Robotics courses can help you learn programming for robot control, sensor integration, and mechanical design principles. You can build skills in automation, system troubleshooting, and algorithm development for tasks like navigation and object recognition. Many courses introduce tools such as ROS (Robot Operating System), CAD software for design, and simulation platforms that allow you to test your robotic systems in virtual environments.

Universidad de Palermo
Skills you'll gain: Civil Engineering, Sustainable Architecture, Building Design, Innovation, Sustainable Design, Structural Engineering, Robotics, 3D Modeling
Beginner · Course · 1 - 4 Weeks

L&T EduTech
Skills you'll gain: Embedded Systems, Control Systems, Programmable Logic Controllers, Robotics, Internet Of Things, C (Programming Language), Automation, Electronics, Simulation and Simulation Software, Integration Testing, Cloud Computing, Matlab
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, AI Product Strategy, BeeAI, LangChain, Machine Learning, Data Preprocessing, Supervised Learning, ChatGPT, Artificial Intelligence, OpenAI, Python Programming, Model Evaluation, Agentic systems, Model Deployment, Regression Analysis
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Embedded Software, Real-Time Operating Systems, Embedded Systems, Software Architecture, Pseudocode, Systems Architecture, Software Systems, Hardware Architecture, Computer Hardware, System Programming, Computer Architecture, Software Design, Cross Platform Development, Application Design, Systems Design, Software Design Patterns, Internet Of Things, Systems Integration, Maintainability, Peripheral Devices
Intermediate · Specialization · 1 - 3 Months

MathWorks
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis
Intermediate · Specialization · 1 - 3 Months

Packt
Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Machine Learning Methods, Motion Graphics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning
Advanced · Course · 1 - 4 Weeks