NPTEL Robotics |Free Robotics Courses With Certificate |

[1] Course Name:- Introduction to Robotics
Professor:- Prof. Ashish Dutta IIT Kanpur
Number of videos:- 25 video lectures
Duration of course:- 11-week course
What you will learn:- This course will cover not only the Introduction part of robotics. It will cover robot joints, Kinematics, trajectory planning, sensors, Control system, control of a single joint, force control, and even industrial robot and their application.this cource is available at NPTEL Website.
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[2] Course Name:- Wheeled Mobile Robots
Professor:- Prof. Asokan Thondiyath IITM
Prof. Santhakumar Mohan IIT Palakkad
Number of videos:- 46 video lectures
Duration of course:- 8-week course
What you will learn:-This course will cover the type of locomotion, kinematics, motion, robot navigation, underwater, aerial robots,  hybrid robot, and also healthcare robots.
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[3] Course Name:- Mechatronics
Professor:- Prof. Pushparaj Mani Pathak IIT Roorkee
Number of videos:- 40 video lectures
Duration of course:- 8-week course
What you will learn:- This course will cover Artificial intelligence, programming, design of the legged robot, sensors, Semiconductors,input-output communication, many other robotics, and Mechatronics related topics.
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[4] Course Name:- Robotics: Basics & Selected Advanced Concepts
Professor:- Prof. Ashitava Ghosal IISc Bangalore
Number of videos:- 40 Video Lectures
Duration of course:- 8 Week course
What you will learn:- type of robots, homogenous transformation, robots joints, flexible robots, wheeled mobile robots, manipulators, robot motion planning, and many robotics-related topics.
YouTube Video Playlist link

[5] Course Name:- Artificial Intelligence Search Methods For Problem Solving
Professor:- Prof. Deepak Khemani IIT Madras
Number of videos:- 95 video lectures
Duration of course:- 12-week course
What you will learn:- Different algorithms, Artificial Intelligence related theories, multi-armed robots, history of AI, Algorithm A, beam stack search, Game Theory, Automated Domain independent planning, State-space planning, The planning graph, illustration, Rete algorithm, Arc consistency and other Artificial Intelligence Search Methods For Problem Solving related topics.
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[6] Course Name:- Deep Learning for Computer Vision
Professor:- Prof. Vineeth N Balasubramanian IIT Madras
Number of videos:- 79 video lectures
Duration of course:- 12 Week course
What you will learn:- History, Image formation, neural network, training of neural Network, object detection 2, image task, neural Architecture search, Deep Generative models, and other Computer Vision related topics.
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[7] Course Name:- Bandit Algorithm (Online Machine Learning)
Professor:- Prof. Manjesh hanawal IIT Bombay
Number of videos:- 60 video lectures
Duration of course:- 12 Week course
What you will learn:- Algorithms, online Learnability, standard optimal algorithm, optimism in the face of Uncertainty, upper confidence bound algorithm, and many other topics related to Online Machine Learning.
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[8] Course Name:- Introduction to robotics Engineering Design
Professor:- Dr. Krishna Vasudevan
Dr. Balaraman Ravindran
Dr. T Asokan IIT Madras
Number of videos:- 43 video lectures
Duration of course:- 12 Week Course
What you will learn:- Evolution of robots, kinematics,  matrix, robot architecture, different algorithms, DC motors, different ckt, the brushless DC Machine, velocity motion model, motion model, path planning, and other robotics design related topics.
YouTube Video Playlist link

[9] Course Name:- Automation in Manufacturing
Professor:- Dr. Shrikrishna N. Joshi IIT Guwahati
Number of videos:- 37 video Lectures
Duration of course:- not mentioned
What you will learn:- Mechatronics, Design of automation system, selection and fabrication, sensors, microprocessors, DC & AC motors, Stepper and servo motors, CNC technology, computer-aided manufacturing, process planning, and other automation-related topics.
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[10] Course Name:- Foundations of Cognitive Robotics
Professor:- Prof. Bishakh Bhattacharya IIT Kanpur
Number of Videos:- 14 Video Lectures
Duration of course:- 4 Week Course
What you will learn:- Cognitive robotics, smart material, Architecture of the brain, Nerve Cells, Introduction to synchronization models, Introduction to EEG, Kuramoto model, Child Robot interaction, and other robotics-related topics.
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[11] Course Name:- An Introduction to Artificial Intelligence
Professor:- Prof. Mausam IIT Delhi
Number of videos:- 96 video lectures
Duration of course:- 12 weeks course
What you will learn:- History of Artificial Intelligence from 1940, History of AI in NASA & DARPA, Algorithm of two-player games, game database & other games, humans vs Robots, Deep learning, Reinforcement Learning, Bayesian Networks,  Logic in AI, Adversarial search and other AI-related topics.
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[12] Course Name:- Design, Technology, and Innovation
Professor:- Dr. B.K. Chakravarthy IIT Bombay
Number of videos:- 23 video lectures
Duration of course:- 8-week course
What you will learn:- Jaipur foot, Technology to solution, collaborative innovation methods, Learnings from Grassroot innovation, systematic Approach to BioMed innovations, Research to innovation, smart cane for the blind A success story.
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[13] Course Name:- Fuzzy Sets, Logic and Systems & Applications
Professor:- Prof. Nishchal K Verma IIT Kanpur
Number of videos:- 60 video lectures
Duration of course:- 12-week course
What you will learn:- Fuzzy sets, logic and systems & application, Properties of fuzzy sets, Arithmetic Operations of fuzzy numbers, fuzzy Relation, fuzzy tolerance and equivalence Relations, fuzzy Rules and fuzzy reasoning,mamdani fuzzy model, Larsen Fuzzy model, TSK fuzzy Model, and many other topics.
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[14] Course Name:- VLSI Signal Processing
Professor:- Prof. Mrityunjay Chakraborty IIT Kharagpur
Number of videos:-39 video lectures
Duration of course:- 8-week course
What you will learn:-Signal flow Graph, Data flow graph, filters, Retiming LMS, Unfolding a switch, Folding of DFG, and other signal Processing related topics.
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[15] Course Name:- A brief introduction of Micro – Sensors
Professor:- Prof. Santanu Talukder IISER Bhopal
Number of videos:- 23 video lectures
Duration of course:- 4-week course
What you will learn:- Basic Mechanics, simple machines, Electrostatics, KOH etching, Lithography, accelerometer,  pressure Sensor, sensing, and other micro sensors related topics.
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[16] Course Name:- Robotics and Control: Theory and Practice
Professor:- Prof. N. Sukavanam
Prof. M. Felix Orlando IIT Roorkee
Number of videos:- 40 Video Lectures
Duration of course:- 8 to 12 week
What you will learn:- Kinematics, Different type of Kinematics, manipulator, Trajectory planning, Biped robot Basics, and Flat foot Biped model, Artificial Neural Network, biped robot flat foot and toe foot model, neural network-based control for robot manipulator, redundancy resolution of human fingers in cooperative object translation, Fundamentals of robot manipulability, rotation motion, simulation of robot manipulators and many robotics related topics.
YouTube Video Playlist link

