</> Hands-On Engineering
AI+ Vibe Coder™
Supercharge coding with AI+ Vibe Coder™ for smarter, faster creation
Tech you'll master:
Python
LLMs
LangChain
Vector DBs
Cloud APIs
// What You'll Build
Engineering-First Curriculum
- 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
// SPECS
Program Details
Duration
- Instructor-Led: 1 day (live or virtual)
- Self-Paced: 4 hours of content
Prerequisites
Basic Computer Skills, Understanding of algebra and basic statistics, Logical Thinking, Programming Curiosity, English Proficiency
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
// CURRICULUM
Module Stack
Each module includes hands-on labs and real-world projects.
[01]
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
[02]
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
[03]
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
[04]
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
[05]
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
[06]
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
Why Engineers Choose This
Career-Defining Skills
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.
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