1.1 What is Vibe Coding?

1.2 Evolution of AI in Software Development – Low Code vs No Code vs Vibe Coding

1.3 Overview of Common AI Coding Tools by Functionality

1.4 SDLC for a Vibe Coding Product

1.5 Hands-on Lab: Familiarizing Learners with Multiple AI Coding Tools

1.6 Case Studies

2.1 Anatomy of a Good Prompt

2.2 Prompt Types – Instructive, Descriptive, Iterative

2.3 Prompting Patterns – Zero-Shot, Few-Shot, Chain-of-Thought

2.4 Hands-on Lab: Practice Zero-Shot, Few-Shot, and Chain-of-Thought Prompting

2.5 Use-Case 1: Creating a Python Calculator

2.6 Use-Case 2: Optimizing AI-generated Code Using Different Prompt Types

3.1 Reviewing and Refining AI-generated Code

3.2 Prompting for Bug Fixes and Test Coverage

3.3 Using AI-generated Unit Testing

3.4 Detecting Hallucinations and Unsafe Code

3.5 Hands-on Lab: AI-Assisted Debugging and Unit Testing

3.6 Activity Section

4.1 Planning the App: Frontend + Backend

4.2 Using IDEs and Code Generators to Scaffold Code

4.3 Connecting Components Using Natural Language

4.4 Deploying and Testing the MVP in Simulated Environment

4.5 Hands-on Lab: Building and Connecting the Frontend and Backend for Contact Form Submission

4.6 Hands-on Lab: Building a Standalone Desktop Calculator Application Using Tkinter

4.7 Hands-on Assignment 1: Task Management System – Full-Stack Development Using Prompts

5.1 AI Limitations and Biases

5.2 Prompt Injection and Mitigation Strategies

5.3 Data Privacy and Secure Coding

5.4 Responsible Use of AI in Production

5.5 Hands-on Lab: Build Awareness of AI Limitations and Responsible Practices

6.1 Apply All Learned Skills in a Real-World Project

6.2 Collaborate and Iterate Using AI Tools

6.3 Demonstrate End-to-End Development Using Prompts

6.4 Capstone Project Use Case: AI-Powered To-Do List Application

6.5 Capstone Project Use Case: AI-Powered Note-Taking Desktop App

6.6 Assignments