15-day big data pilot project
"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.
This course is prepared for Basic Learners.
What you will learn!
Even beginners can complete big data/AI projects by following along.
Understand the analysis > design > development > application process of big data/AI projects
How to use large volumes of data + real-time data for analysis
The process of creating value from big data to AI through the smart car mini project
How to apply open source to your project and structure your architecture
Big Data + AI Learning that ends in 15 days!
Make it fun with a practical project.
📣 Please check before taking the class!
- This course configures a virtual machine server environment based on VirtualBox. Since the Mac M1 and M2 models do not support VirtualBox, practice is not possible , so please check the PC environment for practice before taking the course.
Core technology of the 4th industrial revolution
Understand both big data and AI!
This course is intended to be a training tool to overcome the technical barriers of big data and AI. In particular, it focuses more on the implementation technology and operating principles of big data/AI created by complex distributed software and analysis techniques operating on large-scale infrastructure .
Let's take the example of smart cars, which are already common in our daily lives. The electrical technology inside smart smart cars is creating a lot of data with various IoT sensors that monitor the status of the vehicle and driver, such as driving distance, driving patterns, location, and speed. This information is used in various business fields such as insurance, marketing, advertising, automobiles, and transportation, and the information used in this way is then delivered to the driver.
As such, big data technology has become an indispensable element in our lives. However, big data technology feels difficult and vague, just like the vast amount of data. But what if anyone could link big data and AI technology and create value with just a little bit of technology?
Seeing the forest and the trees at the same time
Everything about big data systems!
In this lecture, we will derive the practical requirements required to build a big data system and explain the core technology elements of big data to solve them. Then, through a virtual smart car pilot project, you will experience how to build and utilize a real-life big data and AI system.
Anyone is welcome! Go through the four steps of collecting, loading, exploring, and analyzing data to create insights and values that lead to machine learning/deep learning. Through this lecture, I hope that IT professionals who are just entering the big data field will be able to develop insight that allows them to see both the forest and the trees of big data at the same time .
As a smart car pilot project
Easy and fast practical learning.
We will build a real-world big data and AI system by directly following the four steps of 'collect → load → explore → analyze' with a virtual smart car pilot project. Through projects using over 20 types of open source + Hadoop ecosystem, we will help you understand the principles of big data and AI more easily and quickly adapt to real-world situations.
As a 15-day pilot project
Concepts and practice at the same time.
The project schedule is a total of 15 days +α It is structured so that you can understand the basic concepts of big data and then follow all the steps of a pilot project required for system construction through hands-on practice.
Who would benefit from learning this?
Big data learning
Students/job seekers who have just started
AI, big data technology
Developers who want to apply
Data utilization/analysis
A worried planner
Interested in big data
Anyone OK
Students, job seekers, developers/engineers, analysts, planners, etc. who are preparing a project using big data and AI technology, open source, and architecture are organized so that they can challenge the project from start to finish with only simple SW knowledge.
Complex big data + AI environment,
Communication and collaboration skills are becoming increasingly important .
By experiencing the roles and positions of various stakeholders firsthand, we help you quickly adapt to the field and achieve good results.
Essential learning environment.
You will need at least one low or high spec PC .
🖥️ Please make sure to refer to the PC environment related to the practice!
- Before starting the training, it is essential to secure free memory and disk space .
- Includes 18GB of hands-on materials and 2 virtual servers.
- Let's configure a virtual machine server environment based on VirtualBox.
- Mac M1 and M2 models do not support VirtualBox, so practice is not possible .
The book of the knowledge sharer
If you are curious?
『Big Data Technology Learned Through Practice』 ( Wikibooks , Revised 2nd Edition)
『Big Data Technology Learned Through Practice : Data Collection, Loading, Processing, Exploration, Analysis, and Machine Learning 』
(Wikibooks, go to book introduction)
Recommended for
these people!
Who is this course right for?
Those who need practical project experience in the big data/AI field
For those who need insight to see both the forest and the trees of big data/AI at the same time
Those who need training tools to overcome the technology barriers of big data/AI
Those who need the ability to utilize open source to grow as an architect
Need to know before starting?
Understand the code print("Hello World!")
Copy & Paste Simple Linux Commands
Hello
This is 빅디
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금융과 통신 등 다양한 분야에서 빅데이터와 AI 관련 전문가로 활동하고 있으며, 기술&경험의 채우기와 비우기를 반복하며 소소한 행복을 찾는 Big.D(빅디) 입니다.
Curriculum
All
128 lectures ∙ (22hr 48min)
are provided.
1. Big data concept
07:54
2. Big data purpose
05:51
4. Big Data Project
09:51
8. R&R in Big Data
04:46
7. Big Data Security
08:09
0. Before you start
02:38
9. In conclusion
03:02