Let's Efficiently Manipulate AI! ChatGPT Prompt Engineering Part. 2

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This course is a **practical-focused lecture** that covers how to apply **conversational AI (ChatGPT, etc.)** to actual company work. Beyond simple AI usage methods, it is structured to enable learning of specific cases such as work automation, document creation, idea generation, and data analysis assistance that can be utilized in various departments and job environments. Through this course, learners will master methods to streamline repetitive and time-consuming tasks with AI, and experience smart workflows that collaborate with AI. Additionally, by understanding AI's strengths and limitations, it helps make correct decisions in actual business situations. Upon completing this course, you will be able to utilize conversational AI including ChatGPT as a tool to enhance work productivity, which will serve as an important foundation for securing competitiveness in future work environments.

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Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

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Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

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It covers a wide range of topics, from prompt engineering theory and practical techniques to the latest application cases and security/ethical issues, providing practical assistance to LLM-based service developers, data scientists, and AI planners alike.

This course is designed for those who want to go beyond simple AI chatting and actually get work done using AI agents. Many students are already using ChatGPT or Claude, yet they still struggle with repetitive tasks, scattered workflows, excessive research, and low productivity. The problem usually doesn't lie with the AI itself, but in knowing how to organize work systematically, give clear instructions, and build reliable workflows. In this course, we provide a step-by-step guide on the practical application of Claude Cowork. Rather than focusing solely on theory, we practice through practical examples such as project management, browser automation, meeting preparation, persistent memory systems, skills, plugins, and desktop control. This course explains everything in a simple and practical way so that even beginners can easily follow along. By the end of the course, students will understand how to utilize Claude Cowork as a true productivity assistant for research, planning, organization, automation, and daily tasks.

We introduce basic prompt patterns for coding and advanced API prompt patterns for leveraging artificial intelligence.

[Problems This Course Solves] - The limitations of planners who have ideas but cannot build them directly - Inefficient decision-making based on imagination: "Please make it like this" - Bottlenecks caused by requesting and waiting for the development team for every data analysis or API verification - The reality of using AI tools but remaining at the level of simple ChatGPT Q&A [What You Will Learn] 1. Redesigning the Planning Process in the AI Era - Traditional: Planning → Design → Development (Sequential waiting) - Shift: Writing PRD → Generating Prototype → Decision-making based on the actual product → Delivery after confirmation - Moving from planning explained through documents to planning demonstrated through actual products 2. Designing AI Agents for PMs - Harness Engineering: Designing a working structure rather than just asking AI questions - CLAUDE.md, Rules, Hooks, MCP, Plugins — The roles and design principles of each layer - Agent Router: A structure where a single request is automatically assigned to the optimal agent - PGE Pipeline: Planner → Generator → Evaluator, quality control design for large-scale tasks 3. Building Your Own AI Team - Planning/Research, Product, Design, Development, Marketing — 20+ agents across 5 columns - Actual workflows where a solo planner manages a team of experts - Connecting external tools via MCP (Notion, Figma, Slack, data sources) - Automating repetitive tasks with one-command "Skills" 4. Practical Automation of Supplementary Tasks - GA4 + Clarity + GSC + BigQuery → Integrated dashboard + automatic weekly insight generation - Direct calling of in-house APIs → Scenario verification → Quality evaluation reports - BigQuery cohort analysis → Aha Moment hypothesis verification - A/B testing, Notion synchronization, UI/UX audit automation --- Who should take this course: - PM/PO/Service Planners tired of waiting times and review cycles in the planning process - Those who want to properly design AI as a professional work tool - Those who want to make data-driven decisions themselves but lack analysis team resources - Non-developers who want to move past their fear of the "terminal" [Prerequisites] - None. We guide you through everything from installation to setup. - No coding experience required. We focus on design and application from a PM's perspective. [Changes After Taking the Course] - Increase decision-making speed by creating working prototypes directly from a single PRD.md - Design and operate your own team of AI agents - Directly automate data analysis, API verification, and report generation

Learn how to reduce marketing risks through AI and efficiently execute the entire process, from branding and personalized marketing to content creation. From the basics of prompt engineering to practical application, we present essential AI utilization methods for marketing professionals.

This VOD is designed for current consultants to master, within 2 hours, the entire process of fully utilizing ChatGPT—from “Basic Analysis” → “Idea Generation” → “Report Writing”. From travel itineraries to future business scenarios... This is a practical course that starts with interesting examples and concludes with immediately applicable prompt templates, instilling the conviction not just 'I want to watch it' but 'I must use it'.

