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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


  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Agile Software Development, Scrum (Software Development), Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    64K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Engineering

    Skills you'll gain: NoSQL, Apache Spark, Data Warehousing, Database Design, Database Administration, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Relational Databases, Linux Commands, SQL, IBM Cognos Analytics, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    321 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    98K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Transfer Learning, Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Snowflake Data Engineering

    Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Warehousing, Change Control, DevOps, Cloud Development, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    316 reviews

    Beginner · Professional Certificate · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Full Stack Software Developer

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Cloud Deployment, Software Development Life Cycle, Cloud-Native Computing, Istio, Software Architecture, Kubernetes, Cloud Computing Architecture, React Redux, Node.JS, Responsive Web Design, Restful API, Django (Web Framework), Git (Version Control System), HTML and CSS, Server Side, Cloud Computing, Data Import/Export, Engineering Software

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Responsive Web Design, Restful API, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    80K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Full-Stack Developer

    Skills you'll gain: CI/CD, Cascading Style Sheets (CSS), GitHub, C# (Programming Language), HTML and CSS, Azure DevOps, Load Balancing, Continuous Integration, Git (Version Control System), Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Full-Stack Web Development, Web Development, SQL, Microsoft Copilot, .NET Framework, Graph Theory

    4.6
    Rating, 4.6 out of 5 stars
    ·
    366 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D
    A

    Multiple educators

    DeepLearning.AI Data Engineering

    Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Vector Databases, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Dataflow, Data Integration, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    579 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Data Analysis, Statistical Methods, Data Preprocessing, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

Searches related to engineering

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1234…8

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

  • IBM DevOps and Software Engineering: IBM
  • IBM Data Engineering: IBM
  • Microsoft AI & ML Engineering: Microsoft
  • IBM Generative AI Engineering: IBM
  • IBM AI Engineering: IBM
  • Snowflake Data Engineering: Snowflake
  • IBM Full Stack Software Developer: IBM
  • IBM AI Developer: IBM
  • Meta Database Engineer: Meta
  • Microsoft Full-Stack Developer: Microsoft

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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