Prompt Engineering focuses on how we instruct an AI model, while Context Engineering determines what information the model receives. Although well crafted prompts can guide responses, the quality and relevance of context ultimately drive meaningful, accurate outputs. In modern AI systems, true intelligence emerges from combining both - clear instructions supported by right data. Prompt Engineering : Prompt Engineering is about how your write instructions to the model to get desired output. Focus will be on : Wording of the input Structure of instructions Examples(few-shot learning) Tone, format, constraints etc. Example : You are helpful AI assistant. Summarize following text in 3 bullet points. Techniques : Zero/Few shot prompting Chain-of-thought prompting Role prompting(ex: You are a dev-ops expert.) Output formatting(output, table etc.) Goal : Get better responses by improving the prompt itself. Context Engineering : Context Engineering is about what information you provi...