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Overview In this lesson, you will learn: By the end, you will know how to break down problems and guide AI for reliable outputs. Key Concepts Concept Explanation 1. What is Multi-Step Reasoning? Some tasks are too complex for a single prompt. Multi-step reasoning divides the task into smaller steps…

Overview In this lesson, you will learn: By the end, you will know how to create multi-step prompt workflows for more sophisticated AI outputs. 💡 Key Concepts 🧠 Concept Explanation 1. What is Prompt Chaining? Sometimes a single prompt is not enough for a multi-step task. Prompt chaining solves this…

Overview In this lesson, you will learn: By the end, you will know how to design prompts that think and act, producing structured, accurate, and actionable outputs. 💡 Key Concepts 🧠 Concept Explanation 1. Why ReAct Prompting Matters Traditional prompts often either: ReAct combines both: Benefits: 2. How to Create…

Overview In this lesson, you will learn: By the end, you will know how to guide AI to generate more reliable and structured answers. 💡 Key Concepts 🧠 Concept Explanation 1. Self-Consistency Prompting CoT gives step-by-step reasoning, but a single attempt may be wrong. Self-Consistency solves this by: Example –…

Overview In this lesson, you will learn: By the end, you will know how to guide AI to produce structured, logical, and accurate outputs. 💡 Key Concepts 🧠 Concept Explanation 1. What is Chain-of-Thought (CoT) Prompting? Traditional prompts often ask AI to give direct answers, which can be incorrect for…

Overview In this lesson, you will learn: By the end, you will know how to write prompts that consistently produce the outputs you want. 💡 Key Concepts 🧠 Concept Explanation 1. Few-Shot Prompting Few-shot prompting gives the AI examples of the desired behavior so it can mimic them. Why it…