This module provides a comprehensive overview of software development, including essential methodologies and practices. Students will explore the Software Development Life Cycle (SDLC) and compare key methodologies such as Waterfall, Agile, and DevOps. The importance of iteration and feedback in the development process will be emphasized to highlight continuous improvement and adaptation. This module introduces students to practical applications of software development concepts through case studies. By examining web applications developed in Java and Python, students will gain insights into real-world scenarios. Additionally, an overview of the course structure will show how each module is interconnected and relates to the case studies, providing a roadmap for the learning journey.

The "Software Requirements" module provides a comprehensive introduction to the techniques and practices essential for gathering, documenting, and managing software requirements. Learners will explore best practices for requirements gathering, and the creation of effective use cases and user stories. Additionally, the module offers an overview of the Scrum framework, covering roles, artifacts, and events to enhance agile project management skills. Through a practical case study on a Bank ATM system, participants will apply their knowledge to develop real-world requirements and organize them into sprints, ensuring they can effectively manage software projects from inception to completion.

The "Software Design" module equips learners with the skills to effectively design software systems through practical project management and the use of visual modeling techniques. This module covers the creation of use cases, user stories, and sprint plans to kickstart a project. It also delves into Unified Modeling Language (UML) diagrams, teaching learners how to construct and interpret use case, class, component, sequence, and activity diagrams. Additionally, the module focuses on designing data flow with context diagrams and Data Flow Diagrams (DFDs). By the end of this module, learners will be able to design robust software systems and visually represent their architecture and data processes accurately.

This module focuses on the essential aspects of writing high-quality code, effectively utilizing libraries and APIs, and conducting thorough code reviews. Learners will explore the importance of clean code, understand coding standards and best practices, and learn how to apply these principles in their work. Additionally, the module covers the integration and advanced use of libraries and APIs, along with tools for generating documentation. Finally, learners will gain insights into conducting productive code walkthroughs and reviews, using common tools to provide constructive feedback.

This module provides a comprehensive introduction to Integrated Development Environments (IDEs) and demonstrates their application in a practical project. Learners will explore the fundamental features of popular IDEs, understand how to set up and configure an IDE for their projects, and discover productivity-enhancing plugins. The module also includes a hands-on project demonstration, guiding learners through the process of understanding project requirements, implementation, and execution on a local machine.

This module provides a thorough understanding of the essential processes and tools for building, managing, and controlling source code in software development. It covers the entire lifecycle of code from compilation to version control and practical application of Git and GitHub. Through a series of lessons and practical demonstrations, learners will develop the skills needed to efficiently manage code and collaborate on software projects.

The "Debugging and Testing" module provides learners with a comprehensive understanding of essential concepts and practices in software quality assurance. Through three focused lessons, participants will explore introductory testing concepts, practical debugging techniques, and industry-standard testing approaches. By combining theoretical knowledge with hands-on exercises, this module equips learners with the skills needed to ensure the quality and reliability of software products in real-world development environments.

This module provides a comprehensive overview of modern software deployment practices, focusing on the evolution from physical servers to virtual machines and containers, with an emphasis on Docker technology. Through a series of lessons, learners will gain foundational knowledge of Docker, learn how to create and use Dockerfiles, and acquire practical skills in deploying Docker images and utilizing DockerHub.

This module provides a comprehensive introduction to DevOps, covering its need, definition, and core dimensions. It delves into essential DevOps practices like Continuous Integration and Continuous Delivery/Deployment, detailing their implementation within CI/CD pipelines. Additionally, it offers practical demonstrations to solidify theoretical concepts through hands-on application. By the end, learners will be equipped to understand, explain, and implement DevOps practices effectively.

The module introduces learners to the transformative role of artificial intelligence in modern software development. This module first covers the implementation of the case study discussed throughout the course; and then covers the integration of AI in various stages of the software development lifecycle, including development, testing, and deployment. Participants will explore current trends, tools, and techniques that leverage AI to enhance productivity, accuracy, and efficiency. Through the lessons on AI-driven practices, real-world use cases, and future trends, learners will gain the knowledge and skills necessary to effectively incorporate AI technologies into their software development processes.