Curated Learning Paths
Follow structured, role-based career paths from fundamental principles to production scale. Each path groups modules, hands-on labs, and system design challenges designed for continuous technical depth.
Available Paths
5 Specialized
Lessons Completed
0 Finished
Active Streak
0 Days
Interview Questions
261 Verified
Agentic AI & Multi-Agent Architect
Advanced → PrincipalTarget Role: Principal Agentic Engineer
Master autonomous reasoning loops, LangGraph stategraphs, Model Context Protocol (MCP), human-in-the-loop controls, and multi-agent supervisor hierarchies.
Enterprise RAG Systems Architect
Intermediate → AdvancedTarget Role: Senior AI / Retrieval Engineer
Build production-grade retrieval augmented generation: hybrid search, cross-encoder reranking, multivector dense retrieval, and layout-aware table extraction.
LLM Platform & Foundation Engineer
Beginner → AdvancedTarget Role: Staff LLM Engineer
From Transformer attention mechanics and LoRA fine-tuning to KV cache management, speculative decoding, and high-throughput vLLM serving.
Modern Data & Streaming Engineer
Beginner → AdvancedTarget Role: Lead Data Engineer
Construct resilient data infrastructure: Apache Spark AQE, Delta Lake ACID transactions, Kafka streaming, and data lakehouse partitioning.
Distributed AI Systems Design
AdvancedTarget Role: Enterprise Systems Architect
Design resilient, fault-tolerant distributed AI architectures handling 100k concurrency, multi-region failovers, and end-to-end OpenTelemetry tracing.