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: OpenAI API, Embeddings, Dimensionality Reduction, AI Integrations, OpenAI, Text Mining, Generative AI, Python Programming, Data Analysis, Program Development, Data Manipulation
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 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
Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, Agentic systems, LLM Application, Agentic Workflows, LangChain, AI Workflows, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Model Optimization, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Wrangling, Data Processing, AI Personalization, Machine Learning Methods, Model Training, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Neural Networks, Embeddings
Intermediate · 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, Natural Language Processing, Model Training, Model Evaluation, Data Preprocessing
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Image Quality, Data Preprocessing, Data Cleansing, Model Training, Data Quality, Generative AI, Fine-tuning, Data Collection, Data Wrangling, Data Transformation, Data Ethics, Data Integrity, Data Management, Metadata Management
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Artificial Neural Networks, Algorithms
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Optimization, Machine Learning Methods, Natural Language Processing, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Whizlabs
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: AI Security, Threat Modeling, IT Security Architecture, Security Engineering, Security Architecture Review, Security Requirements Analysis, Threat Management, Data Flow Diagrams (DFDs), Security Controls, Data Security, Key Management, Cloud Management, Software Documentation, Managed Services, Risk Analysis, Authentications, Technical Communication
Intermediate · Course · 1 - 4 Weeks