Why This Certification Matters

  • 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.

At a Glance: Course + Exam Overview

Program Name
AI+ Vibe Coding Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
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
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?

Who Should Enroll?

  • 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.

What You'll Learn

  • 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

  • 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

Tools You'll Master

Python
TensorFlow
PyTorch
GitHub Copilot
OpenAI Codex
Hugging Face Hub
LangChain
FastAPI
VS Code
Jupyter Notebooks
Pandas
NumPy
Scikit-learn
Docker
Streamlit
API Integration Tools
Prompt Engineering Frameworks
Automation SDKs
Version Control Systems (Git)

Prerequisites

  • Basic Computer Skills, Understanding of algebra and basic statistics, Logical Thinking, Programming Curiosity, English Proficiency

Exam Details

Duration

90 minutes

Passing Score

70%

Format

50 questions

Delivery Method

online proctored exam

Choose the Format That Fits Your Schedule

What's Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Online Proctored Exam with One Free Retake
  • Comprehensive Exam Study Guide
  • Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
  • 1 day (live or virtual) Self-Paced: 4 hours of content
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
  • 4 hours of content
  • Learn anywhere, anytime, with modular quizzes to track progress

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