Master Modern AI Engineering
& Backend Architecture
Production-grade hands-on courses, architectural deep-dives, and scenario-based interview challenges designed for software engineers.
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Claude Code Masterclass
Zero to Pro: Terminal AI agentic coding, CLAUDE.md memory, custom skills, subagents, and live SaaS project.
Java Backend Track
In-depth core Java, OOPs design principles, collections framework, exception handling, and enterprise backend engineering.
Model Context Protocol (MCP)
Complete guide: AI tools integration, custom MCP server development in Python & Node.js, and client configuration.
Google Antigravity CLI
Terminal AI agents, token optimization, sub-agent orchestrations, and production developer workflows.
Semantic Search & Vector DBs
Chunking strategies, embeddings mechanics, Haystack, Pinecone, Milvus, and hybrid search architectures.
Coding & System Design Challenges
Real-world interview questions, microservices patterns, concurrency scenarios, and hands-on coding problems.