🗺️ Interview Prep Roadmap & Knowledge Cards
A Systematic Path from Math to Role-Ready
13 modules · 77 bilingual guides · 477 standalone SEO knowledge cards live.
Knowledge Cards Completion13 / 13 modules active (477 cards)
Stage 0 · MathThe foundation: linear algebra, probability, sampling & optimization
📐 AI Math6 topics
✅ 32 cards32 points
Linear algebra, stats, sampling & optimization
🧭 View mind map & 32 cards →Stage 1 · Core ModelsClassic ML → Deep Learning → LLMs, the main spine
📊 Classic ML6 topics
✅ 44 cards44 points
Regression, SVM, trees, clustering, PGMs & metrics
Prereq: AI Math
🧭 View mind map & 44 cards →🧠 Deep Learning8 topics
✅ 38 cards38 points
CNN, RNN/SSM, optimizers, normalization & generative
Prereq: AI Math → Classic ML
🧭 View mind map & 38 cards →⚡ LLMs10 topics
✅ 48 cards48 points
Transformer, alignment, quantization, MoE & reasoning
Prereq: Deep Learning
🧭 View mind map & 48 cards →Stage 2 · AdvancedRL and multimodal — interview differentiators
🎮 Reinforcement Learning5 topics
✅ 38 cards38 points
MDP, DQN/PPO, offline RL & model-based
Prereq: AI Math → Classic ML
🧭 View mind map & 38 cards →👁️ Multimodal5 topics
✅ 37 cards37 points
CLIP, VLMs, diffusion & world models
Prereq: Deep Learning → LLMs
🧭 View mind map & 37 cards →Stage 3 · EngineeringFrom model to system: infra, engineering & system design
🖥️ AI Infrastructure8 topics
✅ 32 cards32 points
GPU, KV cache, parallelism, scheduling & MLOps
Prereq: Deep Learning → LLMs
🧭 View mind map & 32 cards →🤖 AI Engineering6 topics
✅ 65 cards65 points
RAG, agents, tool use & guardrails
Prereq: LLMs
🧭 View mind map & 65 cards →🏗️ System Design6 topics
✅ 43 cards43 points
Recsys, search/ads, risk control & generative systems
Prereq: Classic ML → Deep Learning → LLMs
🧭 View mind map & 43 cards →Stage 4 · Role PathsNot new modules — combinations of what came before, plus role-specific topics
💻 ML Engineer5 topics
✅ 25 cards25 points
Core, coding, eval/debugging & system design
📊 Classic ML→🧠 Deep Learning→⚡ LLMs→🏗️ System Design→🎯 ML Engineer
🧭 View mind map & 25 cards →🚀 AI Systems Engineer4 topics
✅ 25 cards25 points
Fine-tuning, agent production systems, infra & system design
⚡ LLMs→🖥️ AI Infrastructure→🤖 AI Engineering→🏗️ System Design→🎯 AI Systems Engineer
🧭 View mind map & 25 cards →🎓 Research Scientist4 topics
✅ 25 cards25 points
Proofs, paper deep-dives & experiment design (theory-heavy)
📐 AI Math→📊 Classic ML→🧠 Deep Learning→⚡ LLMs→🎯 Research Scientist
🧭 View mind map & 25 cards →📈 Data Scientist4 topics
✅ 25 cards25 points
A/B testing, causal inference & experiment design (application-heavy)
📐 AI Math→📊 Classic ML→🧠 Deep Learning→⚡ LLMs→🎯 Data Scientist
🧭 View mind map & 25 cards →You can start right now: every module's deep topic guides are ready. Enter the tech vault below.
📚 Enter the Tech Vault