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: PreviewGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Performance Tuning, Natural Language Processing, Artificial Neural Networks
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing
Status: PreviewDeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Model Evaluation
Status: PreviewUniversity of Michigan
Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Analytics, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Status: PreviewGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining
Status: PreviewDeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Keras (Neural Network Library), Tensorflow, Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning
Status: PreviewUniversity of Colorado Boulder
Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms
Status: Free TrialSkills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
Status: Free TrialGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Large Language Modeling, Text Mining
Status: Free TrialSkills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
Status: NewStatus: Free TrialSkills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
In summary, here are 10 of our most popular robotics courses
- Attention Mechanism - Bahasa Indonesia: Google Cloud
- Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
- النماذج المتعاقبة: DeepLearning.AI
- 투자 기술의 혁신: AI: University of Michigan
- Statistical Learning for Engineering Part 2: Northeastern University
- Attention Mechanism - 繁體中文: Google Cloud
- Modèles de séquence: DeepLearning.AI
- 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
- Natural Language Processing - Deep Learning Models in Python: Packt
- Dikkat Mekanizması: Google Cloud
