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?

  • 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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9/10 of our learners achieve their learning objectives after successful completionProcess Advisors

fortray global services

Hear it from our Alumni

fortray global services Success Stories
The course provided me with a solid understanding of IT service desk operations and troubleshooting techniques. It has improved my ability to handle user issues with confidence and professionalism.
Anu Lanish
Anu Lanish

IT Service Desk Technician

The course gave me a clear understanding of network security concepts and practical exposure. It helped me build confidence in handling real-world security tasks.
Rahul Raj Nalam
Rahul Raj Nalam

Network Security (Traineeship)

My path to cloud architecture had its hurdles, but Fortray was there every step of the way. They provided valuable insights into cloud technologies and architectural design. With their guidance, I turned challenges into opportunities, and today, as a Cloud Architect, I help organizations leverage the cloud for their growth and success.
Lokeshwar Reddy
Lokeshwar Reddy

Cloud Architect

The path to becoming a Cybersecurity Engineer felt like decrypting an impossible algorithm—until Fortray provided the key. Their mentorship was like a robust IPS, detecting and eliminating my weaknesses while optimizing my strengths. Now, I stand as a protector in the ever-evolving IT landscape, proud to carry their legacy forward.
Mohammad Owais
Mohammad Owais

Cybersecurity Engineer

This course strengthened my full-stack development skills and practical understanding. I am more confident in building and managing complete web applications.
Niraj Sah
Niraj Sah

Full Stack Web Developer

This course improved my understanding of project management methodologies and workflows. I gained practical skills to plan and execute projects effectively.
Naga Manikanta Kartheek
Naga Manikanta Kartheek

Project Management

The course provided valuable hands-on experience in data analysis tools and techniques. It enhanced my ability to extract meaningful insights from data.
Arsha Amir Khan
Arsha Amir Khan

Data Analyst

The training helped me build strong analytical skills and understand how to work with real-world data science problems effectively.
Sai Praneeth Reddy
Sai Praneeth Reddy

Data Scientist

The course helped me understand automation testing frameworks and best practices. I gained practical experience in writing and executing automated test cases.
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Subbhashree Varatharajan

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