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AI for Work

Perfect Mastery of DB Modeling & SQL in the AI Era: How to Read Structures and Verify AI

"SQL study in the AI era must be completely different. Instead of typing exercises that machines can already do, I will deliver real 'AI collaboration practical know-how' condensed from a developer's perspective—focusing on making AI understand your DB design (ERD) and sharply verifying the generated code."

1 learners are taking this course

Level Beginner

Course period Unlimited

SQL
SQL
ERD
ERD
verification
verification
database-modeling
database-modeling
validations
validations
SQL
SQL
ERD
ERD
verification
verification
database-modeling
database-modeling
validations
validations

What you will gain after the course

  • The ability to independently read professional database design diagrams (ERDs) and identify relationships between data.

  • Prompting techniques to help AI accurately understand your DB structure and generate perfect SQL.

  • The ability to verify and control quality by identifying common SQL errors made by AI (such as JOIN fan-outs, etc.)

  • A 'modeling mindset' that looks at data structurally, going beyond simple grammar memorization.

The SQL generated by AI produced a result... but is this data actually correct? 🤔

AI these days is truly intelligent. It can whip up most SQL queries without any errors. However, those who have actually tried implementing AI in their practical work soon run into the real problem.

"How on earth should I explain the complex conditions I want to the AI?" "I extracted the data using the code the AI wrote... but could the data be missing something or be inflated?"

In this course, we boldly move away from the old method of simply memorizing SQL syntax. Instead, from the perspective of a professional developer, we will help you develop prompt strategies to make AI perfectly understand your company's database schema (ERD), as well as the verification skills to sharply identify logical errors (such as JOIN inflation) hidden within the plausible-looking queries generated by AI.

If you've felt self-conscious about asking developers for data every time, use this course to extract data exactly how you want and equip yourself with true 'AI collaboration skills' that you can trust 100%!


Key Features of This Course

📌 No simple grammar memorization! The core is DB modeling and 'verification.' We have condensed the typing practice that machines can do for you. We invested more than half of the lecture in 'understanding relational DB structures,' which is the backbone of successful data extraction in practice, and 'how to doubt and verify AI outputs.'

📌 We provide prompting know-how to eliminate the frustration of wondering, "What should I even ask?" No need to struggle in front of an empty chat window. We generously reveal the three essential conditions and formatting techniques for feeding your DB structure to AI and extracting complex business requirements into perfect SQL.

📌 20% Theory, 80% Practice. Continuous verification with a sample shopping mall DB. This is not a lecture just for watching. You will build a practical shopping mall DB where members, products, and orders are interconnected, and develop hands-on skills by running and fixing flaws in AI-generated queries yourself.

📌 This is a perfect self-reliance guide for SQL beginners with zero base. It is perfectly fine even if you have no prior knowledge of DBs. If you have ever asked a question in an AI chat window, anyone can reach the level of extracting data and verifying integrity on their own without a developer's help.

Recommended for these people

I feel self-conscious about asking developers for data every single time.

Those who are tired of waiting for the development team's schedule when they need data immediately for work. Planners / Marketers / PMs who tried to extract it themselves using ChatGPT out of frustration, but felt overwhelmed and didn't even know how to start asking the questions.

SQL generated by AI—the results are out, but are they actually correct?
The code ran without errors and you pulled the data, but you feel anxious because you aren't sure, "Is this truly an accurate figure without any missing or inflated data?" Junior developers / Data analysis beginners who want to sharply catch common AI mistakes and control the quality.

I'm tired of studying by memorizing grammar from thick books.
Those who can handle SELECT and WHERE but give up once JOIN is involved. Anyone who wants to boldly hand over mechanical typing practice to AI and instead arm themselves with real-world practical weapons: "How to read DB diagrams (ERD)" and "Verification."

After taking this course

  • 0% developer dependency, complete data independence 🚀

  • Solve the helplessness of a blank chat window! (ERD-based prompting) 💬

  • No more anxious copy-pasting; equip yourself with a sharp 'eye for verification' 🔍

  • A 'modeling mindset' that sees through data 🧠

  • Setting up 'Your Own AI Data Senior' to use for a lifetime 🤖

💡Please describe the changes that can be achieved by taking this course.

  • After taking this course, what will you understand and be able to do well?

  • Please explain in as much detail as possible how the students can transform.

  • You can increase persuasiveness by offering suggestions to solve the students' concerns.

  • You may also add vivid practice results or portfolios.

Here is what you will learn.

Escape the Empty Query Window! Practical AI Prompting

Learn 'real-world practical prompting' that perfectly feeds your company's database structure (ERD) to AI and generates spot-on SQL in just one second.

Hands-on data extraction confirmed with your own eyes

Stop with the obvious theories you only look at! You will directly import sample shopping mall data into DBeaver and see firsthand how the queries you wrote (or the AI created) actually operate in a real-world business context.

