Machine design courses can help you learn about mechanical components, system dynamics, and material selection. You can build skills in creating detailed design specifications, conducting stress analysis, and optimizing performance through simulations. Many courses introduce tools like CAD software for drafting and modeling, as well as finite element analysis (FEA) tools to evaluate design integrity. You'll also explore manufacturing processes and prototyping techniques, allowing you to apply your knowledge in practical settings.

L&T EduTech
Skills you'll gain: Structural Analysis, Building Codes, Structural Engineering, Civil Engineering, Engineering Analysis, Simulation and Simulation Software, Engineering Practices, Drafting and Engineering Design, Design Specifications, Engineering Design Process, Engineering Calculations, Planning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Embedded Systems, Embedded Software, Internet Of Things, Vibrations, Control Systems, Machine Controls, Civil Engineering, Electronic Systems, Electronics Engineering, Structural Engineering, Energy and Utilities, Electronics, Maintenance, Repair, and Facility Services, Automation, Integrated Development Environments, Environmental Monitoring, Traffic Flow Optimization, System Monitoring, Continuous Monitoring, Communication Systems
Intermediate · Course · 1 - 3 Months

University at Buffalo
Skills you'll gain: Manufacturing Operations, Manufacturing Processes, Product Design, Digital Analysis, Manufacturing and Production, Business Analysis Tools, Production Process, Digital Transformation, Design Software, Digital Design, IT Infrastructure, Hardware Architecture, Technology Strategies, Information Technology
Beginner · Course · 1 - 3 Months

University at Buffalo
Skills you'll gain: Digital Transformation, Data Sharing, Manufacturing Operations, Business Transformation, Data Storage Technologies, Document Management, Product Lifecycle Management, Data Storage, Process Management, Data Strategy, Interoperability, Goal Setting, Knowledge Transfer
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining
Intermediate · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms
Beginner · Specialization · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electrical and Computer Engineering, Network Routing, Computational Logic, Electrical Engineering, Data Structures, Algorithms, Applied Mathematics, Mathematical Modeling, Calculus
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Statistical Machine Learning, Machine Learning Methods, Applied Machine Learning, Machine Learning, Generative Model Architectures, Machine Learning Algorithms, Classification Algorithms, Model Optimization, Regression Analysis, Probability & Statistics
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Model Optimization, Predictive Analytics, Classification Algorithms
Intermediate · Course · 1 - 3 Months