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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: Free Trial
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    Siemens

    Expedite – Skills for Industry: Design and Manufacturing

    Skills you'll gain: Product Lifecycle Management, Conceptual Design, Sustainable Design, Project Risk Management, Project Planning, Sustainable Engineering, Product Development, Product Management, Product Design, Manufacturing and Production, Design and Product, Risk Management, Design Software, Engineering, Time Management, Internet Of Things, Cross-Functional Collaboration, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Communication

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 3 Months

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    Packt

    Interview Questions and Real-World Applications

    Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Debugging, Problem Solving, C++ (Programming Language), Performance Tuning, Theoretical Computer Science, Solution Design, Python Programming, Computational Logic

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture, Data Science

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Logical Operations

    Intro to Python: Conditionals, Loops, and Functions

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Code Reusability, Maintainability, Programming Principles, Computer Programming, Python Programming, Software Development

    Mixed · Course · 1 - 4 Weeks

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    Imperial College London

    Tobacco Control: Agile Policy, Research and Practice

    Skills you'll gain: Health Policy, Research Methodologies, Research, Public Health and Disease Prevention, Public Health, Healthcare Industry Knowledge, Epidemiology, Health Promotion, Substance Abuse, Policy Analysis, Research, and Development, Medical Science and Research, Policy Analysis, Lobbying, Advocacy, Governance

    5
    Rating, 5 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Programming Generative AI

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Fine-tuning, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Prompt Engineering, Model Training, Image Quality

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
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    EDUCBA

    Mastering Python Programming: Apply, Analyze, and Build

    4.8
    Rating, 4.8 out of 5 stars
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    21 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    LearnKartS

    Agentic AI Foundations: Build RAG & MCP Chatbots

    Skills you'll gain: Agentic systems, Retrieval-Augmented Generation, Google Gemini, Agentic Workflows, Generative AI Agents, Node.JS, OpenAI API, Model Context Protocol, Prompt Engineering, LLM Application, Development Environment, AI Integrations, AI Workflows, Angular, Generative AI, Large Language Modeling, Tool Calling, Server Side, Embeddings, Frontend Integration

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Simplilearn

    Foundations of Generative AI Models

    Skills you'll gain: Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Generative Adversarial Networks (GANs), Autoencoders, Model Training, Model Evaluation, Large Language Modeling, Real Time Data, Scalability, Responsible AI

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 1

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Generative AI, Generative Model Architectures, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    GenAI for DevOps Practitioners

    Skills you'll gain: Infrastructure as Code (IaC), Responsible AI, Generative AI, DevOps, Devops Tools, CI/CD, Continuous Deployment, AI literacy, Software Documentation, Kubernetes, AI Integrations, Data Ethics, Automation, Innovation, Productivity

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    EDUCBA

    Build & Script a Breakout Game in Unity

    Skills you'll gain: Unity Engine, Game Design, Video Game Development, Animation and Game Design, Software Architecture, Visual Design, Visualization (Computer Graphics), Object Oriented Design, Code Reusability, Design, Course Development, Scripting, C# (Programming Language), Interactive Learning, Systems Development, Project Design, Physics

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Expedite – Skills for Industry: Design and Manufacturing: Siemens
  • Interview Questions and Real-World Applications: Packt
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Intro to Python: Conditionals, Loops, and Functions: Logical Operations
  • Tobacco Control: Agile Policy, Research and Practice: Imperial College London
  • Programming Generative AI: Pearson
  • Mastering Python Programming: Apply, Analyze, and Build: EDUCBA
  • Agentic AI Foundations: Build RAG & MCP Chatbots: LearnKartS
  • Foundations of Generative AI Models: Simplilearn
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson

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