The Backbone of Complex Data: Decoding Real-World ERDs

Did you get a headache whenever multiple tables appeared? You will equip yourself with 'modeling-based thinking' to intuitively interpret the complex lines and symbols of an ERD—the blueprint of a database—and grasp the relationships between scattered practical data at a glance.

"Why is there no data?" Perfect verification of silent traps

Is the code running fine, but the results seem off? Instead of blindly copying and pasting, you will learn a developer's 'validation checklist' to identify and fix common query pitfalls that occur in practice.

The person who created this course

Hello, I am developer TechTani.

I am currently developing and operating various utility web/app services myself, and I am closely applying numerous AI automation tools (LLMs) to practical work in the field.

Working as a developer in the field, the most disheartening thing I've witnessed was seeing many planners and marketers endlessly waiting for a developer's schedule just to extract data, or making decisions based on incorrect data because they couldn't spot critical errors in SQL generated by AI.

In the era of generative AI, we have entered a time where even non-developers can freely handle the data they want. However, to do so, the ability to understand DB structures and "verify" results—rather than just giving simple "commands"—is essential.

Moving beyond the past of relying solely on developers, here is how to set up AI as your own perfect data mentor! I have poured all the practical perspectives and know-how of a current working developer into this lecture.

  • Current) CEO of DevPT (Full-stack development and operation of numerous web/app services)

  • Current) AI automation tools and autonomous AI agent environment construction and research

  • Current) Operator of 'Techtani', a developer growth and technology sharing channel


Notes Before Taking the Course

💻 Practice Environment

  • Operating System (OS): You can take the course perfectly in both Windows and macOS environments. (Detailed installation guides are included in the curriculum.)


  • Databases and Tools: We use MySQL (free version), the most widely used in practice, and DBeaver (free version), an intuitive SQL client. We will go through everything from installation to setup together at the beginning of the course (Section 2), so there is no need to install them in advance.


  • AI Tools: Please prepare one of the Generative AI services you usually use or prefer, such as ChatGPT, Claude, or Gemini. (You can follow the practice 100% identically regardless of whether you use a paid or free version.)


📝 Essential Prerequisites

  • No prior knowledge of coding or databases is required at all. (Complete SQL beginners are more than welcome)

  • Instead of a mindset of trying to memorize complex grammar, all you need to bring is your curiosity to solve problems by conversing with AI and a willingness to 'question' the results at least once!

Learning Materials

Prerequisites and Important Notes

  • No prior knowledge of SQL or databases is required at all. This is a 'spoon-fed' course designed so that even complete beginners with zero background can easily follow along.

  • Experience using generative AI such as ChatGPT or Claude is required. Having the level of experience where you have entered everyday conversations or questions is sufficient.

  • This is not a lecture based on simple rote memorization. The most important thing is an active hands-on attitude, where you set up the provided practice environment and "verify" the results by conversing with the AI.

Recommended for
these people

Who is this course right for?

  • Practitioners who want to go beyond SQL basics and pursue advanced learning in data modeling and ERD.

  • Junior developers and data analysts who struggle with understanding and verifying data structures when using AI SQL.

  • Planners and PMs who wish to contribute to system planning and development by strengthening their database design capabilities.

  • The independence to extract the data you want directly with AI, without having to rely on developers every time.

Need to know before starting?

  • No prior knowledge of SQL or databases (DB) required (Complete beginners are more than welcome!)

  • Basic experience typing everyday questions into AI chat windows such as ChatGPT and Claude

  • Basic PC skills to follow the lecture screen and install practice programs (such as DBeaver).

  • The willingness to learn by collaborating with AI for rapid practical application, rather than memorizing grammar from thick books.

  • The curiosity to question "Is this right?" at least once, rather than blindly copy-pasting the query provided by AI.

Hello
This is tani

Career Verified

👋 Hello. I am Techtani, a freelance developer who wants to deliver practical knowledge in an easy and clear way.

I have successfully completed over 40 practical projects across various fields, and recently, I have been focusing on data analysis and processing, building the essential technical capabilities required for the AI era.

As I am still actively developing in the field, I am focusing on creating lectures that cultivate practical problem-solving skills that can be applied immediately to real-world tasks, rather than just listing simple theories.

I will guide you “without making it difficult, yet without missing the essence,” so that even non-majors and beginners can follow along without feeling overwhelmed.

🎥 [Techtani YouTube Channel] Visit my YouTube channel to get a sneak peek at various IT insights, practical tips, and my teaching style!

In an era where technology changes so rapidly, if you want to master the essential core knowledge in the most efficient way, join me! 🚀

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Curriculum

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61 lectures ∙ (1hr 2min)

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