PIL Intelligence Engine: Building Smart, Modular Knowledge Systems

Learn how to architect and deploy AI-enhanced knowledge engines using modular design, Django, OpenAI APIs, and AsciiDoc-powered workflows.

Course Objectives

• Design modular, reusable content systems using Python and Django.
• Integrate OpenAI APIs to power dynamic content generation.
• Build and export structured content in multiple formats, including PDF and HTML.
• Use AsciiDoc as a semantic backbone for training and publishing materials.
• Deploy scalable, API-driven content workflows for internal or client use.

Course Overview

The PIL Intelligence Engine course teaches you how to create flexible, AI-assisted content systems that blend manual authoring with LLM-generated support. Whether you’re building technical training, documentation suites, or internal knowledge bases, this course shows how to structure content for adaptability, automate creation with GPT, and deliver in consistent multi-format outputs. Ideal for instructional designers, developers, and content strategists.

Sample Module: Integrating OpenAI with Django

This module walks learners through setting up a Django project that takes form input, sends it to the OpenAI API, and returns generated content for use in structured documents or course components.

Lesson: Generating Modular AsciiDoc with AI

In this lesson, participants will generate course content from structured prompts and convert it to AsciiDoc with export-ready formatting. Output will support Instructor Guide, Slide Deck, and Participant Handbook styles.