Track 01/frontend
Frontend Engineering
HTML, CSS, JavaScript, React, rendering models, and performance-focused interface engineering.
TypeScriptReactAccessibilityCaching
RoadmapStructured learning path
A sharper path from basic programming to real engineering depth.
This page is the first pass at an Awelgorithms roadmap surface: clear progression, visible milestones, and curated tracks that turn scattered learning into a sequence.
Starting point
Before specialization, learners need a durable base.
Variables, loops, functions, and debugging discipline
Arrays, strings, hash maps, stacks, queues, and trees
Big-O reasoning and tradeoffs in time versus memory
Learning stages
One sequence, four deliberate phases
The goal is to make progress feel directional. Each stage should unlock the next rather than scatter attention across unrelated topics.
Stage 1
Core programming fluency
Build speed with syntax, data structures, control flow, and debugging before chasing frameworks.
Stage 2
Algorithmic thinking
Learn to reason about search, recursion, dynamic programming, graphs, and constraints.
Stage 3
Build real products
Ship end-to-end apps with auth, storage, UI systems, tests, and deployment mechanics.
Stage 4
Specialize deliberately
Choose frontend, backend, AI, or systems and deepen through projects instead of passive reading.
Tracks
Choose a direction after the core is stable
These are not finished curriculum pages yet. They are the first layer of navigation for the roadmap system we can expand next.
Track 02/backend
Backend Systems
APIs, databases, authentication, queues, consistency, and production service design.
Node.jsSQLAuthObservability
Track 03/ai
AI Foundations
Linear algebra intuition, optimization, model evaluation, embeddings, and modern LLM application patterns.
MathTrainingInferenceEvaluation
Track 04/systems
Computer Systems
Operating systems, networking, memory, concurrency, and the mechanics underneath software.
OSNetworkingConcurrencyDistributed systems