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Software Engineering Courses

Software engineering courses can help you learn programming languages like Python and Java, software development methodologies, version control systems, and testing practices. You can build skills in code optimization, debugging, and collaborative project management. Many courses introduce tools such as Git for version control, Docker for containerization, and integrated development environments (IDEs) like Visual Studio Code, which enhance your ability to develop, test, and deploy software efficiently.


Popular Software Engineering Courses and Certifications


  • É

    École Polytechnique Fédérale de Lausanne

    Municipal Solid Waste Management in Developing Countries

    Skills you'll gain: Environmental Engineering, Environmental Management Systems, Pollution Prevention, Sustainable Development, Sustainable Systems, Sustainable Technologies, Environment and Resource Management, Environmental Issue, Governance, Environmental Policy, Community Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Feature Engineering, Continuous Integration, Kubernetes, Scikit Learn (Machine Learning Library), CI/CD, Performance Tuning, Tensorflow, Python Programming, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Containerization, Git (Version Control System)

    Intermediate · Specialization · 1 - 3 Months

  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    Duke University

    Nanotechnology: A Maker’s Course

    Skills you'll gain: Materials science, Prototyping, Engineering, Scientific, and Technical Instruments, Laboratory Techniques, Chemistry, Manufacturing Processes, Micrometer, Image Analysis, Chemical Engineering

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.1K reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Minimal CMake

    Skills you'll gain: Build Tools, Continuous Integration, CI/CD, Software Configuration Management, Unit Testing, Configuration Management, Software Development Tools, Test Tools, Maintainability, Development Environment, Cross Platform Development, Package and Software Management, Command-Line Interface, Software Engineering, Software Installation, Dependency Analysis

    Beginner · Course · 1 - 3 Months

  • 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, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Princeton University

    Algorithms, Part II

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Operations Research, Computational Thinking, Computer Programming, Network Routing, Java Programming, Linear Algebra

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 3 - 6 Months

  • S

    Stanford University

    Understanding Einstein: The Special Theory of Relativity

    Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Experimentation, Mathematical Modeling, Systems Of Measurement

    4.9
    Rating, 4.9 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google

    Assess for Success: Marketing Analytics and Measurement

    Skills you'll gain: Media Planning, Spreadsheet Software, A/B Testing, Return On Investment, Marketing Analytics, Key Performance Indicators (KPIs), Google Analytics, Pivot Tables And Charts, Performance Measurement, Performance marketing, Digital Marketing, Data Presentation, Google Ads, Marketing Budgets, Marketing, Web Analytics and SEO, Data Analysis, Stakeholder Communications

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Large Multimodal Model Prompting with Gemini

    Skills you'll gain: Multimodal Prompts, Gemini, Prompt Engineering, Google Gemini, Prompt Patterns, LLM Application, Generative AI, Application Programming Interface (API), Image Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    27 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    STAR-CCM+: Fluid Flow & Thermal Simulation

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Simulation and Simulation Software, Engineering, 3D Modeling, Thermal Management, Process Analysis, Scientific Visualization, Geometry, Star Schema, Environment

    Intermediate · Course · 1 - 4 Weeks

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

  • Municipal Solid Waste Management in Developing Countries: École Polytechnique Fédérale de Lausanne
  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • ML Production Systems: Coursera
  • Practical Machine Learning: Johns Hopkins University
  • Nanotechnology: A Maker’s Course: Duke University
  • Minimal CMake: Packt
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Algorithms, Part II: Princeton University
  • Understanding Einstein: The Special Theory of Relativity: Stanford University
  • Assess for Success: Marketing Analytics and Measurement: Google

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