YEAR 2 — ADVANCED AI, LLMs & ENTERPRISE DEPLOYMENT
Program: Applied Artificial Intelligence for Business & Enterprise Systems
Semester 3 (36h):LLMs, Agentic AI & Business Automation
Program Structure
This course is part of a two-year academic program comprising four semesters.
This course corresponds to: Semester 3 of 4.
Each semester includes 12 instructional sessions, with each session lasting 3 hours, for a total of 36 hours per semester.
The complete program represents 144 hours of structured instruction, combining lectures, applied workshops, and project-based learning.
Primary anchors (from our catalogue):
Semester intent
Learn how modern AI systems reason, generate, and automate tasks, without turning them into engineers.
Course Overview
This semester introduces students to modern generative AI systems, including large language models (LLMs) and agentic AI, from a business and operational perspective. Students learn how these systems generate content, automate tasks, and support complex workflows across functions such as research, planning, customer engagement, and international business.
The focus is on prompt design, output evaluation, reliability, and ethical use rather than technical model training. Students also explore agentic AI concepts, understanding how AI systems can coordinate tasks, tools, and decision logic while remaining under human control.
By the end of the semester, students can design AI-assisted business workflows that are realistic, responsible, and aligned with organizational goals.
Assessment structure
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Workshop 1: Prompt & output design for business tasks
-
Workshop 2: Agentic workflow design
-
Final Project: AI agent concept for business automation
COURSE SCHEDULE – SEMESTER 3
| Session |
Focus |
Weekly Session Content |
| 1 |
Learning Concepts |
How machines “learn” |
| 2 |
LLM Fundamentals |
What LLMs really do |
| 3 |
Prompt Basics |
Asking AI effectively |
| 4 |
Advanced Prompting |
Structured & constrained outputs |
| 5 |
LLM Limitations |
Hallucination & reliability |
| 6 |
AI in Business Tasks |
Research, planning, ops |
| 7 |
Workshop 1 |
Prompt design & evaluation |
| 8 |
Agentic AI |
Agents vs chatbots |
| 9 |
Business Agents |
International & ops use |
| 10 |
Ethics of Generative AI |
Risk & misuse |
| 11 |
Workshop 2 |
Agent workflow design |
| 12 |
Final Project |
Business agent proposal |
Target Audience
-
Business students exploring generative AI applications
-
Digital transformation and innovation profiles
-
International business and operations students
-
Professionals interested in AI-driven productivity and automation
Class reference: SEM3/AI
Form Updated on: 22/01/2026 (Version 1)
Last Modified on: 22/01/2026
Program Information:
This program is continuously updated to reflect the latest AI tools, business applications, and regulatory frameworks.
