BTech Artificial Intelligence & Machine Learning A Guide

Artificial Intelligence and Machine Learning technologies are at the forefront of finding intelligent solutions to real-world challenges. As our technologically-advanced civilisation relies increasingly on digital data, machine learning is critical for most of our present and future applications. Engineers with AI skills would be required across all critical fields.

A B.Tech Program in Artificial Intelligence is intended to assist students in developing intelligent machines, computer software, or apps using a combination of machine learning. This course assists in the acquisition of intelligent solutions in a range of disciplines, as discussed below. 

Suppose you want to pursue a career in Artificial Intelligence and Machine Learning and want to work in this sector. In that case, this blog will help you with everything about B.Tech in Artificial Intelligence. Related to AI and ML, you may also consider learning some coding languages for AI chatbots.

B.Tech Artificial Intelligence and Machine Learning: Course Highlights

Program Level	Undergraduate (B.Tech)
Duration of the Program	Four Years
Admission Procedure	Merit-Based Admission as well as Entrance Examination
Average Course Fee	₹1,00,000 to ₹1,50,000 per annum
Average Starting Salary	Between ₹10 lakhs per annum to ₹15 lakhs per annum
Job Profiles	Data Scientist, Data Analyst, Data Engineer, Computer Vision Engineer, Principle Data Scientist, and so on.

B.Tech Artificial Intelligence and Machine Learning: Everything You Need to Know

The B.Tech program in Artificial intelligence and machine learning relies primarily on machine programming. It enables the applicant to communicate with the machine in the computer's native language. Thus, as part of the curriculum, the applicant must master these specialised languages that may be utilised to tailor the function of machines.

Pursants of B.Tech in artificial intelligence and machine learning will learn probabilistic models, knowledge representation, and reasoning procedures. The syllabus also comprises nuanced aspects of etiquette. For instance, students study deep learning, human-computer interface, and augmented reality. 

During this degree, certain institutes may require students to study edge computing, the operation of the internet, marketing one's computer programme, psychology, and robotics.

It is not a new truth, but with the introduction of the internet, a new era of automation has swiftly emerged. As a result, people who complete their B.Tech in AI and ML may have several opportunities once he enters the service industry. Also, the need for learning new technology trends will always be there. 

B.Tech Artificial Intelligence and Machine Learning: Scope

A Bachelor of Technology degree in AI and ML training allows students to work in a wide range of public and private businesses. As AI technology advances, almost no big organisation will be left behind. This technology is already in use in self-driving automobiles. Many businesses are working on self-driving vehicles built with AI and machine learning.

The advantages of such technology are numerous, ranging from better road safety to entertainment. Human mistake causes 90% of highway accidents, and these technologies will assist in decreasing human error. Uber and Tesla are two firms that are working on self-driving automobiles. 

BCIs are another area where AI will be employed in medicine. These can identify speech and movement issues as well as decipher cerebral activity. The AI business is rapidly expanding, and career prospects for AI workers are virtually limitless. 

As AI grows in popularity, new professions will be created. High-profile roles will emerge as the sector gets more efficient.

B.Tech in AI and Machine Learning Entrance Exams

The following exams can be taken for admission to the given course; however, it should be noted that most universities consider the candidate's score in the IIT-JEE examination as a criterion for admission; thus, the candidate may only take that particular examination and then apply to various universities.

• Joint Entrance Examination Mains (JEE Main): It is a national-level entrance examination for admission to UG engineering courses.
• Joint Entrance Examination Advanced (JEE Advanced): This is an advanced-level entrance examination conducted nationally for admission to undergraduate engineering courses in IITs and other top engineering colleges. You need to qualify for JEE Main and make the cut-off mark for JEE Advanced.
• West Bengal Joint Entrance Examination (WBJEE): West Bengal Joint Entrance Examination is a state-level entrance examination for admission to engineering courses in colleges and universities based in West Bengal. 
• Vellore Institute of Technology (VITEEE): Vellore Institute of Technology Engineering Entrance Examination is a university-level entrance examination for admission to engineering courses in VIT or Vellore Institute of Technology. 
• SRM Joint Engineering Entrance Examination: SRM Joint Engineering Entrance Examination is a university-level online-based entrance examination for admission to engineering courses at Sri Ramaswami Memorial University.
• Kerala Engineering Architecture Medical (KEAM): This is a state-level entrance examination for admission to engineering courses in colleges and universities based in Kerala. 

B.Tech Artificial Intelligence and Machine Learning: Eligibility Requirements

To apply for the B.Tech Artificial Intelligence and Machine Learning course, certain qualification conditions must be met. We have supplied the eligibility conditions below for your convenience, which are as follows:

• Aspiring students must have passed their Class 12 exam with Physics, Chemistry, and Mathematics as their primary subjects. They must have passed a recognised board examination.
• The applicant must have received a minimum of 60% in the higher secondary test.

Top Colleges for B.Tech in AI and ML

College Name	Total Tuition Fee	Management
Amity University, Lucknow	₹9.44 lakh	Private
Chandigarh University	₹2.26 lakh – ₹9.68 lakhs	Private
College of Engineering, Pune	₹74,000 – ₹2.10 lakh	Public
D. Y. Patil College of Engineering, Akurdi	₹4.98 lakhs	Private
Department of Technology, Savitribai Phule Pune University	₹1.75 lakhs	Public
Galgotias University	₹1 lakh – ₹5.96 lakhs	Private
Guru Gobind Singh Indraprastha University	₹4.64 lakh	Public
IIIT Delhi	₹17 lakh	Public
IIT Hyderabad	₹8 lakh	Public
Presidency College	₹3.30 lakh – ₹4 lakh	Private

B.Tech in AI and ML Syllabus

This educational programme lasts four years and is divided into eight semesters. Here is a table showing the semester-by-semester B.Tech AI ML syllabus:

Semester	Courses
Semester 1	Mathematics I, Physics, Physics Lab, Programming in C Language, Programming in C Language Lab, Playing with Big Data, Open Source and Open Standards, Communication WKSP 1.1, Communication WKSP 1.1 La, Seminal Events in Global History
Semester 2	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 3	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 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
Semester 5	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: – Aspects of Modern English Literature or Introduction to Linguistics, Minor Project I
Semester 6	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 7	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
Semester 8	Major Projects 2, Program Elective-5, Program Elective-6, Open Elective – 4, Universal Human Value & Ethics, Robotics and Intelligent Systems

Conclusion

Artificial Intelligence and Machine Learning are blooming platforms every business wants to use. Given the scenario, if you decide to pursue a B.Tech degree in Artificial Intelligence and Machine Learning, you can build a great career path ahead. But since AI and ML are always evolving, the need to stay updated with the current tech trends is crucial. That is where Sunstone comes in.

Sunstone is a prominent education service provider that offers industry-aligned Career Tracks via individualised training modules. You can sign up with Sunstone and rest assured of dedicated placement support.