
BTech in Artificial Intelligence – BTech Artificial Intelligence Subjects, BTech Artificial Intelligence Salary, and BTech Artificial Intelligence Colleges

UniversityChalo Team
Akansha Negi Content CuratorA Bachelor of Technology (BTech) in Artificial Intelligence (AI) is an undergraduate engineering program designed to equip students with a solid foundation in computer science, machine learning, data analysis, and intelligent systems.
This four-year course is tailored to meet the increasing demand for professionals skilled in AI technologies that are transforming industries worldwide—from healthcare and finance to robotics and autonomous systems.
The popular entrance examinations for BTech AI courses are JEE Main, JEE Advance, WBJEE, MHT CET, KCET, AP EAMCET, TS EAMCET, and GUJCET. The BTech Artificial Intelligence colleges in India are –
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IIT Hyderabad
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NIT Warangal
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NIT Trichy
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IIIT Hyderabad
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IIIT Delhi
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BITS Pilani (Goa/Hyderabad)
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VIT Vellore
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SRM
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Manipal
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Shiv Nadar University
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UPES
Curriculum
The BTech in AI curriculum typically blends core BTech Artificial Intelligence subjects of computer science with specialized AI-focused modules. Students begin with foundational topics like mathematics, programming, data structures, algorithms, and computer architecture. As they progress, they delve into advanced areas such as:
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Machine Learning (ML): Techniques for developing algorithms that can learn from and make decisions based on data.
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Deep Learning: A subset of ML focused on neural networks and large-scale data processing.
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Natural Language Processing (NLP): Teaching machines to understand and generate human language.
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Computer Vision: Enabling systems to interpret visual information.
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Robotics and Autonomous Systems: Designing AI for real-time decision-making in physical environments.
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Ethics and AI Governance: Understanding the societal implications and ethical concerns surrounding AI applications.
Project-based learning and lab sessions are integral to the program, providing hands-on experience with tools like Python, TensorFlow, Keras, OpenCV, and cloud platforms. Many programs also include internships, research projects, and industry collaborations to prepare students for real-world challenges.
Skills and Learning Outcomes
Graduates of BTech in AI are expected to have a wide range of technical and analytical skills, including:
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Proficiency in AI algorithms and statistical models.
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Strong programming abilities in Python, R, or Java.
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Capability to work with large datasets using tools like Pandas, NumPy, and SQL.
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Familiarity with software development methodologies and version control systems.
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Ability to design, test, and deploy AI-driven applications.
In addition, students are trained in problem-solving, critical thinking, and effective communication—key skills for success in dynamic work environments.
Career Opportunities
As AI continues to shape the future, graduates have diverse and lucrative career options. Some of the roles they can pursue include:
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Machine Learning Engineer
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Data Scientist
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AI Research Scientist
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Business Intelligence Developer
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Robotics Engineer
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NLP Engineer
They can find opportunities in top tech companies, research institutions, startups, healthcare, finance, education, and government sectors.
Moreover, the BTech in AI also provides a strong foundation for pursuing higher studies such as MTech, MS, or PhD in AI, data science, or related fields. The BTech Artificial Intelligence salary in India is ₹6 to ₹12 LPA.
Table of Content
BTech AI Highlights |
BTech AI Eligibility Criteria |
BTech AI Entrance Examinations |
BTech AI Admission Procedure |
BTech Artificial Intelligence Colleges/ Universities in India |
BTech AI Syllabus |
BTech AI Course Fees |
BTech AI Career Prospects |
BTech Artificial Intelligence Salary in India |
BTech AI Top Recruiters |
FAQs about BTech AI Course |
BTech AI Highlights
Specialisations |
Details |
Course Name |
BTech AI |
Full Form |
Bachelor of Technology (BTech) in Artificial Intelligence (AI) |
Course Duration |
4 Years |
Level of Course |
Undergraduate |
Type of Course |
Degree |
Eligibility |
10+2 with PCM |
BTech Artificial Intelligence Subjects |
BTech Artificial Intelligence Subjects include Engineering Mathematics, Engineering Physics / Chemistry, Programming, Basic Electrical & Electronics Engineering, Reinforcement Learning, Computer Vision, Cloud Computing / Big Data Analytics, Internet of Things (IoT), etc. |
Entrance Examinations |
JEE Main, JEE Advance, WBJEE, MHT CET, KCET, AP EAMCET, TS EAMCET, GUJCET |
Admission Basis |
Entrance |
BTech Artificial Intelligence Colleges in India |
|
BTech AI Fees |
₹1 – ₹5 lakh annually |
BTech Artificial Intelligence Salary in India |
₹6 to ₹12 LPA |
BTech CS Career Prospects |
|
Top Recruiters |
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BTech AI Eligibility Criteria
Here’s a detailed overview of the eligibility criteria for BTech in Artificial Intelligence (AI) in India (also applicable in similar format globally):
BTech in Artificial Intelligence – Eligibility Criteria
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Academic Qualification
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Must have passed 10+2 (or equivalent) from a recognized board.
