Certificate Description
The UNITEF 2021 AI Application Proficiency Certificate Program is a Flagly Certification Program certified and administered by the University Industrial Technology Force (UNITEF) in South Korean and the American Society for Convergent Applications in AI (ASCAAI).
Prove your AI application proficiency by showcasing your applied AI mobile app, desktop app, or web service and get certified by experts from industry and academia. Once certified, your work will be preserved as a certified Flagly Project, which you can showcase as part of your professional portfolio.
Certified applicants will be offered the following benefits through Flagly
- A certified Flagly Project that showcases your work and skills
- Referral to full-time employment opportunities at various tech companies
- Internship opportunities at various tech companies
Project Description
You will be required to submit a project for this certificate.
For certification, you must submit your work in the form of a Flagly Certification Project. In this Certification Program, you are required to submit a project that applies artificial intelligence in the real world such as in the form of a mobile app, desktop app, or web service. Your project must be organized into 6 parts, or "project items" as specified below. Each item will be evaluated individually according to the description below.
Scoring
Your total score must be equal to or higher than the required score to pass this certificate program.
Project Items
You will be required to enter details on your project according to the items below. These items will be score individually, and the sum of these scores will become your total.
Problem Definition and Approach
25 Points
Define the problem that you wish to solve and explain your approach to solving the problem, in detail. Evaluation is based on the following. (1) Advantages to applying AI to the problem, compared to existing methods. (2) Which AI model you will use and why. (3) What data, if any, is required to train your AI model. (4) How realistic/practical is your approach. The details of your project may affect the evaluation of this section.
Explain how your app or service improves upon existing solutions (apps, services, etc.) that solve your problem, if any exists, in detail. Evaluation is based on the following. (1) Thorough investigation of existing solutions. (2) Improvements over existing solutions.
Data Collection and Pre-Processing
20 Points
Explain the data used to train and evaluate your model, including collection and pre-processing, in detail. Feel free to add code (public GitHub links, etc.), screenshots, etc. Evaluation is based on the following, (1) Collection of data required for model training and evaluation. (2) Appropriate pre-processing of data according to your model. (3) Utilization of various tools and libraries for effective pre-processing.
Model Training and Evaluation
20 Points
Explain how you trained and evaluated your model, in detail. Feel free to add code (public GitHub links, etc.), screenshots, etc. Evaluation is based on the following. (1) Using data to train models. (2) Selection of model evaluation metrics. (3) Reliable evaluation using appropriate validation techniques.
Model Application and Final Product
20 Points
Show your final app or service that integrates your AI model. Feel free to add code (public GitHub links, etc.), screenshots, video links, or direct links to your app or service. Evaluation is based on the following. (1) Integration of your AI model into your app or service. (2) Quality of your app or service.
Project Conclusion and Summary
5 Points
Summarize the contents of your project, including the problem, your approach to solving the problem, and potential impact of your work.
Evaluated by:
Prof. Su Pei-Chen
+ 4
