Lesson Plan Generator for Teachers
Learn how to expand AI capabilities by integrating text, images, and audio in LlamaIndex-powered applications.
We'll cover the following...
In this lesson, we will build an AI-powered assistant that helps educators create structured lesson plans from a simple topic prompt. The assistant will guide the process step by step—starting with learning objectives, then developing an instructional outline, suggesting activities, and finally generating a complete, classroom-ready lesson plan.
This application uses LlamaIndex’s Workflow abstraction, which allows us to define a clear, linear sequence of reasoning steps. Each step transforms or builds on the output of the previous one, ensuring the final output is coherent, complete, and aligned with the teacher’s goals.
Such a system can support teachers, tutors, instructional designers, or anyone who needs to design learning content quickly and effectively.
Note: This application uses LlamaIndex workflows to structure multi-step generation, passes data between steps using typed events, and applies prompt chaining to build each part of the lesson plan.
To implement this application, we will use the following modules and libraries:
Modules and Libraries
Library/Module | Purpose |
LlamaIndex | This defines and manages the multi-step workflow using |
Groq | The LLM backend is used to generate content at each stage. |
Tracing (simple handler) | This monitors each step of the workflow for clarity and debugging. |
Streamlit (optional) | This is the front-end interface to accept input and display lesson plans. |
Designing the lesson plan workflow
Our workflow will consist of four sequential steps:
Generate learning objectives.
Create an instructional outline.
Suggest activities.
Generate a full lesson plan.
Each step builds upon the previous one, gradually transforming a high-level topic into a detailed, classroom-ready plan.