Prompt Engineering
Prompt Engineering focuses on designing and optimizing effective instructions (prompts) for AI and Large Language Models (LLMs) to produce accurate, relevant, consistent, and useful outputs. It combines clear communication, structured reasoning, context management, and iterative refinement to improve AI performance across different tasks. This module covers prompt fundamentals, zero-shot and few-shot prompting, role prompting, instruction design, context management, prompt templates, chain-of-thought techniques, structured outputs, prompt chaining, tool calling, RAG prompting, multimodal prompting, prompt evaluation, optimization, safety, and real-world LLM applications. It helps learners create reliable, precise, and effective prompts for AI-powered applications and workflows.