Learning AI Ethics for the Workplace Through Stories — Before Something Goes Wrong Using AI

HIPS : Human Intelligence Problem Solving, Although AI seems to replace everything, the ability to reframe complex problems and gain insight is uniquely human. We present methods for proactively utilizing AI and exercising uniquely human problem-solving capabilities.

From search to insights, complete your AI research workflow with Perplexity! A practical generative AI curriculum that masters the flow of information discovery.

This course covers how working professionals can use Google Gemini for team collaboration. You’ll learn the basics of using Google Docs and how to improve work efficiency through hands-on collaboration exercises with Gemini.

AI literacy refers to the "ability for general users, not just technicians, to effectively utilize AI in their practical work and daily lives," as well as the "competency to critically evaluate AI." This is a practice-oriented literacy course designed for non-experts to understand the core knowledge for "utilizing" AI well—covering everything from prompt engineering to security understanding, expansion, automation, and the structure of language models.

: "From Mathematical Foundations to the Latest Models, Completing the Deep Learning Pipeline with PyTorch (44 Lectures in Total)" The era of simply learning how to call model.fit() is over. From the very basics of artificial neural networks—differentiation and gradient descent—to essential PyTorch techniques used in the industry, and CNN/RNN for handling image and time-series data! We will help you systematically master the entire process of deep learning. Go beyond analyzed data and step into the amazing world of deep learning, where artificial intelligence mimicking the human brain learns and makes decisions on its own.

This is a course on creating blog images using DALL-E 3. This course provides practical knowledge and hands-on opportunities from the basics of image generation technology to advanced usage techniques and problem-solving strategies.

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.

"AI will not replace people. People who master AI will replace those who rely on it." In the era of AI, where creating results has become easier than ever, human thinking and problem-solving skills are becoming even more critical. Jae-sung Kim, a former McKinsey consultant, will guide you step-by-step through advanced problem-solving skills using AI, powerful research strategies, and persuasion techniques to turn your results into reality.

This lecture teaches how to generate images using DALL-E3 (DALL-E). Through basic functions, a 3-step prompt strategy, and hands-on image generation practice, participants can become creative image creators.

AI, the Key to Opening the World of Statistics "AI, by enabling easy mastery of complex statistical principles and analysis techniques, uncovers hidden meanings in data and provides insights for better decision-making. AI is now beyond a complex statistical calculator; it is a companion supporting statistical thinking."

This course covers generative AI concepts, key tools, and practical PPT creation skills using generative AI. Using diverse generative AI tools, you'll understand efficient work methods and their limits.

It has become easier to write code with AI, but it is still important to understand how the services we build are structured and operate. We need to know the overall flow—how the frontend and server connect, where data is stored, and what to consider as the number of users grows—so we can ask the right questions. I also studied by building up my knowledge one step at a time, starting with the basics. In this course, I first lay out the big picture, then suggest a way to learn by connecting the details to it. “The Age of AI One-Click Coding, a New Direction for Development: The Big Picture of System Design” is the introductory course in the System Design series. Across 74 lessons, we explore a broad range of topics, from the basic structure of services to data, communication, security, deployment, and operations. Familiar examples involving orders and reservations, along with diagrams that build up step by step, help explain why each concept matters. You don’t need to memorize every term or understand how to implement everything from the start. The goal of this course is to help you follow along comfortably, like watching an educational program, and build a big-picture understanding: “So, these are the kinds of problems that come up, and these are some ways to solve them.” Along with the videos, you’ll get an HTML textbook containing detailed explanations, diagrams, and sample code. You can follow the overall flow in the videos and revisit anything you’re curious about in the textbook. Practical implementation and in-depth coverage of specific topics will continue in the follow-up series.

You can automate repetitive and tedious tasks using GPTs. Even non-developers can automate more complex tasks with GPTs by linking various external automation services!

The capabilities of AI can expand infinitely depending on how you write your prompts. The benefits gained from collaborating with AI depend on the clarity of your questions and whether you provide sufficient background information. Now, please make full use of GPTs to perform efficient and purpose-driven tasks.

AI creates the first draft; I make the decisions and refine it. Using Figma’s free plan and free AI tools, I design a set of screens for a laundry pickup app, then create a clickable prototype and a feature specification to hand off to developers.

AI is no longer a choice—it’s a matter of survival. Cut development time from 3 days to 30 minutes, delegate repetitive tasks to AI, and focus on solving more important problems. With AI-native development techniques you can apply immediately in real-world work—not just theory—we’ll show you a surefire way to be recognized at your company as a “developer who excels at AI.”

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.

From a single email to proposals and presentation materials—complete an entire work cycle with Claude Code.

Build your own virtual office where multiple AI employees work across content, data, and finance departments—with self-hosted AI agent Hermes and OpenAI Codex—instead of just one AI assistant delivering your morning briefing. 74 units to complete, with unlimited access!

A Practical AI Automation Series That Plugs Directly into Your Work If you’ve learned about AI but still feel unsure how to apply it to your work, what you need now isn’t an explanation of features—it’s a practical way to use AI that transforms your work right away. The SMART WORK ORDER series is a hands-on AI automation program designed to reduce repetitive tasks across marketing, planning, HR and general affairs, sales, customer support, data analysis, and team leadership and management—and turn them into real-world work outputs. From content drafts, meeting minutes, proposals, consultation scripts, FAQs, VOC reports, and data analysis reports to team prompt libraries. Each course is designed not as a “lecture you watch and understand,” but as a hands-on experience 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 work speed but also team productivity. AI-driven work transformation that reduces repetitive tasks while raising the quality of your deliverables. SMART WORK ORDER is a job-specific, practical AI program that changes the way you work—making it faster, more accurate, and smarter.