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.

Pearson
Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Fine-tuning, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Model Training, Model Optimization, Image Quality
Intermediate · Specialization · 1 - 4 Weeks
University of Colorado Boulder
Skills you'll gain: AI literacy, Generative AI, Responsible AI, Ethical Standards And Conduct, Robotics, Healthcare Ethics, Image Analysis, Workforce Planning, Information Privacy, Information Technology, Robotic Process Automation, Social Impact, Large Language Modeling, Case Studies, Energy and Utilities
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Generative AI, LLM Application, Model Training, Large Language Modeling, Fine-tuning, Benchmarking, Artificial Neural Networks
Advanced · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)
★ 5 (8) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Model Training, Google Cloud Platform, Data Preprocessing, Model Optimization, Data Processing, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Data Transformation
★ 3.4 (7) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Text Mining, Computer Vision, Model Optimization, Data Preprocessing, Fine-tuning, Tensorflow, Deep Learning, Model Deployment
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Model Training, Artificial Neural Networks, Convolutional Neural Networks, Model Optimization, Data Processing, Network Model, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Natural Language Processing, Deep Learning, Model Training, Artificial Neural Networks, Forecasting, Applied Machine Learning
★ 2.3 (7) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Model Deployment, Data Preprocessing, Model Training, Deep Learning, Data Processing, Model Optimization, Cloud Deployment, Machine Learning Methods, Data Transformation, Data Cleansing, Artificial Neural Networks, Data Pipelines
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
Advanced · Specialization · 1 - 3 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
Intermediate · Course · 1 - 3 Months

Pearson
Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Model Training, Model Optimization, Machine Learning Algorithms, Network Performance Management, Network Architecture
Intermediate · Course · 1 - 4 Weeks