C4: Container, Code, Cloud & Context
Designing intelligent systems, one layer at a time. ~ Nithin Mohan T K
Discover the foundations of machine learning from an enterprise architect’s perspective. Learn core ML concepts, the ML workflow, and practical Python implementations to kickstart your AI journey.
Read more →A comprehensive guide to the Anthropic Claude API covering Claude 3.5 Sonnet, tool use, vision, computer use, and production best practices.
Read more →Master Retrieval-Augmented Generation (RAG) with this expert-level guide. Learn about RAG types (Naive, Advanced, Modular, Agentic), chunking strategies, embedding models, vector databases, hybrid retrieval, and production best practices with high-quality architecture diagrams.
Read more →Learn to build production AI agents using LangGraph and CrewAI. Covers agent architectures, multi-agent teams, tool integration, and production best practices.
Read more →A comprehensive guide to the OpenAI API covering GPT-4o, function calling, the Assistants API, vision capabilities, and production best practices with code examples.
Read more →A comprehensive guide to securing LLM applications against prompt injection, jailbreaking, and data exfiltration attacks. Includes production-ready defense implementations.
Read more →