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.