AI+ Game Design Agent™

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^®

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Creative ideas meet intelligent systems: Modern game development gains momentum when AI supports processes, helps shape content, and enables informed decisions. This course shows how innovative methods can be combined with current technologies to make digital worlds smarter.

Key topics

AI-supported design workflows
Automated idea and content generation
Adaptive mechanics and intelligent game systems
Data-driven decision-making processes in design
Trend technologies for creative production pipelines

Prerequisite
Basic understanding of digital media and openness to AI-based working methods.

Target audience
Suitable for creative professionals in game design, media production, development, and related fields who want to integrate modern AI methods.

A future-oriented introduction to AI-supported design that combines current technologies and gives creative game worlds new impetus.

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course content

Understanding AI agents

What are AI agents?
Agent architectures and environments
Fundamentals of decision-making and behavior
Introduction to multi-agent systems
Case study: Pac-Man ghost AI
Practical exercise: Building a simple reactive AI agent that moves around in a simple environment using Pygame.

Introduction to AI game agents

What is an AI game agent?
Key components of AI game agents
Agent architectures
Behaviors of AI game agents
Case study: Racing games (e.g., Mario Kart, Forza Horizon)
Practical exercise: Creating a simple game with moving boxes in Playcanvas.

Reinforcing learning in game design

Fundamentals of reinforcement learning
Important algorithms: Q-learning and SARSA
Application of RL to game agents
Challenges and solutions in game-based RL
Case study: AlphaZero in games: Mastering chess, shogi, and Go through self-play and reinforcement learning.
Practical exercise: Training a simple RL agent in the OpenAI Gym environment.

AI for NPCs and pathfinding

Understanding NPCs as AI agents
Simple AI techniques for NPCs
Pathfinding algorithms
Obstacle avoidance and movement optimization
Case study
Practical exercises

AI for strategic decision-making

Decision trees and minimax for game AI
Monte Carlo tree search (MCTS) for AI agents
Utility-based decision-making for game AI
AI in real-time strategy (RTS) games
Case study: StarCraft II AI by DeepMind
Practical exercise: Implementing a simple MCTS agent for Tic-Tac-Toe with Pygame.

AI game agent in virtual 3D environments

Representation of 3D environments and challenges for AI agents
Creation of navigation networks for AI agents in 3D
Complex agent behavior in 3D worlds
Case study: The Last of Us
Practical exercise: Development of a 3D AI agent with navigation and interaction in Unity using NavMesh and C#.

Future trends in AI game design

Current and future AI trends
The future of generalist AI in games
Case study

Capstone project

Job description
Practical implementation
Testing and debugging
Practical exercises

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What exactly is AI+ Game Design Agent™?

A compact training course for anyone who wants to use artificial intelligence to design creative games, automate processes, and quickly implement new ideas.

Who benefits from the AI+ Game Design Agent™ course?

Suitable for creative professionals, game designers, developers, career changers, and anyone who wants to develop games with AI or reorient their career.

How does AI support game development?

The use of tools such as Unity ML-Agents, PyTorch, and Blender will be demonstrated. AI assists with storytelling, characters, quests, assets, and testing—all applied in a practical and strategic manner.

Do you need to know how to program?

No. It explains in an understandable way how AI can be used without prior knowledge—optionally, there are basics on Python, Unity, and prompting.

What makes this course special?

Combines game design and AI without detours. Focus on rapid implementation, creative freedom, modern tools, and directly applicable knowledge.

Is there an official certificate included?

Yes. Upon successful completion, you will receive a recognized AI certificate—ideal for your portfolio, job application, or next career step.

What career opportunities does the course offer?

Opens up new avenues in game design, indie studios, start-ups, and agencies—anywhere where AI and creative technologies are in demand.

Do you have any further questions? Please contact us.

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0800 258 258 055

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