technifyed

IIT Guwahati via NPTEL

Computer Vision and Image Processing - Fundamentals and Applications

Overview

Electrical Engineering course by Prof. M. K. Bhuyan.

Advantages and disadvantages

Advantages

  • Taught by IIT and IISc professors, and it follows the Indian university syllabus closely.
  • All videos and assignments are free on NPTEL and SWAYAM.
  • The certificate is recognised by many Indian universities for credit transfer and by GATE aspirants.
  • Great for GATE and semester exam preparation.
  • From Indian Institute of Technology Guwahati, a well-regarded name.
  • Completely free.
  • Self-paced: start any time.

Disadvantages

  • The certificate needs a proctored exam at a centre, which has a fee.
  • Recorded classroom lectures: thorough, but slower than made-for-online courses.
  • New runs start on fixed dates (January and July).
  • Learning is free, but the certificate costs money.

Some points apply to every course of this kind; see how we rank.

Free to learn

  • Free: Every video and assignment is free on NPTEL and SWAYAM. Enrol when the next run opens.
  • Certificate: Optional. It needs a proctored exam at a centre, which has a fee.

Taught by

  • Prof. M. K. BhuyanIIT Guwahati

Indian Institute of Technology Guwahati is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (90/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Stanford University · YouTube

Stanford CS25 - Transformers United

Stanford CS25: Transformers United Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers are finding applications all over Deep Learning, be it computer vision (CV), reinforcement learning (RL), Generative Adversarial Networks (GANs)…

Free video50 videos, 56 hours

Stanford University · YouTube

Stanford CS231N Deep Learning for Computer Vision I 2025

XCS231N Deep Learning for Computer Vision, the professional education version of the graduate course CS231N Deep Learning for Computer Vision, begins August 3rd and runs through October 11th. Enrollment is open now. Learn course details: https://stanford.io/XCS231N-YouTube Computer Vision has becom…

Free video18 videos, 21 hours

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Massachusetts Institute of Technology · YouTube

MIT 6.832 Underactuated Robotics, Spring 2009

Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which invol…

Free video23 videos, 28 hours

Massachusetts Institute of Technology · YouTube

MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016

Instructor: Michael Short View the complete course: https://ocw.mit.edu/22-01F16 This course provides an introduction to nuclear science and its engineering applications. It describes basic nuclear models, radioactivity, nuclear reactions and kinematics; covers the interaction of ionizing radiation…

Free video34 videos, 32 hours

Enter your email and the official page opens. Phone is optional.