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Subjects in 12th:
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Physics
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Mathematics
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Chemistry or Computer Science (depending on institute)
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Minimum Marks:
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Typically 50% – 60% aggregate in PCM (varies by college)
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Reserved category candidates may get 5% relaxation
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Entrance Exams
Admission is mostly through national/state-level engineering entrance exams. Common ones include:
Entrance Exam |
Institutes Accepting |
JEE Main |
NITs, IIITs, GFTIs, top private colleges |
JEE Advanced |
IITs (like IIT Hyderabad offers AI) |
State-level Exams |
MHT-CET, KCET, WBJEE, etc. |
Private Exams |
VITEEE, SRMJEEE, BITSAT, etc. |
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Age Limit
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Generally, candidates should be 17–25 years old (depending on the board/university regulations)
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Most institutes do not enforce a strict upper age limit, but check for specific ones like IITs
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Lateral Entry (Direct 2nd Year)
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Diploma holders (3-year diploma in Engineering/IT/Computer Science) may be eligible for lateral entry into 2nd year.
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Must have 60%+ in diploma (check state rules like LEET, JEECUP, etc.)
Summary Table
Criteria |
Requirement |
Qualification |
10+2 with PCM |
Min. Marks |
50–60% (general), relaxable |
Entrance |
JEE Main / Advanced / State / Private exams |
Age |
17–25 years typically |
Lateral Entry |
Through diploma (varies by state/university) |
BTech AI Entrance Examinations
Here's a detailed list of the entrance examinations for admission into BTech in Artificial Intelligence (AI) programs in India. These exams are used by IITs, NITs, IIITs, and top private universities.
Entrance Exams for BTech in Artificial Intelligence
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JEE Main (Joint Entrance Examination – Main)
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Conducted by: NTA (National Testing Agency)
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For Admission to:
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NITs, IIITs, GFTIs
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Some private universities (e.g., Jaypee, LNMIIT)
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Eligibility: 10+2 with Physics & Math
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Frequency: Twice a year (January & April)
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Mode: Computer-Based Test (CBT)
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Subjects Tested: Physics, Chemistry, Mathematics
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JEE Advanced
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Conducted by: IITs (rotational basis)
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For Admission to:
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IIT Hyderabad, IIT Jodhpur, and others offering AI/ML specializations
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Eligibility: Top 2.5 lakh JEE Main rankers
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Mode: Online
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Highly competitive: Needed for BTech in AI & Data Science at IIT Hyderabad
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State-Level Entrance Exams
These are accepted by state engineering colleges and some private universities in the respective states.
Exam |
States Covered |
WBJEE |
West Bengal |
MHT CET |
Maharashtra |
KCET |
Karnataka |
AP EAMCET / TS EAMCET |
Andhra Pradesh & Telangana |
GUJCET |
Gujarat |
UPSEE (Now part of JEE Main) |
Uttar Pradesh |
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University-Specific Private Exams
Top private universities conduct their own entrance exams for AI-focused BTech programs.
Exam |
University |
BITSAT |
BITS Pilani (AI in Hyderabad/Goa campuses) |
VITEEE |
VIT Vellore (BTech in AI & Data Science) |
SRMJEEE |
SRM University |
LPUNEST |
Lovely Professional University |
Shiv Nadar University Aptitude Test |
Shiv Nadar University |
Amrita Entrance Exam (AEEE) |
Amrita Vishwa Vidyapeetham |
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CUET-UG (For Central Universities)
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Some newer Central Universities offer AI/Data Science courses
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CUET-UG is used for admission
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Subjects: PCM + General Aptitude
Some private colleges also offer direct admission based on:
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JEE Main scores
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12th board marks (usually above 75%)
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Internal entrance or interview
Want to target AI at IITs?
You’ll need to clear:
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JEE Main (Top 2.5 lakh)
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JEE Advanced (with high rank)
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Aim for IIT Hyderabad – pioneer in BTech AI in India
BTech AI Admission Procedure
Here’s a detailed step-by-step guide to the BTech Artificial Intelligence (AI) admission procedure in India. This includes everything from eligibility to entrance exams, counseling, and final admission.
BTech Artificial Intelligence Admission Procedure
Step 1: Meet the Eligibility Criteria
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Complete 10+2 or equivalent from a recognized board.
