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: Business Logic
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Context Protocol, Load Balancing, Containerization, Docker (Software), Model Deployment, Restful API, API Design, Application Programming Interface (API), Authentications, OAuth, Tool Calling, Scalability, JSON, Servers, Application Performance Management
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

École Nationale des Ponts et Chaussées
Skills you'll gain: Socioeconomics, Social Impact, Sustainable Development, Market Dynamics, Civil Engineering, Economic Development, Market Analysis, Sustainable Technologies, Public Policies, Environmental Policy, Electric Power Systems, Environmental Science, Economics, Cost Benefit Analysis, Climate Change Mitigation, Innovation
Beginner · Course · 3 - 6 Months

Lund University
Skills you'll gain: Sustainable Business, Sustainable Design, Sustainable Development, Environment and Resource Management, Environmental Engineering, Strategic Sourcing, Environmental Science, Supply Management, Social Impact, Environmental Policy, Business Analysis, Innovation, Stakeholder Engagement, Policy Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health
Beginner · Course · 1 - 3 Months

Skills you'll gain: Infrastructure as Code (IaC), Cloud Security, Data Integrity, Data Infrastructure, Cloud Infrastructure, Data Management, Data Security, Infrastructure Security, Encryption, Private Cloud, Security Controls, Network Security, Cloud Storage, Identity and Access Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Cloud Deployment, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Process Mapping, MLOps (Machine Learning Operations), Operational Efficiency, Large Language Modeling, Model Evaluation, Process Optimization, Workflow Management, Cost Reduction, Cost Management, User Acceptance Testing (UAT), Vector Databases, Standard Operating Procedure, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Beginner · Specialization · 3 - 6 Months