Build AI Agents for Project Management: Jira and Linear

Managing complex projects often involves repetitive tasks that drain your time and energy. As artificial intelligence advances, the ability to build custom tools that interact with your project management software is becoming an essential skill. This course teaches you how to design and build foundational AI agents capable of understanding user requests, planning actions, and executing tasks directly within Jira and Linear. You will explore modern agentic workflows, learning how to bridge the gap between large language models and real-world project data through API integrations and function calling. What you will learn: Understand the foundational concepts of agentic AI and how language models process tasks; Learn basic prompt engineering techniques to guide your AI assistant's behavior and decision-making; Configure secure API connections to popular project management tools like Jira and Linear; Implement function calling to allow your AI to read tickets, update statuses, and create new tasks; Design simple retrieval-augmented generation (RAG) patterns to help your agent answer questions based on project history; Build and test automated workflows entirely through hands-on written exercises and code snippets. The program begins with a clear breakdown of key AI terminology and the basics of how agents operate. From there, you will move into step-by-step written tutorials that guide you through connecting APIs and writing the logic for your own project management assistant. Designed for beginners with a basic understanding of programming concepts, this course requires no prior experience with artificial intelligence or complex system architecture. Start reading today to transform how you automate and manage your daily project workflows.