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Subjects: Physics + Mathematics + (Chemistry/Computer Science/Biology)
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Minimum Marks:
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General: 50% – 60% aggregate (in PCM or PCMCS)
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Relaxation for reserved categories as per norms
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Step 2: Appear for an Entrance Exam
Exam |
For Admission Into |
JEE Main |
NITs, IIITs, GFTIs, top private colleges |
JEE Advanced |
IITs like IIT Hyderabad, IIT Jodhpur (AI specializations) |
State-Level Exams |
MHT-CET, WBJEE, KCET, etc. |
Private University Exams |
VITEEE, BITSAT, SRMJEEE, LPUNEST, etc. |
Note: Some universities may offer direct admission based on board marks (e.g. Shiv Nadar, UPES, Jain University, etc.)
Step 3: Register for Counseling or Apply to Universities
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JEE Main route:
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Register for JoSAA Counseling (for NITs, IIITs)
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Fill in choices (AI programs are usually under "CSE with AI" or “BTech AI & DS”)
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Seat allotment happens in rounds
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State Exams:
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Register for state-level counseling (MHT CET CAP, WBJEE counseling, etc.)
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Private Universities:
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Apply directly via their websites
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Appear for entrance test (if applicable)
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Attend interview/counseling (in some cases)
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Step 4: Document Verification
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Typical documents needed:
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10th & 12th Mark Sheets and Certificates
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JEE/Entrance Exam Score Card
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ID Proof (Aadhaar, Passport, etc.)
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Passport-size photos
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Category Certificate (if applicable)
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Domicile Certificate (for state quota)
Step 5: Pay Fees and Confirm Admission
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Once seat is allotted and documents are verified:
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Pay the admission/seat confirmation fee
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Join as per academic schedule
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Institutes Offering BTech in AI
Institute |
Admission Mode |
IIT Hyderabad |
JEE Advanced |
NIT Warangal / NIT Trichy |
JEE Main + JoSAA |
IIIT Hyderabad / IIIT Delhi |
JEE Main / UGEE / DASA |
BITS Pilani (Goa/Hyderabad) |
BITSAT |
VIT Vellore / SRM / Manipal |
Respective entrance exams |
Shiv Nadar University / UPES |
Own entrance or direct |
Summary Table
Step |
Description |
Step 1 |
Check eligibility (PCM, 50–60%) |
Step 2 |
Take entrance exam (JEE/State/Private) |
Step 3 |
Register for counseling or direct apply |
Step 4 |
Submit documents |
Step 5 |
Pay fees and confirm seat |
BTech Artificial Intelligence Colleges/ Universities in India
Here’s a curated list of top colleges and universities in India offering BTech in Artificial Intelligence (AI) or closely related programs like AI & Machine Learning (AI & ML) and AI & Data Science.
BTech Artificial Intelligence Colleges in India
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Indian Institutes of Technology (IITs)
BTech Artificial Intelligence College |
Course Name |
Admission |
IIT Hyderabad |
BTech in Artificial Intelligence |
JEE Advanced |
IIT Jodhpur |
BTech in AI & Data Science |
JEE Advanced |
IIT Hyderabad was the first IIT to launch a full-fledged BTech in AI.
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National Institutes of Technology (NITs)
BTech Artificial Intelligence College |
Course Name |
Admission |
NIT Warangal |
BTech in AI & ML |
JEE Main + JoSAA |
NIT Trichy |
BTech in CSE with AI Specialization |
JEE Main + JoSAA |
NIT Surathkal |
AI Specializations in CSE |
JEE Main + JoSAA |
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Indian Institutes of Information Technology (IIITs)
BTech Artificial Intelligence College |
Course |
Admission |
IIIT Hyderabad |
BTech in CSE + Research in AI |
JEE / UGEE / DASA |
IIIT Delhi |
BTech in CS + AI |
JEE Main + Delhi State Quota |
IIIT Bangalore (via iMTech) |
Integrated MTech with AI focus |
JEE Main |
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Deemed/Private Universities (Top Tier)
BTech Artificial Intelligence College |
Course |
Admission |
BITS Pilani (Goa & Hyderabad) |
BTech in AI |
BITSAT |
VIT Vellore / Chennai |
BTech in AI & DS |
VITEEE |
SRM Institute of Science & Tech |
BTech in AI & ML / AI & DS |
SRMJEEE |
Amrita Vishwa Vidyapeetham |
BTech in AI & DS |
AEEE / JEE |
Shiv Nadar University |
BTech in AI & Data Science |
Aptitude Test / JEE Main |
UPES, Dehradun |
BTech in AI & ML / AI & DS |
JEE / UPESEAT |
Manipal Institute of Technology |
BTech in AI |
MET (Manipal Entrance) |
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State Government & Central Universities
BTech Artificial Intelligence College |
Course |
Admission |
Jamia Millia Islamia (JMI), Delhi |
BTech in AI & DS |
JEE Main |
University of Hyderabad (CU) |
Integrated MTech AI |
CUET / JEE |
DTU (Delhi Technological University) |
BTech in AI |
JAC Delhi (JEE Main) |
NSUT (Netaji Subhas University of Technology) |
BTech in AI & DS |
JAC Delhi |
PES University (Bangalore) |
BTech in AI & ML |
PESSAT |
BTech Artificial Intelligence Colleges with Strong AI Courses
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IIIT Naya Raipur
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IIIT Pune
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REVA University (Bangalore)
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Jain University (Bangalore)
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Lovely Professional University (LPU)
Tips for Choosing the Right College:
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AI-specific labs and faculty
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Curriculum flexibility (AI + DS, AI + ML)
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Industry collaborations (e.g., IBM, Google AI)
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Placement records in AI-focused roles
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Research opportunities (NLP, CV, Deep Learning)
BTech AI Syllabus
Here’s a semester-wise breakdown of the typical BTech in Artificial Intelligence (AI) syllabus in India. The structure is based on UGC/AICTE guidelines and followed by top institutes like IITs, NITs, IIITs, and leading private universities (e.g., VIT, SRM, BITS).
