Practical AI Report for Distribution: From Sales and Profit Analysis to a One-Page Report

This is a practical course that uses Codex to connect business planning, website creation, marketing materials, task organization, and email automation. Even if you are not a developer, you will learn how to delegate tasks to AI and refine the results using Notion, Linear, Figma, and Google Workspace in an actual workflow sequence.

Generative AI is rewriting how the world works — and the people who learn it now will lead the next decade. Every industry is being reshaped in real time. Marketers are creating campaigns in minutes. Developers are shipping code faster than ever. Entire teams are automating work that used to take days. And at the center of it all sits one skill that separates those who get left behind from those who get ahead: knowing how to actually use Generative AI. The problem? Most people are still only scratching the surface. They've typed a question into ChatGPT, gotten an average answer, and assumed that's all there is. But beneath that simple chat box is one of the most powerful technologies ever built — and once you understand how it works and how to direct it, you'll never work the same way again. That's exactly what this course is built to do. Introduction to Generative AI takes you from complete beginner to confident, capable AI user — no coding, no maths, and no prior experience required. In clear, jargon-free language, you'll discover what Generative AI really is, how it works under the hood, and how to put it to work in your job, your business, and your everyday life. This isn't a dry, theoretical lecture series. It's a practical, demo-driven journey packed with real examples you can follow and copy immediately. You'll start with the foundations — what Artificial Intelligence, Machine Learning, and Deep Learning actually mean, and how Generative AI fits into the bigger picture. You'll explore ChatGPT's features and capabilities hands-on, understand why this technology has exploded so quickly, and trace its remarkable evolution. From there, you'll demystify the engine that powers it all: Large Language Models. You'll see exactly how next-word prediction, embeddings, and fine-tuning work, and you'll understand game-changing concepts like Retrieval Augmented Generation (RAG) and the rise of Agentic AI — the difference between an assistant that answers and one that acts. Then comes the real superpower: prompt engineering. This is where most learners go from "AI is interesting" to "AI is indispensable." You won't just learn what prompting is — you'll master more than a dozen proven techniques used by professionals every day, including chain-of-thought prompting, zero/one/few-shot prompting, tabular prompting, perspective prompting, comparative prompting, reverse prompting, the RGC framework, and many more. You'll get ready-to-use prompt starters, learn how to revise and sharpen your prompts for dramatically better results, and discover how to generate fresh ideas, marketing copy, client emails, and content at scale. By the end, you'll know how to make AI do precisely what you want — consistently. You'll see it all in action. This course is loaded with practical demonstrations across real business scenarios. Watch AI summarise meetings and capture insights with an AI notetaker, draft polished email responses in seconds, and spin up multiple marketing headline variations from a single product image. You'll explore how Generative AI is transforming software development, retail, and marketing, and you'll see real tools at work — generating working code with GitHub Copilot and creating images and video with cutting-edge tools like Amazon Nova. These aren't hypotheticals. They're workflows you can start using the moment you finish the lesson. But great power demands responsibility — and this course doesn't skip the hard parts. You'll dive into Responsible AI and learn how to spot and manage hallucinations, factual inaccuracies, bias, and fairness issues. You'll understand the genuine technical limitations of today's models and the practical workarounds that experienced users rely on. Through real examples — including safety refusals and bias-correction rewrites — you'll learn to use these tools wisely, ethically, and with confidence, the way professionals and organisations are expected to. And you'll finish looking forward, not just at today. You'll discover how Generative AI is disrupting search and reshaping the way the world finds information, explore the road toward Artificial General Intelligence (AGI), and get a clear-eyed view of the jobs, certifications, and fast-growing career opportunities this field is creating. Whether you want to future-proof your career, boost your productivity, or build something new, you'll leave knowing exactly where this technology is heading and how to ride the wave. Why learn from this course? You'll be joining a community of over 207,000+ students taught across leading platforms, backed by a 4.6 instructor rating and 13,000+ reviews. Every concept is explained simply, every technique is shown in practice, and every lesson is designed to take you one step closer to genuine confidence with AI. No fluff. No overwhelm. Just clear, practical, up-to-date learning that respects your time. This course is for you if you're a beginner curious about AI, a professional who wants to work faster and smarter, a marketer, creator, developer, entrepreneur, or simply someone who refuses to be left behind by the biggest technology shift of our generation. If you can use a web browser, you can do this course — and you can start today. The gap between people who use AI and people who master it is widening every single day. The tools are here. The opportunity is now. The only question is which side of that gap you want to be on. Enrol today and start your journey from AI curious to AI confident — one practical, powerful lesson at a time.

A Practical Series on AI Automation That Directly Transforms Your Work If you’ve learned about AI but are still unsure how to apply it to your work, what you need now is not an explanation of features, but practical ways to use AI that immediately transform the way you work. The SMART WORK ORDER series is a hands-on AI automation program designed to reduce repetitive tasks across marketing, planning, HR and general administration, sales, customer support, data analysis, and team leader and manager responsibilities—and turn that time savings into actual work deliverables. From content drafts, meeting minutes, proposals, and consultation scripts to FAQs, VOC reports, data analysis reports, and team prompt libraries. Each course is designed not as a “lecture to watch and understand,” but as a hands-on process where you follow along and create tangible results. The prompts and templates you learn today can be applied to your work tomorrow, expanding into practical assets that improve not only individual efficiency but also team productivity. An AI-powered transformation of the way you work: reducing repetitive tasks while raising the quality of your deliverables. SMART WORK ORDER is a practical, role-specific AI program that makes the way you work faster, more accurate, and smarter.

