Prompt Engineering for Generative AI: Practical Techniques and Workflows

Communicating effectively with generative artificial intelligence requires more than simple conversational queries—it requires structured, intentional prompt engineering. This text-based course guides you through the principles of designing clear, reliable instructions that turn unpredictable AI responses into consistent, high-value outputs. What you'll learn: - Understand foundational AI terminology, tokenization basics, and core language model mechanics - Apply essential prompting patterns, including role assignment, zero-shot, and few-shot formatting - Master structured reasoning techniques like chain-of-thought and step-by-step guidance - Configure system prompts to reliably enforce output formats like JSON, Markdown, and tabular data - Explore modern integration concepts, including basic retrieval-augmented generation and context management - Practice identifying and mitigating hallucinations, ambiguity, and bias in automated outputs The course begins with foundational concepts and essential definitions before progressing into hands-on prompt design frameworks, practical problem-solving methods, and realistic workplace scenarios. Designed specifically for beginners, this course requires no prior programming or data science background. Start reading today to build reliable, structured prompting skills for modern generative tools.