Available courses

A beginner-friendly session introducing AI concepts, practical tools, responsible use, and real-world applications across personal, organizational, and sectoral contexts.

Learning Goals:

  • Introduce AI and its benefits to persons and organizations 
  • For MSMEs: Set the mindset for AI project development for participating MSMEs and student teams
A guided session on identifying AI opportunities, applying design thinking, and framing potential AI projects within an organization or community.

Learning Goals:
  • Identify AI project opportunity within one's organization
  • Apply Design Thinking framework for AI Project ideation and execution
  • Formulate an AI Project Statement

A practical walkthrough of rapid prototyping tools and AI-enabled application development approaches using LLM and agentic AI use cases.

Learning Goals:

  • Introduce rapid prototyping tools
  • Provide walkthrough illustrations of LLM/Agentic use cases for AI application development

Learn how to move beyond basic AI use in the classroom. This 1-hour self-paced course covers the 3-Rung Ladder of AI competency for educators, the 5-part prompt anatomy, data privacy essentials, and hands-on classroom-builder tools like Teachable Machine and Machine Learning for Kids. Based on a workshop originally presented in an Educator's Workshop with the UP Diliman Technology Management Center.

A prototype learning resource aimed at instructing users on setting up their own personal "AIRAs" by installing Ollama and Open Web UI, based on the "Setting Up a Local RAG-Enabled LLM" manual that was presented in an IEEE conference in 2026.

AIRA conducting some research

Photo courtesy of CLIEERDEC and NEUST

This page serves as an archive of presentations used by the DOST-NAIRA team for lectures presented at the Central Luzon Industry, Energy and Emerging Technology Research and Development Consortium (CLIEERDEC) in June 2026 at Angeles City, Pampanga.

Topic: [K-Sharing] Application Development for AI: Tools and Workflows (for DOST-ASTI)

Learning Goals:

  • Introduce rapid prototyping tools
  • Provide walkthrough illustrations of LLM/Agentic use cases for AI application development