[17] Course Name:- Deep Learning
Professor:- Prof. P.K. Biswas IIT Kharagpur
Number of videos:- 79 video Lectures
Duration of course:- 12-week course
What you will learn:- Linear machine, multiclass support vector machine, neural network, a technique in Machine learning, multilayer perceptron, Autoencoder, CNN architecture, google net, face recognition, image Denoising, and many other topics.
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[18] Course Name:- Computer Vision
Professor:- Prof. Jayanta Mukhopadhyay IIT Kharagpur
Number of videos:- 60 video Lectures
Duration of course:- 12-week course
What you will learn:- Fundamentals of Image Processing, image transform, projective geometry, camera geometry, stereo geometry, feature detection and description, feature matching and model fitting, color Fundamentals and processing, range image Processing, clustering and classification, dimensional reduction, and sparse representation, deep neural architecture and ApplicatiVid.and other topics.
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[19] Course Name:- Fuzzy Logic and Neural Networks
Professor:- Prof. Dilip Kumar Pratihar IIT Kharagpur
Number of videos:- 42 video Lectures
Duration of course:- 8-week course
What you will learn:- Introduction to fuzzy sets, Applications of fuzzy sets, optimization of fuzzy reasoning and clustering tool, some examples of neural networks, optimal designs of neural Networks,neuro-fuzzy system, soft computing, and expert systems, A few applications.
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[20] Course Name:- Machine Learning for Engineering & Science Applications
Professor:- Prof. Ganapathy
Prof. Balaji Srinivasan IIT Madras
Number of videos:-100 Video Lectures
Duration of course:- 12-week course
What you will learn:- You will learn all the basics of Machine learning and different algorithms. you will also find the live video link for this course.
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[21] Course Name:- Deep Learning – Part 2
Professor:- Prof. Mitesh Khapra IIT Madras
Number of videos:- 38 video Lectures
Duration of course:- 8-week course
What you will learn:- Recap probability theory, joint distributions, independencies encoded by a Bayesian network, I-Maps, Autoencoders, variational autoencoders, Neural autoregressive density estimator, generative adversarial networks, and other Deep learning topics.
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[22] Course Name:- Machine Learning, ML
Professor:- Prof. Carl Gustaf Jansson IIT Madras
Number of videos:- 50 video Lectures
Duration of course:- 8-week course
What you will learn:- Introduction to Machine Learning, Foundation of artificial intelligence & machine learning, autonomous systems, artificial neural network, deep learning, Fundamentals of Artificial neural networks, Tools and resources, other Machine learning related topics.
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[23] Course Name:- Big Data Computing
Professor:- Dr. Rajiv Misra IIT Patna
Number of videos:- 34 video Lectures
Duration of course:- 8-week course
What you will learn:- Introduction to Big Data, Big Data enabling technologies, Hadoop MapReduce, introduction to spark, design of key-value stores, CAP Theorem, Big data Machine Learning, machine learning algorithm k-means using map-reduce for big data analytics and other topics.
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[24] Course Name:- Advanced Linear Continuous Control Systems:
Applications with MATLAB Programming & Simulink
Professor:- Prof. Yogesh Vijay Hote IIT Roorkee
Number of videos:- 40 video Lectures
Duration of course:- Not mentioned
What you will learn:-
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[25] Course Name:- Applied Optimization for Wireless, Machine Learning, Big Data
Professor:- Prof. Aditya K. Jagannatham IIT Kanpur
Number of videos:- 79 video Lectures
Duration of course:- 12-week course
What you will learn:- This course will cover big data, wireless Sensors, robust systems you will learn deep concepts of Wireless sensors, big data, Machine learning. there are many topics please visit provided link for more information.
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