Curriculums & Paths
Accelerate your mastery. Explore step-by-step tracks designed to take you from foundational syntax to advanced production engineering.
Frontend Architect
From browser fundamentals to scalable frontend systems. Master high-performance routing, code compilation, and micro frontend modules.
Key Competencies
- Micro Frontends
- State Reconciliation
- Hydration Optimizations
- Webpack & Turbopack
Learning Outcome
Design resilient UI layouts capable of scaling to hundreds of developers and millions of users.
System Design
Learn how distributed systems are designed and scaled. Architect high-availability backends with robust cache tiers, queue workers, and databases.
Key Competencies
- Load Balancing
- DB Replication Lag
- Redis Caching Layers
- Sharding & Partitioning
Learning Outcome
Design architectures capable of scaling reliably to millions of active requests and processing petabytes.
AI Engineer
Master LLMs, RAG, Agents and AI Systems. Transition from basic prompts to production multi-agent pipelines, vector stores, and execution trees.
Key Competencies
- Vector Store chunking
- Multi-Agent routing
- Tool usage trees
- Prompt evaluation
Learning Outcome
Deploy real-world AI assistants integrating multiple private API workflows and custom models.
DSA
Prepare for coding interviews with structured problem-solving. Master core graph structures, search traversals, and dynamic programming.
Key Competencies
- Graph Traversals
- Dynamic Programming
- Trees & Heaps
- Big-O Optimization
Learning Outcome
Solve complex algorithmic questions, design optimized data pipelines, and defend execution paths.
DevOps & Cloud
Deploy, monitor and scale production systems. Automate build, test, and release cycles using virtual containers, secure pipelines, and infra as code.
Key Competencies
- Containerization
- Test Pipelines
- AWS & Docker deploy
- Infrastructure as Code
Learning Outcome
Set up warning-free compiler check scripts and multi-ring canary deployments in secure networks.
Syllabus Walkthrough
Syllabus Timeline
1. Foundation
Learn core prompt engineering, tokenization, context constraints, structured schemas, embedding lookups, and local models evaluations.