Instructor | AI for Future Software Engineers — Pamulang University
Served as the lead instructor for the “AI for Future Software Engineers” Short Course organized by Pamulang University, delivered online via Zoom. The program ran for 4 consecutive days (July 6–9, 2026) and was attended by 1,200 students ranging from semester 1 to semester 8.
This short course was designed to equip students with practical understanding of how AI can be effectively used in learning, coding, project planning, and career development as a Software Engineer.
Event Details
| Item | Detail |
|---|---|
| Organizer | Pamulang University |
| Format | Online via Zoom |
| Duration | 4 days (July 6–9, 2026), 3 hours each |
| Participants | 1,200 students (semester 1–8) |
| Role | Lead Instructor |
Curriculum
Day 1 — AI as a Learning Assistant
Introduction to AI, Generative AI, and LLMs. Students learned Prompt Engineering for academic needs and built their personal Prompt Library.
Day 2 — AI as a Pair Programmer
Using AI for code generation, debugging, code review, and documentation. Students practiced AI-assisted coding workflows with proper verification.
Day 3 — AI in the Software Development Lifecycle
Applying AI across all SDLC phases — from requirement analysis, user stories, feature definition, project planning, to technical documentation.
Day 4 — Ethics, Career & Future of Software Engineering
Ethics of AI usage, academic integrity, data privacy, bias awareness, and skills that remain relevant in the AI era.
Key Highlights
- Reached 1,200 students across multiple semesters in a single unified program
- Designed a 4-day progressive curriculum from fundamentals to ethics and career planning
- Developed interactive materials using Slidev with live coding demonstrations
- Created a comprehensive Student Handbook as a post-course reference for all participants
- Structured daily deliverables to ensure hands-on practice of each day’s material
- Taught critical thinking toward AI outputs — “Never trust, always verify”
- Demonstrated that large-scale AI education can be delivered effectively through an online format
Event Documentation
Zoom Session — Day 1: AI as a Learning Assistant
Zoom Session — Day 2: AI as a Pair Programmer
Zoom Session — Day 3: AI in SDLC
Zoom Session — Day 4: Ethics, Career & Future
Online Participants
Participant Deliverables
- Prompt Library — A collection of prompts for academic use (Day 1)
- Mini Coding Exercise — Generate, debug, and document code with AI (Day 2)
- Software Project Planning — User stories and feature list using AI (Day 3)
- Final Reflection & Career Plan — Ethics reflection and skill development plan (Day 4)
- Final Project — Design Your Dream App with AI (independent assignment)
Impact
- Introduced AI as a productivity tool to 1,200 future Software Engineers
- Built early awareness of AI ethics and limitations
- Provided a critical thinking framework for using AI in learning and work
- Delivered practical AI skills that participants can immediately apply
Technologies