[VOD] The Reality of the 2026 Developer Job Market: How to Find Opportunities in 'Legacy'

It is difficult to complete a classification service using only AI API calls. Based on practical experience, I guide you through everything from implementation to deployment.

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.”

Messy code, a flood of requirements... If you're looking for a breakthrough with AI, Learn how to become a "high-performing developer" by leveraging AI in legacy environments, taught by the former VP of Engineering at Toss Payments. Legacy code isn't going anywhere, even in the age of AI. It’s no exaggeration to say that every company has legacy code, unless they were founded today. So, how should we utilize AI in this reality? In this course, the former VP of Engineering at Toss Payments, who led a large-scale payment service organization, demonstrates firsthand how to work effectively using AI in legacy environments. This isn't just a course about how to use AI or basic coding skills. The goal is to help you develop your "critical thinking" as a developer and truly understand what it means to work effectively.

No matter how much you study technology, do you keep failing your interviews? You've memorized CS concepts, solved algorithms, and read through tech blogs. But whenever you enter the interview room, this happens: "Ah, I studied this...! Redis is... stored in... memory... um..." It's definitely in your head, but it won't come out of your mouth. In fact, according to a survey of 24 developers, 75% responded that "they knew it in their head, but couldn't speak it." 66.7% answered that they "got stuck on follow-up questions." The real problem isn't that you don't know. It's that you can't deliver what you know in the "way the interviewer wants." This lecture solves that problem.

This course allows you to experience a comprehensive list of questions and answer strategies for both technical and behavioral interviews. In particular, the curriculum is designed to help you prepare for interviews by learning—through Q&A—server scaling strategies and large-scale data processing strategies essential for junior-level technical interviews, as well as how to provide the best answers to open-ended questions typically encountered in final interviews.

Learn how to create a team of AI Agents with Grokbot that goes beyond simply chatting with AI to perform development, research, design, and operations tasks on your behalf. Build everything hands-on—from Agent design to Prompts/Rules, browser, terminal, and tool usage, Multi-Agent collaboration, Memory, Skills, Routines, cost optimization, and failure recovery—and ultimately complete a 24/7 AI Company system that performs repetitive tasks without requiring constant human instructions.

If you’ve ever had trouble determining whether the quality of responses declined after changing a prompt or model while building a service using an LLM, this course may be the solution. You’ll learn how to create your own evaluation criteria and automatically identify responses that have changed.

Is your skill stagnating because you keep asking AI to 'just whip something up'? This course dissects the principles and philosophy of the 'Cocrates Harness,' a rigorous constraint system that fundamentally blocks the sloppy generation of LLMs. Defy the gravity of AI convenience and discover the cheat code to rapidly growing into a 'true top-tier architect' who commands and controls every design context!

Can I execute the AI’s decisions as is? Learn how to run Laya directly to verify its decisions, then connect them to code rules to divide the process between automation and human review.

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

AI code rework and anxiety keep recurring. I’ll guide you through a review method you can see through to completion, based on standards validated and deployed in real-world practice.

From documents to interviews, the A-Z of designer employment is included. We will show you in detail how to increase your chances of passing by watching the interview process of an actual applicant that you cannot see anywhere else.

Beyond the basics of API design, CRUD implementation, and JWT authentication, all the way to backend architecture design! This is an introductory system design course to help you create 'your own backend architecture' so you can confidently discuss design experience in interviews.

How long will you keep struggling with repetitive daily research and document writing? I, too, was an ordinary office worker who worked overtime every day trying to find key insights amidst an overflow of information. However, after integrating Gemini 3 into my workflow, I experienced a significant increase in work speed. Boost your productivity by utilizing Gemini in your tasks.

For those of you who have completed intermediate SwiftUI, it is now time to integrate AI into your apps. Complete an on-device AI app that runs locally without an internet connection using Apple Intelligence and the FoundationModels framework.

When you use a chat-optimized LLM for classification, routing, and guardrails, it returns a string that you then have to parse again. This comes with hallucinations, type drift, delays of several seconds, and output-token costs. This course follows the architecture of Jev, TypeSafe’s first System One model: provide a state, and it returns typed decisions within a schema along with calibrated probabilities. The model does not generate strings. It covers, through concepts and code, why parallel sampling and RLCD (Reinforcement Learning for Calibrated Decisions) make those decisions fast, how to combine Choice · Score · Noul in a single request, and a hybrid approach that leaves structurally defined judgments to Jev and open-ended descriptions to an LLM.

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.

Learn how to turn a vague idea into a "completable work." The reason you fail to finish writing on your own is not a lack of talent, but a lack of planning, structure, genre, and scene-level design. Based on my Master of Fine Arts (MFA) in Screenwriting, over 10 years of writing experience, and the achievement of winning two awards with a single work, I will organize professional-standard writing techniques step-by-step online. In this main lecture, "Chapter 1: Film Planning," we will cover everything from planning methodologies to writing loglines and statements of intent, while also learning prompt engineering to utilize AI as a planning and assistant writer. Ultimately, you will work with the instructor to complete a one-sentence logline for the project you wish to write. The course proceeds with the perspective that the writer's judgment and design are what matter most, while AI is simply a tool that makes that process more efficient. The full curriculum for [Film and Drama Storytelling in the AI Era: Story Design for Creating Works and Careers] follows a 5-chapter roadmap: Film Planning → Structure → Plot & Character → Genre → Scene & Adaptation. By following each step, you can eventually expand your work into a full-length feature film screenplay (or a series proposal + scripts for episodes 1-2, depending on your goal). (Note: This course is sold individually by chapter.)

The online course “AI Teammates Do It All” is a hands-on program that teaches you how to use AI not merely as an automation tool, but as an “AI teammate” that works alongside you on practical tasks. The course is structured around common real-world workflows, including market research, proposal writing, strategy report creation, brand content visualization, project promotion and operations, and follow-up management. Participants assign various AI tools—including ChatGPT, Perplexity, Copilot, Canva, Gamma, MiriCanvas, and Vrew—as planning partners, strategic research partners, design partners, and operations support partners, and complete actual work deliverables with them. Across 30 sessions, you will learn step by step, from the basic mindset for working with AI to practical prompt writing, market research, proposal and report writing, brand content creation, and project operations. By following the course, you can develop the AI collaboration skills to work on your own like an entire team.

Are you wondering how to write a resume or prepare for an interview to get a data analyst job? You can learn everything about data analyst hiring at this seminar!