Courses
AI lives in its own area. DSA + System Design live together in CS Fundamentals.
Part 1 · AI
AI Engineering
LLMs, prompts, RAG, agents, multimodal, prod — beginner to pro.
11 sections · 39 chapters
Open roadmapWelcome · 3
Start here. How to use this platform and how to learn AI as a beginner.
AI Foundations (No Math Fear) · 4
What is AI, ML, deep learning, data, models — in plain English.
Python for AI · 3
Just-enough Python to call models and handle data.
How LLMs Work (Visual First) · 4
Tokens, transformers, prediction — beginner visual mental models.
Your First AI App · 3
Call an LLM API today. Parameters, structured output, streaming.
Prompt Engineering · 4
Write prompts that work reliably, not by luck.
Embeddings, Vector Search & RAG · 6
Give models your docs. The core AlgoMaster pattern, beginner-first.
Tools, Function Calling & Agents · 5
From text to action: tools, MCP, memory, multi-agent.
Multimodal & Generative AI · 2
Image, audio, video — how vision and diffusion work at a high level.
Ship to Production · 3
Costs, latency, caching, monitoring, lifecycle — like AlgoMaster's deploy section.
Ethics, Limits & Career · 2
Extra beyond AlgoMaster: safety, jobs, portfolio for beginners.
Part 2 · DSA + System Design
DSA (Beginner)
Patterns, not random problems. Warmup → core patterns → mocks.
6 sections · 22 chapters
- Core patterns: Two Pointers, Sliding Window, Hash Tables, Binary Search
- Runnable examples in the in-browser playground
- Timed mock interviews with a scoring rubric
Start Here · 3
How coding interviews work, how to think in patterns, no fear setup.
Warmup (Code Confidence) · 3
Loops, strings, math — tiny wins before patterns.
Core Patterns · 7
The 80/20 patterns that cover most easy/mediums.
Essential Data Structures · 4
Stack, queue, linked list, trees — when to reach for each.
Next Level (Brief) · 4
Taste of DP, graphs, intervals — beginner-safe intro only.
System Design (Beginner)
Scale intuition, data, caching, queues, TinyURL-style interviews.
6 sections · 18 chapters
- Caching, replication, queues, and scaling patterns
- Worked designs: TinyURL, rate limiter
- Estimation drills and tradeoff frameworks
Start Here · 3
What system design is, and the 30 concepts map.
Foundations · 3
Networking, APIs, load balancing — plain English.
Data Layer · 4
SQL vs NoSQL, caching, replication — beginner mental models.
Building Blocks · 3
Queues, pub/sub, websockets — async for beginners.
Scaling Patterns · 3
CAP, consistency, failures — intuition only.
Interview Questions (Beginner) · 2
TinyURL, rate limiter, feed — frameworks you can reuse.