data collection and annotation (data science/artificial intelligence) level ii
data collection and annotation (data science/artificial intelligence) level ii
This course teaches the competencies that a person must achieve to effectively collect, organize, annotate, and ensure the quality of data for machine learning operations, ensuring reliable and accurate Data Science (DS) and AI model training and development.
Duration: 224 hours total
- 52 hours — Basic Competencies
- 49 hours — Common Competencies
- 123 hours — Core Competencies
Room Type: Computer Laboratory / Green Room
Class Schedule:
- Friday (4:00pm-8:00pm)
- Saturday (9:00am-4:00pm)
Class Type:
- Lecture
- Creation of Outputs and Mentoring
Objective:
By the end of this course, participants will:
- Understand AI applications in education and school operations.
- Enhance communication and documentation through AI tools.
- Create instructional materials using AI.
- Automate administrative tasks and school workflows
- Analyze and report school data using AI.
- Develop a functional AI-enabled workflow project.
- Practice ethical and responsible AI use in education.
Learning Outcomes:
- Explain AI functions, limitations, and ethical considerations in schools.
- Use AI to enhance communication and coordination.
- Create AI-assisted instructional and assessment materials.
- Automate administrative and documentation tasks using AI.
- Use AI for school data interpretation and reporting.
- Develop and present an AI-enhanced school workflow automation project.
Learning Activities:
- Lectures & discussions
- Demonstrations of AI tools
- Hands-on laboratory tasks
- Prompt engineering activities
- Case studies and scenario simulations
- Collaborative group work
- Workflow automation labs
- AI-assisted material creation
- Data analysis exercises
- Capstone project design and defense
Minimum and Initial Requirements
- Applicants must be at least 17 yo
- Must hold Filipino Citizenship
Application deadline Ongoing
Next Cohort starts in 2026
