Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.
Skills you'll gain: Telecommunications, Electronics Engineering, Electronics, Schematic Diagrams, Electrical Engineering, Communication Systems, Electronic Systems, electromagnetics, Electrical and Computer Engineering, Hardware Design, Simulation and Simulation Software, Simulations, Performance Tuning, Verification And Validation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Scrum (Software Development), Team Building, Team Oriented, Team Management, Backlogs, Agile Project Management, Agile Software Development, Agile Product Development, Agile Methodology, Team Performance Management, Sprint Retrospectives, Team Leadership, Sprint Planning, Cross-Functional Collaboration, Case Studies, Project Management, Resilience
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Application Deployment, GitHub, Cloud Deployment, Performance Tuning, Unit Testing, Frontend Performance, System Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Instructional Strategies, Digital pedagogy, Student Engagement, Prompt Engineering Tools
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Application Programming Interface (API), Simple Object Access Protocol (SOAP), Application Deployment, Development Environment, Hibernate (Java), Back-End Web Development, Eclipse (Software), Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Webpack, Object Oriented Programming (OOP), Object Oriented Design, Full-Stack Web Development, JSON, Web Development Tools, Javascript, Event-Driven Programming, HTML and CSS, Application Programming Interface (API), Application Deployment, Web Applications, Web Development, Kanban Principles, Code Reusability, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Browser Compatibility, Programming Principles, Data Persistence
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: SQL, SAS (Software), Data Integrity, Data Manipulation, Query Languages, Relational Databases, Database Management, Data Transformation, Performance Tuning, Debugging, Ad Hoc Reporting
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Matplotlib, Data Processing, Plot (Graphics), Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Numerical Analysis, Exploratory Data Analysis, Data Cleansing, Data Mapping, Data Wrangling, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: AI Workflows, AI Orchestration, Agentic Workflows, Model Deployment, AI Security
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Workforce Development, Professional Networking, Computer Science, Professional Development, Academic Advising, Technology Strategies, Recruitment, Adaptability, Information Technology, Branding
★ 3.8 (6) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Enterprise Application Management, Performance Tuning, Database Management, Database Systems, Java Programming, Database Design, Data Integrity
Beginner · Course · 1 - 4 Weeks