AI Engineering in a Nutshell - Quick Starter Guide

The AI landscape is a fast and rapidly evolving space and so many new and exciting things have come into existence over the past couple of months. This video is a quick introduction to the important and critical topics in the AI Engineering space and covers the following: Chapters: 00:00 - LLM (Large Language Models) 02:27 - Tokenization 05:56 - Vectorization / Vector Embedding 09:41 - Transformer Architecture / Attention Mechanism 12:43 - LLM Training / Self Supervised Training 19:13 - LLM Fine Tuning 22:33 - Prompt Engineering 25:12 - Vector Databases 31:14 - Retrieval-Augmented Generation (RAG) 37:57 - Tools / Function Calling 43:35 - Model Context Protocol (MCP) 52:03 - Context Engineering 01:00:46 - Harness Engineering 01:05:31 - Agentic AI 01:10:37 - Loop Engineering 01:19:38 - Spec Driven Development 01:26:15 - Repo Configurations (Agents.md, Claude.md, Skills.md) 01:31:24 - Evals 01:36:14 - Closing Summary #ai #aivideo #aifullcourse #aifundamentals #systemdesign #technology #tech #techtips #klasstechacademy #llm #mcp #promptengineering #contextengineering #harnessengineering #tools #vectordatabases #agenticai #aiagents #loopengineering #specdrivendevelopment #claude #gemini #antigravity #skills