Are you looking for the Best Robotics Courses Online & Certifications?… If yes, then this article is for you. In this article, you will find the 12 Best Robotics Courses Online. I have also listed some free robotics online courses.
Now, without further ado, let’s get started-
Best Robotics Courses Online & Certifications
- 1. How to Become a Robotics Engineer- Udacity
- 2. Modern Robotics: Mechanics, Planning, and Control Specialization- Coursera
- 3. Robotics Specialization- Coursera
- 4. Artificial Intelligence for Robotics– Udacity FREE Course
- 5. Robotic Process Automation (RPA) Specialization- Coursera
- 6. Self-Driving Cars Specialization– Coursera
- 7. Complete UiPath RPA Developer Course: Build 7 Robots- Udemy
- 8. Self-Driving Car Engineer– Udacity
- 9. Modern Robotics, Course 1: Foundations of Robot Motion– Coursera FREE Course
- 10. Industrial Robotics- Udemy
- 11. IBM Applied AI Professional Certificate- Coursera
- 12. Become a Deep Reinforcement Learning Expert- Udacity
1. How to Become a Robotics Engineer– Udacity
Rating- | 4.5/5 |
Time to Complete- | 4 months (If you spend 10-15 hours/week) |
Level- | Advanced |
This Udacity Robotics Software Engineer Nanodegree is a good mixture of practical exercises & content. And it also points to multiple complementary materials. This helps a lot to go deeper into certain subjects.
This Nanodegree program is best for understanding ROS alongside covering the fundamentals of robotics which is most required from a technical understanding perspective.
Udacity Robotics Software Engineer Nanodegree has 6 courses and 6 projects. And each course has some lessons. In terms of Content Quality, the Udacity Robotics Software Engineer Nanodegree is worth it. You will learn several new concepts of Gazebo and ROS.
Who Should Enroll?
This is an advanced-level program. You can enroll in this program if you have previous knowledge in-
- Any object-oriented programming language, preferably C++
- Probability
- Calculus
- Linear Algebra
- Basic Linux Command Lines
Interested to Enroll?
If yes, then check out all details here- Udacity Robotics Software Engineer Nanodegree
2. Modern Robotics: Mechanics, Planning, and Control Specialization– Coursera
Rating- | 4.8/5 |
Time to Complete- | 6 months |
Level- | Intermediate |
This is a specialization program and has 6 courses. In this program, you will learn robot configurations, forward kinematics, efficient numerical algorithms for forward dynamics, inverse dynamics, key concepts of robot motion generation, etc.
You will also learn how to build on a library of robotics software in the language of your choice and how to use the free cross-platform robot simulator V-REP.
Who Should Enroll?
- Those who have previous knowledge of Linear algebra, some calculus, derivatives, and partial derivatives, and a little bit of programming experience.
Interested to Enroll?
If yes, then check out all details here- Modern Robotics: Mechanics, Planning, and Control Specialization
3. Robotics Specialization– Coursera
Rating- | 4.3/5 |
Time to Complete- | 7 months |
Level- | Beginner |
In this specialization program, there are 6 courses. In this program, you will learn aerial robotics and understand the mechanics of flight and the design of quadrotor flying robots.
The instructor also explains how a robot decides what to do to achieve its goals, how to design robot bodies and behaviors, and how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow.
Next, you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world.
Who Should Enroll?
- Those who are beginners.
Interested to Enroll?
If yes, then check out all details here- Robotics Specialization
4. Artificial Intelligence for Robotics– Udacity FREE Course
Rating- | NA |
Time to Complete- | 2 months |
Level- | Advanced |
This is an advanced-level course to learn artificial intelligence for robotics. In this course, you will learn how to program the major systems of a robotic car from the leader of Google and Stanford’s autonomous driving teams.
Throughout this course, you will learn probabilistic inference, planning, search, localization, tracking, and control, all with a focus on robotics.
Python is used for programming and some basic object-oriented concepts are used to model robot motion and perception.
Who Should Enroll?
