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.

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision
★ 4.7 (49) · Advanced · Guided Project · Less Than 2 Hours

University of Illinois Urbana-Champaign
Skills you'll gain: Health Informatics, Machine Learning Methods, Deep Learning, Machine Learning, Machine Learning Algorithms, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Healthcare Project Management, Medical Science and Research, Unsupervised Learning, Program Development
★ 3.1 (30) · Advanced · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Health Informatics, Machine Learning, Medical Science and Research, Unsupervised Learning, Dimensionality Reduction
★ 3.9 (15) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.5 (100) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Tensorflow, Generative AI Agents, Recurrent Neural Networks (RNNs), BeeAI, Transfer Learning, Deep Learning, Convolutional Neural Networks, AI Orchestration, Artificial Neural Networks, Responsible AI, Agentic Workflows, Agentic systems, Data Ethics, Model Training, Scalability, Model Optimization, Applied Machine Learning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks
★ 4.7 (218) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Fine-tuning, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Training, Transfer Learning, Generative AI, Large Language Modeling, Natural Language Processing, Hugging Face, Generative Model Architectures, Data Preprocessing, Model Optimization, Data Processing, Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Model Training, Model Evaluation, Data Preprocessing
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Fine-tuning, Deep Learning, Applied Machine Learning, Tensorflow, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Model Training
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Optimization, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Model Training, Machine Learning Algorithms, Data Analysis
Advanced · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Model Training, Tensorflow, A/B Testing, Responsible AI, Data Processing, Convolutional Neural Networks, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Model Deployment, Machine Learning, Recurrent Neural Networks (RNNs), Dimensionality Reduction
Advanced · Course · 1 - 3 Months