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[Rookiss] Rookiss's Pinpoint Lesson: AI Omakase Study Challenge

A world where employment is no longer guaranteed. No matter what you study, there is no guarantee that you can outrun the pursuit of AI. We need the wisdom to study a wide range of fields while constantly looking for opportunities, all while staying close to the massive wave that is AI. The theory sounds plausible, but when today's survival is the immediate problem, what should we do? Experienced newcomers at least have some saved capital, but fresh graduates and job seekers lack even the minimum support system. Even if they take part-time jobs to survive, their bank accounts quickly empty out due to housing and food costs, making it inevitable that studying for the future and actual survival drift further apart. In response to this reality, Rookiss is shifting the direction of our challenges. We are taking the lead to share people's burdens. We will operate challenges at an unprecedented scale with minimal costs, intending to cover the losses later through government-funded programs. In 2 to 3 years, the main force of the AI invasion—Physical AI—will be upon us. If you don't prepare in advance, the gap will only widen, and after that, there won't even be a chance for a turnaround. Today, we begin long-term intensive training to prepare for the AI era.

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[Rookiss] New Curriculum - Regarding the <<<Free>>> AI and UE5 Source Code Analysis Curriculum

Hello, this is Rookiss.


Summary: I am announcing a curriculum featuring a groundbreaking new approach.
Curriculum Orientation: [2027 Game Programmer Employment Strategy Guide] https://inf.run/KMupq

Start Date: 2026/06/20 (Saturday 8:00 PM)
*** Scheduled for Sat/Sun 8:00-11:00 PM, but subject to change ***

Lecture Location:
- Live Broadcast: YouTube ( https://www.youtube.com/@RookissAI )
- Schedule Announcements: Discord Channel ( https://discord.gg/3hJHnCFahc )
- Inflearn Recorded Online Course: To be opened later

Format:

image.png

Starting from this curriculum, we are adopting a [freemium] model for the first time.
- [Free] The lecture content will be delivered through free live broadcasts on YouTube,
- [Paid] while refined review/permanent collection courses will be sold as paid video lectures.
By utilizing this two-track strategy, we aim to reduce the burden on job seekers and promote long-term growth.


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Learning Categories:
- Utilization of AI (LLM, Agent replication, etc.)
- Unreal Engine source code analysis (specifically, Network/Rendering/Animation)

The topics starting on June 20, 2026, will open with agents, which have become common knowledge for everyone,
and from then on, the focus will primarily be on Unreal Engine source code analysis.
- Agent principles learned through Claude code imitation

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Upcoming UE5 Source Code Analysis Topics (Order TBD)
-- UE5 Memory Management (GC)
-- UE5 Multi-threading and Asynchronous Programming (Async)
--UE5 Reflection and UHT Code Analysis
-- UE5 UBT and Build Pipeline
-- UE5 Game Framework (Main Loop, Actor, Component System, etc.)
-- Introduction to DX12 for UE5 Code Analysis
-- UE5 Rendering (DX12 RHI)
-- UE5 Network (IRIS)
-- UE5 Animation
...
-- Final Boss: UE5 Motion Matching

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Description:
Now that AI has taken over content development, game programmers have no choice but to move upward.


In the era of Physical AI, the value of simulation is bound to increase,
which is why studying Unreal Engine in greater depth is highly significant.
Our team views two topics as particularly promising:
- [1] Implementation of large-scale simulations using Unreal Engine
- [2] AI agent characters utilizing CPC (Co Playable Character)

Accordingly, we intend to prepare for the era of Physical AI by narrowing the curriculum's focus to [studying core AI concepts / analyzing Unreal Engine source code].


In fact, looking at job postings from some companies, you can see that the recruitment rate for Unreal Engine experts is increasing.

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[Excerpt from Krafton TERA 2 Job Posting]

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Thank you.

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