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Engineering Courses

Engineering courses can help you learn design principles, project management, systems analysis, and problem-solving techniques. You can build skills in technical drawing, materials selection, and prototyping, along with understanding regulatory standards and sustainability practices. Many courses introduce tools such as CAD software for design, simulation programs for testing, and project management platforms to streamline workflows.


Popular Engineering Courses and Certifications


  • C

    Coursera

    CFD Simulation Through a Centrifugal Pump

    Skills you'll gain: Simulation and Simulation Software, Simulations, Engineering Design Process, Finite Element Methods, Engineering Analysis, Hydraulics, Cloud-Based Integration, Verification And Validation, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    291 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    FEM - Linear, Nonlinear Analysis & Post-Processing

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Engineering Calculations, Mathematical Modeling, Structural Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    213 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Computational Fluid Mechanics - Airflow Around a Spoiler

    Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Engineering, Prototyping, Computer-Aided Design, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    386 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Finite Element Analysis Convergence and Mesh Independence

    Skills you'll gain: Finite Element Methods, Simulation and Simulation Software, Engineering Analysis, Simulations, Mechanical Design, Process Engineering, Engineering, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    251 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build a Full Website using WordPress

    Skills you'll gain: WordPress, Content Management Systems, Web Content, Web Design and Development, Web Design, Web Development, Blogs, Social Media, Content Management, Marketing, Design, Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.3K reviews

    Advanced · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    825 reviews

    Beginner · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera

    Increase SEO Traffic with WordPress

    Skills you'll gain: WordPress, Search Engine Optimization, Blogs, Web Analytics, Web Content, Keyword Research, Information Architecture, Content Management, Marketing, Analytics, Web Design, Web Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    799 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • The Google AI Certificate that powers your career

    Enroll now
  • C

    Coursera

    Build a mobile app with Google Sheets on Glide and no coding

    Skills you'll gain: No-Code Development, Mobile Development, Google Sheets, Application Development, Application Design, Application Deployment, Data Structures, User Accounts, Personalized Service, User Feedback, Web Development, Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    685 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    MySQL-for-Data-Engineering

    Skills you'll gain: MySQL, Bash (Scripting Language), Scripting, Database Management, Relational Databases, Command-Line Interface, SQL, Databases, Data Import/Export, Database Application, Data Pipelines, Data Manipulation, Python Programming, Linux

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Prompt Engineering with GPT: Programming for Custom Content

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Scripting, Python Programming, Test Case, Application Programming Interface (API), Application Development, Machine Learning, Software Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    74 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Crea tu artículo científico con latex

    Skills you'll gain: Research Reports, Technical Documentation, Technical Writing, Scientific Methods, Engineering Documentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    107 reviews

    Beginner · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

Searches related to engineering

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1234…18

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

  • CFD Simulation Through a Centrifugal Pump: Coursera
  • FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera
  • Computational Fluid Mechanics - Airflow Around a Spoiler: Coursera
  • Finite Element Analysis Convergence and Mesh Independence: Coursera
  • Build a Full Website using WordPress: Coursera
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Increase SEO Traffic with WordPress: Coursera
  • Build a mobile app with Google Sheets on Glide and no coding: Coursera
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • MySQL-for-Data-Engineering: Duke University

Frequently Asked Questions about Engineering

Engineering is a diverse field that applies scientific principles to design, build, and analyze structures, machines, and systems. It plays a crucial role in shaping our world, driving innovation, and solving complex problems. From civil engineering that constructs our infrastructure to software engineering that powers our digital experiences, engineering is essential for progress and development in society.‎

A career in engineering opens up a variety of job opportunities across multiple industries. You could work as a civil engineer, mechanical engineer, electrical engineer, software engineer, or data engineer, among others. Each role focuses on different aspects of engineering, allowing you to choose a path that aligns with your interests and skills.‎

To succeed in engineering, you need a blend of technical and soft skills. Key technical skills include proficiency in mathematics, physics, and computer programming. Additionally, problem-solving, critical thinking, and effective communication are vital soft skills that help you collaborate with teams and convey complex ideas clearly.‎

There are numerous online engineering courses available that cater to various interests and skill levels. Some notable options include the IBM AI Engineering Professional Certificate and the IBM Data Engineering Professional Certificate. These courses provide foundational knowledge and practical skills to help you advance in your engineering career.‎

Yes. You can start learning engineering on Coursera for free in two ways:

  1. Preview the first module of many engineering courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in engineering, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

Learning engineering involves a combination of theoretical knowledge and practical application. Start by exploring foundational courses in your area of interest, then gradually progress to more advanced topics. Engaging in hands-on projects, collaborating with peers, and seeking mentorship can enhance your learning experience.‎

Engineering courses typically cover a wide range of topics, including mathematics, physics, computer science, materials science, and specific engineering disciplines like civil, mechanical, and electrical engineering. Courses may also include project management, design principles, and ethics in engineering.‎

For training and upskilling employees, courses like the IBM DevOps and Software Engineering Professional Certificate and the Preparing for Google Cloud Certification: Cloud Engineer Professional Certificate are excellent choices. These programs focus on practical skills that are in high demand in the workforce.‎

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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