This hands-on course teaches you how to use AI to analyze sales and inventory data and create evidence-based ordering plans. You’ll learn how to clearly communicate your objectives, constraints, and desired outputs to AI, then apply those skills to sales analysis, demand forecasting, and multi-item order optimization. Using the provided training data, prompts, and code, you’ll verify calculation results and test the basis for your decisions by changing the conditions. By the end, you’ll complete an ordering plan for 30 products and a one-page decision-making report, which you can use for job preparation and to expand your practical skills.

No Coding Skills Required: Build Your Very First Service with Google Stitch An All-in-One AI Development Workflow That Seamlessly Connects Every Step from Planning to Deployment

Learn how to automate repetitive tasks using ChatGPT, Gemini, and Google Apps Script—even without coding knowledge. From automated email sending to personalized HTML emails, scheduled execution, and integration with Google Forms, Sheets, and Slides, you’ll build automation systems yourself that can be used immediately in real-world work.

Have you introduced AI but still find yourself losing time to repetitive tasks? The problem isn't the AI; it's the 'system.' This course guides you through the process of building a team of six AI assistants—including an executive assistant, content assistant, marketing assistant, CRM assistant, and personal productivity assistant—all using Notion AI. Based on my experience automating hundreds of repetitive tasks in real-world business settings, we will build actual workflows from start to finish, covering everything from organizing notes and automatically generating meeting minutes to blog writing, CRM construction, and automated KakaoTalk notifications. After completing this course, you will have a system where your own AI assistant team works automatically, powered solely by a Notion Business plan.

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.

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!

An introductory AI lecture tailored for those new to artificial intelligence! It easily summarizes core concepts from data to generative AI. The goal is not to build AI, but to achieve a level of practical understanding where you can ask the right questions and explain the technology.

This course is designed to help you achieve overwhelming efficiency in various fields, including planning, development, marketing, and job preparation, by utilizing “Perplexity AI,” an AI answer engine that goes beyond the limitations of traditional search engines.

Even if AI quickly generates an SQL draft, people must judge the table structure, relationships, performance, and data consistency. Using MySQL and DBeaver, you will gain hands-on experience with everything from tables, columns, data types, PKs, and FKs to DDL, database modeling, SQL fundamentals, indexes and EXPLAIN, and transactions, learning the standards for reading and validating AI-generated results.

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!

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!

Microsoft 365 helps you work smarter and focus your remaining time on what truly matters. This is a beginner's course for those who have received their Microsoft 365 ID and password from their company but feel overwhelmed about where and how to start. A journey of a thousand miles begins with a single step!

Based on over 100 deep learning training sessions, this course systematically organizes the core foundational theories that students found most challenging. The course connects mathematical intuition, model learning principles, and code implementation step by step in a way that even non-majors can understand, deeply covering the fundamental structure and operating principles of how AI models learn, rather than just library usage. This is a practical introductory course designed to help you grow into a skilled engineer who understands AI principles by implementing core deep learning foundational technologies such as gradient descent, loss functions, optimization, perceptrons, multilayer neural networks, and backpropagation through both formulas and code.

We help marketing practitioners solve the "having data but being unable to reach a conclusion" problem through a practical routine—spanning problem definition, analysis, interpretation, and one-page reporting—combined with the use of ChatGPT.

Do you want to drive marketing quickly and easily? Do you want to market quickly and cost-effectively, but find collaboration with designers, developers, planners, etc. difficult? Are you in a situation where you need to achieve maximum marketing effect with a limited budget? Now, stop worrying and collaborate with Generative AI.

If you receive stock recommendations from AI and leave the timing of buying and selling to it, will you actually make a profit? AI is not a prophetic tool that predicts future stock prices. Instead, it can be a powerful investment assistant that checks the emotions swaying your investment decisions, analyzes complex information, and helps you stick to long-term investment principles. In this course, you will understand the typical behavioral errors of individual investors—such as loss aversion, panic selling, and FOMO—and learn how to create unwavering investment criteria using AI prompts and investment analysis tools. From back-calculating target assets to portfolio design, utilizing tax-saving accounts, and setting up automated recurring purchases, complete your own AI investment system that even busy office workers can consistently execute. Point 1. Understand the limits of AI investment and use it properly Understand through data why AI is not suitable for stock recommendations and predicting trade timing Utilize AI in areas it excels at, such as earnings call analysis, ETF overlap diagnosis, and portfolio reviews Learn how to review counter-scenarios and risk factors so you don't just believe optimistic answers Point 2. Correct the malfunctions that sway investment psychology Diagnose recurring investment behavior patterns such as loss aversion, the disposition effect, panic selling, and FOMO Practice the 72-hour rule to reduce impulsive trading and routines for formalizing selling conditions Design AI prompts that help maintain long-term investment principles despite market volatility Point 3. Create a long-term investment system that sustains itself automatically Design a recurring investment plan and portfolio based on target assets and investment periods Review investment strategies through Monte Carlo analysis and tax-saving account simulations Complete an investment structure that executes without constant deliberation by setting up automated purchases and cash buffers

Learn the core principles and practical implementation of Classic RAG, Graph RAG, and Agentic RAG. Design a dynamic routing system that optimizes token efficiency and latency, and build a long-term memory system that combines GraphRAG’s relational network reasoning with Agentic RAG’s self-evaluation loop. This course develops advanced RAG architecture design skills that can be applied directly in real-world settings.