Learn
Concept-based learning
Concept-first coverage built for applied understanding.
Build the fundamentals behind modern tech roles, then connect each topic to interview-ready practice.
Foundations
Build the base
Use these pages to strengthen programming, querying, version control, and database fundamentals.
Math & Stats
Reason with uncertainty and structure
Build the quantitative base for analytics, ML, experiments, and interview problem solving.
AI & ML
Move into modern AI roles
Learn the concepts behind model development, deep learning systems, and production AI applications.
Machine Learning
Modeling workflow and ML systems.
NLP
Tokenization and representations.
Deep Learning
Neural networks and transformers.
LLMs & Generative AI
Prompting and structured outputs.
RAG
Retrieval and grounded generation.
AI Agents
Tool use, planning, and workflows.
MCP
Connecting models to tools.
A2A
Standard agent-to-agent protocol.
Guardrails
Filtering and safe deployment.
Evaluation & Observability
Evals and tracing agent calls.
MLOps
Pipelines, serving, monitoring.
System Design for AI
Architecture and scaling for AI.
Backend & Infra
Build and ship real backends
Serve models and applications in production — APIs, containers, orchestration, and architecture tradeoffs.
Interview connection
Connect learning with interview practice
Use the interview hub to apply concepts through role, skill, cloud, and company-specific questions.