"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.
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, Finished in 15 Days!
Make it fun with a practical project.
📣 Please check before taking the class!
This course aims to serve as a training tool for overcoming the technological barriers of big data and AI. It focuses particularly on the implementation technologies and operating principles of big data/AI, created by complex distributed software and analytics techniques operating on large-scale infrastructure .
Let's take the example of smart cars , already a common sight in our daily lives. The electronic technology within these smart cars generates a vast amount of data through various IoT sensors that monitor the vehicle and driver's conditions, from mileage to driving patterns, location, and speed. This information is then utilized in various business sectors, including insurance, marketing, advertising, automotive, and transportation, and then relayed back to the driver.
As such, big data technology has become an indispensable element of our lives. However, the sheer volume of data makes big data technology seem daunting and vague. But what if anyone could integrate big data and AI technologies and create value with just a little bit of technical skill?
This course identifies the practical requirements needed to build a big data system and explains the core technologies of big data to address them. Following this, through a virtual smart car pilot project, you will gain hands-on experience building and utilizing real-world big data and AI systems.
Anyone is welcome! Go through the four steps of collecting, loading, exploring, and analyzing data to generate insights and value through machine learning/deep learning. Through this course, I hope IT professionals just entering the big data field will gain the insight to see both the forest and the trees simultaneously .
Through a virtual smart car pilot project, you'll build a real-world big data and AI system by following the four steps of "collect → load → explore → analyze." Through projects leveraging over 20 open source projects and the Hadoop ecosystem, you'll gain a deeper understanding of big data and AI principles and quickly adapt to real-world applications.
The project schedule is 15 days +α in total. 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.
Big data learning
Students/job seekers who have just started
AI, big data technology
Developers who will apply
Data utilization/analysis
A worried planner
Interested in big data
Anyone OK
Students, job seekers, developers/engineers, analysts, planners, and others preparing for projects using big data and AI technologies, open source, and architecture can tackle the project from start to finish with only basic SW knowledge.
By experiencing the roles and positions of various stakeholders firsthand, we help you quickly adapt to real-world situations and achieve excellent results.
You will need one low or high spec PC below.
🖥️ Please refer to the PC environment related to the practice!
Big Data Technology: Practical Learning ( Wikibooks , 2nd edition)
Big Data Technology : Data Collection, Loading, Processing, Exploration, Analysis, and Machine Learning
(Wikibooks, go directly to the book introduction)
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
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Learners
117
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373
Answers
4.9
Rating
1
Course
금융과 통신 등 다양한 분야에서 빅데이터와 AI 관련 전문가로 활동하고 있으며, 기술&경험의 채우기와 비우기를 반복하며 소소한 행복을 찾는 Big.D(빅디) 입니다.
All
128 lectures ∙ (22hr 48min)
Course Materials:
All
117 reviews
4.9
117 reviews
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Average Rating 5.0
5
빅데이터 실무 프로젝트를 따라할 수 있는 몇 안되는 강의였습니다. 직접 따라하기 많이 버겁지만, 개념적으로 많은 도움을 받았습니다. 남은 수강기간이 얼마 남지 않았는데, 다시 한번 복습 해려고 합니다.
둥굴이님! 파일럿 프로젝트 수행에 수고 많으셨습니다! 빅데이터의 다소 많은 것을 다루다 보니 강의가 좀 무겁습니다. ^^;; 꼭 한번 더 복습하세요~! -빅디 드림
빅디님 환경구성을 직접 클라우드데라를 설치를 해보느라 수강을 다 못했습니다 ㅠ 혹시 수강기간 한달만 연장가능할까요? 죄송합니다ㅠ
Reviews 1
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Average Rating 5.0
5
빅데이터 AI 프로젝트를 따라해 볼 수 있어서 좋습니다. 강의 냉도 이해가 잘되고..프로젝트 끝까지 달립니다! 파일럿프로젝트 완료 했어요~
안녕하세요! 빅디입니다! 파일럿 프로젝트의 어려운 과정들을 많이 완수 하셨네요! 끝까지 화이팅 입니다. - 빅디 올림
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