Supercharge coding with AI+ Vibe Coder™ for smarter, faster creation Beginner-Friendly Approach: Designed for aspiring creators eager to explore AI-assisted coding with ease and confidence Interactive Learning Journey: Blends core coding concepts, intuitive AI tools, and hands-on practice to build real problem-solving skills Project-Driven Growth: Provides guided exercises and practical projects to help you build, refine, and showcase your AI-powered coding talents

• Empowers Intelligent Development: Learn to integrate AI into coding workflows to build smarter, more adaptive applications.
• Boosts Productivity: Automate repetitive programming tasks and streamline software development using AI-driven tools and assistants.
• Bridges Creativity and Code: Combine technical expertise with creative problem-solving to design innovative, human-centered digital experiences.
• Future-Proofs Your Career: Gain in-demand AI coding skills that are reshaping industries and redefining the developer’s role.
• Prepares for Real-World Impact: Apply AI in real coding environments to develop scalable, intelligent, and efficient solutions for diverse domains.

• Aspiring Programmers: Beginners eager to start their coding journey with the power of AI-driven learning and automation.
• Tech Enthusiasts: Individuals fascinated by how AI transforms coding, app development, and digital innovation.
• Students and Graduates: Learners seeking a practical foundation in programming enhanced by real-world AI applications.
• Career Switchers: Professionals from non-technical backgrounds looking to enter the tech industry through AI-assisted coding.
• Entrepreneurs and Creators: Innovators aiming to build smarter products, automate processes, and bring AI-powered ideas to life

• 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.

Module 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

Module 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

Module 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

Module 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

Module 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

Module 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