[Vibe Coding + AI Practical Data Analysis] 5.0 Perfect Score Course That London MBA Students Raved About: Complete Data Analysis Practical Skills and Job Preparation That Liberal Arts Non-Majors Can Use Right Away in the Field!

This course is a practice-oriented program that goes beyond simple chatbots to build multi-agent systems where multiple agents collaborate. 👉 You will learn three frameworks—Swarm, LangGraph, and DeepAgents—step-by-step, completing six practical projects including a customer support chatbot, blog content creation, a PostgreSQL query agent, and an autonomous research agent. 👉 By implementing enterprise-grade features such as long-term memory using Redis and PostgreSQL, Human-in-the-loop security mechanisms, and cost monitoring, you will be able to build production-level systems that can be applied to real-world services immediately after the course.

By simply entering a US company ticker, this system automatically collects financial accounting data, competitor analysis, recent news, and stock price information to generate professional investment reports through in-depth analysis using the OpenAI GPT API. The final results are automatically uploaded to Notion. By learning the basic concepts and terminology of financial accounting, even engineers can utilize this for competitor benchmarking, persuading supervisors, and planning new solutions. You will build a high-performance API server using Python and FastAPI, learning asynchronous programming, AI integration, and practical fintech skills. We support beginners so they can easily follow along, complete a system applicable to real-world investment and business, and grow into developers tailored for the AI era.

From work productivity to monetization, we'll teach you everything about AI agent development that you can apply directly to real-world tasks. Become an "AI Agent Development Expert" by directly developing 7 agents based on technologies including n8n, CrewAI, LangGraph, Google ADK, multi-agent orchestration, RAG, multimodal, MCP, A2A, and more.

We are back with significantly upgraded content and a completely transformed lecture!

The topic is no-code data analysis utilizing generative AI tools. We perform all stages of data analysis, including data collection, analysis, visualization, and report writing, using AI tools such as ChatGPT, Gemini, Claude, Perplexity, and Julius.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

This course not only expands your ideas on blog management by creating a Python-based automated posting program for CPA affiliate marketing on WordPress but also allows you to perfectly master practical Python through real-world application rather than just theory.

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

A lecture on practical blog operation using AI tools, condensed from 20 months of experience! It offers step-by-step utilization methods from topic selection to content creation with Perplexity, ChatGPT, and Midjourney.

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

No coding knowledge needed! This lecture shows how anyone can easily create a website using AI tools 'Cursor' and 'Vibecoding'. Follow 2 practical examples to build a real-world website with just clicks, and even learn to deploy it.

"The Era of Coding with AI: A New Productivity Paradigm for Java Developers" This course is a practical Cursor AI utilization guide for Java developers. Beyond simply copying AI-generated code, you'll learn Vibe Coding methods that maximize development efficiency through collaboration with AI. By leveraging Cursor's powerful code understanding, refactoring, and documentation features, you'll master AI coding workflows step by step that can be immediately applied to real-world projects. In an era where AI writes code for us, "developers who can effectively work with AI" now have the competitive edge. Start your upgraded development experience as a Java developer with this course.

The first publicly released ChatGPT open source GPT-OSS - Get a taste of it faster than anyone else. Learn what GPT-OSS is and run it locally to create an overwhelming advantage with GPT-OSS faster than anyone else!

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

With v0, cursor AI, and various LLMs, from PRD to AI product recommendations! Complete your Next.js shopping mall through a practical project.

<200% ChatGPT Questioning Methods> is a practical content focused on 'How to ask ChatGPT questions to get the desired answers?' In this course, we primarily use the free version of ChatGPT. Depending on the content, we also practice with some paid versions to provide exercises suited to the learner's usage environment. Through this course, learners will learn how to ask effective questions to ChatGPT and, by actively using various extensions, can boost their work applicability.

This course conducts hands-on practice related to Diffusion models among generative artificial intelligence models. By reading and implementing the prompt-to-prompt paper, which is a representative Diffusion model application paper, we expect to cultivate the ability to understand the latest artificial intelligence papers.

This course is a practical training program that utilizes various generative AI tools such as Napkin AI, Gamma AI, Felo AI, Imagen 3, and Suno AI based on ChatGPT to automatically generate and utilize content needed in real office environments. It focuses on multimodal content creation capabilities including report summarization, presentation composition, image generation, and music production, and includes hands-on practice of application cases for each task that leverage the characteristics of each tool.

After using it for 14 days starting immediately upon release, here are the reasons why I recommend Claude Code (AI Coding) to everyone—from job seekers to industry professionals—as something they can apply right away.

This course aims to cover the latest Gemini API SDK (@google/genai) in a Node.js and TypeScript environment. You will learn how to use multimodal technology to process text, images, and video simultaneously. We will practice the entire process, from issuing an API key to project setup and model calling.