The study of technology that enable humans to program machines in a way that they think and act like humans and develop abilities to learn from experience is known as B. Tech artificial intelligence and data science. AI is a subfield of computer science. There are many courses offered by top private engineering colleges in Delhi including B. Tech artificial intelligence and Data Science, B. Tech artificial intelligence and machine learning, etc.
In order to use machines and computers to mimic the capabilities of the human mind's decision-making and problem-solving processes, data science tactics combined with actual data from the real world are employed. Due to this, B. Tech artificial intelligence syllabus accepted by AICTE and offered by the top 10 private engineering colleges in Delhi NCR includes data science and machine learning as sub-branches of AI studies.
In their ground-breaking book Artificial Intelligence: A Modern Approach, authors Stuart Russell and Peter Norvig reviewed and investigated four distinct methods that have defined B. Tech artificial intelligence syllabus and subjects.
· Thinking humanly
· Thinking rationally
· Acting humanly
· Acting rationally
Courses in Artificial Intelligence
One of the most popular branches of Computer Science engineering with a focus on AI is B. Tech Artificial Intelligence and Data Science. Nowadays, every student wants to improve their artificial intelligence abilities because it has been proven to be quite helpful in enhancing their employment prospects.
You can enroll in the following artificial intelligence courses.
Course
|
Type of Course
|
Institution / Organization
|
Advanced Certification in Data Science and AI by IIT Madras
|
Training and Certification
|
IIT Madras
|
B. Tech / B.E. (CSE) in Artificial Intelligence
|
Undergraduate Degree
|
IIIT, Delhi
|
B. Tech Artificial Intelligence and Machine Learning
|
Undergraduate Degree
|
Manipal Institute of Technology
|
B. Tech Artificial Intelligence and Data Science
|
Undergraduate Degree
|
IIT, Delhi
|
PG Certification in Data Science and Machine Learning
|
Post Graduate Certification
|
MNIT Jaipur
|
PG Diploma in AI
|
Post Graduate Diploma
|
CDAC (Centre for Development of Advanced Computing)
|
PG Diploma in Computer Science and Artificial Intelligence
|
Post Graduate Diploma
|
IIIT, Delhi
|
PG Diploma in Machine Learning and Artificial Intelligence
|
Post Graduate Diploma
|
IIIT, Bangalore
|
AI and ML PG Certification Program
|
Post Graduate Certification
|
BITS Pilani
|
Masters Course in Artificial Intelligence
|
Master’s Course
|
|
In addition to the courses described above, many B. Tech and M. Tech programs in computer science also include a variety of topics linked to artificial intelligence and data science in their curricula.
Let's study about the common topics covered in the B. Tech artificial intelligence syllabus given that this is the most popular of all AI courses available.
Topics and Subjects in B. Tech Artificial Intelligence Syllabus
UG programs including B. Tech in artificial intelligence and Data Science/Machine Learning that we discussed are offered by a variety of top private engineering colleges in Delhi. Depending on which B. Tech program you're taking and the institution or university you're attending, the specific curriculum will always vary, but each of these courses focuses on the same general concepts.
These programs are structured to provide an overview of artificial intelligence and its sub-branches. Among these and other subjects are:
· Introduction to Python
· Machine Learning Concepts
· Supervised Learning
· Unsupervised Learning
· Applied Statistics
· Natural Language Processing
· Face Detection
· Sentiment Analyzer
· Reinforcement Learning
· Object Detection
· Tensor Flow and Neural Network
· Motion Analysis and Object Tracking
Curriculum for B. Tech Artificial Intelligence and Data Science
Semester-1
|
Sr. No.
