AI+ Vibe Coder™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Duration
1 day

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
WalkIn®

Modern software development combines technical thinking with creative processes and AI-supported assistance. This continuing education program provides a contemporary understanding of how artificial intelligence is changing, accelerating, and enhancing the quality of everyday coding—in a practical, reflective, and professional manner.

Key topics

  • AI-supported code creation and optimization.
  • Prompt strategies for development workflows.
  • Collaboration between humans and AI in coding.
  • Quality, security, and responsibility in AI use.
  • Current tools and trends in AI-driven development.

Prerequisite
Basic knowledge of programming or software development.

Target audience
Professionals from IT, development, and tech-related fields who want to integrate AI into existing coding processes in a meaningful way.

A clear focus on practical AI skills creates confidence in dealing with new technologies and strengthens your own role in a changing digital working world.
 

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course content
  • What is vibe coding?
  • The development 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: Introducing learners to various AI coding tools
  • Case studies
  • Structure of a good prompt
  • Types of prompts – instructional, descriptive, iterative
  • Prompt patterns – zero-shot, few-shot, chain-of-thought
  • Practical lab: Practice zero-shot, few-shot, and chain-of-thought prompting.
  • Use case 1: Creating a Python calculator.
  • Use case 2: Optimizing AI-generated code using different prompt types.
  • Reviewing and refining AI-generated code
  • Requesting bug fixes and test coverage
  • Using AI-generated component tests
  • Detecting hallucinations and unsafe code
  • Hands-on lab: AI-assisted debugging and component testing
  • Activity area
  • Application planning: front end + back end
  • Use of IDEs and code generators to create code frameworks
  • Connecting components using natural language
  • Deploying and testing the MVP in a simulated environment
  • Hands-on lab: Creating and connecting frontend and backend for submitting contact forms.
  • Hands-on lab: Creating a standalone desktop computer application with Tkinter.
  • Practical task 1: Task management system – full-stack development with prompts.
  • Limitations and distortions of AI
  • Prompt injection and risk mitigation strategies
  • Data protection and secure programming
  • Responsible use of AI in production
  • Hands-on lab: Building awareness of the limits of AI and responsible practices.
  • Applying all learned skills in a real-world project
  • Collaboration and iteration using AI tools
  • Demonstration of end-to-end development using prompts
  • Use case for the capstone project: AI-powered to-do list application.
  • Use case for the capstone project: AI-powered desktop app for creating notes.
  • Tasks

Frequently asked questions

  • An AI Vibe Coder™ develops AI-powered applications with a focus on code generation, problem solving, test automation, and creative prompt engineering.
  • Basic programming skills, technical understanding, and an interest in AI tools are sufficient to get started.
  • Modern AI tools such as GitHub Copilot, ChatGPT, and specialized coding models are used—practical and versatile.
  • The combination of technical precision, creative freedom, and AI power creates new approaches to development and innovation.
  • Yes, the course is beginner-friendly and explains in an understandable way how AI is used in development—without being overwhelming.
  • Less routine work, faster results, creative impulses, and more focus on conceptual tasks in the development process.
  • AI becomes a co-developer: it writes code, tests, analyzes, and helps build software faster and more efficiently.

Do you have any further questions? Please contact us.