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.

Georgia Institute of Technology
Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Big Data, Structural Analysis, Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Object Oriented Design, Computer Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Engineering, Data Manipulation, Data Warehousing, Cloud Development, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, Generative AI, Data Science, Data Import/Export, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsive Web Design, Web Design, User Experience Design, Design Reviews, Wireframing, Usability Testing, User Centered Design, Design Research, User Interface (UI) Design, Prototyping, Mockups, Figma (Design Software), Information Architecture
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model
Mixed · Course · 1 - 3 Months

Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision
Intermediate · Professional Certificate · 3 - 6 Months

Atlassian
Skills you'll gain: Jira (Software), Agile Methodology, Scrum (Software Development), Kanban Principles, Agile Project Management, Lean Methodologies, Backlogs, Sprint Planning, Sprint Retrospectives, User Story, Workflow Management, Project Management, Product Requirements, Query Languages, Software Versioning, Continuous Improvement Process
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Business Analytics, Business Metrics, Analytics, Business Process Improvement, Business Intelligence, Business Process, Tableau Software, Business Analysis, Data Analysis, Key Performance Indicators (KPIs), Web Analytics, Data-Driven Decision-Making, Digital Transformation, E-Commerce, Financial Services, SQL, Decision Making
Mixed · Course · 1 - 3 Months

Meta
Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, Application Development, UI Components, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Hypertext Markup Language (HTML), Data Management
Beginner · Course · 1 - 4 Weeks
University of Virginia
Skills you'll gain: Usability Testing, Agile Product Development, User Story, Continuous Delivery, Persona Development, Agile Software Development, Sprint Planning, Peer Review, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Customer Analysis, Analytics, Product Development, Business Analytics, Persona (User Experience)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, AI Enablement, AI Workflows, Prompt Engineering, Business Workflow Analysis, Process Optimization, Responsible AI, Operational Efficiency, Data-Driven Decision-Making, Complex Problem Solving
Beginner · Course · 1 - 4 Weeks