- Those who have programming knowledge and are familiar with concepts in probability.
Interested to Enroll?
If yes, then start learning here- Artificial Intelligence for Robotics
Find More FREE Robotics Courses here- 7 Best FREE Robotics Courses Online [Complete FREE List]
5. Robotic Process Automation (RPA) Specialization– Coursera
Rating- | 4.7/5 |
Time to Complete- | 4 months |
Level- | Beginner |
In this specialization program, you will learn the UiPath Platform and its core components, Variables, Arguments, and Data Manipulation, and different methods used while interacting with the User Interface of different applications like Excel, Word, CRM, and Websites while building automation projects.
Next, this program explains automation flow, error handling mechanism, Workbook, Excel and Email Automation in Studio, and activities for workbooks and Excel automation along with Email protocols and related activities.
Who Should Enroll?
- Those who have basic computer programming knowledge.
Interested to Enroll?
If yes, then check out all details here- Robotic Process Automation (RPA) Specialization
6. Self-Driving Cars Specialization– Coursera
Rating- | 4.7/5 |
Time to Complete- | 7 months (If you spend 5 hours/week) |
Level- | Advanced |
This is a specialization program and gives you a deep understanding of state-of-the-art engineering practices used in the self-driving car industry. In this program, you will interact with real data sets from an autonomous vehicle.
You will do hands-on projects using the open-source simulator CARLA. After successfully completing this specialization program, you will be able to build your own self-driving software stack. This specialization program has 4 courses.
Who Should Enroll?
- Those who have prior knowledge in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming.
Interested to Enroll?
If yes, then check out all details here- Self-Driving Cars Specialization
7. Complete UiPath RPA Developer Course: Build 7 Robots– Udemy
Rating- | 4.7/5 |
Time to Complete- | 30 hours |
Level- | Beginner |
In this course, you will learn and master UiPath Studio and how to build state-of-the-art software robots from scratch. This course will provide practical-based learning.
As the name suggests, “Build 7 Robots”, you will build 7 robots for clothing consultant, data capturing, the automation challenge, real-state web scrapping, PDF invoice data scrapping, optical character recognition, and email automation.
Who Should Enroll?
- Those who are beginners.
Interested to Enroll?
If yes, then check out all details here- Complete UiPath RPA Developer Course: Build 7 Robots
8. Self-Driving Car Engineer– Udacity
Rating- | NA |
Time to Complete- | 5 months (If you spend 10 hours/week) |
Level- | Advanced |
This Udacity Self Driving Car Nanodegree Program is a good mixture of practical exercises & content to gain skills across a wide array of critical topics, including computer vision, sensor fusion, localization, motion control, and more.
There are 5 courses and 6 projects throughout this Nanodegree program. In the first project, you will learn how to create a convolutional neural network to detect and classify objects using the Waymo Open Dataset data.
Next, you will work on 3D object detection and solve a challenging multi-target tracking task by fusing camera and lidar detections.
In the fourth project, you have to recover the position of a simulated car using lidar with either ICP or NDT, two scan-matching algorithms, and aligning point cloud scans from the CARLA simulator.
The fifth project is all about Motion Planning and Decision Making for Autonomous Vehicles. In the last project, you have to design a PID controller to perform vehicle trajectory tracking.
Overall, this is an in-depth course to understand the concept of self-driving cars.
Who Should Enroll?
- Those who have previous knowledge of Python or C++, linear algebra, probability, and statistics.
Interested to Enroll?
If yes, then start learning- Self-Driving Car Engineer
9. Modern Robotics, Course 1: Foundations of Robot Motion– Coursera FREE Course
Rating- | 4.7/5 |
Time to Complete- | 24 hours |
Level- | Intermediate |
This course is part of “Modern Robotics: Mechanics, Planning, and Control Specialization“. But this course can be individually a “Free to Audit course“. That means you can access the course material free of cost, but for the certificate, you have to pay.
To audit this course for free, click on the “Enroll for Free” button. A new popup window will appear, where they ask you to choose the subscription months. But on the same page, in the bottom left corner, there is an option “Audit the course”. Choose this option, and you will be redirected to the course materials free of cost.
