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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


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    T

    Technical University of Denmark (DTU)

    Introduction to solar cells

    Skills you'll gain: Semiconductors, Sustainable Technologies, Materials science, Electrical Engineering, Electrical Power, Basic Electrical Systems, Electronic Components, Emerging Technologies, Physics, Mathematical Modeling, Energy and Utilities, Environmental Issue, Manufacturing Processes, Engineering Calculations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.5K reviews

    Beginner · Course · 1 - 3 Months

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    University of Pennsylvania

    Artificial Intelligence Essentials

    Skills you'll gain: Agentic systems, Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Liberal Arts

    4.4
    Rating, 4.4 out of 5 stars
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    32 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Algorithms for Battery Management Systems

    Skills you'll gain: Electrical Safety, Electrical Systems, High Voltage, Simulations, Electronic Components, Safety Standards, Estimation, Control Systems, Basic Electrical Systems, Thermal Management, Mathematical Modeling, Power Electronics, Electrical Power, Failure Analysis, Probability, Electrical Engineering, Energy and Utilities, Model Evaluation, Simulation and Simulation Software, Machine Learning Methods

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    2.6K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Rice University

    An Introduction to Interactive Programming in Python (Part 2)

    Skills you'll gain: Application Development, Object Oriented Programming (OOP), Interactive Design, User Interface (UI), Animations, Game Design, Python Programming, Computer Programming, Data Structures, Debugging

    4.9
    Rating, 4.9 out of 5 stars
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    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    C++ For C Programmers, Part B

    Skills you'll gain: C++ (Programming Language), Software Design Patterns, Object Oriented Programming (OOP), C (Programming Language), Debugging, Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Game Design

    4.5
    Rating, 4.5 out of 5 stars
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    332 reviews

    Intermediate · Course · 1 - 3 Months

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    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    1.1K reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Alberta

    Client Needs and Software Requirements

    Skills you'll gain: Requirements Analysis, Requirements Elicitation, Requirements Management, Functional Requirement, Business Requirements, Product Requirements, Backlogs, User Requirements Documents, Scope Management, Change Control, User Story, System Requirements, Client Services, Acceptance Testing, Agile Software Development, Prioritization

    4.8
    Rating, 4.8 out of 5 stars
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    3.1K reviews

    Mixed · Course · 1 - 4 Weeks

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    National Taiwan University

    計算機程式設計 (Computer Programming)

    Skills you'll gain: Programming Principles, Computer Programming, C (Programming Language), Data Structures, Computer Science, Algorithms, Computational Logic, Functional Specification, Command-Line Interface, Debugging, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
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    369 reviews

    Mixed · Course · 1 - 3 Months

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    U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
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    866 reviews

    Beginner · Course · 1 - 3 Months

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    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Artificial Intelligence, Recurrent Neural Networks (RNNs)

    4.6
    Rating, 4.6 out of 5 stars
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    369 reviews

    Intermediate · Course · 1 - 4 Weeks

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    K

    KodeKloud

    DevOps Mastery

    Skills you'll gain: Jenkins, Terraform, Infrastructure as Code (IaC), Linux Administration, Kubernetes, Ansible, Docker (Software), CI/CD, Version Control, Continuous Integration, YAML, Microservices, Devops Tools, GitHub, Containerization, Operating System Administration, Git (Version Control System), General Networking, DevOps, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    237 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Semiconductor Physics

    Skills you'll gain: Semiconductors, Electrical Engineering, Materials science, Electronic Components, Physics, Electronics, Applied Mathematics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    297 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Introduction to solar cells: Technical University of Denmark (DTU)
  • Artificial Intelligence Essentials: University of Pennsylvania
  • Algorithms for Battery Management Systems: University of Colorado Boulder
  • An Introduction to Interactive Programming in Python (Part 2): Rice University
  • C++ For C Programmers, Part B: University of California, Santa Cruz
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Client Needs and Software Requirements : University of Alberta
  • 計算機程式設計 (Computer Programming): National Taiwan University
  • Combinatorics and Probability: University of California San Diego
  • Generative AI and LLMs: Architecture and Data Preparation: IBM

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