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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


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    SkillUp

    SEO, Generative AI, and GEO Capstone Project

    Skills you'll gain: Search Engine Optimization, Generative AI, Content Strategy, AI Enablement, Semantic Web, Workforce Development, Content Performance Analysis, Digital Marketing, Content Creation, Digital Content, Social Media, JSON

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Real-World Angular Projects, Testing, and Interview Prep

    Skills you'll gain: Responsive Web Design, Bootstrap (Front-End Framework), Node.JS, Back-End Web Development, Unit Testing, Full-Stack Web Development, Web Components, Front-End Web Development, Authentications, User Accounts, TypeScript, MySQL

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Generate Visuals for A/B Testing Success

    Skills you'll gain: Prompt Engineering, Generative AI, A/B Testing, Generative AI Agents, Content Creation, Text Mining

    Beginner · Course · 1 - 4 Weeks

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    CertNexus

    Internet of Things (IoT) Security (Exam ITS-110)

    Skills you'll gain: Application Security, Network Security, Information Systems Security, Cloud Security, Cybersecurity, System Monitoring, Internet Of Things, Network Monitoring, Cyber Attacks, Mobile Security, Cryptography, Information Privacy, Authorization (Computing), Wireless Networks, Authentications, Data Storage, Patch Management, Operating Systems, Cloud Services, Cloud Platforms

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Collaborate and Version Control Your AI Apps

    Skills you'll gain: User Story, Agile Methodology, Version Control, Persona (User Experience), Kanban Principles

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    Microsoft Fabric: Implement and Manage Analytics Solutions

    Skills you'll gain: CI/CD, Microsoft Azure, Data Lakes, Microsoft Power Platform, Azure Synapse Analytics, Data Pipelines, Analytics, Data Governance, Advanced Analytics, Data Security, Data Management, Data Analysis Expressions (DAX), Power BI, Microsoft Excel, Exploratory Data Analysis, Apache Spark, Application Deployment, SQL, Governance, Version Control

    Intermediate · Course · 1 - 4 Weeks

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    Board Infinity

    The Future of Work – Managing Hybrid & AI-Augmented Teams

    Skills you'll gain: Leadership and Management, AI Enablement, Business Leadership, Automation, AI Workflows, Digital Communications, Communication

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Analyze Marketing Data: Drive Campaign Success

    Skills you'll gain: Spreadsheet Software, Marketing Analytics, Pivot Tables And Charts, Trend Analysis, Marketing Budgets, Marketing Strategies, Microsoft Excel, Google Sheets, Business Reporting, Data-Driven Decision-Making, Performance Reporting, Time Series Analysis and Forecasting, Marketing, Descriptive Analytics, Performance marketing, Performance Metric, Business Metrics, Performance Measurement

    Beginner · Course · 1 - 4 Weeks

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    Google

    Foundations of Business Intelligence

    Skills you'll gain: Stakeholder Engagement, Business Intelligence, Data-Driven Decision-Making, Dashboard, Business Analytics, Real Time Data, Data Integration, Data Modeling, Data Storytelling, Data Analysis, Key Performance Indicators (KPIs), Data Presentation, Business Process, Project Implementation, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
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    2.1K reviews

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

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    Coursera

    Bookkeeping Foundations and General Ledger Management

    Skills you'll gain: Month End Closing, Balancing (Ledger/Billing), Variance Analysis, Fraud detection, Expense Management, Bookkeeping, Generally Accepted Accounting Principles (GAAP), Record Keeping, Reconciliation, Income Statement, Data Validation, Payroll Systems, Expense Reports, Financial Statements, Payroll Processing, Business Metrics, Financial Analysis, General Ledger, Financial Reporting, Accounts Payable

    Beginner · Specialization · 3 - 6 Months

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    CertNexus

    CFR: Reconnaissance, Attack, and Post-Attack Analysis

    Skills you'll gain: Threat Modeling, Cyber Threat Intelligence, Cybersecurity, Malware Protection, Penetration Testing, Cyber Security Assessment, Threat Detection, Threat Management, Distributed Denial-Of-Service (DDoS) Attacks, Security Engineering, Cyber Attacks, Exploitation techniques, Mobile Security, Information Systems Security, Computer Security, Network Security, Vulnerability Assessments, Cloud Security, Persistence

    Mixed · Course · 1 - 4 Weeks

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

  • SEO, Generative AI, and GEO Capstone Project: SkillUp
  • Real-World Angular Projects, Testing, and Interview Prep: Packt
  • Generate Visuals for A/B Testing Success: Coursera
  • Internet of Things (IoT) Security (Exam ITS-110): CertNexus
  • Collaborate and Version Control Your AI Apps: Coursera
  • Microsoft Fabric: Implement and Manage Analytics Solutions: Whizlabs
  • The Future of Work – Managing Hybrid & AI-Augmented Teams: Board Infinity
  • Analyze Marketing Data: Drive Campaign Success: Coursera
  • Foundations of Business Intelligence: Google
  • Choose Optimal Data Structures for ML: Coursera

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