Part 1: Understanding Generative AI

Subject 1: Generative AI and Artificial Intelligence Theory

Chapter 1: Understanding Artificial Intelligence
1.
Overview of Artificial Intelligence
2.
History of Artificial Intelligence
· Example
Chapter 2: Understanding and Principles of Generative AI
1.
An Overview of Generative AI
2.
Principles of Generative AI
· Example
Chapter 3: Core Elements of Generative AI
1.
Generative AI algorithms
2.
Core technologies of generative AI
· Example
Chapter 4: Generative AI: Understanding ChatGPT
1.
Understanding ChatGPT
2.
Various generative AI
· Example

Subject 2 Prompt Engineering Technology

Chapter 1: Understanding Prompt Engineering
1.
An Overview of Prompt Engineering
2.
Composition of Prompt Engineering
· Example
Chapter 2: Prompt Engineering Core Technologies
1.
Fundamentals of Prompt Engineering
2.
Hyperparameters in Prompt Engineering
· Example
Chapter 3: Prompt Engineering Models and Design
1.
Prompt Engineering Model
2.
Prompt Engineering Design
· Example
Chapter 4: Prompt Engineering Ethics Principles
1.
Copyright of generative AI
2.
Prompt Engineering Ethics Principles
· Example

Part 2: Economic and Management Analysis

Subject 3: Strategy and Financial Analysis

Chapter 1: Analysis of the Corporate Environment
1.
Business and Management
2.
Analysis of the company's external environment
3.
Analysis of the company's internal environment
4.
Organizational Management Theory
· Deep Learning Prompts
· Example
Chapter 2.
Strategy formulation
1.
Understanding business strategy
2.
Business unit level strategy
3.
Corporate-level strategy
4.
Multinational Corporations and Global Management
· Deep Learning Prompts
· Example
Chapter 3.
Marketing strategy
1.
Understanding Marketing
2.
Marketing Components
3.
consumer behavior
4. STP Strategy
· Deep Learning Prompts
· Example
Chapter 4.
Financial and Accounting Analysis
1.
The significance of financial management and accounting
2.
Understanding Financial Statements
3.
Key Principles of Financial Management
4.
Investment theory
· Deep Learning Prompts
· Example

Subject 4: Finance and Economics

Chapter 1.
Understanding Economic Indicators
1.
unemployment
2.
price
· Practice problems using ChatGPT
· Deep Learning Prompts
· Example
Chapter 2. Analysis of GDP and Economic Fluctuations
1. GDP
2.
economic fluctuations
· Practice problems using ChatGPT
· Deep Learning Prompts
· Example
Chapter 3.
Monetary policy and financial markets
1.
Central Bank and Monetary Policy
2.
Interest rate determination principles and financial markets
· Practice problems using ChatGPT
· Deep Learning Prompts
· Example
Chapter 4.
Understanding the Stock Market and Market Analysis
1.
Interest rates and asset markets
2.
Asset Market and Securities Investment Principles
3.
Bond and stock investment
· Practice problems using ChatGPT
· Deep Learning Prompts
· Example

Official Guidebook Released for the AI ​​and Economics/Management Convergence Qualification Exam

The official guidebook for the AI ​​Business Test (AIBT), Korea's first qualification exam that simultaneously evaluates generative artificial intelligence (AI) and economic and management knowledge, has been published.
This textbook is unique in that it encompasses the essential AI utilization capabilities and economic and management expertise that future talent and current practitioners must acquire to respond to the rapidly changing business environment.

The AIBT goes beyond traditional knowledge-based memorization tests to test candidates' ability to collaborate with AI to analyze data, develop strategies, and interpret policies. Problem-solving skills utilizing AI are no longer secondary skills but fundamental competencies required across all industries, and the AIBT is positioned as the first domestic test to systematically assess this ability.

Features and composition of official textbooks

The "AI Business Test Official Guide" is the only official textbook written directly by the exam committee, and is systematically designed to help you learn the entire exam process.
It broadly covers four areas of the exam, including the fundamental principles of generative AI, prompt engineering techniques, business analysis, and economic and financial analysis, providing knowledge that can be immediately applied in practice.
Additionally, it contains a wealth of practical examples utilizing ChatGPT, actual past exam questions, and application cases from various industries, helping test takers go beyond exam preparation and secure competitiveness in actual business settings.

The test consists of a total of 40 questions (a mix of multiple choice and subjective questions) and is administered as a 60-minute CBT (Computer Based Test).
The passing score is 70 points or higher out of 100, and test takers will be tested for accuracy, reproducibility, and efficiency during the problem-solving process.

Core competencies required across industries

AIBT is gaining attention as a new standard for evaluating AI business utilization capabilities required in various industries such as IT, finance, marketing, public corporations, and startups.
The purpose of the exam is to cultivate talent that can integrate AI into corporate strategy and the entire problem-solving process, beyond viewing it as a mere tool.
In this respect, AIBT provides job seekers with a differentiated competitive edge and current practitioners with an opportunity to strengthen their practical skills.

A Practical Guide to Preparing for the Future

The "AI Business Test Official Guide" goes beyond simply preparing for the test.
This book is a practical guide for businesses and individuals to learn the standard procedures and responsible use practices required in the AI ​​era.
Through the learning process, candidates can systematically train their AI-powered data analysis and strategy development skills, enabling them to create reproducible and sustainable results in industrial settings.

The publication of this guidebook will serve as a new starting point for fostering future talent and strengthening the competitiveness of the entire industry, amidst the convergence of AI and economics and management.