Empowers Intelligent Development:
Learn to integrate AI into coding workflows to build smarter, more adaptive applications.
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AI CERTS® certification
AI+ Vibe Coding Practitioner™
Formerly known as AI+ Vibe Coder™ Supercharge coding with AI+ Vibe Coding Practitioner™ for smarter, faster creation
Enquire about this certificationCourse code: AP 111
Course overview
Review the course before deciding whether it is suitable.
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
- 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
- Exam format
- 50 questions, 70% passing, 90 minutes, online proctored exam
- Prerequisites
- Basic Computer Skills, Understanding of algebra and basic statistics, Logical Thinking, Programming Curiosity, English Proficiency
Course focus
Why this certification may be relevant.
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.
Who it may suit
Check the intended audience against your experience and goals.
- 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.
Course content
Modules supplied by AI CERTs.
Open each module to review the stated topics.
01Module 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
02Module 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
03Module 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
04Module 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
05Module 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
06Module 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
Tools referenced by AI CERTs
Platforms and tools included in the course information.
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)This course information is supplied through the AI CERTs catalogue. Kiwi Fern Education will confirm current availability, delivery arrangements, inclusions and fees before enrolment. The programme is not presented as a New Zealand Qualifications Authority qualification.
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Would you like to discuss this certification?
Tell us whether you are enquiring for yourself or a team and what capability you want to build. We will confirm the next steps before you commit.