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.

University of Michigan
Skills you'll gain: C (Programming Language), Data Structures, Application Security, System Programming, Programming Principles, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Nutritional Assessment, Predictive Analytics, Maternal Health, Machine Learning, Diagnostic Tests, Food and Beverage, Health Systems, Operating Cost, Nutrition and Diet, Market Dynamics, Water Resources, Food Safety and Sanitation, Manufacturing and Production, Behavioral Economics, Business Economics, Environment, Molecular Biology, Production Management, Consumer Behaviour, Molecular, Cellular, and Microbiology
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Intermediate · Guided Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Machine Learning Algorithms, Model Evaluation, Artificial Intelligence, Model Deployment, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Mixed · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Relational Databases, Object-Relational Mapping, Database Management, Database Design, SQL, Databases, Data Persistence, Query Languages, Data Integrity, Data Manipulation, Python Programming, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Data Visualization, Google Sheets, Interactive Data Visualization, Machine Learning, Data Manipulation, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Cloud API, Data Structures, Data Processing, Application Programming Interface (API), Cloud Applications, Real Time Data, Data Manipulation, System Programming, Cryptography, Encryption, Python Programming, Command-Line Interface, Software Testing
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tool Calling, Generative AI Agents, Retrieval-Augmented Generation, LLM Application, Agentic systems, Debugging, Prompt Engineering, Document Management
Beginner · Project · Less Than 2 Hours

Universidad de los Andes
Skills you'll gain: Health Education, Education and Training, Family Support, Advocacy, Media and Communications, Working With Children, Community Development, Human Development, Cultural Diversity, Child Development, Social Network Analysis
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Data Pipelines, Data Cleansing, Data Governance, Data Transformation, Cloud Security, Data Visualization, Extract, Transform, Load, Data Integration, Data Processing, Data Management, Data Migration, Data Collection, Cloud Computing, Cloud Storage, Data Analysis, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Machine Learning, Applied Machine Learning, Data Cleansing, Supervised Learning, Embeddings, Data Strategy, MLOps (Machine Learning Operations), Dataflow, Data Pipelines, Model Deployment, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months