[AI Job Convergence] Designing and Validating Business Strategies Using Generative AI, A to Z

From the solid foundational theories of contract law to practical drafting guides and advanced review techniques using generative AI, this course covers it all in one place. Beyond simply learning how to use AI, it helps you become a 'smart contract expert' capable of independently identifying and managing legal risks.

By leveraging generative AI, you will learn the entire strategic planning process—from market analysis and insight generation to hypothesis validation and strategic report writing—and develop the ability to create comprehensive strategic reports without the help of a consultant.

We provide a comprehensive guide to understanding information security and privacy issues that may arise when using generative AI, and to establishing a secure AI usage framework based on the AI Basic Act and the latest security strategies.

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.”

Criteria for organizing complex data at a glance: Cognitive-based practical visualization designed with Excel and AI.

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."

By combining the essence of solid report logic with the unparalleled efficiency of generative AI, we guide you on the fastest path to becoming a true report expert—one who leaves work earlier and increases the chances of approval.

Reading the Standard of Digital Money — A New Financial Order Opened by Stablecoins In the uncertain digital asset market, stablecoins—the only assets that function "like real money"—have already emerged as a core part of the global financial infrastructure. This provides essential, condensed knowledge for professionals who want to be at the forefront of understanding the paradigm shift in the digital economy.

Agent concepts and practice all at once?! A seamless, integrated course completed with OpenClaw. (Mac recommended)

: "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.

With a single request to AI, you can automate an entire business task from start to finish—from compiling multiple files in various formats and organizing data to automatically generating documents and quotations and converting them to PDF,

"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.

If you only know LangChain, it's just a chatbot; but if you know LangGraph and Multi-Agent patterns, it becomes a service. An active AI instructor will share the know-how to build operational AI Agent workflows from start to finish—going beyond simple prompt calls to handling tools, maintaining memory, and incorporating human-in-the-loop verification—using 17 practice notebooks and 4 multi-agent patterns (Subagents, Handoffs, Router, and Skills).

Diagnose the future of my work and learn how to grow together with AI What we need now is the power to read the future of my work! In the midst of industrial restructuring and technological transformation trends, we'll specifically tell you from a job function perspective what changes are coming to your work now and how you can prepare for them.

1. Python coding study to obtain the AI certification, AICE Associate 2. Step-by-step Python coding study from basics to applications 3. Lectures by Professor Joongheon Kim of Korea University, a scholar in the field of AI

Learn how to structure diverse data—including students’ grades, school records, and areas of interest—using the AI-SPARS tool, and leverage an LLM to design everything from major exploration and college/admissions strategies to personalized roadmaps. Rather than simple Q&A, you can immediately apply in practice a systematic AX-style career and college counseling process that progresses from Profile-Interview-Major-College-Admissions Track-Gap-Roadmap-Smart Report-Portfolio.

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

The lecture explains why the harness is more important than the model through the lens of Claude Code architecture. It also covers how to design a Claude Code work system around six structures: Context Harness, Permission Harness, Verification Harness, Tool Harness, Subagent & Worktree Harness, and Debugging Harness. It then connects these concepts to CLAUDE.md, session management, controlling large codebases, parallel worktree operations, error log analysis, and tracking environment variable and configuration scope issues, helping you establish practical standards for continuing to use Claude Code in real-world backend and DevOps work.

What if you could hand over those repetitive tasks you've been stuck with all day to an AI assistant? Introducing a guide to building your own AI work assistant—not a GPT chat that requires a fresh explanation every time, but one that remembers you, works in your style, and even reports back via Slack. From installation and Slack integration to skill setup, Notion/Calendar/Email automation, and even security and cost management! Complete an AI work system you can use immediately at the office, with a step-by-step approach that anyone can follow even without coding knowledge. Point 1. Set up a "Personalized AI Assistant" that remembers you, unlike standard GPT chats - Build the basic AI assistant environment by following steps from OpenClo installation to Slack integration. - Create an assistant that works according to your professional style by setting its personality and rules. Point 2. Master practical automation patterns to reduce repetitive tasks - Connect with actual work tools like Notion, Calendar, and Email by installing skills. - Practice immediate automation for tasks such as morning briefings, writing work logs, sending emails, and managing schedules. Point 3. Complete an AI work system that can be used safely in the workplace - Review essential checkpoints for professionals, including permission management, security settings, and cost control. - Learn how to expand from a single AI assistant to a multi-agent work system.

Understand the basic concepts of AI and blockchain and learn how to apply them in real business scenarios. Beyond just theory, you will work on practical projects combining both technologies through a hands-on format to acquire the skills to master next-generation technology.