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    • Civil Engineering

    Civil Engineering Courses

    Civil engineering courses can help you learn how to design, build, and maintain infrastructure like roads, bridges, buildings, and water systems.

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    Find the Best Civil Engineering Course for Your Goals

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Introduction to Git and GitHub

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Software Development Tools, Code Review, Software Engineering Tools, Issue Tracking, Command-Line Interface, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Battery Management Systems

      Skills you'll gain: Electrical Systems, Electrical Safety, Simulations, Thermal Management, Basic Electrical Systems, Estimation, Power Electronics, Control Systems, Mathematical Modeling, Systems Engineering, Electrical Engineering, Electronic Components, High Voltage, Electrical Power, Energy and Utilities, Manufacturing Processes, Matlab, Failure Analysis, Electrical Substation, Numerical Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Pontificia Universidad Católica de Chile

      Camino a la Excelencia en Gestión de Proyectos

      Skills you'll gain: Lean Methodologies, Lean Manufacturing, Process Improvement, Culture Transformation, Project Management, Process Mapping, Organizational Change, Continuous Improvement Process, Contract Management, Cross-Functional Collaboration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Hardware, System Design and Implementation, Electronic Systems, Embedded Systems, Eclipse (Software), Application Specific Integrated Circuits, Electrical and Computer Engineering, Schematic Diagrams, Program Development, Technical Design, Integrated Development Environments, Computer Architecture, Hardware Architecture, Software Development, Verification And Validation, Computer Engineering, Programming Principles, Development Testing

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Data Science, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Patient Treatment, Image Analysis, Machine Learning Methods, Applied Machine Learning, AI Personalization, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to civil engineering

    civil and architectural engineering
    1…222324…282

    In summary, here are 10 of our most popular civil engineering courses

    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Reinforcement Learning: University of Alberta
    • Introduction to Git and GitHub: Google
    • Algorithms for Battery Management Systems: University of Colorado Boulder
    • Camino a la Excelencia en Gestión de Proyectos: Pontificia Universidad Católica de Chile
    • FPGA Design for Embedded Systems: University of Colorado Boulder
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • Generative AI: Introduction and Applications: IBM
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Machine Learning on Google Cloud: Google Cloud

    Why Learn Civil Engineering?

    Civil engineering is the discipline behind the infrastructure that supports everyday life—from transportation and water systems to buildings and public spaces. It blends engineering principles with environmental, structural, and project management knowledge. Learning civil engineering can prepare you to contribute to sustainable development and help shape the built environment around the world.

    Frequently Asked Questions about Civil Engineering

    Popular options include Construction Management Specialization from Columbia University, Design Basics of RCC Buildings from L&T EduTech, and Introduction to Engineering Mechanics from Georgia Institute of Technology. These courses cover topics like structural design, project planning, transportation systems, and sustainable infrastructure.‎

    Yes. Many civil engineering courses offer a free audit option. You can access video lectures and reading materials at no cost. To complete graded assignments or earn a certificate, you’ll need to pay or apply for financial aid.‎

    You’ll learn foundational and advanced topics such as structural analysis, materials science, geotechnical engineering, water resources, and transportation systems. Some courses also cover project management, BIM (Building Information Modeling), and sustainability in civil engineering.‎

    Some courses are beginner-friendly and introduce key concepts without requiring prior experience. However, many civil engineering topics involve math, physics, and technical knowledge, so more advanced courses may assume a background in engineering or related fields.‎

    Yes. Coursera courses can help learners build foundational skills, support continuing education for professionals, or prepare learners for specialized roles in infrastructure, construction, or environmental design. Earning certificates can also strengthen your resume or academic profile.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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