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Food Science Courses

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.


Popular Food Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Social Sciences

    4.6
    Rating, 4.6 out of 5 stars
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    640 reviews

    Intermediate · Specialization · 3 - 6 Months

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    New
    Status: Free Trial
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    C

    Coursera

    Govern Your GenAI Data Safely

    Skills you'll gain: Data Governance, Role-Based Access Control (RBAC), Responsible AI, Governance, Data Management, Generative AI, Metadata Management, Security Controls, AI Security, Data Quality, Data Access, Identity and Access Management, Benchmarking, Data Security, Compliance Management, Quality Assurance and Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
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    828 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    Microsoft

    Microsoft Full-Stack Developer

    Skills you'll gain: CI/CD, Cascading Style Sheets (CSS), GitHub, C# (Programming Language), HTML and CSS, Azure DevOps, Load Balancing, Continuous Integration, Git (Version Control System), Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Full-Stack Web Development, Web Development, SQL, Microsoft Copilot, .NET Framework, Graph Theory

    4.6
    Rating, 4.6 out of 5 stars
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    359 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
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    P

    Packt

    HTML, CSS, and JavaScript Basics with Simple Projects

    Skills you'll gain: Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), User Interface (UI), User Experience Design, Web Design and Development, Development Environment, Front-End Web Development, Javascript, Web Development, Web Applications, Responsive Web Design, Microsoft Visual Studio, Real Time Data, Data Validation

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Packt

    SwiftUI - Build Amazing Apps - With Much Less Code

    Skills you'll gain: Swift Programming, Mobile Development, Apple iOS, Apple Xcode, Application Development, UI Components, Data Persistence, User Interface (UI), Debugging, User Interface (UI) Design, Data Structures, Data Modeling, Animations

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EC-Council

    Cybersecurity Attack and Defense Fundamentals

    Skills you'll gain: Digital Forensics, Penetration Testing, Network Security, Threat Management, Mobile Security, Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Public Key Infrastructure, Vulnerability Assessments, Cryptography, Security Controls, Vulnerability Scanning, Cybersecurity, Authorization (Computing), Malware Protection, Authentications, Identity and Access Management, Cyber Attacks, Threat Detection, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
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    791 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    C

    Coursera

    Optimize AI Prompts for Cost and Quality

    Skills you'll gain: Prompt Engineering, Responsible AI, Data Ethics, Applied Machine Learning, Project Design, AI Enablement, Operational Efficiency, Cost Management, Mitigation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    American Museum of Natural History

    Our Earth's Future

    Skills you'll gain: Climate Change Programs, Climate Change Mitigation, Social Sciences, Environmental Issue, Climate Change Adaptation, Socioeconomics, Economics, Policy, and Social Studies, Environment, Scientific Methods, Environmental Science, Physical Science, General Science and Research, Media and Communications, Hydrology, Mathematical Modeling, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    818 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
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    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular food science courses

  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
  • Govern Your GenAI Data Safely: Coursera
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
  • Microsoft Full-Stack Developer: Microsoft
  • HTML, CSS, and JavaScript Basics with Simple Projects: Packt
  • SwiftUI - Build Amazing Apps - With Much Less Code: Packt
  • Applied Social Network Analysis in Python: University of Michigan
  • Cybersecurity Attack and Defense Fundamentals: EC-Council
  • Optimize AI Prompts for Cost and Quality: Coursera

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