Food science courses can help you learn about food safety, nutrition, sensory evaluation, and food processing techniques. You can build skills in recipe formulation, quality control, and understanding food chemistry. Many courses introduce tools like statistical software for analyzing taste tests, laboratory equipment for testing food properties, and food modeling software to predict shelf life, allowing you to apply these skills in real-world food production and innovation.

Skills you'll gain: Data Modeling, Analytical Skills, Analysis, Data Management, Business Reporting, Data Manipulation, Security Awareness
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Unit Testing, Angular, Software Testing, Frontend Performance, Software Architecture, Software Design, Application Programming Interface (API), Restful API, Performance Tuning, Authentications, Authorization (Computing), Scalability, TypeScript
Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Unit Testing, Data Structures, Java, JUnit, Performance Tuning, Debugging, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science, Unstructured Data
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Content Creation, Social Media Content, Search Engine Optimization, Digital Content, Social Media Marketing, Marketing Design, Web Analytics and SEO, Graphic Design, Content Strategy, Style Guides, Content Marketing, Content Management, Marketing Materials, Branding, Brand Management, Auditing, Sales Process, Report Writing
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Skills you'll gain: Electrical Safety, Electrical Systems, High Voltage, Simulations, Safety Standards, Electronic Components, Estimation, Control Systems, Basic Electrical Systems, Thermal Management, Mathematical Modeling, Power Electronics, Electrical Power, Probability, Electrical Engineering, Electronic Systems, Model Evaluation, Simulation and Simulation Software, Engineering Calculations, Machine Learning Methods
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Caltech
Skills you'll gain: Physical Science, Physics, General Science and Research, Systems Of Measurement, Mathematical Modeling
Mixed · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), HTML and CSS, Web Design, Responsive Web Design, Usability, User Interface (UI), Browser Compatibility, Web Development, Javascript, Debugging
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Governance, Data Strategy, Data Migration, Correlation Analysis, Security Controls, Data Quality, Data Management, Database Management, Data Infrastructure, SQL, Data Integrity, Data Security, Data Validation, Data Pipelines, Data Warehousing, Dashboard, Statistical Analysis, Cost Benefit Analysis, Auditing, Root Cause Analysis
Advanced · Course · 3 - 6 Months

Skills you'll gain: UI Components, Business Requirements, Workflow Management, Product Requirements, Code Review, Project Design, Blogs, E-Commerce, Front-End Web Development, Software Installation, Content Management Systems, System Configuration, Program Implementation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Vision Transformer (ViT), Transfer Learning, Recurrent Neural Networks (RNNs), Embeddings, LLM Application, Large Language Modeling, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Distributed Computing, Performance Tuning, Scalability, Computer Vision
Intermediate · Course · 1 - 4 Weeks