BTech Artificial Intelligence Syllabus
Semester |
BTech Artificial Intelligence Subjects |
BTech Artificial Intelligence Subjects Semester 1 |
|
BTech Artificial Intelligence Subjects Semester 2 |
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BTech Artificial Intelligence Subjects Semester 3 |
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BTech Artificial Intelligence Subjects Semester 4 |
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BTech Artificial Intelligence Subjects Semester 5 |
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BTech Artificial Intelligence Subjects Semester 6 |
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BTech Artificial Intelligence Subjects Semester 7 |
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BTech Artificial Intelligence Subjects Semester 8 |
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Key Electives (Vary by Institute)
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Robotics & Automation
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Generative Adversarial Networks (GANs)
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AI in Cybersecurity
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AI in Bioinformatics
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Blockchain & AI
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Quantum Computing
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Fuzzy Logic Systems
Tools & Technologies Taught
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Python, R, Java
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TensorFlow, PyTorch, Keras
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SQL, MongoDB
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Hadoop, Spark
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OpenCV, NLTK, Scikit-learn
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Git, Docker, Kubernetes (for AI deployment)
BTech AI Course Fees
Here's a comprehensive breakdown of the BTech Artificial Intelligence course fees in India, covering top IITs, NITs, IIITs, and private universities. Fees vary widely depending on the institute type (government vs private) and whether the college is autonomous or affiliated.
BTech Artificial Intelligence Course Fees (2025 Approximate)
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IITs (e.g., IIT Hyderabad, IIT Jodhpur)
Institute |
Fees per Year |
Total (4 Years) |
IIT Hyderabad |
₹2.2 – ₹2.5 lakhs |
₹9 – ₹10 lakhs |
IIT Jodhpur |
₹2 – ₹2.2 lakhs |
₹8 – ₹9 lakhs |
Includes tuition, hostel, and some academic fees. SC/ST students often get fee waivers or scholarships.
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NITs & IIITs
Institute |
Fees per Year |
Total (4 Years) |
NIT Warangal / Trichy |
₹1.5 – ₹2 lakhs |
₹6 – ₹8 lakhs |
IIIT Hyderabad |
₹3 – ₹3.5 lakhs |
₹12 – ₹14 lakhs |
IIIT Delhi (AI Program) |
₹2.5 – ₹3 lakhs |
₹10 – ₹12 lakhs |
IIIT Bangalore (integrated MTech) |
₹2.5 – ₹3 lakhs |
₹12 – ₹15 lakhs (for 5-year course) |
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Top Private Universities
University |
Fees per Year |
Total (4 Years) |
BITS Pilani (Goa/Hyderabad) |
₹2.5 – ₹3 lakhs |
₹10 – ₹12 lakhs |
VIT Vellore / Chennai |
₹1.9 – ₹2.5 lakhs |
₹7.5 – ₹10 lakhs |
SRM Institute of Science & Tech |
₹2 – ₹2.5 lakhs |
₹8 – ₹10 lakhs |
Shiv Nadar University |
₹3 – ₹3.5 lakhs |
₹12 – ₹14 lakhs |
UPES Dehradun |
₹2.7 – ₹3 lakhs |
₹10 – ₹12 lakhs |
Manipal Institute of Technology |
₹3 – ₹3.5 lakhs |
₹12 – ₹14 lakhs |
Amrita Vishwa Vidyapeetham |
₹2 – ₹2.5 lakhs |
₹8 – ₹10 lakhs |
Jain University / REVA / LPU |
₹1.5 – ₹2 lakhs |
₹6 – ₹8 lakhs |
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Government/State Universities (Affordable Options)
University |
Approx. Fees (Total) |
Jamia Millia Islamia (JMI) |
₹20,000 – ₹25,000/year (₹80k – ₹1L total) |
DTU / NSUT (Delhi Govt.) |
₹1.9 – ₹2.1 lakhs/year (₹8+ lakhs total) |
Mumbai / Pune / Anna University (via CET) |
₹1 – ₹1.5 lakhs/year |
CUET-based Central Universities |
₹50k – ₹1 lakh/year |
Scholarships & Financial Aid
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IITs/NITs: Merit-cum-Means, SC/ST/EWS fee waivers
