Atlassian Jira Basics

Can document management be agile? Learn the basics of Atlassian Confluence, which is popular these days.

We are releasing this Jira Cloud Runbook series to share with you the consulting/education/construction experience of Too Seed, a DevOps specialist and Atlassian partner. We ask for your continued support of Too Seed’s Runbook series.

Evolve Obsidian beyond a simple notepad into a personal knowledge database, and build an AI assistant that understands your notes and documents using Claude Code. Create your own workflows to automate repetitive tasks, completing a knowledge system where your daily work and learning compound over time and transform into your own unique expertise.

[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

This course is intended for developers who use Claude Code but only at a basic level, roughly equivalent to chatting with a chatbot. It focuses on explaining the key principles and conceptual understanding needed to use Claude Code effectively.

This is a basic course for those who are new to product CE certification.

To help those who want to do well in the new year of 2025, we have updated it to the latest version. Learn how to create and manage projects, teams, and your own tasks using MS Planner and become a "professional worker🤩".

Learn the core features of Google Workspace Gemini that you can use immediately in your work—not AI coding or agent development—in just 3 hours. Without complicated hands-on exercises, you’ll gain a broad but shallow understanding of AI-powered workflow automation and productivity improvement through easy, image-based explanations.

With the advancement of technology since the Fourth Industrial Revolution, industry boundaries are collapsing and digitalization is accelerating, opening the era of business process automation through RPA software robots. Through UiPath, I hope you can automate repetitive, simple, and complex tasks with one robot per person, allowing individuals to spend their time on higher-value work. Increase the efficiency of digital labor through RPA and implement automation that is free from the constraints of working hours!

Reorganizing the order of work to increase work efficiency in limited working hours In an era where productivity must be increased to match the reduced working hours, we will help you improve individual work capabilities and overall organizational performance by reorganizing the order of work.

Learn how to use chatGPT in practice to dramatically increase your work productivity, and apply it directly to your work, from document writing to data analysis!

The power to design Agile processes beyond mere tool functionality: Everything about practical collaboration completed with JIRA and Confluence. STEP 1. Laying the Agile Foundation (Lessons 1–2): Understand the Agile spirit through its differences from the Waterfall model, and build a Scrum space and integrated environment tailored to your team. STEP 2. Practical Project Management (Lessons 3–7): Manage the entire project lifecycle with Jira and Confluence, from writing User Story-based PRDs to roadmap visualization, sprint planning, and Kanban board operation. STEP 3. Data-Driven Performance Optimization (Lessons 8–10): Create a sustainable team growth system through retrospective action items, whiteboard collaboration, and the utilization of JQL and dashboards. ✅ Focused on 'Problem Solving,' not just a manual This isn't just about "click this button." You will learn the principles of how to use tools to resolve real-world bottlenecks such as change costs, dependency management, and WIP limits. ✅ Organic integration of Jira and Confluence Don't use the two tools in isolation. Complete a seamless workflow by issuing Jira tickets directly from Confluence PRDs and visualizing Jira reports within Confluence. ✅ Designing a team culture that turns 'records' into 'assets' Go beyond simple ticket issuance. Learn how to instill a mature engineering culture that turns team knowledge into assets and reduces communication costs through retrospectives and templating.

This introductory course is designed to help even those new to Git safely record file changes and understand collaboration workflows through GitHub. Rather than simply memorizing commands, the focus is on developing the intuition to read the current state using status, diff, and log, and to choose the appropriate action among add, commit, restore, reset, and revert based on the situation. The course begins by explaining why Git is necessary and the difference between simple file saving and version control. Afterward, you will practice creating a repository, committing a README.txt file, and observing how Git tracks changes. You will also learn the basics of backing up and sharing personal projects online by creating GitHub remote repositories and mastering the push and clone workflow. The intermediate section covers branches, merge, conflict, pull/push, PR, rebase, and stash. You will learn how to divide work into branches, merge changes, and read and resolve files when conflicts occur. Additionally, you will build the ability to handle common Git complications in professional settings by understanding PR-centered collaboration workflows and the differences between reset and revert. The final section covers GitHub Flow and operational branching strategies. It explains the process where feature branches are merged into the development branch and promoted to the production environment through QA, centered on the dev → stg → prd workflow. By covering hotfixes, release branches, tags, partial deployments, emergency fixes, and rollback decisions, this course is structured to help you understand how Git is operated in actual team development.

This is a practical training program designed to help professionals master core self-management principles and actionable strategies step-by-step, enabling them to pursue both efficiency and growth in work and life. Participants will systematically learn self-management know-how that can be immediately applied to the workplace, covering everything from goal setting, time and schedule management, and prioritization to enhancing focus, planning, overcoming procrastination, stress and mental care, and establishing self-development routines.

