AI+ Vibe Coding Practitioner™

• 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.

• 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.

Inhoud

• 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

• 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)

Lesmethode

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

Kenmerken

Online proctored exam included, with one free retake.
Exam format:

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

Access to all materials and exams is provided for 365 days after delivery.

Voorkennis

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