Courses:

University of Washington:

1. Machine Learning (CSE 546)
2. Computer Vision (CSE 576)
3. State Estimation and Kalman Filtering (ME/EE 549)
4. Linear Systems Theory (ME/EE 547)
5. Multivariate Control Theory (ME/EE 548)

Detailed description of courses can be found here.

National Institute of Technology:

1. Fourier Series and Partial Differential Equations
2. Strength of Materials
3. Applied Electronics
4. Numerical Techniques
5. Electrical and Control Systems Engineering
6. Design and analysis of Experiments.
7. Kinematics of Machines
8. Applied Statistics
9. Dynamics of Machines
10. Design of Machine Elements
11. Non Traditional Manufacturing Processes.

Detailed descriptions of courses can be found in the curriculum.

Online Courses:

1. Control of Mobile Robots conducted by Georgia Institute of Technology, Atlanta, in Coursera [certificate]

2. robot mechanics ,planning and control part-1 conducted by seoul national university, South Korea in Edx [certificate]

3. robot mechanics ,planning and control part-2 conducted by seoul national university, South Korea in Edx [certificate]

4. Autonomous navigation of flying bots, conducted by technical university of Munich , in Edx [certificate]

5. Machine Learning, conducted by Stanford university, in Coursera [certificate]

6. Introduction to Haptics, conducted by Stanford university,USA in StanfordOnline [certificate]

7. Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion, conducted by Georgia Institute of Technology, in Coursera [certificate]

8. Programming for Everybody (Python), conducted by Universityof Michigan, in Coursera [certificate]

9. Dynamics and Control, conducted by UPValencia, in Edx [certificate]

10.Introduction to Robotics, conducted by Queensland University of Technology, in QUT Open Online Learning [certificate]