Department of CSE, BUET

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Admission deadline: (Batch 30)
2024-12-01

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Batch 30 Courses

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Applied Machine Learning
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LLM & Prompt Engineering
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Business Analytics
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Microsoft SQL Server Database Management and Administration
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Introduction to Python
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Course Detail:

Course Name: LLM & Prompt Engineering

Introduction

The LLM & Prompt Engineering course at the Bangladesh-Korea Information Access Center (BK-IAC) is designed for professionals aiming to delve into the future of AI by mastering Language Model (LLM) technology and prompt engineering. Participants will learn the latest trends and practical techniques to harness the power of AI for their projects and businesses. This course covers essential concepts, effective prompt crafting, and real-world applications of LLM technology.

Objectives

To provide an introduction to the fundamentals of Language Models (LLMs) and their applications.
To equip participants with skills for crafting effective prompts for maximum efficiency.
To explore advanced AI concepts through real-world case studies and hands-on exercises.
To demonstrate practical implementation by building intelligent systems using LLM technology.

Prerequisite

We expect participants to have prior programming knowledge, specifically in Python. If you lack this background, please learn the basics of Python before starting this course. This course does not cover Python fundamentals, and enrolling without adequate Python knowledge may lead to significant difficulties in understanding the content, resulting in a poor learning experience. This responsibility lies solely with the participant. We have also offered an "Introduction to Python" course (Course Details Link), which you can complete prior to enrolling in this course.

Tentative Class Schedule

The course length will be 3 weeks with two classes in each week and 3 hours in each class. The tentative lecture plan of the course is as follows:

Class#	Content
1	Introduction to LLMs and their Applications, Open-source LLMs, Introduction to API Calls
2	Crafting Effective Prompts: Techniques (Zero-shot Prompting, Few-shot Prompting) and Best Practices
3	Chain of Thoughts, ReAct, Reflexion, Self-consistency, Retrieval Augmented Generation (RAG)
4	Resume Creation, Marketing Content Creation
5	LangChain, Designing a custom AI Chat Bot
6	Case Study and Project Evaluation

Learning and Evaluation Method

Classes will be conducted in a multimedia-equipped environment.
Expert faculty members from the field of Artificial Intelligence will lead each class.
All instructors are faculty members from the Department of CSE, BUET.
Participants will have access to PCs for practical exercises, ensuring an interactive learning experience.
An evaluation will take place through assignments or a final project at the end of the course.
We will provide a certificate upon successfully passing this course.

Further Query

Email: iac@cse.buet.ac.bd
Phone: 9665650-80 Ext-6438
Mobile: 01552015596