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  • Material Science

Material Science Courses

Material science courses can help you learn about the properties of materials, material selection, nanotechnology, and the principles of thermodynamics. You can build skills in analyzing material behavior, conducting experiments, and applying statistical methods to interpret data. Many courses introduce tools such as scanning electron microscopes, X-ray diffraction, and software for modeling material properties, that support practical applications in industries like aerospace, electronics, and biomedical engineering.


Popular Material Science Courses and Certifications


  • Status: New
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    Coursera

    Present Compelling Executive Reports with Data

    Skills you'll gain: Dashboard, Data Presentation, Presentations, Data Storytelling, Performance Reporting, Business Reporting, Management Reporting, Verbal Communication Skills, Concision, Data Visualization, Key Performance Indicators (KPIs), Business Metrics, Trend Analysis

    Intermediate · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Master of Engineering in Computer Engineering

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Natural Language Processing, Technical Communication, Embedded Systems, Digital Signal Processing, Embedded Software, Distributed Computing, Recurrent Neural Networks (RNNs), Image Analysis, Deep Learning, Machine Learning, Generative AI, Convolutional Neural Networks, Classification Algorithms, Engineering Design Process, Hardware Design, Text Mining, Electrical Engineering, Student Support and Services, Student Services

    Earn a degree

    Degree · 1 - 4 Years

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    EDUCBA

    Apply Multisim GUI Skills for Circuit Design

    Skills you'll gain: User Interface (UI), Simulation and Simulation Software, Verification And Validation, Electronic Systems, Electronic Components, Technical Design, Schematic Diagrams, Debugging, Computer-Aided Design

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Evaluate, Analyze, and Model Performance

    Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Technical Communication, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    AI Infrastructure : Cloud TPU

    Skills you'll gain: Tensorflow, AI Enablement, AI Workflows, Cloud Computing Architecture, Performance Tuning, Scenario Testing, Interoperability, Analysis

    Intermediate · Course · 1 - 4 Weeks

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    U

    Universidad Nacional Autónoma de México

    Espectroscopía infrarroja: Algoritmo de interpretación

    Skills you'll gain: Analytical Chemistry, Chemistry, Data Analysis, Laboratory Testing, Engineering, Scientific, and Technical Instruments, Structural Analysis, Laboratory Research, Verification And Validation, Data Flow Diagrams (DFDs), Laboratory Techniques, Problem Solving, Pivot Tables And Charts, Quality Control, Technical Documentation, Data Collection, Physics

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Optimizing and Deploying Computer Vision Models

    Skills you'll gain: Model Evaluation, Image Analysis, Computer Vision, Model Deployment, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Feature Engineering, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Quality, Data Manipulation, Performance Metric, Technical Communication

    Intermediate · Course · 1 - 3 Months

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    The Hong Kong University of Science and Technology

    Differential Equations for Engineers

    Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Electrical Engineering, Derivatives

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    G

    Google Cloud

    KI-Modelle mit Cloud Run bereitstellen und skalieren

    Skills you'll gain: Model Deployment, Google Cloud Platform, Serverless Computing, Cloud Deployment, Generative AI, Data Storage Technologies, AI Enablement, Data Storage, Cloud Services, Cloud Storage, Artificial Intelligence, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Large Language Modeling, Applied Machine Learning

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Python Programming

    Intermediate · Course · 1 - 4 Weeks

1…828384…834

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

  • Present Compelling Executive Reports with Data: Coursera
  • Master of Engineering in Computer Engineering: Dartmouth College
  • Apply Multisim GUI Skills for Circuit Design: EDUCBA
  • Evaluate, Analyze, and Model Performance: Coursera
  • AI Infrastructure : Cloud TPU: Google Cloud
  • Espectroscopía infrarroja: Algoritmo de interpretación: Universidad Nacional Autónoma de México
  • Automate ML Pipelines for Peak Performance: Coursera
  • Optimizing and Deploying Computer Vision Models: Coursera
  • Differential Equations for Engineers: The Hong Kong University of Science and Technology
  • KI-Modelle mit Cloud Run bereitstellen und skalieren: Google Cloud

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