To introduce students to the fundamental concepts and techniques of
Artificial Intelligence (AI), enabling them to understand intelligent agents,
search strategies, problem-solving techniques, planning, logic, and inference
mechanisms for building AI-based solutions.
CO1:
Explain the fundamental concepts, history, and scope of Artificial
Intelligence.
CO2:
Apply heuristic and randomized search strategies to solve AI-related problems.
CO3:
Implement optimal path-finding and problem decomposition techniques in AI
systems.
CO4:
Design planning strategies and apply constraint satisfaction techniques for AI
problem-solving.
CO5:
Utilize propositional and first-order logic for inference and reasoning in AI
applications.
| Course Status : | Upcoming |
| Course Type : | |
| Language for course content : | English |
| Duration : | 12 weeks |
| Category : |
|
| Credit Points : | 4 |
| Level : | Diploma |
| Start Date : | 26 Jan 2026 |
| End Date : | 30 Apr 2026 |
| Enrollment Ends : | 28 Feb 2026 |
| Exam Date : | |
| Translation Languages : | English |
| NCrF Level : | 4.5 — 5.5 |
| Industry Details : | Education and Training |
|
swayam@nitttrc.edu.in, swayam@nitttrc.ac.in
1. Deepak
Khemani. A First Course in Artificial Intelligence, McGraw Hill Education
(India)
2. https://nptel.ac.in/courses/106106126/
3.
Stefan Edelkamp
and Stefan Schroedl.
Heuristic Search, Morgan Kaufmann.
4.
Pamela McCorduck,
Machines Who Think: A Personal
Inquiry into the History and
5. Prospects of Artificial Intelligence, A K Peters/CRC Press
6.
Elaine Rich and Kevin
Knight. Artificial Intelligence, Tata McGraw Hill.
7.
Stuart Russell
and Peter Norvig.
Artificial Intelligence: A Modern Approach,
Prentice
8. Hall
9. M.C. Trivedi, A classical approach
to Artificial Intelligence, Khanna Publishing House
Dr. P. Selvi Rajendran is currently
serving as a Professor at the National Institute of Technical Teachers Training
and Research (NITTTR), Chennai. With over 24 years of experience in teaching
and academic administration, she has built a distinguished career in the field
of Computer Science and Engineering.
Dr. Selvi Rajendran holds a Bachelor’s
and Master’s degree in Computer Science and Engineering from Madurai Kamaraj
University, and earned her Ph.D. in Computer Science and Engineering from the
National Institute of Technology (NIT), Trichy, India.
Her research expertise spans Natural
Language Processing (NLP), Deep Learning, and Machine Learning, areas in which
she has made significant academic contributions. She has authored three books
and published over 65 research papers in reputed international journals and
conferences.
Among her notable achievements is the
successful completion of an ICMR-funded research project titled “Development of
an Anti-Cancer Drug Response Prediction Model using Ensemble Learning for
Clinical Application.”
In addition to her research pursuits,
Dr. Selvi Rajendran has been instrumental in organizing numerous international
conferences, fostering collaboration and knowledge sharing in the academic
community. Her work reflects a strong commitment to innovation,
interdisciplinary research, and real-world problem-solving in emerging areas
such as Artificial Intelligence and Machine Learning.
"The SWAYAM Course Enrolment and learning is free. However, to obtain a certificate, the learner must register and take the proctored exam in person at one of the designated exam centres. The registration URL will be announced by NTA once the registration form becomes available. To receive the certification, you need to complete the online registration form and pay the examination fee. Additional details, including any updates, will be provided upon the publication of the exam registration form. For more information about the exam locations and the terms associated with completing the form, please refer to the form itself."
Grading Policy:
- Internal Assignment Score: This accounts for 30% of the final grade and is calculated based on the average of the best three assignments out of all the assignments given in the course.
- Final Proctored Exam Score: This makes up 70% of the final grade and is derived from the proctored exam score out of 100.
- Final Score: The final score is the sum of the average assignment score and the exam score.
Eligibility for Certification:
- To qualify for a certificate, you must achieve an average assignment score of at least 10 out of 30, and an exam score of at least 30 out of 70. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >=40/100.
Certificate Details:
- The certificate will include your name, photograph, roll number, and the percentage score from the final exam. It will also feature the logos of the Ministry of Education, SWAYAM, and NITTTR.
- Certificate Format: Only electronic certificates (e-certificates) will be issued; hard copies will not be dispatched.
Once again, thanks for your interest in our online courses and certification. Happy Learning.
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