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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Problem-solving for humans can be a tough nut to crack, and that is why certain approaches to problems can be tweaked for efficient resolution. Problem-solving in the field of artificial intelligence is not confined to a single approach but many. Problem solvers may be based on memory, search, reasoning, and knowledge representation. In AI: Constraint Satisfaction certification course, the approach to problem-solving by posing them as constraint satisfaction problems has been discussed lucidly along with the general methods to solve them.
AI: Constraint Satisfaction certification by IIT Madras. The course is taught by renowned IIT Madras faculty Prof. Deepak Khemani. Throughout this course, candidates will learn how a user poses a problem as a CSP, and then calls an off-the-shelf solver. This course carries two credits and will teach candidates about the general approaches to solving finite domain CSPs while exploring how search can be clubbed with constraint propagation to determine solutions in the field of Artificial Intelligence.
The AI: Constraint Satisfaction online course is a companion to Artificial Intelligence: Search Methods for Problem Solving course and Artificial Intelligence: Knowledge Representation & Reasoning. It has been approved by AICTE as an FDP course to upskill the faculty in the current domain.
The Highlights
- AICTE-approved FDP course
- Taught by faculty from IIT Madras
- A course designed for both undergraduate and postgraduate students
- The syllabus spread over eight weeks
- Use of multimedia technology in pedagogy
- 12 weeks program duration
- Course program by Swayam
- Certificate of completion by IIT Madras and NPTEL
Programme Offerings
- Reading Material
- video lectures
- quizzes
- discussion forum
- audio lectures
- Case Studies
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Madras (IITM) |
The AI: Constraint Satisfaction certification fees are as follows:
Fee | Amount in Rs. |
Course Fee | Free |
Certification Fee | Rs. 1000 |
The candidates can audit the course for free. They will have to pay the specified fee to gain the e-certificate.
Eligibility Criteria
Education
Applicants of AI: Constraint Satisfaction certification course are recommended to take up Exposure to AI: Search Methods for Problem Solving and AI: Knowledge Representation & Reasoning course before taking up this course, but this is not a necessary requirement.
Certification Qualifying Details
The examination is optional for students of the AI: Constraint Satisfaction Online Course but is compulsory for those wanting the online certification. The criteria for passing the examination include scoring 10 out of the 25 marks, which is the average of the best 6 assignments out of the total 8 assignments of the course and 30 out of the 75 marks in the proctored certification exam. Learners need to note that they will not receive the certificate even if their total score is 40/100 if they fail to maintain the minimum score in assignments and exams.
What you will learn
AI: Constraint Satisfaction certification syllabus has been crafted keeping in mind the educational and professional expectations of the intended audience from the course. The candidates will learn the following:
- Knowing how model-based systems work
- Conducting model-based diagnosis
- Understanding constraint satisfaction problems through examples
- Studying the concepts of graph ordering and directional consistency
- Working with constraint networks and projection networks
- Take a look at different kinds of backjumping including Gaschnig's back jumping and graph-based backjumping
- Analyzing constraint propagation, path consistency, and i-consistency
- Searching methods for solving CSPs
Who it is for
AI: Constraint Satisfaction Training serves as the right fit for the following categories of individuals-
- Undergraduate students pursuing any degree in computer science.
- Postgraduate students pursuing any degree in computer science.
Admission Details
For students who wish to pursue the course once available, AI: Constraint Satisfaction certification course comprises a simple, four-step admission process which is as follows-
Step 1: Go to the course URL- https://onlinecourses.nptel.ac.in/noc22_cs06/preview
Please note: Registrations for the current batch have been closed. The candidates can apply for this program once it reopens.
Application Details
There is no application form involved in the enrolment process for the AI: Constraint Satisfaction certification course. You can either use your existing Swayam/Facebook/Microsoft/Google IDs to sign in or create a new Swayam learning account.
To sign up, provide your username, password, and an active email address and enter the verification code sent by Swayam. Upon verification, your ID will be active, and you can access this training when it starts.
The Syllabus
Instructors
IIT Madras (IITM) Frequently Asked Questions (FAQ's)
Quizzes and assignments are self-assessed, so learners can assess their submissions once made.
Candidates need to check with their respective university if it offers credits on AI: Constraint Satisfaction Certification.
AI: Constraint Satisfaction certification benefits learners in terms of convenience since there are no technical requirements per se; the content can be accessed on any device or browser.
The end date of the course can be checked on the course URL. The exam will be held after that.
The course is self-paced so learners need not comply with any time limit for each day.
An online discussion forum has been provided to candidates to get their doubts answered by the team.
Two books have been provided as a reference-
- Rina Dechter, Constraint Processing, Morgan Kaufmann, 2003.
- Deepak Khemani, A First Course in Artificial Intelligence, McGraw Hill Education (India), 2013.
Any person from anywhere across the world can register for this course.
Other eligibility requirements for the course can be checked on the course page.