|
Subjects to Study
|
1
|
Computer Organization and Architecture
|
2
|
Ethics in Information Technology
|
3
|
Mathematical Foundations of Computing
|
4
|
Programming for Problem-Solving
|
Semester-2
|
1
|
Calculus, Vector Spaces, and Laplace Transform
|
2
|
Concepts of Entrepreneurship
|
3
|
Digital System Design
|
4
|
Internet of Things
|
5
|
Microprocessor and Microcontroller
|
6
|
Python Programming
|
7
|
Practical
Digital System Design Lab
Microprocessor and Microcontroller Lab
|
Semester-3
|
1
|
Data Structures and Algorithms
|
2
|
Entrepreneurship and Product Development
|
3
|
Object-Oriented Programming
|
4
|
Partial Differential Equations, Probability, and Statistics
|
5
|
Software Engineering
|
Semester-4
|
1
|
Computer Networks
|
2
|
Discrete Structure
|
3
|
Design and Analysis of Algorithms
|
4
|
Operating Systems
|
5
|
Mini Project / Summer Internship-I
|
Semester-5
|
1
|
Database Management System
|
2
|
Introduction to Data Science
|
3
|
Optimization Methodologies
|
4
|
Theory of Computation
|
5
|
Web Technology
|
Semester-6
|
1
|
Distributed Computing
|
2
|
Embedded Systems
|
3
|
Machine Learning Techniques
|
4
|
System Software and Compiler Design
|
5
|
Mini Project / Summer Internship - II
|
Semester-7
|
1
|
Cryptography and Network Security
|
Semester-8
|
1
|
Core Product Development
|
Popular Colleges for B. Tech Artificial Intelligence and Data Science
· ICFAI Faculty of Science, Hyderabad
· KCG College of Technology, Tamil Nadu
· KL College of Engineering, Andhra Pradesh
· VIT, Pune
Course Suitability for the B. Tech in Artificial Intelligence and Data Science
This course is appropriate for those who want to develop cross-disciplinary skills in areas including statistics, computer science, machine learning and logic, and data science.
What are the benefits of B. Tech Artificial Intelligence and Data Science?
You will get the opportunity to learn about the revolutionary potential of artificial intelligence and apply it to address problems in the real world.
Aspirants are equipped with statistical, mathematical reasoning, machine learning, visualization skills, and information discovery through the AI & Data Science course.
B. Tech Artificial Intelligence and Machine Learning courses
We could draw the conclusion that the Machine Learning Course Syllabus for B. Tech AI and ML UG program typically follows the same pattern after looking at the course syllabi of B. Tech AI and DS. Let's try to grasp that.
Foundation
· Python for AI & ML
· Applied Statistics
Machine Learning
· Supervised Learning
· Unsupervised Learning
· Ensemble Techniques
· Featurization, Model Selection & Tuning
· Recommendation Systems
Artificial Intelligence
· Introduction to Neural Networks and Deep Learning
· Computer Vision
· Natural Language Processing
Data Science
· Data Structure
· Algorithm
· Data mining
· Deep learning
· Business intelligence
· Statistics
Additional Modules
· EDA
· Time Series Forecasting
· Pre Work for Deep Learning
· Model Deployment
· Visualization using Tensor board
· GANs (Generative Adversarial Networks)
· Reinforcement Learning
You can pursue an 8 semester long B. Tech course with focus on Artificial intelligence. The subjects you will study will be similar in many cases. Like this one.
Semester 1
|
Semester 2
|
Object Oriented Programming With C++
|
Soft Skills
|
English Language and Communication Skills
|
Programming in JAVA
|
Data Structures and Algorithms
|
Basic Internet Laboratory
|
Discrete Mathematics
|
Applied Mathematics
|
Environmental Studies
|
Human Resources and Rights
|
Semester 3
|
Semester 4
|
Programming in Python
|
AI and Knowledge Representation
|
Fuzzy Logic and Neural Networks
|
Introduction to Machine Learning
|
Design and Analysis of Algorithms
|
Programming in R
|
Introduction to Internet of Things
|
Skill Based Project Work
|
Language Elective
|
Major Elective
|
Semester 5
|
Semester 6
|
Machine Learning Techniques
|
Embedded Systems
|
Ethical Hacking
|
Natural Language Processing
|
Deep Learning
|
Artificial Neural Networks
|
Data Analytics Techniques
|
Machine Learning Live Project
|
Books recommended for B. Tech artificial intelligence syllabus
A list of books that students obtaining a bachelor's degree in artificial intelligence may find beneficial is provided below.
Book
|
Author(s)
|
Data Structures
|
Ellis Horowitz, Sartaj Shani
|
Discrete Mathematics and its Applications
|
Kenneth H. Rosen
|
Python the Complete Reference
|
Martin C. Brown
|
Artificial Intelligence: A Systems Approach
|
S. Russell, P. Norvig
|
A Hundred page Machine Learning Book
|
Andriya Burkov
|
Neural Networks and Fuzzy Systems
|
Kosko
|
Machine Learning: The art and Science of Algorithms that make sense of Data
|
Peter Flach
|
Artificial Intelligence: A modern Approach
|
Stuart J. Russell and Peter Norwig
|
Conclusion
B. Tech artificial intelligence syllabus vary from college to college but the fundamentals are the same for everyone. To get admission in top 10 private engineering colleges in Delhi NCR to study B. Tech in Artificial Intelligence and Data Science, all aspirants must clear JEE Mains or CUET exams to qualify. They must also score above 60% in 12th class from science stream from a recognized board. Make sure to check which private engineering colleges in Delhi are best for you before enrolling.