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AI+ Vibe Coder™

# AP 111

Transform coding with AI + Vibe Coder™ to boost creativity, automate workflows, and build intelligent digital experiences.

Empower Creativity with AI: Fast, Fun, Future-Ready
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
Creative Tech Exploration: Learn how AI enhances ideation, prototyping, and digital expression across modern tech workflows
Project-Driven Growth: Provides guided exercises and practical projects to help you build, refine, and showcase your AI-powered coding talents

$195.00

High-Quality Video, E-book & Audiobook

Modules Quizzes

AI Mentor

Access for Tablet & Phone

Online Proctored Exam with One Free Retake

Hands-on Practices

Prerequisites

Basic Computer Skills – Comfortable with operating systems and files.
Mathematics Fundamentals – Understanding of algebra and basic statistics.
Logical Thinking – Ability to approach problems step by step.
Programming Curiosity – Interest in learning coding from scratch.
English Proficiency – Ability to follow technical instructions clearly.

Exam Details

Exam Blueprint

Modules	Percentage
Introduction to Vibe Coding & AI Tools	15
Prompting for Code – Basics & Best Practices	15
Debugging & Testing via AI	15
Building a Simple Full-Stack App with Prompts	20
Code Ethics, Security, and AI Limits	20
Capstone Project – Prompt-Driven App	15

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Hands-on

Practical experience through real-world exercises, case studies, and applied learning.

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)

What Will You Learn?

AI-Assisted Coding

Learn how to write, optimize, and debug code using intelligent AI tools and natural language interfaces.

Machine Learning Fundamentals

Understand core ML concepts to build smarter, data-driven applications that adapt and improve over time.

Generative Development Techniques

Explore how generative AI can automate code generation, testing, and creative problem-solving in real-world projects.

Automation and Integration

Master integrating AI into workflows to streamline software development and enhance productivity across multiple platforms.

Ethical and Responsible Coding

Gain awareness of responsible AI practices, ensuring transparency, fairness, and safety in AI-powered software solutions.

Certification Modules

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

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

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

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

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

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

Earn a Shareable Certification Credential

Add to LinkedIn under "Licenses & Certifications"

Showcase your expertise to potential employers and professional connections.

Download a Verified Certificate - Blockchain

Your certificate is secured on the blockchain for tamper-proof authenticity and can be downloaded as a high-quality PDF for personal records or professional sharing.

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Celebrate your accomplishment with your network on all social platforms.

Industry Opportunities after Certification Completion

Median Salaries

Unknown

With AI+ Vibe Coder™

Unknown

% Difference

Unknown

AI Software Developer

Design and build intelligent applications that leverage machine learning models to automate processes and enhance user experiences.

AI Integration Engineer

Implement and optimize AI frameworks within existing systems to improve functionality, scalability, and performance.

Data-Driven Application Developer

Develop smart apps powered by data analytics and predictive modeling to solve real-world business challenges.

Automation Solutions Architect

Create AI-based automation pipelines that streamline coding workflows, boost productivity, and reduce manual effort.

Chief AI Innovation Engineer (CAIIE)

Lead next-generation AI software initiatives, driving digital transformation and intelligent product development across industries.

Trusted Reviews by Our Learners

Abhilash Jenna

I’m happy to share that I’ve obtained a new certification: Certified AI+ Vibe Coder™ from AI CERTs®!

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Learner Success Stories

Frequently Asked Questions

Can I apply what I learn in this course to real-world scenarios immediately?

Yes, this certification provides hands-on experience through real coding challenges and AI-driven projects. You’ll be ready to build intelligent applications and automate workflows from day one.

What makes this course different from other Coding and AI courses?

This certification uniquely combines programming fundamentals with AI-powered development, focusing on real-world automation, generative coding, and intelligent software creation.

What type of projects will I work on?

You’ll work on projects like AI-assisted app development, automated code generation, chatbot creation, and a capstone project building an AI-powered coding assistant or tool.

How is the course structured to ensure I actually learn the skills?

The course blends expert-led lessons, interactive coding labs, and practical projects with real-world applications to ensure hands-on mastery of AI-integrated programming.

How does this course prepare me for the job market?

It equips you with high-demand AI coding skills, real-world project experience, and the technical foundation needed for emerging roles in AI software and automation development.