What is AICE Associate, an essential certification test in the AI era?

AICE Associate International standard certification that objectively proves AI and data utilization capabilitiesto,

From the basics of data analysis to machine learning and deep learning concepts A certification showing that they are talented people with a balance of overall AI skillsThis is it.

With one test
Understanding of Python, data preprocessing and EDA skills, machine learning algorithm concepts, and basic understanding of deep learning

Since all of them are verified, Very useful for proving skill levels from beginners to business workersI'll do it.

In particular, AICE Associate is not just about memorizing theories Assess your ability to solve problems based on real dataBecause I do it,

If you prepare for this certification, it will come naturally Basic AI skills that can be used directly in practiceIt becomes stronger.

Why is AICE Associate in the spotlight?

✔ An era where AI and data-based work has become essential for all job groups

Planners, marketers, developers, analysts...

Regardless of the job group, the ability to read and interpret data has become a “basic” rather than a “choice.”

AICE Associate is a qualification that can officially prove this basic skill.

✔ Practical evaluation system trusted by companies

Recent companies are more than a simple history Talented people who can think and solve problems based on dataI prefer it.

AICE Associate can objectively demonstrate these competencies, increasing competitiveness when getting a job or leaving a job.

✔ Step-by-step structure that even beginners can start safely

Thanks to the systematic steps leading from Associate to Professional

Even if you are new to the AI field, you can have a stable growth path.

Class introduction

This class is aimed at data analysis beginners who aim to pass the AICE Associate certification.

You can learn the core concepts of data analysis based on Python and Pandas, and learn how to use exploratory data analysis (EDA), data preprocessing, machine learning, and deep learning in actual practice.

It doesn't just cover theory; it focuses on courses that directly handle data and practice, and at the end of the course, you can create not only a qualification test, but also your own data analysis project.

Hallo I am Working as a PM at an AI and fintech company, a former back-end developer, and a hands-on instructor with AI SaaS PO experienceI have been teaching Python, web development, data analysis, and AI basics for over 7 years, growing with students at various companies and educational institutions.

In addition to B2B training such as Samsung Finance Training Center and Samsung Life Insurance, I received many reviews as “the instructor who explains complex content in the easiest and most clear way” by conducting various types of training, including the experience of winning excellent EBS Software lectures, and online lectures for PM and PO.

I am a person who finds AI and data difficult “Why is this happening” and “where is it used”I think the most important thing is to explain it so that you can understand it accurately.

This AICE Associate class is also designed so that you can feel solid growth even in a short period of time, based on knowledge and know-how that has been directly experienced and verified in practice.

Even if you're new to AI, it's okay if the data is overwhelming.

I've included all my experiences and methods in this class until you can analyze and judge for yourself.

We look forward to growing together. 🙌

Subject and configuration

Each lesson focuses on areas frequently presented in actual tests and is conducted in the order of explanation of theory → practical example → practical application.

topics: Complete preparation for the AICE Associate certification exam and learn a practical data analysis course
organize
- AICE Associate exam structure and practical strategies
- Learn the basics of Python & Pandas
- Exploratory data analysis (EDA)
- Data preprocessing exercises
- Machine learning modeling
- Deep learning basic modeling

planning background

AICE Associate is the most popular certification chosen by data analysis beginners, but it is not easy to learn a practical sense with only commercially available textbooks.

So this class

It accurately indicates the scope of the test
While learning from an analytical flow often used in practice
It was designed by leaving a code template that can be used immediately.

Target students

Those who are preparing for an AICE Associate certification
Those who are learning data analysis for the first time but want to learn a practical sense
Those who want to create an analysis portfolio with Python and Pandas
Non-majors who want to enter the field of AI or machine learning

Course effect

You can understand and organize the entire AICE Associate exam submission range.
You can directly analyze data using Python and Pandas.
Learn the basic structures of machine learning and deep learning through practice.
Reports can be created by analyzing actual datasets.
You'll get analytical templates and know-how that you can continue to use even after taking the course.

Difficulty level and player knowledge

Difficulty: Introductory to elementary to intermediate
Required player knowledge: none

You don't need to have any math or coding experience.

It's a method of learning by following examples one by one, so even first-time learners can get started without difficulty.

However, if you know a little bit of Python's basic syntax, you can understand it a little faster.

Content differentiation points

Fully reflects the official scope of AICE Associate
It systematically covers concepts, exercises, and problem solving for each of the 14 question areas.
Practice structure centered on a sense of practicality
It's not just a theory; you can directly handle the data and see the results with your own eyes.
Harmonizing qualification preparation and practical application
It provides code and templates that can be used directly for actual analysis tasks while preparing for tests.
A natural connection from visualization to modeling
Visualize with matplotlib/seaborn and experience a complete analysis process leading to machine learning and deep learning.
Step-by-step design that even non-majors can follow
It is a structure that leads to explanation of concepts → practical examples → practical problems, so you can follow along step by step without feeling burdened.

Expected results

By the end of this lesson,

You can prepare for the AICE Associate exam with confidence,
Data can be analyzed directly with Python & Pandas,
You can directly implement the basic structures of machine learning and deep learning.

[6 hours to complete] Core attribute classes for AICE Associate certification

[6 hours to complete] Core attribute classes for AICE Associate certification