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Private Universities: Scholarships based on entrance ranks, sports, or board marks
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Education Loans: Available through all major banks under government schemes
Summary Table
Type of Institute |
Average Annual Fee |
4-Year Total |
IITs |
₹2 – ₹2.5 lakhs |
₹8 – ₹10 lakhs |
NITs/IIITs |
₹1.5 – ₹3 lakhs |
₹6 – ₹12 lakhs |
Private Tier-1 |
₹2 – ₹3.5 lakhs |
₹8 – ₹14 lakhs |
Govt. Universities |
₹25k – ₹1.5 lakhs |
₹1 – ₹4 lakhs |
BTech AI Career Prospects
A BTech in Artificial Intelligence (AI) opens up a wide range of career prospects in one of the fastest growing and most impactful fields in the world today. Graduates can pursue core technical roles such as Machine Learning Engineer, AI Engineer, Data Scientist, NLP Engineer, or Computer Vision Engineer. These professionals work on building intelligent systems that can learn from data, make decisions, and mimic human intelligence.
Overall, a BTech in AI equips graduates with both theoretical foundations and practical tools to build innovative solutions, opening doors to cutting-edge careers not just in India but globally. With continuous upskilling and real-world project exposure, AI graduates can shape the future across sectors—from self-driving cars and healthcare diagnostics to smart assistants and financial forecasting.
Here's a complete guide to the career prospects after BTech in Artificial Intelligence (AI) including job roles, industries, salary expectations, and growth opportunities.
Career Prospects After BTech in Artificial Intelligence
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Core AI/ML Job Roles
Job Title |
Description |
Machine Learning Engineer |
Develops algorithms that allow systems to learn and improve from experience |
Data Scientist |
Extracts insights from large datasets using AI/ML techniques |
AI Engineer |
Designs AI models for applications like NLP, CV, recommendation systems |
Deep Learning Engineer |
Specializes in neural networks and frameworks like TensorFlow, PyTorch |
NLP Engineer |
Works on speech recognition, chatbots, sentiment analysis, etc. |
Computer Vision Engineer |
Builds image recognition, video analysis, and object detection systems |
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Emerging & Hybrid Roles
Role |
Domain |
AI Research Associate |
R&D labs, advanced projects, publications |
Business Intelligence Developer |
AI in business decision-making |
Data Engineer |
Prepares and manages data pipelines for ML models |
MLOps Engineer |
Focuses on AI model deployment and lifecycle management |
AI Product Manager |
Bridges business with AI tech (needs product mindset + tech skills) |
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Top Industries Hiring AI Graduates
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Tech & IT: Google, Microsoft, Amazon, TCS, Infosys, Wipro, IBM, Accenture
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Finance & FinTech: JPMorgan, Goldman Sachs, Zerodha, Paytm, Razorpay
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Healthcare: AI in diagnostics, drug discovery (Philips, Siemens Healthineers)
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Automotive: AI for self-driving, automation (Tesla, Tata Motors, Bosch)
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E-commerce: Recommendation systems (Flipkart, Amazon, Meesho)
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Startups: Tons of AI startups in NLP, robotics, edtech, Healthtech
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Salary Expectations
Experience Level |
Job Title |
Salary Range |
Fresher |
AI/ML Engineer |
₹6 – ₹12 LPA |
2–3 Years |
Data Scientist / NLP Engineer |
₹10 – ₹18 LPA |
5+ Years |
AI Researcher / MLOps Lead |
₹20 – ₹40+ LPA |
Startup Roles |
ML Engineer (Early-stage) |
₹8 – ₹15 LPA (ESOPs possible) |
Top IIT/NIT grads can land CTC of ₹20–30 LPA at companies like Google, Amazon, or startups like Ola Electric, Meesho, etc.
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Higher Studies / Certifications
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MTech/MS in AI/ML (India: IITs, IISc | Abroad: MIT, Stanford, etc.)
