Introduction to Artificial Intelligence with Project Ideas and Practice Problems

Learn about the Artificial Neural Networks, the backbone of Artificial Intelligence in a Self Paced Certificate Course. Both Simple and Polynomial Neural Networks were covered with Self Explanatory Presentations along with example problems. On securing pass marks in the Weekly Assignments and End of the Month Tests, Certificate of Completion is provided. Scope of publication will also be granted at the end of the course and on securing pass mark in the assignment and tests.

Course Content :

Fundamentals

• What is Artificial Neural Network(ANN)?
• Parameter Estimation
• Training Algorithms
• Testing of the Network
• Validation of the Networks
• Example Problems

Training Algorithms

• Quick Propagation
• Conjugate Gradient Descent
• Newtons Method
• Quasi Newton
• Levenberg Marquardt

Advanced ANN

• Polynomial Neural Networks
• Group Method of Data Handling

Testing ANN Performance

• ERROR IDENTIFICATION METRICS
• REGRESSION ERROR
• CLASSIFICATION ERROR
• CORRELATION IDENTIFICATION METRICS
• EFFICIENCY IDENTIFICATION METRICS

Applications in Case Studies

• Example Application in Water Resource Development

Software

• No Code Software for ANN Application

Course Duration: Minimum One Year and more if required

Certificate: Yes and :

i)Self-Paced Learning Option: Yes

ii)Course Videos & Readings: Yes

iii)Practice Quizzes: Yes

iv)Graded Assignments with Peer Feedback: Yes

v)Graded Quizzes with Feedback: Yes

vi)Scope of Paper/Book Chapter Publication: Yes

vii) Scope of one to one interaction with the coordinator for one year.