Program / Cohort 3

A shared AI foundation.
A focused path forward.

One mandatory certification track and one elective, delivered through preparation, lab practice, and expert feedback at TIU.

Duration
12 weeks · 24 sessions
Class time
7:00 - 9:00 PM
Funding
Fully funded by KOICA

Course architecture

Build breadth first.
Then add depth.

All students take AI-901. The elective determines whether the second path centers on generative AI, solution consulting, or production engineering.

01Mandatory

Azure AI Fundamentals (AI-901)

Core AI concepts, Azure services, and preparation for your global Microsoft certification.

For students and professionals starting their ai journey.

Course details

Choose one

Elective pathways

Match your course to the kind of AI work you want to practice.

02

Gen AI + Prompt Engineering

From LLM fundamentals to RAG, agents, and multimodal AI - hands-on generative AI skills.

 03

AI Convergence Solution Consulting

From AI readiness assessment to strategic proposals - learn to lead AI projects as a consultant.

 04

AI Engineering (MLOps Foundations)

From GenAIOps fundamentals to production deployment - build, evaluate, and operate AI systems on Azure.

Confirmed timetable

Three evenings.
Two courses each.

September 8 - November 28, 2026. Every student takes one AI-901 section and one elective on different days. Current Console pairing is Gen AI -> AI-901 A; MLOps and Consulting -> AI-901 B. Consulting meets in person on Thursdays in Room 1 (B414) from 17 September 2026, with 20 places.

7:00 - 9:00 PM

Blended learning

Prepare. Practice.
Test in context.

The semester combines self-paced material with in-person labs and industry-led sessions. The work moves from concept to deployment evidence.

  1. 01

    Online preparation

    Review focused material before class and return to it when a concept needs reinforcement.

  2. 02

    In-lab practice

    Apply the material on campus using cloud tools and the AI Lab workstations.

  3. 03

    Expert feedback

    Connect technical decisions to real projects, delivery constraints, and industry practice.

  4. 04

    Capstone evidence

    Demonstrate a working prototype and communicate its value at the hackathon.

Completion

Clear requirements.
Visible progress.

Completion requires ≥75% attendance (9 of 12 weeks), grade D or above in both enrolled courses, and taking the midterm TEST (Week 7, online) and final TEST (Week 12, online).

Attendance≥75% attendance required (9 of 12 weeks)
AssessmentAttendance, expert lectures, exams, and course project work
GradesGrades: A · B · C · D · F
Open student guide Admissions information

For faculty

Training of Trainers.

The center also trains the trainers: five-day applied AI workshops for center tutors, TIU faculty, and faculty from other universities and colleges. The 4th workshop runs October 22-28, 2026.

ToT workshops and history October 2026 workshop