Guides

Curated, hands-on guides across AI engineering topics.

AI Agents

Define, design, and orchestrate LLM-powered agents.

AI-Empowered Future

Nine pillars for thriving in an AI-first engineering era.

AI Fluency for Builders

A practical guide to working smarter with AI.

Data-Centric AI Development

A practical framework focused on data quality for robust AI systems.

DSPy: Programming Language Models

Short, practical guide to DSPy programming and GEPA optimization.

Evaluation

Evaluate AI systems with practical frameworks and examples.

Fine-Tuning & Customization

Adapt open-source models to your specific domain with a structured process.

LLM Fundamentals

Master the foundations of Large Language Models - architecture, training, and applications.

Mastering RAG

Build knowledge-intensive apps by combining LLMs with retrieval.

Model Context Protocol (MCP)

Build powerful tool-enabled agents using MCP.

Prompt Engineering

Patterns, techniques, and practical prompts for real-world systems.

Prompt Guide

A structured walkthrough for crafting reliable prompts.

Vibe Coding

Lightweight coding heuristics and patterns for fast iteration.