Artificial Intelligence and Machine Learning Courses

AI+ Vibe Coder - Self-paced

Length 365 days access
Inclusions Online exam

Course overview

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Why study this course

The AI+ Vibe Coder course is designed for beginners, aspiring developers, and professionals such as AI/ML developers, data analysts, and technical specialists looking to build AI-driven coding capabilities. The course delivers practical, hands-on skills that enable these learners to leverage AI tools, prompting techniques, and coding practices to design, develop, and contribute to innovative software solutions in modern AI-driven environments.

Throughout the course, learners will explore core topics including AI fundamentals, prompt-based coding, debugging and testing with AI, and building full-stack applications using natural language prompts, supported by hands-on labs and a capstone project. With a strong emphasis on practical application and ethical AI practices, the course equips students with the experience to create real-world applications, optimise AI-generated code, and responsibly apply AI tools in coding workflows to drive innovation and productivity.

Exam and certification

This course prepares students for the corresponding certification. The exam/assessment is completed online and provided as part of the course content.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

Through this course, students will be able to:

Understand how to use AI tools to design, debug, and build applications through natural language prompts.
Integrate frontend and backend components while following secure and efficient coding practices.
Recognise the ethical, practical, and technical limitations of AI in software development.
Strengthen analytical thinking through hands-on labs, prompt engineering, and iterative project development.
Build functional MVPs and portfolio-ready applications that demonstrate AI-assisted coding proficiency.

AI CERTs at Lumify Work

AI CERTs® stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is a Platinum Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Aspiring AI Enthusiasts
Beginner Programmers
Students and Graduates
Career Switchers
Creative Problem Solvers

Course subjects

Module 1: Introduction to Vibe Coding & AI Tools

What is Vibe Coding?
Evolution of AI in Software Development – Low Code vs No Code vs Vibe Coding
Overview of Common AI Coding Tools by Functionality
SDLC for a Vibe Coding Product
Hands-on Lab: Familiarizing Learners with Multiple AI Coding Tools
Case Studies

Module 2: Prompting for Code – Basics & Best Practices

Anatomy of a Good Prompt
Prompt Types – Instructive, Descriptive, Iterative
Prompting Patterns – Zero-Shot, Few-Shot, Chain-of-Thought
Hands-on Lab: Practice Zero-Shot, Few-Shot, and Chain-of-Thought Prompting
Use Case: Creating a Python Calculator
Use Case: Optimizing AI-Generated Code Using Different Prompt Types

Module 3: Debugging & Testing via AI

Reviewing and Refining AI-Generated Code
Prompting for Bug Fixes and Test Coverage
Using AI-Generated Unit Testing
Detecting Hallucinations and Unsafe Code
Hands-on Lab: AI-Assisted Debugging and Unit Testing
Activity Section

Module 4: Building a Simple Full-Stack App with Prompts

Planning the App: Frontend + Backend
Using IDEs and Code Generators to Scaffold Code
Connecting Components Using Natural Language
Deploying and Testing the MVP in Simulated Environment
Hands-on Lab: Building and Connecting the Frontend and Backend for Contact Form Submission
Hands-on Lab: Building a Standalone Desktop Calculator Application Using Tkinter
Hands-on Assignment: Task Management System – Full Stack Development Using Prompts

Module 5: Code Ethics, Security, and AI Limits

AI Limitations and Biases
Prompt Injection and Mitigation Strategies
Data Privacy and Secure Coding
Responsible Use of AI in Production
Hands-on Lab: Build Awareness of AI Limitations and Responsible Practices

Module 6: Capstone Project – Prompt-Driven App

Apply All Learned Skills in a Real-World Project
Collaborate and Iterate Using AI Tools
Demonstrate End-to-End Development Using Prompts
Capstone Project Use Case: AI-Powered To-Do List Application
Capstone Project Use Case: AI-Powered Note-Taking Desktop App
Assignments

Prerequisites

Familiarity with operating systems, file management, and general computer navigation.
Knowledge of algebraic principles, basic statistics, and numerical problem-solving.
Strong analytical mindset with step-by-step problem-solving and reasoning ability.
Interest in exploring coding concepts, syntax, and algorithmic thinking from the ground up.
Ability to comprehend technical materials, follow instructions, and communicate ideas clearly.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.