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MBA with Tech Focus – Product Management or AI+Business
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Certifications:
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Google TensorFlow Developer
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IBM AI Engineering
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AWS Certified ML Engineer
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DeepLearning.ai (Coursera)
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Global Career Opportunities
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AI is a global field with high demand in:
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USA, Canada, Germany, UK, Australia, Singapore
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Companies look for skilled engineers with:
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Projects, internships, and GitHub contributions
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Knowledge of ML, cloud, and AI frameworks
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Skills That Matter
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Languages: Python, R, SQL
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Libraries: TensorFlow, Keras, Scikit-learn, PyTorch
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Tools: Docker, Git, Hadoop, Spark
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Concepts: Statistics, Linear Algebra, Neural Networks, NLP, CV
A BTech in AI offers:
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High-paying, in-demand roles
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Exposure to cutting-edge tech (like GPT, autonomous systems)
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Startup + research + corporate career flexibility
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Opportunities to work globally
BTech Artificial Intelligence Salary in India
The BTech in Artificial Intelligence (AI) salary in India can vary significantly based on factors such as educational background, skills, company, experience, and even location. However, due to the increasing demand for AI professionals across industries, the overall earning potential is among the highest in tech domains.
BTech Artificial Intelligence Salary in India
Experience Level |
Job Role |
Average Salary Range (INR/Year) |
Top Range (Product Companies/Startups) |
Fresher (0 - 1 year) |
AI/ML Engineer, Data Analyst, Junior Data Scientist |
₹6 – ₹12 LPA |
Up to ₹20 LPA (IITs, IIITs, top startups) |
2 - 3 years |
Machine Learning Engineer, NLP Engineer, Data Scientist |
₹10 – ₹18 LPA |
₹20–25 LPA |
4 - 6 years |
AI Specialist, Deep Learning Engineer, MLOps Engineer |
₹18 – ₹30 LPA |
₹35–40+ LPA |
7+ years |
AI Architect, Lead AI Engineer, Research Scientist |
₹30 – ₹45 LPA |
₹50+ LPA (leadership/research roles) |
Top Companies Hiring (India)
Type |
Companies |
Tech Giants |
Google, Amazon, Microsoft, IBM, NVIDIA, Meta |
Service-Based |
TCS, Infosys, Wipro, HCL, Accenture |
Product-Based |
Flipkart, Swiggy, Ola, Razorpay, Meesho |
Startups |
Yellow.ai, Fractal Analytics, SigTuple, Arya.ai |
FinTech/HealthTech |
Paytm, Zerodha, PharmEasy, Innovaccer |
Key Skills that impact BTech in Artificial Intelligence Salary
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Python, R, SQL
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TensorFlow, PyTorch, Scikit-learn
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Data Structures & Algorithms
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MLOps tools (Docker, Kubernetes, AWS)
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AI Project Portfolio (GitHub, Kaggle, Internships)
BTech AI Top Recruiters
Here’s a list of top recruiters for BTech Artificial Intelligence (AI) graduates in India, categorized by industry and type of organization. These companies hire for roles like AI Engineer, Machine Learning Engineer, Data Scientist, NLP Engineer, MLOps Engineer, and more.
Top Recruiters for BTech AI in India
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Global Tech Giants
Company |
Roles Offered |
|
AI Engineer, Research Scientist, NLP Expert |
Microsoft |
Data Scientist, Applied AI Engineer |
Amazon (AWS) |
ML Engineer, Data Analyst |
Meta (Facebook) |
Research Interns, AI Research Engineer |
IBM |
AI Developer, Data Scientist |
NVIDIA |
Deep Learning Engineer, AI Researcher |
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Indian IT & Tech Companies
Company |
Roles Offered |
TCS |
AI/ML Engineer, Cognitive Systems Developer |
Infosys |
Data Scientist, Automation Engineer |
Wipro |
AI Consultant, NLP Engineer |
HCL Technologies |
Data Analyst, AI Developer |
Tech Mahindra |
Computer Vision Engineer, ML Ops Engineer |
L&T Infotech |
Intelligent Automation Specialist |
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Product-Based Companies
Company |
Focus Areas |
Flipkart |
Recommendation Systems, Forecasting |
Swiggy / Zomato |
AI in logistics & demand prediction |
Razorpay / PhonePe |
Fraud detection, credit scoring models |
Ola / Ola Electric |
AI for autonomous systems, route optimization |
Meesho |
User behavior analytics, personalization |
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AI/ML Startups & Innovation Labs
Company |
Domain |
Fractal Analytics |
AI in analytics and decision sciences |
Arya.ai |
Autonomous AI platforms |
SigTuple |
AI in healthcare diagnostics |
Yellow.ai |
Conversational AI & chatbots |
Innovaccer |
HealthTech AI systems |
Mad Street Den |
Computer Vision & Retail AI |
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FinTech, HealthTech & Consulting
Company |
AI Use Case |
JPMorgan, Goldman Sachs |
Quantitative AI, risk modeling |
Accenture, Deloitte, EY |
AI consulting, enterprise AI deployment |
PharmEasy, NetMeds |
AI in prescription analysis & diagnostics |
Paytm, Zerodha |
AI-driven trading, recommendation, fraud analytics |
Key Hiring Criteria
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Strong command of Python, ML/DL frameworks (like TensorFlow, PyTorch)
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Knowledge of Data Structures & Algorithms
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Projects in NLP, Computer Vision, MLOps
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Participation in hackathons, internships, Kaggle competitions
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Good GitHub profile and portfolio
FAQs about BTech AI Course
Ques – What is BTech Artificial Intelligence?
