Prompt Engineering for Developers: The Definitive Guide

"Prompt Engineering for Developers: The Definitive Guide" by Lauro Fialho Müller is an essential, highly practical masterclass designed for software engineers, developers, and tech architects aiming to harness the full potential of Large Language Models (LLMs). Rather than focusing on simple conversational prompts, this course dives deep into the engineering principles required to build reliable, scalable, and cost-effective AI-driven applications. Students will master advanced prompting patterns such as Chain of Thought, Persona, and Self-Critique, which are critical for tackling complex reasoning tasks. The curriculum emphasizes real-world software integration, teaching developers how to guarantee machine-readable outputs like JSON, handle function calling for external tool execution, and manage API costs in multi-turn workflows. A standout feature is the hands-on instruction on using LiteLLM to write provider-agnostic code, allowing seamless transitions between OpenAI, Anthropic, and local models. Additionally, learners will explore modern development workflows using AI coding agents like GitHub Copilot and build a complete AI-powered CLI tool from scratch. With a focus on robust software practices, the course also covers unit testing for AI applications by mocking external APIs. Whether you are looking to build smart automations or integrate sophisticated AI agents into existing systems, this course delivers the concrete engineering skills needed to transition from basic prompting to production-grade AI system architecture.