Practical Knowledge for Enterprise AI

Practical Knowledge for Enterprise AI Adoption, Engineering, Evaluation, and Governance

AI Learning Playground provides practical knowledge for enterprise AI adoption, engineering, evaluation, and governance. It organizes the path from experimenting with generative AI to organizational deployment, implementation, evaluation, and governance by practical goal.

I work on enterprise AI adoption, training, enablement, AI tool evaluation, and governance design. I publish the practical knowledge from that work as docs and blog posts.

The site bridges the gap between casually using ChatGPT or Claude and being able to explain, validate, and improve AI in real work. Engineering fundamentals, AI adoption, RAG, evaluation, governance, and Claude Code/Codex practice are organized by practical goal.

Choose Your Path

Pick the route closest to your current goal and read the links in order.

01

Enterprise AI Practitioners — Start Here

1. 1What Is Generative AI
2. 2Generative AI Engineering
3. 3AI Agents
4. 4Generative AI Security
5. 5AI Governance

02

AI Adoption Leaders — Scale AI Across Your Organization

1. 1AI Transformation
2. 2Organizational & Cultural Change in AI Transformation
3. 3Individual AI Use vs. Organizational AI Use
4. 4What is AI Ready?
5. 5AI Adoption, AI Enablement, and AI Transformation

03

Enterprise Practitioners — Build Technical Foundations for AI-Enabled Work

1. 1Terminal Basics
2. 2Development Environment Setup
3. 3Programming Languages
4. 4Package Management Introduction
5. 5Git & GitHub

04

Developers — Design and Build AI Systems

1. 1RAG
2. 2Memory
3. 3AI Agents
4. 4Agentic AI
5. 5Tools
6. 6MCP
7. 7Skills
8. 8Hooks
9. 9Subagents
10. 10Orchestration
11. 11Evaluation

Learning Paths

Web Basics

Learn how the Internet and Web work from the ground up — HTTP, servers, DNS, databases, and cloud explained for beginners.

• How the Internet Works

Engineering

A guide to building programming environments, using Git, working with AI tools, and understanding production AI service architecture in the AI-native era of 2026.

• Terminal
• Environment
• Languages
• Package Managers
• Git & GitHub
• OSS License Basics
• Enterprise Integration
• Cloud Architecture
• Development Methods

AI

A structured learning guide covering AI and machine learning fundamentals, generative AI, RAG, fine-tuning, evaluation, agents, and MCP.

• AI Transformation
• AI & ML Basics
• How Generative AI Works
• Generative AI Engineering
• RAG
• Memory
• AI Agent
• Agentic AI
• Tools
• MCP
• Skills
• Hooks
• Subagents
• Orchestration
• Evaluation
• Fine-tuning & Distillation
• AI Security

Design

A practical guide to structuring AI design instructions for typography, layout, animation, and styling.

• Design Prompting Basics
• Layout Prompts
• Styling Prompts
• Accessibility Design

Claude

A learning guide for Claude, Anthropic’s AI assistant, and related products such as Claude Code, Claude Cowork, and Claude Design.

• Claude Features
• Claude Code Level Up
• Claude Code Harness

ChatGPT/Codex

A structured guide to ChatGPT and OpenAI Codex, covering Sites, Codex App, CLI, IDE extension, Web, hands-on tutorials, and harness design.

• ChatGPT Features & Product Lineup
• Codex Features & Product Lineup
• Codex Level Up
• Codex Harness
• Codex Mobile