AI-Powered Software Engineering

About Course

This 3-day AI-Powered Software Engineering course offers comprehensive insights into advanced AI-based software engineering practices that elevate product quality, delivery efficiency, team productivity, and customer satisfaction through measurable insights and actionable feedback.

The curriculum begins with an introduction to Agile principles and moves through various stages of AI-driven software development, including Requirements Engineering, Design & Architecture principles, Programming Practices, and Code Quality.

This course is designed to equip software development professionals with advanced practices using modern AI tools to engineer top-tier technology solutions. Emphasis is placed on achieving high product quality and rapid delivery, ultimately leading to increased customer satisfaction. Participants will gain hands-on, practical skills across the entire software development life cycle.

What Will You Learn?

To provide software programmers with a foundational understanding of Agile methodologies and principles.
To equip participants with the knowledge and skills to effectively participate in Agile development teams.
To provide software developers with an understanding of Agile approaches to requirements engineering.
To equip participants with the skills to effectively gather, define, and manage requirements in Agile projects.
To provide software developers with a foundational understanding of Agile coding practices.
To equip participants with the knowledge and skills to implement Agile coding practices in development projects.
To provide software developers with an understanding of Agile approaches to software design and architecture.
To equip participants with the skills to effectively design and architect software in Agile projects.

Course Curriculum

Introduction to Agile Principles for Software Programmers
This session covers Agile fundamentals, key values, and principles. It explores frameworks like Scrum and XP, along with essential practices such as stand-ups, sprint planning, and continuous integration. Participants will also learn Agile roles (Product Owner, Scrum Master, Development Team) and their responsibilities

Agile Software Coding Practices for Developers
This session covers Agile AI coding practices, emphasizing test-driven development (TDD), pair programming, code reviews, and code quality. Participants will learn to write effective unit tests, conduct code reviews using AI tools, and apply clean coding principles. Hands-on lab sessions will reinforce TDD, refactoring, and AI-driven coding techniques.

Agile Software Requirements Engineering for Developers
This module covers Agile requirements, from Epics to User Stories and backlog management. Learn to prioritize PBIs, write effective user stories, and apply BDD using Gherkin syntax with tools like Cucumber. A hands-on lab includes backlog development and AI-powered BDD test case writing in Jira and Azure DevOps.

Agile Software Design and Architecture Practices for Developers
This course covers Agile software design and architecture, focusing on key principles (SOLID, YAGNI, DRY), design patterns, and microservices. It emphasizes lightweight modeling, iterative development, and balancing documentation. Participants will gain hands-on experience with tools like UML and architecture modeling software.