Software Development
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Frequently Asked Questions about Software Development
Explore the end-to-end software creation process, including Agile methodologies, software architecture, testing, and popular programming languages like Python, C, Java, and Scala. You can also dive into focused areas such as Java, C++, software engineering, Kubernetes, IoT, embedded systems, and object-oriented programming.
Learners often start with Programming for Everybody (Getting Started with Python) and the Python for Everybody Specialization to build core coding skills (Programming for Everybody, Python for Everybody). If you prefer a dual-language path, try the Introduction to Programming with Python and Java Specialization (Programming with Python and Java).
For advanced software development courses, the Software Development Lifecycle Specialization by Coursera provides an all-in-one solution. It includes courses such as Agile Software Development and Cortex-M Architecture and Software Development Specialization which delves deep into ARM cortex microcontrollers. As well as Cortex-M Software Development Fundamentals for building firmware for these chips. Also, R Capstone to go through all the fundamentals and utilize the power of R language, which is a key aspect of software development.
Yes—Coursera features job-aligned paths for front-end and native mobile development. Explore the Meta Front-End Developer, Meta iOS Developer, and Meta Android Developer Professional Certificates (Meta Front-End Developer, Meta iOS Developer, Meta Android Developer).
Start with foundational courses and progress to hands-on specializations. Options include Programming Fundamentals, C for Everyone, Part 1, C Programming with Linux, and Object-Oriented Data Structures in C++ (Programming Fundamentals, C for Everyone, Part 1, C Programming with Linux, Object-Oriented Data Structures in C++).
Deepen your expertise with rigorous sequences from leading universities. Consider the Algorithms Specialization, Data Structures and Algorithms Specialization, and Foundations of Data Structures and Algorithms (Algorithms, Data Structures and Algorithms, Foundations of Data Structures and Algorithms).
Yes—many offerings feature real-world assignments, capstones, and labs, and you can also learn by doing with Guided Projects. Recent examples include Serverless Apps in C#: Azure Function Apps, Automation with Ansible: Web Server Deployment, and High-Availability Scaling with Kubernetes: Web Services (Serverless Apps in C#, Automation with Ansible, Kubernetes: Web Services).
Build end-to-end skills with the Microsoft Python Development Professional Certificate or start fast with AI Python for Beginners. For a comprehensive path, try the University of Michigan’s Python for Everybody Specialization. If you want automation skills, explore the Google IT Automation with Python Professional Certificate.
Yes—Professional Certificates help you build job-ready skills, such as IBM DevOps and Software Engineering, Microsoft Python Development, and AWS Generative AI and AI Agents with Amazon Bedrock (IBM DevOps and Software Engineering, Microsoft Python Development, AWS Generative AI and AI Agents). You can also pursue related online degrees like the Master of Science in Computer Science from the University of Colorado Boulder (MS in Computer Science (Boulder)).
