Duration of the online course: 1 hours and 7 minutes
New
Speed and reliability are everything in modern delivery pipelines, and DevOps teams are expected to ship fast without compromising stability or security. This course shows you how to use ChatGPT as a practical assistant for everyday DevOps tasks, helping you move from idea to working solution with fewer interruptions, clearer decisions, and less time spent searching through scattered documentation.
You will learn how to turn vague operational goals into concrete commands, configurations, and next steps. Rather than treating AI like a novelty, the lessons focus on repeatable workflows: asking better questions, iterating safely, and validating outputs so you stay in control. You will see how ChatGPT can support common platform and deployment scenarios, from containerizing Node.js applications to understanding what happens in a multi-stage Docker build when the final stage is prepared for production delivery.
The course also tackles the kinds of decisions that often slow teams down: keeping Docker images lean by avoiding unnecessary file copies, setting Kubernetes Deployments with production-minded and security-conscious defaults, and pushing images through CI/CD without exposing secrets or creating fragile pipelines. Along the way, you will develop a feel for how to refine prompts, compare alternatives, and quickly converge on configurations that match your environment and constraints.
Beyond troubleshooting and template generation, you will explore why ChatGPT is especially effective for iterative DevOps work: it can help you progressively improve solutions, adapt to feedback, and document your reasoning as you go. You will also get introduced to the role of the aiac CLI in DevOps workflows, connecting AI-assisted generation to infrastructure and automation tasks in a way that fits real engineering teams.
By the end, you will be able to use ChatGPT to accelerate routine work while preserving best practices, reducing mistakes, and improving the clarity of your automation. Whether you are sharpening your DevOps toolkit for your current role or building job-ready skills for the next opportunity, this course helps you work smarter with the tools you already use.
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1 hours and 7 minutes of online video course
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