Artificial Intelligence (AI) is a branch of computer science that focuses on developing systems capable of performing tasks that typically require human intelligence—such as learning, reasoning, problem-solving, speech recognition, vision, and decision-making. AI programs are available at the undergraduate (B.Tech/B.Sc) and postgraduate (M.Sc/M.Tech) levels.
Artificial Intelligence (AI)** is a rapidly growing field of computer science focused on building machines and software that can perform tasks requiring human-like intelligence. These tasks include learning, problem-solving, decision-making, speech recognition, visual perception, and language translation.
AI is offered as part of various academic programs such as:
B.Tech in AI & Machine Learning (AI-ML)
B.Sc in Artificial Intelligence
M.Sc in Artificial Intelligence
M.Tech in Artificial Intelligence
PG Diploma and Certificate Courses
Educational Qualification:
Must have completed 10+2 (Science stream) from a recognized board
Subjects required: Mathematics and Physics (Chemistry or Computer Science may also be required)
Minimum Marks:
Typically 50% – 60% aggregate in 12th grade
Relaxation may be applicable for reserved categories (as per government norms)
Entrance Exams (for B.Tech):
JEE Main (for NITs, IIITs)
State CETs (like MHT-CET, KCET, WBJEE)
University-level exams (like VITEEE, SRMJEEE, etc.)
Educational Qualification:
Bachelor’s degree in a relevant field:
B.Sc in Computer Science, IT, Statistics, or Mathematics
B.Tech / B.E. in Computer Science, IT, or Electronics
Minimum Marks:
50% – 60% aggregate in the undergraduate program
Entrance Exams (if applicable):
CUET-PG, GATE (for M.Tech), or university-specific entrance exams
| Course | Duration |
|---|---|
| B.Tech in AI | 4 years |
| B.Sc in AI | 3 years |
| M.Tech / M.Sc in AI | 2 years |
| PG Diploma | 6–12 months |
Introduction to Artificial Intelligence
Programming in Python, R, Java
Data Structures and Algorithms
Machine Learning
Deep Learning (Neural Networks)
Natural Language Processing (NLP)
Computer Vision
Robotics and Automation
Big Data & Cloud Computing
Data Analytics and Visualization
AI Ethics and Law
Capstone Projects and Internships
Building and training ML models
Analyzing large datasets
Writing algorithms
Working with tools like TensorFlow, PyTorch
Deploying AI systems in real-world environments
Research and innovation in smart technologies
AI Engineer
Machine Learning Engineer
Data Scientist / Analyst
Computer Vision Engineer
Robotics Engineer
NLP Engineer
AI Researcher
Automation Engineer
Business Intelligence Developer
Entry Level: ₹5 – ₹10 LPA
Experienced Professionals: ₹12 – ₹30+ LPA
Salaries vary depending on skills, location, and company
Microsoft
Amazon
IBM
TCS
Infosys
Wipro
Accenture
Nvidia
Startups in AI, Robotics, and FinTech sectors
Ph.D. in Artificial Intelligence / Machine Learning
Advanced Certifications:
Google AI/ML Certifications
Microsoft Azure AI Engineer Associate
IBM AI Engineering
Coursera (Stanford AI, Deep Learning Specialization)
