Foundations of AI and Prompt Engineering

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…

Overview In this lesson, you will learn: By the end, you’ll know how to test, tweak, and perfect prompts to guide AI effectively. 💡 Key Concepts 🧠 Concept Explanation 1. What is Iterative Prompting? AI may not always give perfect answers the first time. Iterative prompting is the process of:…

Overview In this lesson, you will learn: By the end, you will know how to write prompts that guide AI more precisely and produce consistent, useful outputs. 💡 Key Concepts 🧠 Concept Explanation 1. Why Structure Matters AI works best when it clearly understands: Without structure, AI may misinterpret the…

Overview In this lesson, you will learn: By the end, you will know how to guide AI to give more useful, clear, and relevant responses. 💡 Key Concepts 🧠 Concept Explanation 1. How AI Generates Text AI predicts one word (or token) at a time, based on: Example: 2. Controlling…