Answer – BTech in Artificial Intelligence is a 4-year undergraduate program that focuses on the study and development of intelligent systems. It combines core concepts from computer science, machine learning, deep learning, data science, and robotics to equip students with the skills needed to design smart solutions for real-world challenges.
Ques – What is the duration of the BTech Artificial Intelligence course?
Answer – The BTech in Artificial Intelligence course is four years long and structured across eight semesters. Each academic year is divided into two semesters, allowing students to progressively build their knowledge and skills in AI and related technologies.
Ques – What are BTech Artificial Intelligence eligibility criteria?
Answer – To be eligible for BTech in Artificial Intelligence, candidates must have completed 10+2 with Physics, Chemistry, and Mathematics as core subjects. They should also qualify for entrance exams like JEE Main or other university-specific tests, depending on the institution's admission requirements.
Ques – Is BTech Artificial Intelligence a degree course?
Answer – Yes, BTech in Artificial Intelligence is a full-time undergraduate degree course. It awards a Bachelor of Technology (BTech) degree upon successful completion and is recognized by universities and technical institutions in India and abroad.
Ques – What are the entrance examinations for BTech Artificial Intelligence?
Answer – The entrance exams for BTech in Artificial Intelligence include JEE Main, JEE Advanced, state-level exams, and university-specific tests like BITSAT or VITEEE.
Ques – Which are the best BTech Artificial Intelligence colleges?
Answer – Some of the best BTech Artificial Intelligence colleges in India include:
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Indian Institute of Technology (IIT) Bombay
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Indian Institute of Technology (IIT) Delhi
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Indian Institute of Technology (IIT) Kanpur
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Indian Institute of Information Technology (IIIT) Hyderabad
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Birla Institute of Technology and Science (BITS) Pilani
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Vellore Institute of Technology (VIT) Vellore
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National Institute of Technology (NIT) Trichy
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University of Engineering and Management (UEM) Kolkata
Ques – Which BTech Artificial Intelligence subjects are taught in the first year of the course?
Answer – The BTech Artificial Intelligence subjects taught in the first year of the course are Engineering Mathematics, Engineering Physics / Chemistry, Programming for Problem Solving (Python/C++), Basic Electrical & Electronics Engineering, Environmental Studies, Communication Skills, Engineering Graphics / Workshop Practice, Data Structures and Algorithms, Digital Logic Design, Object-Oriented Programming (OOP – Java/C++), Operating Systems Basics, and Discrete Mathematics.
Ques – Which BTech Artificial Intelligence subjects are taught in the second year of the course?
Answer – The BTech Artificial Intelligence subjects taught in the second year of the course are Computer Organization & Architecture, Database Management Systems (DBMS), Design and Analysis of Algorithms (DAA), Artificial Intelligence – Fundamentals, Probability & Statistics, Machine Learning, Computer Networks, Software Engineering, Theory of Computation, and Linear Algebra for AI.
Ques – Which BTech Artificial Intelligence subjects are taught in the third year of the course?
Answer – The BTech Artificial Intelligence subjects taught in the third year of the course are Deep Learning, Natural Language Processing (NLP), Web & Mobile Application Development, Data Mining & Warehousing, Mini Project / Capstone I, Reinforcement Learning, Computer Vision, Cloud Computing / Big Data Analytics, and Internet of Things (IoT).
Ques – Which BTech Artificial Intelligence subjects are taught in the fourth year of the course?
Answer – The BTech Artificial Intelligence subjects taught in the fourth year of the course are Ethics in AI & AI Governance, Human-Computer Interaction, and AI System Deployment (DevOps, MLOps).
Ques – What is the admission procedure for the BTech Artificial Intelligence course?
