YEAR 2: LLMs, Agentic AI & Business Automation

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):

• LLM/10 – Introduction to LLMs (https://linguistic-communication.com/courses/llm-10-introduction-to-llms-and-prompt-engineering/)

• LLM/20 – Advanced LLM Prompt Engineering (https://linguistic-communication.com/courses/llm-prompt-engineering/)

• Agentic AI for International Business (https://linguistic-communication.com/courses/agentic-ai-for-international-business/)

• AL/10 – Artificial Learning Techniques (https://linguistic-communication.com/courses/al-10-artificial-learning-techniques/)

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

• 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.