# AI Side Hustle King: Aiming for 1 Million Won per Month with 2 Hours a Day I'll reveal every detail of my know-how—raising two kids while generating 15 million won in pure profit / 60 million won in sales per month, working just 2 hours a day. I'm confident I'm the best at utilizing AI in online sales. Smart Store / Coupang / Branding - An all-in-one package covering sourcing / marketing / detail pages / sales This isn't about randomly churning out products based on luck. It's designed to read the market → create a structure that sells → systematically drive exposure and conversion. I've included only what's essential, in the right order, to minimize wasted effort while using minimal time. ## What This Course Does for You - Helps you select "products that sell" when you're unsure what to sell - Teaches you how to read keywords and intent to reach profitable customers first - Shows you strategies to avoid competition by changing "category names" for the same products - Sets up a roadmap for the structure and timing that generates exposure on Coupang and Naver - Boosts conversion rates with detail pages and connects reviews/blogs/ads - Reduces image/content creation time with AI, making 2-hour daily operations possible ## Core Flow Included in the Curriculum **1) Planning Products That Sell** - Selling customer "problems," not products - Extracting ideas from customers' inconvenient habits - Reading market depth through search patterns - Practice: Identify 3 problems your product solves **2) Practical Keyword Research** - Reading "intent" is more important than search volume - Capturing key points in the search → comparison → purchase flow - Differences between Coupang vs Naver keyword research - Practice: Finding keywords for your product **3) Categorization to Avoid Competition** - The principle that the same product enters a different market with a different name - Creating a competition-free position by inventing new category names - Success case analysis + niche exposure structure - Practice: Planning a new category name for your product **4) Platform Strategy (Coupang·Naver)** - Making top exposure through "structure," not "effort" - Understanding Coupang/Naver exposure logic - New category entry timing, reading traffic data - Practice: Creating a platform entry roadmap **5) Detail Pages That Create Conversions** - Customers buy emotions and confidence, not products - Designing storylines with emotion → awareness → persuasion flow - Practice: Rebuilding emotional points in your detail page - Actual production including redesign with ChatGPT/editor **6) AI Image·Content Creation Practice** - Quickly generating needed images with prompt design methods - Utilizing Freepik + visual content creation - Practice: Detail page creation and feedback **7) From Zero-Cost Marketing to Paid Advertising** - Zero-cost marketing: Building trust with review-type/experience-type content - Blogs: Combining exposure-focused writing with conversion-oriented structure - Paid ads: Dissecting Naver/Coupang ad structure, ROAS-based operations - Avoiding auto-bidding traps, designing thumbnails/keywords centered on CTR - Practice: Designing ad promotions for your product ## Why It's Efficient This course doesn't just tell you "what to do"— it connects 'product-keyword-category-platform-detail page-marketing-advertising' in a single line, in the order that actually makes money. 2-3 million won courses? There are many good courses. But I'm confident there's no course with this level of quality at this price! The most fatal thing about a 2-hour-a-day side hustle is working hard in the wrong direction. This course is designed to save that time by making you move based on market and customer intent from the start, and structured so that once you build the system, it continues to generate sales.

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This is a practical introductory course designed to help general office workers utilize generative AI as a business partner rather than just a simple tool. The objective is to develop the ability to use AI safely while complying with security and copyright standards, based on an accurate understanding of its operating principles and limitations. From the core principles of prompt engineering to streamlining text-based tasks such as planning, reporting, emailing, and minutes-taking, as well as Excel data analysis and the use of images and PDF documents, students will learn step-by-step. This helps drastically reduce time spent on repetitive tasks and secures the practical capability to handle multiple roles. Beyond individual use, the course covers how to build team-level work templates and standards. It is an action-oriented curriculum designed to ensure that participants possess work automation assets that can be applied immediately to their jobs after completion, leading to productivity improvements across the entire organization.

This is a lecture directly from the author of <Prompt Engineering>. Learn to use ChatGPT, Bing, Bard, HyperCLOVA X, and more with ease.

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I will tell you how to survive and thrive in the AI era, and even make money to get rich, by leveraging hyperscale AI like ChatGPT.

In the era of AI, developers must become "integrators" rather than mere coders. This course covers how to combine Unreal Engine with the latest AI tools like ChatGPT and Claude into the actual C++ development process. Through practical examples designed by Unreal Authorized Instructor YAL, you can build a development environment where AI generates, analyzes, and assists with code, completing a next-generation C++ workflow that integrates AI and Unreal.