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Keep shoppingMaster in Software Development & Software Engineering
38,294 students
Master in Software Development & Software Engineering
Build world-class software engineering teams using practices from GitHub, Google, Netflix, AWS, Spotify and Microsoft
Last updated 8/2026
English
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What you'll learn
- Build high-performing software engineering teams using the best practices adopted by GitHub, Google, Netflix, AWS, Spotify and Microsoft.
- Lead engineering excellence with Agile, AI, CI/CD, automation, security and user-centric design across the software development lifecycle.
- Improve software quality, delivery speed, innovation and customer satisfaction by implementing proven engineering frameworks and modern development practices
- Create a culture of continuous improvement through engineering leadership, cross-functional collaboration, innovation and community engagement
- Apply practical lessons from real-world case studies of leading technology companies to improve your own engineering organization and projects.
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Course content
11 sections • 51 lectures • 6h 42m total length
Requirements
- Spending 6.5 hours learning about excellence in software development
Description
Can your software engineering team consistently deliver software with the speed, quality and innovation of GitHub, Google, Netflix, AWS, Spotify or Microsoft?
Every software leader wants to build a high-performing engineering team, but only a few organizations consistently deliver exceptional software while accelerating innovation, maintaining quality, delighting customers and strengthening security. The difference is rarely better programmers alone. It lies in adopting the proven engineering practices, leadership principles and organizational culture that enable world-class software engineering teams to excel.
This course is designed to help you build exactly those capabilities.
Rather than teaching another programming language or software framework, this course takes a broader and more strategic approach. You will discover how some of the world's most respected technology organizations—including GitHub, Google, Netflix, Amazon Web Services (AWS), Spotify and Microsoft—build and sustain world-class software engineering teams. More importantly, you will learn the common practices they share and how to apply them within your own projects, teams and organization.
Through detailed case studies, practical frameworks and proven industry practices, you will learn how to create engineering teams that consistently deliver high-quality software while improving productivity, collaboration and customer satisfaction.
You will master modern Agile methodologies including Scrum, Kanban, Lean Software Development, Extreme Programming (XP), Crystal, Feature Driven Development (FDD), Adaptive Software Development (ASD) and Dynamic Systems Development Method (DSDM), enabling you to select the right framework for different business situations.
You will learn how leading software organizations accelerate delivery through Continuous Integration and Continuous Deployment (CI/CD), automated testing, static code analysis, Infrastructure as Code (IaC), release management, version control, security scanning and automated performance monitoring. These practices help engineering teams improve software quality while reducing delivery time and operational risk.
Building world-class engineering teams requires more than efficient development processes. This course therefore places significant emphasis on creating exceptional user experiences through user research, personas, usability testing, journey mapping, responsive design, continuous feedback and user-centric culture.
You will also explore how high-performing engineering organizations build a culture of innovation through empowered teams, cross-functional collaboration, hackathons, emerging technologies, innovation metrics, open-source participation, customer-centric thinking and continuous learning. In today's rapidly evolving technology landscape, these capabilities often determine whether organizations become market leaders or followers.
Security is integrated throughout the engineering lifecycle. You will learn how successful organizations embed secure development practices through authentication, security assessments, incident response planning, vulnerability management, secure cloud practices, governance and continuous security improvement.
Recognizing the growing impact of Artificial Intelligence, the course also introduces how AI is transforming modern software engineering by enhancing developer productivity, improving software quality, supporting intelligent automation and enabling engineering teams to achieve even higher levels of excellence while maintaining responsible AI practices.
Throughout the course, every concept is reinforced through practical insights and real-world examples from leading technology organizations so that you can confidently apply these proven practices within your own engineering environment.
Whether you are a Software Developer preparing for a leadership role, a Software Engineer, Technical Lead, Engineering Manager, Software Architect, Project Manager or an aspiring technology leader, this course provides a comprehensive roadmap for building world-class software engineering teams capable of delivering outstanding business results.
If your goal is not simply to develop software, but to build engineering teams that consistently deliver innovative, secure, customer-focused and high-quality software using the same principles followed by the world's leading technology organizations, then I look forward to welcoming you into this course. Together, we will build the foundation for software engineering excellence that creates lasting competitive advantage.
This Course is Part of a Structured Learning Path
Learning Path: TECHNOLOGY PATH (Starter → Builder → Advanced)
This course is your BUILDER step.
Next Recommended Courses
After completing this course, continue your growth with:
How to become Software Developer (Starter)
End to end Solution Design (Builder)
Solution Architecture (Builder)
IT Product Management (Advanced)
Master in AI (Advanced)
Generative AI (Advanced)
Who this course is for:
- Software Engineers
- Software Developers
- Technical Leads
- Engineering Managers
- Software Architects
- Product Development Professionals
- Technology Consultants
- Computer Science Students
- Professionals transitioning into software engineering roles