A curated collection of learning materials — from fundamentals to frontier topics
University students (semester 1–4)
7 courses across 4 semesters — data science, machine learning, generative AI, deep learning, computer vision, AI ethics, and cloud infrastructure.
ML engineers & researchers
Deep-dive reference on Large Language Models — transformers, pre-training, inference, reasoning, agents, and production systems.
CS students & engineers
Algorithms and data structures — complexity, sorting, graphs, dynamic programming, network flows. All code in Java.
Anak SD kelas 1–6 (usia 6–12)
Belajar memecahkan masalah seperti pemikir hebat — tanpa komputer! Dengan analogi seru dan aktivitas langsung.
Undergraduate CS students (year 1–2)
Generative Adversarial Networks and their famous descendants — DCGAN, StyleGAN, CycleGAN, Real-ESRGAN. Every equation explained, end-to-end code included.