In this course, you will learn the basics of modern robotics and how to configure space topology and representation. This course is a combination of video-based tutorials and text-based tutorials. Throughout the course, there are some reading material will be provided.
Overall, this is a good course to understand about Robot Motion.
Who Should Enroll?
- Those who have previous knowledge in Linear algebra, calculus, derivatives, and partial derivatives, and a little bit of programming experience.
Interested to Enroll?
If yes, then start learning here- Modern Robotics, Course 1: Foundations of Robot Motion
10. Industrial Robotics– Udemy
Rating- | 4.4/5 |
Time to Complete- | 6 hours |
Level- | Intermediate |
In this course, you will learn robotics basics, Frames, Kinematic Models, Inverse kinematics, Planning Movements, Monitoring the Workspace, Path vs. Trajectory, Optimizing Trajectories, etc.
The instructor also explains Langrange vs Newton, robot programming, Hardware Topology, Servo Drives Tuning, Robot Calibration, Digital Twin, etc.
Who Should Enroll?
- Those who have basic programming skills.
Interested to Enroll?
If yes, then check out all details here- Industrial Robotics
11. IBM Applied AI Professional Certificate– Coursera
Rating- | 4.6/5 |
Time to Complete- | 7 months (if you spend 4 hours/week) |
Level- | Beginner Level |
This is a Professional Certificate program offered by IBM. In this program, you will get a solid understanding of AI technology, its applications, and its use cases.
This certificate program will teach you concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs.
If you have no programming knowledge, then this program will teach you Python skills to design, build, and deploy AI applications on the web.
Throughout this certificate, you will build several projects that showcase proficiency in applying AI and building AI-powered solutions. There are 6 courses in this Certificate Course.
Who Should Enroll?
- Those who are beginners and want to learn Artificial Intelligence concepts in-depth.
Interested to Enroll?
If yes, then check out all details here-IBM Applied AI Professional Certificate.
12. Become a Deep Reinforcement Learning Expert– Udacity
Rating- | 4.6/5 |
Time to Complete- | 4 months (If you spend 10 hours per week) |
Level- | Advanced |
This Become a Deep Reinforcement Learning Expert is an advanced Nanodegree Program offered by Udacity. This program is not for beginners. In this Nanodegree program, you will learn reinforcement learning fundamentals.
This Nanodegree program is based on practical learning which means you will work on various projects to strengthen your concepts of reinforcement learning.
By applying deep learning architectures to reinforcement learning tasks, you will understand the concepts. This Nanodegree program will also cover the theory of evolutionary algorithms and policy-gradient methods.
Their Technical mentor support will help you and guide you throughout the Nanodegree Program. There are 4 courses in this program.
Who Should Enroll?
- Those who have Intermediate to advanced Python experience and intermediate statistics and machine learning knowledge.
Interested to Enroll?
If yes, then check it out here– Become a Deep Reinforcement Learning Expert
And here the list ends. I hope these Best Robotics Courses Online & Certifications will help you. I would suggest you bookmark this article for future referrals.
Now it’s time to wrap up.
Conclusion
In this article, I tried to cover the 12 Best Robotics Courses Online & Certifications. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Enjoy Learning
You May Also Be Interested In
Best Resources to Learn Computer Vision (YouTube, Tutorials, Courses, Books, etc)- 2024
Best Certification Courses for Artificial Intelligence- Beginner to Advanced
Best Natural Language Processing Courses Online to Become an Expert
Best Artificial Intelligence Courses for Healthcare You Should Know in 2024
What is Natural Language Processing? A Complete and Easy Guide
Best Books for Natural Language Processing You Should Read
Augmented Reality Vs Virtual Reality, Differences You Need To Know!
What are Artificial Intelligence Examples? Real-World Examples.
Thank YOU!
Explore more about Artificial Intelligence.
Though of the Day…
‘ It’s what you learn after you know it all that counts.’
– John Wooden
Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.