Web application courses can help you learn front-end and back-end development, user interface design, and database management. You can build skills in coding languages like JavaScript and Python, as well as frameworks such as React and Node.js. Many courses also cover essential tools like Git for version control and SQL for database queries, showing how these skills come together to create dynamic and interactive web experiences.

Politecnico di Milano
Skills you'll gain: Large Language Modeling, LLM Application, Learning Strategies, Education Software and Technology, AI Personalization, Lifelong Learning, AI Enablement, Human Learning, Adult Learning Principles, Prompt Engineering Tools, Artificial Intelligence, Student-Centred Learning, Generative AI, Critical Thinking
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Adobe Illustrator, Document Management, File Management, Adobe Creative Cloud, Graphic and Visual Design, Graphic Design, Graphic and Visual Design Software, Visual Design, Cloud Storage, Workflow Management, Computer Graphic Techniques, Design Strategies, Creative Thinking, Creative Problem-Solving, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Kafka, Spring Boot, Real Time Data, Java, Unit Testing, Restful API, JSON, Integration Testing, Data Transformation, Scalability, Debugging
Intermediate · Course · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Geographic Information Systems, Unsupervised Learning, Image Analysis, Machine Learning, R Programming, Data Processing, Data Preprocessing, Classification Algorithms, Data Transformation, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Data Visualization, JSON, Dashboard, Data Visualization Software, Jupyter, Web Applications
Intermediate · Course · 1 - 3 Months

Skills you'll gain: OSI Models, TCP/IP, Network Monitoring, Network Protocols, Network Troubleshooting, Network Security, Network Administration, Network Analysis, Cyber Security Assessment, Linux
Intermediate · Guided Project · Less Than 2 Hours

Board Infinity
Skills you'll gain: Quality Assurance, Software Quality Assurance, Test Planning, Test Case, Continuous Integration, DevOps, Software Testing, Regression Testing, Test Execution Engine, Software Engineering Tools, Agile Methodology, Issue Tracking, Risk Management Framework, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Serverless Computing, Application Deployment, Cloud API, Google Cloud Platform, Cloud Storage, Application Programming Interface (API), Cloud Services, File Management, Data Migration
Intermediate · Project · Less Than 2 Hours

Starweaver
Skills you'll gain: Virtual Networking, Network Protocols, Network Planning And Design, Network Security, Network Performance Management, Network Architecture, Network Monitoring, Computer Networking, TCP/IP, Routing Protocols, Emerging Technologies, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML)
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