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.

Dartmouth College
Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Model Optimization, Model Training, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Model Training, Google Cloud Platform, Deep Learning, Data Manipulation, Machine Learning Methods, Data Processing, Model Optimization, Feature Engineering, Data Import/Export, Embeddings, Data Pipelines, Artificial Neural Networks, Unstructured Data, Data Transformation
★ 4.6 (23) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Data Processing, Model Optimization, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Feature Engineering, Model Evaluation, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks, Development Environment
★ 4.5 (11) · Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Training, Model Evaluation, Tensorflow, Computer Vision, Machine Learning Methods, Development Environment, Image Analysis, Machine Learning, Deep Learning, Data Persistence, Artificial Neural Networks
★ 5 (7) · Beginner · Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model
★ 4 (7) · Intermediate · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Model Optimization, Tensorflow, Fine-tuning, Deep Learning, Performance Tuning, Model Training, Model Deployment, Artificial Neural Networks, Machine Learning Methods, Machine Learning Algorithms, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Integrations, System Configuration, Deep Learning, Real Time Data, Model Deployment, Computer Hardware, Software Installation, Application Deployment
Intermediate · Course · 3 - 6 Months

Simplilearn
Skills you'll gain: Reinforcement Learning, Agentic systems, Model Training
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Plot (Graphics), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Training, Model Evaluation, Model Optimization, Adaptability, Problem Solving
Intermediate · Guided Project · Less Than 2 Hours

Universidad de los Andes
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Network Architecture, Natural Language Processing, Model Training
★ 4.6 (8) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Data Processing, Development Environment, Predictive Analytics, Software Installation
★ 4.6 (17) · Mixed · Course · 1 - 4 Weeks