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Essential Backend Concepts You Must Know When Coding with AI ①

Are you overwhelmed by AI-generated backend code and unsure where to look? Learn how to identify missing conditions in requests, APIs, data, concurrency, authentication, and caching—and what requirements to give the AI and what criteria to use when reviewing its output.

144 learners are taking this course

Level Basic

Course period Unlimited

Network
Network
REST API
REST API
DBMS/RDBMS
DBMS/RDBMS
concurrent
concurrent
JWT
JWT
Network
Network
REST API
REST API
DBMS/RDBMS
DBMS/RDBMS
concurrent
concurrent
JWT
JWT

What you will gain after the course

  • You can identify missing conditions in AI-generated API, DB, and authentication code—such as who uses it, what states are allowed, and what to do if it fails.

  • By tracing the path of a request from the browser to the server and database, you can identify which stage is causing the “server isn’t working” problem.

  • You can provide the AI with resources, contracts, rules, and validation criteria instead of feature names, then review the generated code based on evidence.

Recommended for
these people

Who is this course right for?

  • Beginner to intermediate developers building backends with AI but lacking criteria to determine whether the results are correct

  • Those who want to understand how servers, databases, and authentication work at a fundamental level while working in frontend development or planning.

  • Those who have taken courses on specific frameworks but still find concepts like requests, data, concurrency, and permissions unclear

Need to know before starting?

  • No prior knowledge of any specific language or framework is required. There are no coding exercises or environment setup involved.

  • Having experience using web services and simply having heard of HTTP and JSON is enough.

Hello
This is haeyeomiso

Career Verified

330

Learners

18

Reviews

38

Answers

4.9

Rating

4

Courses

Nice to meet you!

I am Haeyeo, someone who explores the infinite possibilities of AI and computer science and wishes to share that journey with all of you.

During my undergraduate years, my passion for my major was so intense that I was nicknamed a 'Computer Science Addict.' I graduated at the top of my class with a major GPA of over 4.4. I then earned my Master's degree in AI from Seoul National University and further deepened my expertise through a doctoral program.

However, as I felt as much of a fascination for solving real-world problems with AI as I did for theoretical exploration, I took a break from my doctoral studies to gain valuable hands-on experience by working on AI-based LLM and video analysis projects at a startup.

Currently, I am working as an LLM project developer and PM at one of the top three conglomerates in Korea, contributing to creating positive changes that AI technology will bring to our lives. I will generously share with you the challenges I faced, the problem-solving processes I went through, and the vivid know-how I gained in the field. I will be your reliable guide on this journey into the exciting world of AI.

Inquiries and Proposals: haeyeo.open@gmail.com

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Curriculum

All

50 lectures ∙ (7hr 41min)

Published: 
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