Here
JEE AdvancedCheck Here
WBJEECheck Here
VITEEECheck Here
SRMJEECheck Here
KEAMCheck Here

How to Prepare for an BTech Artificial Intelligence and Machine Learning Entrance Exam? 

These following steps can be used as guiding stones for your entrance exam preparation for the given undergraduate course.

Step 1: Most importantly, the candidate shall first mark up his calendar with dates of the examinations   that he would like to give, further he shall collect the essential information in regard to those exams, like their admission forms, syllabus and eligibility criterion.

Step 2: The student in his initial days of preparation is advised to gauge the syllabus in depth, so he is able to determine what he actually needs to study for the examinations. This will further aid him in purchasing books which may complement his studies,

Step 3: After gaining enough understanding of what is required to be studied, the candidate then can look up various resources. Previous years exam papers would be a good place to start with, this will aid the candidate in understanding the structure of the paper – which topic is asked frequently, what is the pattern and related marking scheme. These papers can also be used as a guiding stone for buying books which may complement the student’s preparation. Based on their discretion they can also enroll themselves in a coaching institute which may further guide them for the same.

Step 4: After studying the whole syllabus or a major part of it the candidates are advised to give mock tests in order to test their knowledge, this will aid them in filling loopholes in their knowledge pool

Step 5: Few weeks before the examination the candidate shall immerse himself in revision in order to solidify the information that he has learned throughout his preparation.

How to get Admission in a Good College ? 

Step 1:  Search for the colleges, which you would like to aim for, afterwards make a detailed lists enlisting the specifics in regards to those colleges

Step 2:  Find out the method of admission along the eligibility criteria, before filling in the said admission form

Step 3: Fill the provided admission form, there various net centers are present which may aid the candidate in filling up their respective forms in a correct way.

Step 4: The candidates then shall keep the copy of their 10+2 mark sheet handy as it would be required in most forms. Further other necessary documents shall be kept by candidate in both hard and soft copy forms.

Step 5: The candidate shall markup dates in relation to the examination. Further they should also keep the dates allocated admission in mind. Give the examination

Step 6:After qualifying for the said examination the candidates may be required to give a personal interview. Some institutes might even have group discussions at this stage.

Step 7: After getting your name on the admission list of your desired college you are required to pay the listed fees within time. This shall mark as the last step for confirming your admission in a college of your choice.

Semester 1Semester 2
  • 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
  • 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 3Semester 4
  • 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
  • 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 5Semester 6
  •  
  • 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
  • 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
Semester 7Semester 8
  • Program elective
  • Web Technologies
  • Major Project- 1
  • Comprehensive Examination
  • Professional Ethics and Values
  • Industrial Internship
  • Open Elective - 3
  • CTS-5 Campus to corporate
  • Introduction to Deep Learning
  • Major Projects 2
  • Program Elective-5
  • Program Elective-6
  • Open Elective - 4
  • Universal Human Value & Ethics
  • Robotics and Intelligent Systems

B.Tech in Artificial Intelligence and Machine Learning Top Colleges 

The best colleges who offer this 4 –year undergraduate course in Artificial intelligence and machine learning are as follows.

InstituteCityAnnual Fees
Chandigarh UniversityChandigarhINR 1.6 Lakh
Dev Bhoomi Uttarakhand UniversityDehradunINR 1.5 Lakh
Indraprastha Institute of Information TechnologyDelhiINR 3.6 Lakh
DYPatil International UniversityPuneINR 2.1 Lakh
Sharda UniversityNoidaINR 1.8 Lakh
Sage UniversityIndoreINR 1.25 Lakh
Galgotias UniversityNoidaINR 1.7 Lakh
Lovely Professional UniversityPhagwaraINR 1.96 Lakh
IIT HyderabadHyderabadINR 1.25 Lakh

B.Tech in Artificial Intelligence and Machine Learning College Comparison 

This is a tabular comparison of colleges which provides B.Tech in Artificial Intelligence and Machine Learning -

