Agile Project Management and Software Engineering with AI

Traditional Agile workflows are powerful, but incorporating artificial intelligence can dramatically speed up planning, documentation, and development cycles. This course shows you how to integrate AI tools into your daily agile practices to work smarter and deliver value faster. By the end of this course, you will transition from manual planning and execution to an AI-assisted workflow, understanding how to write better user stories, generate code prototypes, and automate repetitive project management tasks. What you'll learn: - Learn the foundational principles of Agile methodologies and how AI tools fit into modern workflows - Write effective prompts to generate clear, actionable user stories and acceptance criteria - Use AI assistants to streamline sprint planning, backlog grooming, and task estimation - Apply AI-assisted engineering practices to draft initial code structures, write unit tests, and debug errors - Understand the ethical considerations, security basics, and limitations of using AI in software development - Practice simulating sprint retrospectives and generating action items using AI-driven analysis You will start with the core concepts of Agile and AI-assisted engineering before moving into hands-on written exercises that simulate real-world project scenarios. The text-based format allows you to study at your own pace, analyzing prompt structures and code examples in detail. This course is designed for beginner project managers, product owners, Scrum masters, and software developers who want to integrate AI into their Agile processes. No prior experience with AI tools or advanced programming is required. Start reading today to modernize your Agile workflow with the power of artificial intelligence.