Robotics engineer courses can help you learn programming for robotic systems, control theory, sensor integration, and machine learning applications. You can build skills in designing robotic components, troubleshooting systems, and implementing automation solutions. Many courses introduce tools like ROS (Robot Operating System), MATLAB for simulations, and CAD software for designing parts, showing how these skills come together to create functional robots that can perform tasks in various environments.

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
Beginner · Specialization · 1 - 3 Months

Board Infinity
Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Artificial Neural Networks, OpenAI, Artificial Intelligence, ChatGPT, Large Language Modeling, Deep Learning, Machine Learning, Responsible AI
Beginner · Course · 1 - 4 Weeks

Universitat de Barcelona
Skills you'll gain: Sustainable Development, Sustainable Technologies, Materials science, Education Software and Technology, Robotics, Chemistry, Social Impact, Environmental Issue, Emerging Technologies, Innovation, Electronics, Safety Standards, Experimentation, Ethical Standards And Conduct, Health Technology, Physics
Beginner · Course · 1 - 3 Months

Whizlabs
Skills you'll gain: Amazon DynamoDB, Amazon Redshift, Databases, Database Architecture and Administration, Relational Databases, Apache Cassandra, NoSQL, Amazon S3, Data Warehousing, SQL, Redis
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Gemini, AI Security, Cloud Deployment, Google Cloud Platform, Cloud Security, Generative AI, Vulnerability Assessments, Security Controls, Security Engineering
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Anomaly Detection, Applied Machine Learning, Network Security, Machine Learning, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Evaluation, Tensorflow, Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Development Environment, Image Analysis, Machine Learning, Deep Learning, Data Persistence, Artificial Neural Networks
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Encryption, Cybersecurity, Threat Detection, Exploitation techniques, Data Encryption Standard, Threat Modeling, Security Awareness, Cryptography, Cyber Attacks, Data Security, Databases, Malware Protection, Penetration Testing, AI Security, Vulnerability Assessments, Application Security, Security Engineering, Artificial Intelligence, SQL
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming
Beginner · Course · 3 - 6 Months