Module 1.1: What is Generative AI — LLMs Explained Simply
What is Generative AI — LLMs Explained Simply
You have probably used ChatGPT, Copilot, or Gemini by now — maybe to draft an email, explain a bug, or summarise a document. But do you know what is actually happening when you type a message and the AI responds?
Module 2.1: Anatomy of a Good Prompt
Anatomy of a Good Prompt
Welcome to Unit 2. In Unit 1 you built a mental model of what GenAI is and where it fails. Now you start using it effectively.
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Module 2.2: Zero-Shot, Few-Shot, and Chain-of-Thought Prompting
Zero-Shot, Few-Shot, and Chain-of-Thought Prompting
In Module 2.1 you learned the six components of a well-structured prompt. This module teaches three specific techniques that sit on top of that foundation — the highest-impact methods professional prompt engineers use every day.
Module 2.3: Role Prompting and Persona Techniques
Role Prompting and Persona Techniques
You have already been using role prompting since Module 2.1 — every time you wrote “You are a senior Python developer…” at the start of a prompt, that was role prompting. This module goes deeper: what exactly makes a role effective, when it genuinely improves output, and — critically — when it can actually hurt the quality of your results.
Module 4.3: Fine-Tuning vs Prompting — When to Use Which
Fine-Tuning vs Prompting — When to Use Which
You now understand prompting (Units 1–2), RAG (Module 4.1), and agents (Module 4.2). This module answers the question that comes up in almost every Indian IT AI project discussion: when is prompting enough, when should you use RAG, and when do you actually need to fine-tune?
Module 2.4: Common Prompt Mistakes and How to Fix Them
Common Prompt Mistakes and How to Fix Them
This is the final module of Unit 2 — and the most practical one. You now have three modules of prompt engineering theory behind you. This module is about what goes wrong when you apply it, and how to fix it fast.
Module 3.4: Building Your Personal Prompt Library
Building Your Personal Prompt Library
This is the final module of Unit 3 — and the most directly actionable one. Over the past three modules you built prompts for developers, analysts, and managers. This module shows you how to collect, organise, and maintain all of them into a personal prompt library that compounds in value over time.