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AI+ Vibe Coding Practitioner™ certification badge

AP 111

AI+ Vibe Coding Practitioner™

Formerly known as AI+ Vibe Coder™

Supercharge coding with AI+ Vibe Coding Practitioner™ for smarter, faster creation
AI DevelopmentAI Professional
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At a glance

What is included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

  • Instructor-Led: 1 day (live or virtual)
  • Self-Paced: 4 hours of content

Recommended background

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

Examination

50 questions, 70% passing, 90 minutes, online proctored exam

About this certification

  • 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

Curriculum

Module 1: Introduction to Vibe Coding & AI Tools+
  1. 1.1 What is Vibe Coding?
  2. 1.2 Evolution of AI in Software Development – Low Code vs No Code vs Vibe Coding
  3. 1.3 Overview of Common AI Coding Tools by Functionality
  4. 1.4 SDLC for a Vibe Coding Product
  5. 1.5 Hands-on Lab: Familiarizing Learners with Multiple AI Coding Tools
  6. 1.6 Case Studies
Module 2: Prompting for Code – Basics & Best Practices+
  1. 2.1 Anatomy of a Good Prompt
  2. 2.2 Prompt Types – Instructive, Descriptive, Iterative
  3. 2.3 Prompting Patterns – Zero-Shot, Few-Shot, Chain-of-Thought
  4. 2.4 Hands-on Lab: Practice Zero-Shot, Few-Shot, and Chain-of-Thought Prompting
  5. 2.5 Use-Case 1: Creating a Python Calculator
  6. 2.6 Use-Case 2: Optimizing AI-generated Code Using Different Prompt Types
Module 3: Debugging & Testing via AI+
  1. 3.1 Reviewing and Refining AI-generated Code
  2. 3.2 Prompting for Bug Fixes and Test Coverage
  3. 3.3 Using AI-generated Unit Testing
  4. 3.4 Detecting Hallucinations and Unsafe Code
  5. 3.5 Hands-on Lab: AI-Assisted Debugging and Unit Testing
  6. 3.6 Activity Section
Module 4: Building a Simple Full-Stack App with Prompts+
  1. 4.1 Planning the App: Frontend + Backend
  2. 4.2 Using IDEs and Code Generators to Scaffold Code
  3. 4.3 Connecting Components Using Natural Language
  4. 4.4 Deploying and Testing the MVP in Simulated Environment
  5. 4.5 Hands-on Lab: Building and Connecting the Frontend and Backend for Contact Form Submission
  6. 4.6 Hands-on Lab: Building a Standalone Desktop Calculator Application Using Tkinter
  7. 4.7 Hands-on Assignment 1: Task Management System – Full-Stack Development Using Prompts
Module 5: Code Ethics, Security, and AI Limits+
  1. 5.1 AI Limitations and Biases
  2. 5.2 Prompt Injection and Mitigation Strategies
  3. 5.3 Data Privacy and Secure Coding
  4. 5.4 Responsible Use of AI in Production
  5. 5.5 Hands-on Lab: Build Awareness of AI Limitations and Responsible Practices
Module 6: Capstone Project – Prompt-Driven App+
  1. 6.1 Apply All Learned Skills in a Real-World Project
  2. 6.2 Collaborate and Iterate Using AI Tools
  3. 6.3 Demonstrate End-to-End Development Using Prompts
  4. 6.4 Capstone Project Use Case: AI-Powered To-Do List Application
  5. 6.5 Capstone Project Use Case: AI-Powered Note-Taking Desktop App
  6. 6.6 Assignments

Who should enrol

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.

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