Robotics Courses
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.
Popular Robotics Courses and Certifications
Status: Free TrialSkills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Model Training, Tensorflow, Network Architecture, Artificial Intelligence, Model Optimization, Machine Learning, Linear Algebra
Status: Free TrialJohns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning
Status: PreviewDeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Neural Networks, Applied Machine Learning, Machine Learning
Skills you'll gain: Reinforcement Learning, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Quantum computing, Machine Learning Algorithms, Artificial Intelligence, Model Optimization, Artificial Neural Networks, Algorithms, Python Programming
Status: PreviewUniversity of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, AI Personalization, Machine Learning Algorithms, Deep Learning, Jupyter, Supervised Learning, Model Training, Predictive Modeling, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Text Mining, Python Programming, Data Mining, Artificial Neural Networks
Status: PreviewSkills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Pipelines, Google Cloud Platform, Data Preprocessing, Model Training, Deep Learning, Data Processing, Data Cleansing, Cloud Deployment, Machine Learning Methods, Data Transformation, Artificial Neural Networks
Status: PreviewNortheastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Model Optimization, Deep Learning, Model Training, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Network Architecture, Probability & Statistics, Probability Distribution
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence
Status: Free TrialDartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Model, Network Architecture, Algorithms, Probability Distribution
Status: PreviewDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training
Status: NewStatus: Free TrialCoursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Optimization, Configuration Management, Image Analysis, Debugging, Data Presentation, Experimentation, Computer Vision, Data Visualization, Deep Learning, Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Root Cause Analysis, Cost Management, Machine Learning, Performance Analysis
Status: Free TrialSkills 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
In summary, here are 10 of our most popular robotics courses
- Foundations of Deep Learning and Neural Networks: Packt
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI
- AI & Quantum Computing – Zero to Expert Bootcamp: Packt
- 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
- Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
- Generative AI: Foundations and Concepts: Northeastern University
- Advanced Deep Learning Architectures: Edureka
- Machine Learning with Neural Networks: Dartmouth College
- 컨볼루션 신경망: DeepLearning.AI
