Agentic AI for Software Engineering and DevOps

As software development moves faster than ever, standard automation is no longer enough to keep up. Developing a foundational understanding of agentic AI allows you to leverage autonomous agents that can plan, write code, debug, and optimize software workflows. This text-only course guides you from the absolute basics of AI agents to implementing them in real-world software engineering and DevOps environments. You will learn how to design agentic workflows that collaborate with human developers to increase productivity, improve code quality, and streamline deployment. What you'll learn: Understand the fundamental concepts of agentic AI, including planning, memory, and tool usage; Design autonomous agents capable of generating, refactoring, and debugging code; Integrate AI agents into modern CI/CD pipelines to automate testing and deployment checks; Apply basic prompt engineering and retrieval-augmented generation patterns to ground your agents in your codebase; Evaluate agent performance, safety, and reliability using modern testing practices; Collaborate effectively with multi-agent systems to solve complex development tasks. You will start with essential terminology and the core architecture of AI agents before exploring practical text-based walkthroughs on integrating these agents into your development lifecycle. The course concludes with best practices for monitoring, safety, and maintaining agentic systems. This course is designed for software developers, DevOps practitioners, and technology teams who are new to agentic AI and want to modernize their workflows. No prior AI or machine learning experience is required. Start reading today to transform your software development process with autonomous AI agents.