Robotics engineer courses can help you learn programming for robotic systems, control theory, sensor integration, and machine learning applications. You can build skills in designing robotic components, troubleshooting systems, and implementing automation solutions. Many courses introduce tools like ROS (Robot Operating System), MATLAB for simulations, and CAD software for designing parts, showing how these skills come together to create functional robots that can perform tasks in various environments.

Arizona State University
Skills you'll gain: Semiconductors, Analytical Testing, Engineering, Scientific, and Technical Instruments, Analytical Chemistry, Failure Analysis, Materials science, Electronics, Image Analysis, Laboratory Testing, Electronic Components, Laboratory Equipment, Quantitative Research, Scientific Visualization, Qualitative Research
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

LearnQuest
Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Model Evaluation, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Data Cleansing, Artificial Neural Networks, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, Systems Architecture, Analysis, Deep Learning, Python Programming
Beginner · Specialization · 3 - 6 Months

Arizona State University
Skills you'll gain: Manufacturing Processes, Semiconductors, Mechanical Engineering, Materials science, Thermal Management, Failure Analysis, Reliability, Engineering Calculations
Beginner · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Microsoft Azure, Threat Modeling, Cloud Security, Continuous Monitoring, System Monitoring, Security Information and Event Management (SIEM), Security Management, Threat Detection, Threat Management, Application Performance Management, Event Monitoring, Vulnerability Management, Brute-force attacks, Incident Response, Query Languages
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Matlab, Transfer Learning, Traffic Flow Optimization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, OpenAI API, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Manipulation, Generative AI, Python Programming, Unstructured Data, Performance Metric, Machine Learning, JSON
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Data Preprocessing, Image Analysis, Machine Learning Methods, Data Import/Export, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks