Artificial Intelligence Offering Colleges/Fees/Free certification courses.
Artificial intelligence also called AI is the future biggest and fastest-growing technology.
The preferred programming languages for AI projects include Python, Java, R, Prolog, Lisp.
If you are an Engineering student or completed your Intermediate then prefer to learn Python programming language.
Colleges for Artificial Intelligence in Hyderabad
S.No | College Name | Fees |
1 | Anurag University | 260500 |
2 | GRIET | 122000 |
3 | VNRVJIET | 131000 |
4 | Institute of Aeronautical Engineering | 67000 |
5 | KL University | 265000 |
6 | VCE | 125000 |
7 | IIT Hyderabad | 500895 |
8 | University of Hyderabad | 45870 |
9 | MALLA Reddy Engineering college | 103000 |
10 | MLR Institute of Technology | 96000 |
Other Colleges Providing AI in India
S.No | College Name | Fees |
1 | Hindustan Institute of Technology and Science | 125500 |
2 | CVR College of Engineering | 72500 |
3 | JNTUA College of Engineering | 58750 |
4 | SRM Engineering College | 260000 |
5 | Indraprastha Institute of Information Technology | 475000 |
6 | Mukesh Patel School of Technology Management and engineering | 501500 |
7 | Defense Institute of Advanced Technology | 145000 |
8 | Jawaharlal Nehru Technological University | 100000 |
9 | NIT Hamirpur | 94100 |
Artificial Intelligence Courses Syllabus
Every college may not have the same syllabus but it will be similar.
S.NO | First Semester |
| SUBJECT |
1 | Engineering Mathematics I |
2 | Engineering Physics |
3 | English Language Skills for Communication – I |
4 | Electronics Engineering |
5 | Python Programming |
| PRACTICALS |
1 | Engineering Physics Lab |
2 | English Language Lab – I |
3 | Electronics Lab I |
4 | Engineering Drawing Lab |
5 | Python Programming Lab |
S.NO | Second Semester |
| SUBJECT |
1 | Engineering Mathematics II |
2 | Engineering chemistry |
3 | English Language Skills for Communication – II |
4 | Electronics Engineering |
5 | Web Programming through PHP |
6 | Basic Mechanical Engineering |
7 | Introduction to Artificial Intelligence |
| PRACTICALS |
1 | Engineering chemistry Lab |
2 | English Language Lab – II |
3 | Electrical Engineering lab |
4 | Web Programming Lab |
S.NO | Program Core |
1 | Python Programming |
2 | Introduction to Microprocessors |
3 | Computer Networks |
4 | Computer Organization |
5 | Software Engineering |
6 | Discrete Mathematics |
7 | Object-Oriented Programming |
8 | Theory of Automata & Formal Language |
9 | Design & Analysis of Algorithms |
10 | Data Structures & Algorithms |
11 | Compiler Design |
12 | Database Management System |
13 | Web Programming through PHP |
14 | Introduction to Artificial Intelligence |
S.NO | Program Elective |
1 | Introduction To MachineLearning |
2 | Computational Linguistics and Natural Language Processing |
3 | Application of Machine Learning in industries |
4 | Neural Networks |
5 | Data mining & Predictive Modeling |
6 | Cognitive Analytics |
7 | Pattern and Anomaly Detection |
8 | Algorithm for Intelligent Systems and Robotics |
S.No | Semester 3 |
1 | Introduction to Applied Psychology |
2 | Design and Analysis of Algorithms |
3 | Design and Analysis of Algorithms Lab |
4 | Securing Digital Assets |
5 | Web Technologies Lab |
6 | Functional Programming in Python |
7 | Introduction to Internet of Things |
8 | Communication WKSP 2.0 |
9 | Communication WKSP 2.0 Lab |
10 | Web Technologies |
11 | Computer System Architecture |
S.No | Semester 4 |
1 | Data Communication and Computer Networks |
2 | Data Communication and Computer Networks Lab |
3 | Introduction to Java and OOPS |
