Master Enterprise AI with
In-Depth Visual Masterclasses
Practical, code-first video tutorials covering Agentic AI frameworks, RAG architectures, Model Context Protocol (MCP), and live recorded classes.
code2career_ai - Video Hubs Teaser / Coming Soon
An official look into the upcoming enterprise AI masterclass hubs, hands-on RAG architectures, and agentic framework releases.
AI Fundamentals - Local LLMs, Caching & Token TTFT
Recorded live session breaking down KV caching, Time To First Token (TTFT), local Ollama LLM setup, and building console chatbots from scratch.
code2careerai - AI from the Glass of Math and Coding...
Comprehensive live class exploring Persona/Context/Task/Output (PCTO) prompt structuring, tokenization math, word embeddings, vector geometry, and web scraping agents.
Building Production Agentic AI Workflows with LangGraph
Learn how to architect, debug, and deploy enterprise-grade multi-agent systems from scratch using LangGraph, LangSmith observability, and Python.
Model Context Protocol (MCP) Crash Course for AI Engineers
A comprehensive deep dive into setting up custom MCP servers, context injection, prompts/resource backups, and zero-click automated pipelines.
Vector DB Masterclass: Pinecone & Hybrid Search RAG Systems
Master chunking strategies, embeddings generation, dense vs. sparse retrieval, and vector retrieval pipelines for real-world production LLM applications.
Architecting Enterprise LLM Gateways & Cost Optimization
How to design production LLM middleware handling Azure OpenAI routing, rate-limiting, fallback models, semantic caching with Redis, and cost controls.
