byArun Kumar
Updated on - 21 Jan, 2024
The Bachelor of Technology in Artificial Intelligence and Machine Learning (B.Tech) software is an advanced graduate degree that equips students with a comprehensive understanding of superior technology. This specialised path integrates theoretical expertise with realistic capabilities to foster know-how inside the rapidly growing fields of artificial intelligence (AI) and machine studying (ML) Students delve into middle topics consisting of algorithms, records technology, neural networks, and herbal language processing.
The path emphasizes practical experience thru realistic initiatives and enterprise-applicable case studies. Students grasp programming languages such as Python, R, and Java, in addition to gear and frameworks commonly used in AI and ML programs. The application includes ethical considerations and the social implications of AI, making ready graduates to address ethical challenges in this dynamic field.
Step | Description |
---|---|
1. Eligibility Check | Verify that you meet the minimum academic requirements. |
2. Apply Online | Submit the online application form along with necessary documents. |
3. Attend Entrance Exam (if applicable) | Successfully complete the entrance exam if required. |
4. Merit List Generation | Wait for the merit list to be published. |
5. Admission Offers | Receive admission offers from shortlisted colleges. |
6. Confirmation of Admission | Secure your seat by confirming admission and paying the fee. |
Educational Qualifications:
Minimum Percentage:
Entrance Examinations:
Age Limit:
Nationality:
Joint Entrance Examination (JEE) Main: JEE Main is a national-degree front exam in India for admission to various engineering applications, including B.Tech in Artificial Intelligence & Machine Learning. Conducted by way of the National Testing Agency (NTA), it evaluates candidates' understanding of physics, chemistry, and mathematics. The exam includes two papers – Paper 1 for B.E./B.Tech admissions and Paper 2 for B.Arch and B.Planning. JEE Main is a essential step for admission to prestigious engineering institutes like the Indian Institutes of Technology (IITs) and the National Institutes of Technology (NITs).
BITSAT (Birla Institute of Technology and Science Admission Test): BITSAT is carried out with the aid of Birla Institute of Technology and Science (BITS) for admission to its various campuses, presenting packages like B.Tech in Artificial Intelligence & Machine Learning. The pc-based check assesses applicants' skillability in physics, chemistry, arithmetic, logical reasoning, and English proficiency. Scoring well in BITSAT opens doors to one of the finest engineering institutes in India.
State-Level Engineering Entrance Exams: Many states in India conduct their very own engineering entrance assessments for admission to B.Tech programs. Examples consist of MH CET (Maharashtra Common Entrance Test), AP EAMCET (Andhra Pradesh Engineering, Agriculture, and Medical Common Entrance Test), and others. These checks are specific to each kingdom and function a gateway to engineering schools inside that nation.
VITEEE (VIT Engineering Entrance Examination): VITEEE is carried out by using Vellore Institute of Technology for admission to its B.Tech packages, which includes specializations like Artificial Intelligence & Machine Learning. The examination evaluates applicants' information in physics, chemistry, arithmetic/biology, English, and flair. A excellent rating in VITEEE paves the manner for admission to VIT, a reputed non-public university in India.
Semester | Syllabus Name | Syllabus Details (100 words) |
---|---|---|
1st Semester | Foundations of Mathematics and Computer Science | This semester lays the groundwork with courses like calculus, linear algebra, and programming fundamentals (C/C++). You'll delve into basic data structures, algorithms, and problem-solving techniques. |
Introduction to Artificial Intelligence | Get an introductory overview of AI concepts, including search algorithms, knowledge representation, reasoning, and machine learning fundamentals. | |
Discrete Structures | Explore sets, relations, graphs, and logic, building a strong foundation for theoretical computer science and AI applications. | |
2nd Semester | Data Structures and Algorithms | Dive deeper into advanced data structures like trees, graphs, and hashing, along with efficient algorithms for sorting, searching, and graph traversal. |
Probability and Statistics | Master the fundamentals of probability theory, statistical analysis, and hypothesis testing, crucial for understanding and building machine learning models. | |
Computer Organization and Architecture | Gain insights into the inner workings of computers, covering processor architecture, memory hierarchy, operating systems, and computer networks. | |
3rd Semester | Machine Learning I | This is where the excitement begins! You'll learn about supervised learning algorithms like linear regression, decision trees, and support vector machines, along with model evaluation techniques. |
Object-Oriented Programming | Enhance your programming skills with object-oriented concepts like encapsulation, inheritance, polymorphism, and design patterns in languages like Java or Python. | |
Database Management Systems | Understand the principles of database design, query languages (SQL), and data management techniques for large-scale AI applications. | |
4th Semester | Machine Learning II | Delve deeper into unsupervised learning algorithms like clustering, dimensionality reduction, and anomaly detection. You'll also explore advanced topics like ensemble methods and reinforcement learning. |
Natural Language Processing | Discover the fascinating world of NLP, covering text processing, machine translation, sentiment analysis, and chatbots. | |
Computer Graphics and Multimedia | Learn the fundamentals of computer graphics, image processing, and multimedia technologies relevant for AI applications in various domains. |
Tabulated below is the collection of the Top 10 Colleges in India with Low Fees, including their key features.
