Building Useful AI Applications with Drupal and LLM Technology

Overview

Discover how to effectively integrate LLM-based AI with Drupal, from understanding core concepts to building practical applications with optimized costs and resources for real business value.

Syllabus

• Introduction to AI and LLMs
Overview of Artificial Intelligence and Machine Learning
Introduction to Large Language Models (LLMs) and their capabilities
Use cases for AI and LLMs in business applications
• Basics of Drupal CMS
Introduction to Drupal and its architecture
Core modules and functionalities
Setting up a basic Drupal site
• Integrating AI with Drupal
Overview of Drupal's API and extensibility
Introduction to Drupal modules for AI integration
Leveraging contributed modules to connect AI services
• Understanding APIs and Connecting LLMs
Introduction to RESTful APIs and their use in LLMs
Setting up API endpoints for LLM interactions
Overview of popular LLM APIs (e.g., OpenAI, Hugging Face)
• Practical Workshop: Building a Simple AI-Powered Drupal Application
Application idea brainstorming and concept development
Setting up the development environment
Creating a basic conversational AI using Drupal and an LLM
• Optimizing AI Application Costs and Resources
Strategies for efficient API usage to minimize costs
Performance optimization techniques in Drupal
Scaling considerations for AI-driven applications
• Ensuring Security and Privacy in AI Applications
Understanding data privacy regulations for AI
Best practices for securing AI applications
Implementing user consent in AI interactions
• Testing and Deployment
Testing AI applications within Drupal
Deployment strategies for AI-enhanced Drupal sites
Monitoring performance and iterating on feedback
• Case Studies and Real-world Applications
Analyzing successful AI applications built with Drupal
Discussion on innovation and future trends in AI and CMS integrations
• Final Project: Develop a Custom AI Feature with Drupal
Project guidelines and objectives
Presentation of project proposal
Implementation and demonstration of the final project
• Course Summary and Resources
Recap of key concepts covered
Additional resources for self-study and continued learning
Networking and community engagement opportunities in AI and Drupal development

Subjects

Programming