AI SW Academy – Practical Core Developer Training Course

AI training sessions were held for university students and citizens of Chuncheon, focusing on developing practical core developers. The program emphasized integrating both theory and hands-on practice in AI technologies, with topics including “Building Your Own Chatbot Using GPT” and “Computer Vision with YOLO”.

From November 9 to 17, Chuncheon City hosted the “AI SW Academy – Practical Core Developer Training Program.” Designed for university students and citizens with a basic knowledge of Python, the course offered a blend of lectures and practical exercises on cutting-edge AI topics such as “Computer Vision using YOLO” and “Chatbot Development with GPT.”

Participants enhanced their practical skills by learning topics like object detection, prompt engineering, and fine-tuning for real-world applications. An organizer mentioned, “The curriculum was designed to help local talents quickly adapt to technical work environments.”

Computer Vision with YOLO

Day 1 – Introduction to YOLO (Classification & Object Detection)

| Topic | Notes | |——————————————|—————-| | Getting Started with YOLO (Ultralytics, Tasks) | Practice + Theory | | Data Labeling (Roboflow) | Practice + Theory | | Lunch Break | | | Training a Classification Model | Practice + Theory | | Inference and Visualization (Classification) | Practice | | Training a Detection Model | Practice + Theory | | Inference and Visualization (Detection) | Practice |

Day 2 – Advanced YOLO Applications (Segmentation & Pose Estimation)

| Topic | Notes | |————————————————–|—————-| | Training a Segmentation Model | Practice + Theory | | Inference and Visualization (Segmentation) | Practice | | Lunch Break | | | Training a Pose Estimation Model | Practice + Theory | | Inference and Visualization (Pose Estimation) | Practice | | Streaming Processing with OpenCV | Practice | | Simple UI Setup and Deployment with Streamlit | Practice |

Build Your Own Chatbot with GPT

Day 1 – Basics of OpenAI API (Prompt Engineering)

| Topic | Notes | |————————————————–|—————–| | Getting Started with OpenAI API (Org, Team, API Key) | Practice + Theory | | Core Concepts (Model, Token, Limit, Pricing) | Theory | | Lunch Break | | | Using Completion Model & Understanding LLM | Practice + Theory | | Using Chat Models and Image Input | Practice + Theory | | Utilizing Prompt Engineering | Practice | | Tool Control with Function Calling | Practice + Theory |

Day 2 – Advanced OpenAI API (RAG & Fine-Tuning)

| Topic | Notes | |——————————————————–|—————–| | Understanding Vector Stores and Embeddings | Practice + Theory | | Using File Search and Understanding RAG | Practice + Theory | | Lunch Break | | | Understanding Fine-Tuning & Creating Training Data | Practice + Theory | | Practicing with Fine-Tuning API and Model Training | Practice | | Checking Fine-Tuning Results and Running Models | Practice | | Simple UI Setup and Deployment with Streamlit | Practice |