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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


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    Vanderbilt University

    Applied AI

    Skills you'll gain: ChatGPT, Prompt Engineering, Agentic Workflows, Claude Code, Prompt Patterns, Generative AI Agents, AI Enablement, Prompt Engineering Tools, AI powered creativity, Multimodal Prompts, AI Product Strategy, Anthropic Claude, AI Orchestration, Agentic systems, Generative AI, AI Workflows, AI Personalization, AI Integrations, AI Security, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
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    11K reviews

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    Se préparer au Professional Cloud Database Engineer

    Skills you'll gain: Data Migration, Google Cloud Platform, Database Administration, Cloud Engineering, Database Design, Database Development, Database Management, Database Architecture and Administration, Cloud Deployment, Database Management Systems, Database Systems, Databases, Cloud Services, Scalability, Data Integrity

    Advanced · Course · 1 - 3 Months

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    SkillsBooster Academy

    AI for Reporting and Presentation Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Prompt Engineering Tools, Presentations, Microsoft PowerPoint, Data Presentation, Anthropic Claude, Google Gemini, Data Visualization, AI literacy, Microsoft Copilot, Generative AI, Performance Reporting, Business Reporting, Visual Design, Content Creation, Artificial Intelligence, Google Workspace, Creative Design, Target Audience

    Beginner · Course · 1 - 3 Months

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    Whizlabs

    AWS: Introduction to Cloud Computing

    Skills you'll gain: Cloud Deployment, Cloud Computing Architecture, Cloud Computing, Cloud Services, Cloud Infrastructure, Public Cloud, Amazon Web Services, Cloud Platforms, Cloud Security, Cloud Management, Hybrid Cloud Computing, User Accounts

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Advanced Web Services and Application Deployment with .NET 9

    Skills you'll gain: ASP.NET, Restful API, Containerization, Application Deployment, .NET Framework, Test Automation, Docker (Software), Kubernetes, API Testing, Web Services, Integration Testing, Application Programming Interface (API), Browser Compatibility, C# (Programming Language), API Design, DevOps, User Interface (UI)

    Intermediate · Course · 1 - 3 Months

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    Packt

    Foundations of Linux Kernel Development

    Intermediate · Course · 1 - 3 Months

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    KodeKloud

    DevOps Pro: Linux, Docker, Kubernetes, CI/CD & IaC

    Skills you'll gain: Kubernetes, Bash (Scripting Language), Jenkins, Terraform, Continuous Integration, Web Servers, Amazon CloudWatch, IT Automation, Linux Commands, Nginx, Cloud Deployment, Operating System Administration, Firewall, DevOps, Infrastructure As A Service (IaaS), Systems Architecture, Cloud Infrastructure, Git (Version Control System), Data Storage, Role-Based Access Control (RBAC)

    Intermediate · Specialization · 3 - 6 Months

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    Whizlabs

    AWS: Database & Integration

    Skills you'll gain: Amazon DynamoDB, Amazon Web Services, Cloud-Based Integration, Cloud Applications, AWS Kinesis, Event-Driven Programming, Cloud Computing Architecture, NoSQL, Cloud-Native Computing, Relational Databases, Databases, Data Integration, Database Management, Database Management Systems, Serverless Computing

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Deep Learning for Time Series Cookbook

    Skills you'll gain: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture

    Intermediate · Course · 1 - 3 Months

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    John Wiley & Sons

    Foundations of Prompt Engineering for Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, Responsible AI, Generative Model Architectures, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Context Engineering, Data Ethics, Concision, Token Optimization, LLM Application, AI powered creativity, Natural Language Processing, Interaction Design

    Intermediate · Course · 1 - 3 Months

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    John Wiley & Sons

    Foundations of Relational Databases and SQL

    Skills you'll gain: Database Design, Relational Databases, SQL, Database Management, Database Theory, Database Systems, Data Integrity, Data Store, Database Development, Network Model, Database Architecture and Administration, Database Management Systems, Systems Development, Microsoft SQL Servers, Performance Tuning, Requirements Analysis, Systems Development Life Cycle, Data Modeling, Data Architecture, Data Manipulation

    Beginner · Course · 1 - 3 Months

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    Simplilearn

    Orchestrating Agent Teams with CrewAI Training for Beginners

    Skills you'll gain: Agentic Workflows, Agentic systems, Generative AI Agents, LLM Application, Application Development, AI Integrations, Automation, Tool Calling, Build Tools, Software Development Tools, Development Environment

    Beginner · Course · 1 - 4 Weeks

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

  • Applied AI: Vanderbilt University
  • Se préparer au Professional Cloud Database Engineer: Google Cloud
  • AI for Reporting and Presentation Design: SkillsBooster Academy
  • AWS: Introduction to Cloud Computing: Whizlabs
  • Advanced Web Services and Application Deployment with .NET 9: Packt
  • Foundations of Linux Kernel Development: Packt
  • DevOps Pro: Linux, Docker, Kubernetes, CI/CD & IaC: KodeKloud
  • AWS: Database & Integration: Whizlabs
  • Deep Learning for Time Series Cookbook: Packt
  • Foundations of Prompt Engineering for Generative AI: John Wiley & Sons

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