AI Principles and Structure: ② What Does AI See and Use to Make Judgments?

👉 A starting point for those who want to properly understand AI for the first time. If you understand what AI does but aren’t quite sure why it works the way it does, this is the course to start with. In this course, we’ll explain step by step, from the beginning, how artificial intelligence differs from traditional programs and how learning and decision-making take place. Without complicated equations or coding, the course is designed to help you understand the big picture of how AI works.

You might be able to create flashy images with AI tools, but what kind of content should you actually plan? And can you create a cohesive shorts video? We'll support you through six lectures to help you tackle these aspects as much as possible.

You have likely seen many misleading lectures about monetizing AI music. Yes, AI music monetization is possible. It is simply not difficult enough to justify paying expensive tuition, nor is it a way to make easy money. This is an action-oriented course for those who are interested in AI music monetization but feel lost on where to start. Based on my personal experience of creating AI music, organizing albums, distributing tracks, and utilizing YouTube and TikTok, I have structured the workflow—from music generation and album planning to file preparation, distribution, and monetization setup—so you can follow along from the very beginning. This course does not guarantee profits; rather, it is designed to help you experience the entire process of releasing AI music and preparing for monetization from start to finish.

In an era where flexible data processing beyond the limits of SQL is required, learn everything about MongoDB. From NoSQL concepts to installation, CRUD practice, aggregation pipelines, text search, and indexing, you will learn step-by-step and complete your practical skills through Python crawling integration and container environment construction.

You will learn Apache Airflow, the most widely used Orchestrator for creating software data pipelines.

A comprehensive AI video production course that even those without a related background can easily follow. You will build your creative production skills by practicing the entire process—from image generation and video creation to editing—using both free and paid AI tools. Experience every stage of AI-powered content creation through hands-on projects.

This course is part of the 'Wrtn AI Literacy Voucher Program', a collaboration between Inflearn and Wrtn, and is available completely free for seniors (60+) who are vulnerable to AI adoption. *Priority for people with disabilities Are you curious about AI but unsure how to get started? This course is an introductory program designed to help seniors start learning AI comfortably and enjoyably. Join instructor Choi Jin-young to create text, images, and even videos using AI tools like Wrtn!

Through this course, you will be able to immediately carry out corporate Apache Spark projects.

See exam types and trends at a glance! Strengthen your practical skills with approximately 100 questions. The perfect preparation for the AWS AI Practitioner exam, allowing for systematic study even when preparing on your own.

Build your own powerful stock analysis model that uses AI to analyze over 40 types of economic indicators and stock price data to predict not only the S&P 500 and QQQ ETF, but also individual stocks!

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

This course is for those who have ideas but don’t know development or design and feel overwhelmed about where to begin. I wasn’t good at development from the start either. By repeatedly using AI for real work and personal projects, I’ve built things one by one—from “I’ll Take Care of It,” a service that solves everyday problems, and ENGIN, an English-learning app, to AI mini-games and a video production automation system. In this course, I won’t just show you the finished results. Through real screens and production records, I’ll show you how to break an idea down into a size AI can understand, how to decide on the first feature, how to request tasks from AI, and how to personally check and revise what has been created. You don’t need to understand all the code before getting started. You can begin by summarizing the problem you want to solve in one sentence and entrusting AI with one small result. Turn the ideas that have existed only in your head into a visible screen and a working first version you can experience for yourself.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

Delegate the pressure of overflowing financial data and reports to an AI agent. From corporate analysis to report automation, an overwhelming workflow for financial experts that changes the game of practical business!

We introduce methods for planners and marketers without data analysis experience or technical skills to try data analysis at the most basic level, complete with various examples. Built on years of hands-on practice with over 2,000 participants in more than 100 companies and public institutions, the content is designed around the most practical analysis methods for data non-experts.

Even when using AI, the reason you’re still busy lies not in the tools, but in how the work is arranged. By asking four questions—roles, flow, handoffs, and exceptions—you can turn your work into a single blueprint, separate what can be handled by rules from what requires judgment, and reduce how often you need to call on AI in the first place. Use an Excel file containing 1,000 transactions to lock the standards into the tool and generate reports, break tasks down with sub-agents, and hand off what can’t be done to another AI, receiving only the results and carrying on. Finally, connect a messenger as the entry point and add four safety measures, completing the conductor’s role of calling on AI only where needed rather than handing everything over across eight installments, including the OT.

From the basics of machine learning & deep learning! Creating and utilizing classification/regression/clustering/artificial neural networks with Python

If you want to be recognized as a machine learning expert in large-scale data environments—from understanding the core framework of Spark Machine Learning to SQL-based data processing through high-difficulty practical problems, and the ability to implement optimized machine learning models through business domain analysis—join this course.

Mastering difficult AI with just one single analogy?! A first step into AI principles, understanding through core concepts rather than just terminology.

Become a pioneer in the latest large language model (LLM) technology through Langchain online lectures! This course provides practical skills and innovative knowledge that will upgrade your career. #LangChain #LangGraph #LangSmith #MCP