[Process Optimization Roadmap: Eliminating Unnecessary Capital Investment and Converting 'Hidden Factory' Opportunity Costs into Tangible Profits] 1. Introduction: Transition to Intelligent Processes and the Prerequisite of Standard Operating Procedures For modern enterprises to maximize business value by adopting Artificial Intelligence (AI) technology, the rigorous standardization of physical processes and work procedures on the shop floor must come first. An intelligent system built upon an unstructured data environment lacking standardization will struggle to achieve optimal performance; instead, it is highly likely to amplify process uncertainty and act as a risk to the entire system. This training course aims to present a strategic methodology for discovering latent profit sources within the so-called 'Hidden Factory' and converting them into an engineering foundation that AI can autonomously control and optimize. 2. [Analysis] Quantitative Data-Based Field Diagnosis and Analysis of 'Baseline Losses in Critical Indicators' Many manufacturing sites tend to overlook potential operational losses by settling for superficial performance indicators. When Overall Equipment Effectiveness (OEE) is precisely analyzed through engineering decomposition techniques, the following structural losses are identified: Availability 90%: While external uptime is secured, power loss due to minor stoppages occurs continuously. Performance 90%: A slowdown in actual speed compared to theoretical cycle time has become chronic, yet there is no reference point to recognize and improve this. Quality 90%: A defect rate reaching 10% is evaluated as a critical figure that undermines the reliability of the entire process. The actual OEE, calculated by the multiplier effect of these three indicators, is only 72.9%, meaning the remaining 27.1% of opportunity cost is buried within the 'Hidden Factory'—unidentified by data. Therefore, the primary task of AI adoption is to quantify the source of this waste and ensure process transparency. 3. [Critique] Redefining Strategic Priorities: The Conflict Between Operational Excellence (OPEX) and Capital Expenditure (CAPEX) Prioritizing the expansion of new facilities (CAPEX) as a solution to declining productivity can be a strategically dangerous decision. Adding lines to a low-efficiency structure where OEE remains at the 60–70% level results in replicating fundamental inefficiencies, leading to an exponential increase in management costs. Before large-scale capital injection, maximizing Operational Excellence (OPEX) to break through the physical limits of existing assets must take precedence. Only when standard operating procedures capable of achieving the world-class standard of 85% OEE are established can a virtuous cycle be built—one that dramatically improves production capacity through integration with AI without additional investment. 4. [Evaluation] Integration of Data Architecture: Establishing an ISA-95 Based Decision-Making System The disconnection between the financial indicators of Enterprise Resource Planning (ERP) and the operational data of the Manufacturing Execution System (MES) is a core cause of information distortion and delayed decision-making. To resolve this, the international standard ISA-95 architecture is applied to organically integrate management strategy with the physical production site. Establishment of a Single Source of Truth: Complete a data pipeline where all dynamic field data is synchronized in real-time with the enterprise management system. Conversion of Indicators into Financial Value: By intuitively linking the impact of minor field stoppages to actual operating profit and cash flow on financial statements, an objective, data-driven performance evaluation and decision-making system is established. 5. [Execution] 4-Step Strategic Roadmap for Intelligent Process Management Implement an advanced strategy that fuses AI technology with human engineering insight based on strictly standardized procedures. Predictive Maintenance and Utilization of P-F Intervals: Build a predictive maintenance system by monitoring the P-F Interval—the period from a potential failure (a precursor to equipment breakdown) to a functional failure—in real-time. Digital Twin-Based Simulation and Minimization of Trial and Error: Practice a 'Zero-Trial' strategy that prevents physical losses by verifying various scenarios within a virtual environment before implementing process changes. Quantitative Control of the 6 Big Losses: Continuously track and manage the six core waste factors that hinder profitability—equipment failure, setup/adjustments, idling/minor stops, reduced speed, process defects, and reduced yield/rework—through AI. Digital Advancement of Total Productive Maintenance (TPM): Enhance the reliability of Human-in-the-Loop systems by establishing a proactive culture where field operators voluntarily detect and respond to signs of equipment abnormality. 6. Conclusion: Securing Technological Leadership Through Standardized System Architecture Technical knowledge can be transferred through education, but the insight to dominate process flow only manifests upon a sophisticatedly designed standard system. This masterclass aims to provide a precise engineering blueprint for transforming your production site into an intelligent asset. Establishing standardized work procedures and ensuring data integrity are essential prerequisites for the AI era. Only on a firm systemic foundation will AI function as a true intelligent production site that drives corporate growth.

A course to effectively master the core features of monday.com in a short period, enabling anyone to automate and manage work easily and freely! Learn how to work smarter by using monday.com to effectively handle work instructions, schedule management, task status, and reporting anytime, anywhere, while also tracking performance in real-time.

It's okay if AI feels unfamiliar and difficult to you. In just one week, I will share the entire "trial and error" journey of building everything from a membership landing page to automation and data analysis from scratch using Claude Code. Even if you don't know how to code or are a complete AI beginner, I'll show you through real-world examples so you can take on the challenge yourself.

Copilot Chat will become more than just a simple AI assistant - it will be your reliable work secretary that maximizes your productivity and creativity. In this course, learn Copilot Chat's core features and usage methods, practical cases that can be applied immediately to real work, and customized tips tailored to each task, and start experiencing how your way of working changes with Copilot Chat!

Understand the characteristics of documents (planning papers, proposals, reports, etc.) and learn the processes for logical content development along with techniques to enrich the content.

You use Git every day, but are there still times when it scares you? When a `git push` is rejected, when a colleague says, "Please rebase and upload," or when that "detached HEAD state" message pops up. You’ve probably had at least one moment where your mind went blank, and you ended up deleting the entire folder just to clone it again. This course is for people like you. Julia Evans' 〈How Git Works〉, beloved by developers worldwide, is finally available in Korean. This isn't a course about memorizing commands. It’s a course where we take a slow, deep look at how Git actually works under the hood. What’s inside the `.git` folder, How branches are actually stored, Where "orphaned" commits go and how to recover them, And what "up to date with origin/main" actually means. It consists of 27 pages across 6 chapters: ★ Commits ★ Branches ★ Exploring the .git folder ★ Merging ★ Remote repositories ★ Surviving disasters Once you properly grasp the internal model, you'll be able to interpret any message Git throws at you on your own. Instead of memorizing commands, you'll start using it while understanding "why it works this way." I’ll share the promise Julia made on the first page of her zine: "Once you understand the internals, you can get yourself out of any Git mess."