Student Guide
Everything you need to know about your learning journey
How Does the Blended Learning Model Work?
Self-Paced
Online Video Lectures
~30 min recorded sessions you can watch on your own schedule
Hands-On
In-Lab Practice
Exercises at the AI Lab with GPU workstations and cloud-based tools
Monthly
Expert Lectures
Sessions with industry professionals — lecture + hands-on lab
Weekly Class Schedule
All classes: 7:00 PM – 9:00 PM | 2 Classrooms
5 classes across 3 days per week
Tuesday
Room 1
Azure AI Fundamentals
Room 2
AI Convergence Solution Consulting
Wednesday
Room 1
AI Engineering (MLOps)
Thursday
Room 1
Azure AI Fundamentals
Room 2
Gen AI + Prompt Engineering
12-Week Academic Calendar
March 26 – June 18, 2026
| Week | Dates | Tuesday | Wednesday | Thursday |
|---|---|---|---|---|
| — | Mar 26 | 🎉 Opening Ceremony (7 PM) | ||
| 1 | Mar 31 – Apr 2 | Azure / AI Consulting | MLOps | Azure / GenAI |
| 2 | Apr 7 – 9 | Azure / AI Consulting | MLOps 🎤 Expert Lecture | Azure / GenAI 🎤 Expert Lecture |
| 3 | Apr 14 – 16 | Azure / AI Consulting | MLOps | Azure / GenAI |
| 4 | Apr 21 – 23 | Azure / AI Consulting | MLOps 🎤 Expert Lecture | Azure / GenAI 🎤 Expert Lecture |
| 5 | Apr 28 – 30 | Azure / AI Consulting | MLOps | Azure / GenAI |
| 6 | May 5 – 7 | Azure / AI Consulting | MLOps 🎤 Expert Lecture | Azure / GenAI 🎤 Expert Lecture |
| 7 | May 12 – 14 | Azure / AI Consulting | MLOps | Azure / GenAI |
| 8 | May 19 – 21 | Azure / AI Consulting | MLOps 🎤 Expert Lecture | Azure / GenAI 🎤 Expert Lecture |
| 9 | May 26 – 28 | Azure / AI Consulting | MLOps | Azure / GenAI |
| 10 | Jun 2 – 4 | Azure / AI Consulting | MLOps 🎤 Expert Lecture | Azure / GenAI 🎤 Expert Lecture |
| 11 | Jun 9 – 11 | Azure / AI Consulting | MLOps | Azure / GenAI |
| 12 | Jun 16 – 18 | Azure / AI Consulting | MLOps 🎤 Expert Lecture | Azure / GenAI 🎤 Expert Lecture |
| Jun 15–19 | 🧑🏫 Tutor Workshop (5 days) | |||
| Jun 20 | 🏆 AI Hackathon | |||
| Final Week | Final Assessment & Mini-Capstone Presentation | |||
| Closing | 🎓 Completion Ceremony & Certificate Award | |||
How Are Students Evaluated?
Attendance
40%≥75% attendance required (9 of 12 weeks)
Expert Lecture Participation
30%Industry expert sessions, hands-on labs, and hackathon prep
Exams (Midterm + Final)
30%Online exams at weeks 6 and 12
How Do I Access the Learning Management System?
Access course materials, submit assignments, and track your progress through our LMS platform. Login credentials will be provided during orientation.
Go to LMS PortalFrequently Asked Questions
What are the eligibility requirements?
The program is open to university students (undergraduate/graduate), recent graduates (within 1 year), and IT professionals. Applicants should have English proficiency and basic Python knowledge.
Is the program free?
Yes. The program is fully funded by KOICA through the Civil Society Cooperation Program. There are no tuition fees for selected participants.
What is the time commitment?
The program runs for 12 weeks with blended learning: online video lectures, live Q&A sessions, in-lab practice, and monthly expert lectures. Expect approximately 10-15 hours per week.
Do I need prior programming experience?
Basic Python knowledge is recommended but not strictly required for the Azure AI Fundamentals course. The Gen AI and MLOps tracks benefit from programming experience.
What certification will I receive?
Upon completion, you will receive a program certificate. Additionally, all students prepare for the Microsoft Azure AI-900 certification exam, a globally recognized credential.
How does the internship placement work?
Top-performing graduates are matched with partner companies for a 2-month paid internship. Partners include Mohirdev, TwinTech, BigTech, KT Uzbekistan, and others.
What equipment do I need?
All hardware is provided at the AI labs on campus, including GPU workstations. You only need a laptop with internet access for online sessions.
How do I apply?
Applications are submitted through our online form. You will need to provide your CV, academic credentials, and a personal statement. Selected candidates will be invited for an interview.
Still Have Questions?
Our team is happy to help you with anything about the program, application process, or what to expect.
Contact Us