4 | Introduction to Java and OOPS Labs |
5 | Applied Statistical Analysis (for AI and ML) |
6 | Current Topics in AI and ML |
7 | Database Management Systems & Data Modelling |
8 | Database Management Systems & Data Modelling Lab |
S.No | Semester 5 |
1 | Current Topics in AI and ML |
2 | Mobile Application Development |
3 | Mobile Application Development Lab |
4 | Algorithms for Intelligent Systems |
5 | Formal Languages & Automata Theory |
6 | Software Engineering & Product Management |
7 | Minor Subject: - 1. Aspects of Modern English Literature or Introduction to Linguistics |
8 | Minor Project I |
S.No | Semester 6 |
1 | Reasoning, Problem Solving and Robotics |
2 | Introduction to Machine Learning |
3 | Minor Project II |
4 | Natural Language Processing |
5 | Minor Subject 2 – General Management |
6 | Minor Subject 3 - Finance for Modern Professional |
7 | Design Thinking |
8 | Communication WKSP 3.0 |
S.No | Semester 7 |
1 | Program elective |
2 | Web Technologies |
3 | Major Project- 1 |
4 | Comprehensive Examination |
5 | Professional Ethics and Values |
6 | Industrial Internship |
7 | Open Elective - 3 |
8 | CTS-5 Campus to corporate |
9 | Introduction to Deep Learning |
S.No | Semester 8 |
1 | Major Projects 2 |
2 | Program Elective-5 |
3 | Program Elective-6 |
4 | Open Elective - 4 |
5 | Universal Human Value & Ethics |
6 | Robotics and Intelligent Systems |
Skills Required to learn Artificial Intelligence Courses:
Programming languages
Python
C++
JavaScript
C#
R
TypeScript
Algorithms and Frameworks
Linear Algebra, Probability and Statistics
Communication and Problem-solving Skills
Artificial Intelligence is of 3 types:
Artificial Narrow Intelligence (ANI)
Artificial General Intelligence (AGI)
Artificial Super Intelligence (ASI)
Artificial Narrow Intelligence (ANI)- Stage 1- Machine Learning
Specializes in one area and solves one problem
Examples: Siri, Alexa, Cortona
Artificial General Intelligence (AGI)- Stage 2- Machine Intelligence
Artificial Super Intelligence (ASI)- Stage 3- Machine Consciousness
Career Opportunities after B.tech AI:
Artificial Intelligence Engineer
Machine Learning Engineer
Deep Learning Engineer
Big Data Engineer
Data Scientist
Business Intelligence Developer
Research Scientist
AI Data Analyst
Robotics Scientist
Algorithm Engineer
Top recruiters hiring graduates with skills in AI and ML:
Apple
Amazon
Google
Facebook
Clarifai
Anki
DJI
Microsoft
Reliance Jio
IBM
NIIT
Oracle
Genpact
HDFC Bank
Best Artificial Intelligence Books to read:
A First Course in Artificial Intelligence By – Deepak Khemani
Basics of Artificial Intelligence & Machine Learning By – Dr. Dheeraj Mehrotra
Python: Beginner’s Guide to Artificial Intelligence By – Rahul Kumar, Ankit Dixit, Denis Rothman, Amir Ziai, Mathew Lamons
Artificial Intelligence: Learning Automation Skills with Python By – Chris Baker
Machine Learning – The New AI By – Ethem Alpaydin
Machine Learning for Beginners By – Chris Sebastian
Artificial Intelligence By Example By – Denis Rothman
Artificial Intelligence – A Modern Approach (3rd Edition) By – Stuart Russell and Peter Norvig
Artificial Intelligence and Machine Learning By – Chandra S.S.V
Artificial Intelligence Basics: A Non-Technical Introduction By – Tom Taulli
Online Free Artificial intelligence Course with Certificate:
Course Name | Where to find |
Introduction to Artificial Intelligence | IBM Udacity |
Simplilearn | youtube channel |
AI Engineering Professional Certificate | Coursera |
Google Applied AI Course | Google |
Elements of AI | https://www.elementsofai.com/ |
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