Structural engineering courses can help you learn load analysis, material properties, design principles, and construction methods. You can build skills in seismic design, structural dynamics, and the use of finite element analysis for modeling. Many courses introduce tools like AutoCAD for drafting, SAP2000 for structural analysis, and Revit for building information modeling, showing how these skills are applied in real projects to ensure safety and efficiency in construction.

Skills you'll gain: Exploratory Data Analysis, Data Preprocessing, Data Analysis, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Prompt Patterns, LLM Application, MLOps (Machine Learning Operations), Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Authentications, Software Testing, Debugging, Object-Relational Mapping, Authorization (Computing), MySQL, Test Case, Web Development, Back-End Web Development, Web Applications, Software Documentation, File Management, Model View Controller, Virtual Environment
Mixed · Course · 1 - 3 Months
Skills you'll gain: Scalability, Microservices, Cloud-Native Computing, Kubernetes, System Monitoring, Cloud Security, Role-Based Access Control (RBAC), Secure Coding, Application Security, Service Management, Security Engineering, IT Service Management, Identity and Access Management, Software-Defined Networking
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Variance Analysis, Dashboard, Key Performance Indicators (KPIs), Power BI, Performance Analysis, Performance Measurement, Web Analytics and SEO, Performance Reporting, Google Analytics, Performance Metric, Business Metrics, Analysis, Statistical Analysis, Business Intelligence, Trend Analysis, AI Enablement, Search Engine Optimization, Management Reporting, Data-Driven Decision-Making, Data Integration
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Generative Model Architectures, Google Cloud Platform, Image Analysis, Model Deployment, Prompt Engineering
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Cloud Computing Architecture, Amazon Elastic Compute Cloud, Data Visualization Software, Cloud Storage, Dashboard, Scalability, Data Strategy, Data Integration, Real Time Data, Data Storage
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Investigation, NIST 800-53, Cyber Security Assessment, Personally Identifiable Information, Failure Analysis, Root Cause Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Data Preprocessing, Data Visualization, Data Analysis, Data Manipulation, Feature Engineering
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Artificial Neural Networks, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Simulations, 3D Modeling
Mixed · Course · 1 - 3 Months