AI+ Vibe Coder

Prerequisites

• Basic Computer Skills: Comfortable with operating systems and files.
• Mathematics Fundamentals: Understanding of algebra and basic statistics.
• Logical Thinking: Ability to approach problems step by step.
• Programming Curiosity: Interest in learning coding from scratch.
• English Proficiency: Ability to follow technical instructions clearly.

Course outline

1. 1

   Lesson 1: Introduction to Vibe Coding & AI Tools

   • 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. 2

   Lesson 2: Prompting for Code – Basics & Best Practices

   • 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. 3

   Lesson 3: Debugging & Testing via AI

   • 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. 4

   Lesson 4: Building a Simple Full-Stack App with Prompts

   • 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. 5

   Lesson 5: Code Ethics, Security, and AI Limits

   • 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. 6

   Lesson 6: Capstone Project – Prompt-Driven App

   • 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