Understanding LLM Application User Requirements Gathering and Analysis Methods (for Product Managers)

Explains why LLMs are needed, along with their technical background and basic concepts, for those responsible for LLM planning and LLM application planning.

You can learn the "service design" concepts and methods required when planning applications or web services based on LLM, a type of generative artificial intelligence (Generative AI).

Explore the limitations of LLMs, the latest technologies to overcome them, and projected future technologies.

Learn how to utilize various local LLMs (Qwen, Gemma) and explore different techniques to efficiently evaluate and improve the performance of LLM systems.

This course will teach you the concept of the Google Gemini model and how to use the Gemini API, and create various AI applications using Streamlit.

We will explore the types of applications and web services that can be built using LLMs.

Let's learn how to find and solve problems with Amplitude!!

This is a course to master the fundamental theories of LLM and the core technologies of LangChain and RAG. You can easily learn the latest AI technologies used in practice, starting from LLM basics!

In this lecture, we will look at service planning and design methodologies for planning services in the IT/tech field, as well as various soft skills that service planners must have. Finally, we will analyze the service using the example of an AI voice recognition service, a UX service introductory lecture for beginners.

This introductory course is designed to help even those new to UX/UI design systematically understand the basic design workflow and build the foundational skills required in the field. Even as AI is utilized in the design process, designers must possess fundamental UX design competencies to maintain long-term competitiveness. This course is structured to help you master those basics step-by-step, more thoroughly than any other course.

Have you ever created an IR Deck only to receive feedback that it "lacks persuasion"? In most cases, the problem lies not in the design, but in the structure of the message. Based on real-world experience in IR Deck design, I have outlined the criteria for designing a narrative flow from an investor's perspective. This class is designed to help you grow into a hands-on designer who can architect structure beyond just visuals.

Using AI has become easier, but model cards and papers are still difficult to read, even just a few lines. Although you can look up the meanings of individual words, it’s not clear how those words connect to one another. This course builds up around 160 essential terms that frequently appear in AI documents, in the easiest order to understand them, so that in each lesson you can accurately read a single sentence from an actual document.

In the age of information overload, 'communicating easily' is now the real competitive advantage over 'knowing a lot.' This course goes beyond simply polishing your writing—it develops your 'communication design ability' to identify the core message in a flood of information and deliver it at the right level for your audience. It consists of a compact curriculum of 7 lessons totaling 56 minutes. Say goodbye to boring lectures filled with theory! Through training centered on real-world examples (Before/After), you'll transform into an 'information delivery expert' who communicates best within your organization.

This is practical training designed to systematically learn problem-solving skills essential for office workers in a rapidly changing business environment, from the basics to real-world application. It covers understanding the era of deepening uncertainty and complexity such as VUCA and BANI, and addresses the entire process through real cases and hands-on practice: problem definition and root cause analysis, stakeholder identification, creative idea generation, solution prioritization, implementation monitoring, execution result analysis, and follow-up management.

"Your first step to creating a customized LLM with LoRA-based lightweight fine-tuning!" This is an introductory hands-on course designed so that even those new to LLMs can easily follow along. We minimize complex theory and guide you step-by-step through the entire process: loading the model → applying data → training → comparing results. In a short time, you'll directly experience the workflow of cutting-edge lightweight fine-tuning techniques like LoRA and QLoRA, and gain an intuitive understanding of "how LLM fine-tuning works." Even without extensive resources, experience the satisfaction of creating an LLM specialized for your domain!

Based on an accurate understanding of black consumers, appropriate countermeasures and strategies are acquired, enabling effective response to black consumers. Furthermore, it is designed to enhance the professionalism of service staff and improve job satisfaction.

Now, with the power of AI, anyone can easily plan apps and design UIs! It's okay even if you don't know coding or have no UI experience. AI tools like Claude and ChatGPT will turn your ideas into reality. With just a few questions, you can analyze target customers, design app structures, and even automatically generate UI screens. In this lecture, we will teach you step-by-step from the basics so that even those who are new to Figma can follow along. Even without drawing by hand, you can import existing website UIs at once with the HTML to Design plugin, and with AI tools like Google Stitch or readdy.ai, you can create high-quality screens in a few seconds. This lecture is perfect for anyone dreaming of starting a business, wanting to switch careers to a planner, or wishing to communicate with developers. Instead of complex theories, we will only teach practical know-how that you can immediately use. Now, with just an idea, anyone can plan app services!

[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

"Beyond Data Analysis: Mastering Predictive Modeling with 5 Real-World Projects (45 Lectures Total)" Have you finished learning data analysis but feel stuck when it's time to actually build a model? Beyond simply learning how to call libraries, this course will help you fully master the inner workings of algorithms and optimal model validation strategies—ranging from Titanic survival prediction to spam text classification. Systematically conquer projects that wield the most power in the industry, from linear models to the latest ensemble algorithms and the basics of Natural Language Processing (NLP). Step into the world of AI modeling and start predicting the future based on analyzed data.

If you know that UT (usability testing) and user interviews are good, but don't know how to do them, gain confidence with this course!