Name of the institute | Fees |
---|---|
The Institute of Company Secretaries of India | INR 20 |
Raja Narendra Lal Khan Women's College | INR 22 |
RR Bawa Dav College for Girls | INR 25 |
Tezpur College | INR 50 |
Institute of Advanced Studies in Education | INR 60 |
Utkal University of Culture | INR 100 |
Pandit Deendayal Upadhyay Medical College | INR 145 |
Bharathidasan University, Centre for Distance Education | INR 150 |
Bareilly College | INR 180 |
Akbar Peerbhoy College of Commerce and Economics | INR 200 |
Tabulated below is the collection of the Top 10 Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Colleges in India with Fee Structure, including their key features.
Meet Eligibility Criteria: Ensure that you meet the eligibility criteria set by means of the group. This generally includes finishing 10+2 schooling with a strong history in mathematics and science.
Appear for Entrance Exams: Many institutions require candidates to take entrance exams. Popular tests include JEE Main, BITSAT, and nation-stage engineering front exams. Perform properly in these tests as they play a critical role in the choice process.
Application Submission: Complete and put up the application form supplied by the respective group. This regularly consists of offering private info, academic information, and scores from qualifying checks.
Merit-Based Selection: Institutions regularly have a benefit-based selection manner, thinking about the overall performance in entrance checks, academic achievements, and occasionally an interview or counseling session.
Counseling/Interview (if relevant): Some establishments behavior counseling classes or interviews to assess candidates' suitability for the program. This step may also contain discussing educational achievements, profession desires, and interest in Artificial Intelligence & Machine Learning.
Document Verification: Shortlisted applicants are required to submit essential documents for verification. These files may also include 10+2 certificates, entrance exam scorecards, identity evidence, and others.
Payment of Fees: Once selected, candidates want to pay the admission costs in the certain time to stable their seat in the program.
Commencement of Classes: After finishing the admission system, college students can begin their B.Tech software in Artificial Intelligence & Machine Learning.
Tabulated below is the collection of the Top 10 Government Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Colleges in India with Fee Structure, including their key features.
Tabulated below is the collection of the Top 10 Private Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Colleges in India with Fee Structure, including their key features.
Name of the institute | Course Name | Fees |
---|---|---|
Sir Padampat Singhania University | Master of Business Administration [MBA] | INR 193,000 |
BN College of Engineering and Technology | Bachelor of Technology [B.Tech] | INR 90,292 |
Anurag University | Bachelor of Technology [B.Tech] | INR 250,000 |
Christ University | Master of Business Administration [MBA] | INR 380,000 |
Lovely Professional University | Master of Business Administration [MBA] {Hons.} | INR 406,000 |
Jaipur National University | Bachelor of Arts + Bachelor of Laws [BALLB] {Hons.} | INR 621,000 |
Hindustan Institute of Technology and Science | Bachelor of Technology [B.Tech] | INR 385,000 |
Heritage Institute of Technology | Master of Computer Applications [M.C.A] | INR 151,100 |
Maharaj Vijayaram Gajapathi Raj College of Engineering | Bachelor of Technology [B.Tech] | INR 67,700 |
Manav Rachna University | Bachelor of Technology [B.Tech] | INR 244,000 |
College Name | City | Average CTC (INR lakhs) |
---|---|---|
Indian Institute of Technology, Delhi (IIT-D) | Delhi | 20-25 |
Indian Institute of Technology, Bombay (IIT-B) | Mumbai | 18-23 |
Indian Institute of Technology, Madras (IIT-M) | Chennai | 16-21 |
International Institute of Information Technology, Hyderabad (IIIT-H) | Hyderabad | 12-18 |
Manipal Institute of Technology (MIT) | Manipal | 8-12 |
Birla Institute of Technology and Science, Pilani (BITS Pilani) | Pilani | 10-15 |
Specialization | Average Salary (INR LPA) |
---|---|
Machine Learning Engineer | 8-15 |
Data Scientist | 7-13 |
Computer Vision Engineer | 9-14 |
Natural Language Processing Engineer | 8-12 |
Research Scientist | 10-18 |