Loop Engineering 101
By Ranbeer Makin
About this Course
Learn how to design AI-powered loops that continuously execute, evaluate, and improve work—moving beyond one-off prompts toward systems that can operate with increasing autonomy.
This course introduces the fundamentals of loop engineering, from simple turn-based and goal-based loops to time-based and proactive loops. You'll see how these patterns can be applied to automate recurring work, respond to changing conditions, and build AI systems that take action with minimal intervention.
I use Claude Code for demos.
About the Instructor
Ranbeer Makin is passionate about helping working professionals confidently adopt AI. He has already trained 250+ learners through hands-on workshops and practical courses. As a software entrepreneur with 18+ years of experience, he now focuses on helping professionals move from AI Curious to AI Capable by teaching practical workflows, automation, and real-world AI applications.
What You'll Learn
- Understand the fundamentals of AI loops and how they differ from one-off AI interactions
- Design turn-based and goal-based loops for structured AI workflows
- Build time-based loops that execute work on a recurring schedule
- Design issue-fixing loops that detect and resolve problems iteratively
- Use routines to automate recurring professional workflows
Sessions
Learn what AI loops are and how turn-based and goal-based loops work.
Explore time-based automation and see how recurring AI workflows can be designed and implemented through a live demo.
Go beyond scheduled automation with issue-fixing loops, routines, and proactive loops that can detect conditions and initiate action.
Who Is This Course For?
This course is for professionals, developers, and AI practitioners who want to move from prompting to loop engineering.
Course Content
- 1What loops are, and turn-based and goal-based loops
- 2Time-based loops with a live demo
- 3The issue-fixing loop, routines and proactive loops
- Loop Engineering 101