ParametersChandigarh UniversityIndraprastha Institute of Information TechnologySRM Institute of Science and Technology (SRM IST)
OverviewVarious facets of AI like knowledge representation, probabilistic models, and machine learning are taught here.Students are offered a dedicated course which discusses computer vision, robotics, and autonomous systemsit offers B Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning).
Rank (NIRF)1175641
Average Course FeesINR 4-5 LakhsINR 7-8 lakhsINR 10 -11 Lakhs
Average Salary OfferedINR 8-10 LPAINR 16-17 LPAINR 14-15 LPA
Top CompaniesTech Mahindra, Tata Elxsi and InfosysWipro, TCS and ZenithOracle, HCL technologies and Mastek

BTech Artificial Intelligence and Machine Learning Course Comparison 

B.Tech in Artificial Intelligence and Machine Learning vs B.Tech in Computer Science and Engineering

ParametersB.Tech in Artificial Intelligence and Machine LearningB.Tech in Computer Science and Engineering
LevelUndergraduateUndergraduate
Duration4 years4 years
EligibilityMinimum score of 50% (Relaxable for reserved category students) marks at UG level.Minimum score of 55% (Relaxable for reserved category students) marks at UG level.
Average Course FeesBetween INR 2 to 12 LakhsBetween INR 2 to 10 Lakhs
Average Salary OfferedBetween 3.5 LPA to 4.5 LPAINR 1.5 to 3.5 Lacs
Top CompaniesOracle, Facebook, InfosysTCS, Wipro, DXC,
Job ProfileMachine Learning Engineer, Big Data & AI Architect, Big Data Scientist, Artificial Intelligence EngineerSoftware engineers, application developer, network engineer, hardware engineer, CAD engineer

B.Tech in Artificial Intelligence and Machine Learning Jobs 

There are varied opportunities which awaits the B.Tech graduate in artificial intelligence and machine learning, some of the biggest corporate names in India and outside recruit these graduates. Some of these companies are listed below:

  • Google
  • Facebook
  • Wipro
  • IBM
  • NIIT
  • Oracle
  • Genpact
  • HDFC Bank

The scope of specialization in this field may aid the graduate in, pursing jobs in both public and private sector, the individual can pursue 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

Job profiles in relation to the jobs mentioned are given enlisted below:

Job PositionJob DescriptionAverage annual Salary
Software EngineerEssentially, the individual is indulged in computer programming and application development, he aids in development of user focused programs such as web browsers, etc.INR 5.3 Lakhs
Machine Learning EngineerYou are required to run algorithms for running respective programs. Further you are required to ensure their smooth functioningINR 6.7 Lakhs
Data ScientistA Data Scientist collects, analyzes, and interprets large amounts of unstructured data using Machine Learning and predictive analysis to derive insight and help design future strategies.INR 7.3 Lakhs
Data AnalystA Data analyst initially acquires information in regards to a specific topic, then organizes, interprets and analyses that data. and at last present the findings in the form of comprehensive reports.INR 5.4 Lakhs
Data ArchitectHe constructs highly scalable data management, using machine learning language.INR 5.6 Lakhs

B.Tech in Artificial Intelligence and Machine Learning Future Scope 

The future scope in relation to this degree has been discussed below –

  • The whole artificial intelligence industry is expected to grow from USD 21.46 Billion in 2018 to USD 190.61 Billion by 2025
  • Neural network market whose working will be taught in this course is projected to be worth more than over $23 billion in 2024.
  • An employee working in a regular firm may earn up to 6-7 lacs per annum, while some renowned companies like Wipro and Facebook pay their employees around 30 lacs yearly.
  • Like in every profession, the rate of salary slowly increases with experience and new established skills.
  • The inroads in AI, is only bound to increase as they enable the human activity to go unhindered, they allow smooth functioning of aligned chains.
 

 

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