Development1-3 days depending on package • Hybrid • 4-12 developers

AI Coding Workshop

Boost your development productivity with cutting-edge AI tools

The way software is developed has been fundamentally transformed by AI.

Seminar Leader

Haris Yalcinkaya

Free initial consultation View packages

Developer working with AI coding assistant

Siemens

Your benefits

What you can expect from this seminar

Dramatic productivity increase
More consistent and cleaner code
More time for creative tasks
Reduced development costs

What you'll have after the seminar

Concrete results and deliverables

Fully configured AI development environment
Mastery of prompt engineering for code
Automated test and review processes
Documented best practices for your team
Measurable productivity increase
Security concept for AI-generated code

About this seminar

The way software is developed has been fundamentally transformed by AI. Modern AI coding assistants like GitHub Copilot, Claude, and ChatGPT enable developers to dramatically increase their productivity while improving code quality. In this hands-on seminar, you'll learn how to effectively integrate AI tools into your development workflow. From code generation to automated testing to documentation: the seminar shows you how to harness the full potential of AI in the development process. Ziya's experienced trainers will teach you not only the technical aspects but also best practices for secure and high-quality AI Coding support.

Objectives

Master modern AI coding assistants
Significantly increase development speed
Improve code quality through AI-powered reviews
Automate repetitive development tasks

Learning Outcomes

Effective use of AI coding assistants
Prompt engineering for developers
AI-powered code reviews and quality assurance
Automated test and documentation generation
Secure handling of AI-generated code

How Ziya works

1Hands-on coding sessions with AI assistants
2Live demonstrations of effective prompt techniques
3Pair programming with AI
4Code review workshops
5Practical exercises on real projects

Deliverables

Field-tested prompt templates for various coding scenarios
Configured AI tools in your development environment
Best practice guide for AI-assisted coding
Security checklist for AI-generated code

Seminar Details

Target Audience

Developers, software engineers, technical leads, and IT professionals who want to integrate AI into their development workflow

Format

Hybrid

Duration

1-3 days depending on package

Group Size

4-12 developers

Prerequisites

• Basic knowledge of at least one programming language
• Experience with version control (Git)
• Openness to new development methods
• Own laptop with development environment

Agenda

• Day 1: Fundamentals and setup of AI coding tools
• Day 2: Prompt engineering and effective code generation
• Day 3: AI-powered testing, code reviews and team integration

Tools & Methods

• GitHub Copilot
• Claude/ChatGPT
• AI-powered IDE Extensions
• Automated Testing Frameworks

Typical day schedule

09:00-09:30Introduction and goal setting

09:30-11:00Theory and live demos

11:00-11:15Coffee break

11:15-12:30Hands-on coding session

12:30-13:30Lunch break

13:30-15:00Pair programming with AI

15:00-15:15Coffee break

15:15-16:30Code review and optimization

16:30-17:00Q&A and best practices

Ziya's Work in Action

Free initial consultation

Your Expert

Haris Yalcinkaya

M.Sc. Computer Science, TU Dortmund

Founder, Speaker, Senior AI Consultant-Developer

Expertise & Qualifications

Master's degree with distinction (1.0) in Computer Science
Strategic Consulting
Consulting and implementation for more than 10+ medium-sized companies and corporations
Master thesis in AI and XR on: Rendering-assisted Deep Learning for Reconstruction of Physically-Consistent Scenes