1. Introduction to Prompt Engineering
Why prompt engineering matters, core concepts, evolution, and what you'll learn in 2025
Why prompt engineering matters, core concepts, evolution, and what you'll learn in 2025
Understanding the five core components and proven frameworks for effective prompts
Master Zero-shot, Few-shot, CoT, ReAct, Tree of Thoughts, Self-Consistency, and when to use each
Master JSON Mode, XML tagging, schema enforcement, and provider-specific techniques for production-grade LLM outputs
Spring AI Prompt API: ChatClient, PromptTemplate, Message types, and prompt engineering patterns for enterprise applications
Measuring prompt quality, A/B testing, metrics frameworks, and managing prompts in production
Self-critique, iterative refinement, meta-prompting, multi-turn reasoning, and cutting-edge prompt engineering methods
Vision-text prompting, document understanding, video analysis, and cross-modal reasoning with GPT-4V, Claude, and Gemini
Comprehensive guide to multi-agent systems: hierarchical, parallel, debate, and advanced orchestration patterns with Spring AI