Course Outline
Build Smarter Agents using Lindy AI is an intermediate-level course designed to help you move beyond the basics and start building powerful, scalable, and optimized AI agents with Lindy. You'll dive deep into prompt engineering, memory and context management, testing workflows, voice automation, credit optimization, and advanced agent design patterns like looping and multi-step builds. This course also includes real-world industry playbooks and hands-on projects like a LinkedIn Ghostwriting Agent and Calendar Prep Assistant to solidify your learning.
Learning Outcomes
- Learn how to design and test advanced Lindy agents with efficient prompts and credit usage
- Build voice-enabled and data-rich agents for various industry use cases
- Gain the skills to scale agents using loops, memory management, and automation patterns
Who Is This Course For?
This course is ideal for developers, technical product managers, AI enthusiasts, and builders who are already familiar with Lindy’s interface and want to start building more advanced, efficient, and impactful agents. If you've completed Lindy's beginner course or built a few simple workflows, this course will help you level up.
Why Enroll?
Enroll in this course to gain practical skills that translate directly into higher-impact agent design. You’ll learn how to reduce agent cost, increase reliability, and unlock new agent capabilities like voice interaction and large-scale automation. By the end, you’ll not only understand how to build smarter agents—you’ll have the experience of deploying them across real-world use cases.
Pre-requisites
- Basic understanding of how Lindy workflows and agent steps work
- Familiarity with prompt structure and AI model interaction
- Completion of the Intro to Lindy AI (Beginner) course or equivalent experience
Let’s Get Started!
Don’t just chat—build.
Learn how to build voice-enabled and data-rich agents for various industry use cases using Lindy AI