Answer – The admission procedure for BTech in Artificial Intelligence typically involves the following steps:
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Eligibility Check: Ensure the candidate has completed 10+2 with Physics, Chemistry, and Mathematics.
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Entrance Exam: Appear for entrance exams like JEE Main, JEE Advanced, state-level exams, or university-specific tests.
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Counseling/Interview: Based on entrance exam scores, candidates may be called for counseling or interviews by the respective institutions.
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Final Admission: After selection, candidates need to submit documents and complete the admission formalities, including fee payment.
Ques – What is included in the BTech Artificial Intelligence syllabus?
Answer – The BTech in Artificial Intelligence syllabus typically includes the following subjects:
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Core Subjects:
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Mathematics: Calculus, Linear Algebra, Probability & Statistics
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Computer Science: Programming, Data Structures, Algorithms
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Artificial Intelligence: AI Fundamentals, Problem Solving, Search Algorithms
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Machine Learning: Supervised and Unsupervised Learning, Neural Networks
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Deep Learning: CNN, RNN, Natural Language Processing
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Data Science: Data Analysis, Big Data, Data Mining
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Electives:
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Robotics
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Computer Vision
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AI Ethics
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Reinforcement Learning
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Labs/Projects: Practical exposure to AI tools, frameworks, and real-world projects.
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Other Subjects: Digital Electronics, Microprocessors, Software Engineering, Database Management, Operating Systems.
Ques – What are BTech Artificial Intelligence fees in India?
Answer – The fees for BTech in Artificial Intelligence in India vary depending on the college and its location. On average, the fees range from ₹1 lakh to ₹2.5 lakhs per year. However, for top institutions like IITs and NITs, the fees may be higher, often ranging between ₹2.5 lakhs to ₹3 lakhs per year. Private universities like VIT, BITS, and others may charge higher fees, typically ranging from ₹3 lakhs to ₹5 lakhs per year.
Ques – What after BTech in Artificial Intelligence?
Answer – After completing a BTech in Artificial Intelligence, you have several career options:
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Higher Studies: You can pursue a master’s degree (MTech or MS) in AI, Machine Learning, Data Science, Robotics, or related fields for specialized knowledge.
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Job Opportunities: You can work in AI-related roles such as:
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Machine Learning Engineer
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Data Scientist
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AI Researcher
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AI Developer
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Robotics Engineer
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Data Analyst
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Computer Vision Engineer
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Startups and Entrepreneurship: You can launch your own AI-based startup or work in emerging AI fields like healthcare, finance, and automation.
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Certifications & Specializations: You can enhance your skills through certifications in AI, ML, and related technologies from platforms like Coursera, edX, or Udacity.
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PhD in AI: For those interested in research, pursuing a PhD in Artificial Intelligence can lead to advanced academic or research-based careers.
Ques – What is the salary of BTech in AI?
Answer – The salary for a BTech in Artificial Intelligence in India ranges from ₹6–10 lakhs per annum for entry-level roles, ₹12–20 lakhs for mid-level, and ₹20–35 lakhs for senior-level positions.
Ques – What are the jobs for BTech Artificial Intelligence in India?
Answer – After completing BTech in Artificial Intelligence, you can explore various job roles in India, including:
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Machine Learning Engineer
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Data Scientist
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AI Researcher
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AI Developer
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Robotics Engineer
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Computer Vision Engineer
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Natural Language Processing Engineer
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Data Analyst
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Business Intelligence Analyst
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AI Solutions Architect
These roles are available across industries such as IT, healthcare, finance, robotics, and automation.
Ques – Which are the top recruiters of BTech Artificial Intelligence graduates?
Answer – Top recruiters for BTech Artificial Intelligence graduates in India include leading technology companies such as Google, Amazon, Microsoft, and IBM, which actively hire AI talent for roles in machine learning, data science, and research. Other prominent firms like Accenture, Cognizant, and Tata Consultancy Services (TCS) also seek AI professionals to develop innovative solutions for various industries.
Additionally, AI-focused startups and companies like Flipkart, Ola, and Zest AI are known for hiring AI graduates to work on cutting-edge technologies. In the financial sector, companies like Goldman Sachs, JP Morgan, and HSBC also hire AI specialists for analytics and algorithm development. These organizations offer attractive salaries and growth opportunities, making them top choices for AI graduates.
Ques – What is the career scope after completing a BTech Artificial Intelligence degree?
Answer –After completing a BTech in Artificial Intelligence, career opportunities include roles in machine learning, data science, robotics, AI research, and computer vision across industries like IT, healthcare, finance, and e-commerce. AI professionals can also pursue higher studies, research positions, or leadership roles in tech companies, with a rapidly growing demand for skilled talent.
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