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AI for Games

The Scrimba Full Stack Career Path serves as a comprehensive resource for aspiring full-stack developers, equipping them with the skills needed to enter the job market. 

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1. Discover the principles of designing and integrating intelligent behaviors in video games through AI for Games.

  2. Explore essential topics in game artificial intelligence, such as pathfinding, decision-making, and adaptive systems.

  3. Acquire practical skills in developing AI agents that deliver compelling challenges and authentic interactions, improving the gameplay experience.

CERTIFICATION:

  1. Earn a Certified Game AI Developer credential, showcasing your expertise in integrating artificial intelligence into game development.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. Grasp fundamental concepts of game AI and its significance in enhancing player engagement. 

  2. Utilize pathfinding methods like A* and Dijkstra for effective navigation. 

  3. Construct decision-making frameworks through state machines, behavior trees, and utility AI. 

  4. Develop responsive AI that adapts to player actions and changing game environments. 

  5. Employ game engines such as Unity and Unreal Engine to implement AI functionalities.

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Course Curriculum

Introduction to AI in Games
  1. What is Game AI?
  2. Difference between Game AI and General AI.
  3. Applications of AI in games: Pathfinding, decision-making, procedural content generation.
  4. Overview of AI tools and frameworks in gaming (Unity AI, Unreal Engine AI).
Fundamentals of AI in Games
  1. Core concepts: Agents, environments, states, and goals.
  2. Finite State Machines (FSMs) for character behavior.
  3. Rule-based systems for decision-making.
  4. Introduction to utility-based AI.
Pathfinding Algorithms
  1. Fundamentals of pathfinding in games.
  2. A* Algorithm: Concepts, implementation, and optimization.
  3. Dijkstra’s Algorithm and its applications.
  4. Navigation meshes (NavMesh) and grid-based pathfinding.
  5. Handling dynamic obstacles and real-time path updates.
Behavior Trees and Decision-Making
  1. Introduction to behavior trees for complex behaviors.
  2. Designing hierarchical behaviors for NPCs.
  3. Decision trees and pruning techniques.
  4. AI decision-making with Bayesian Networks.
AI for Tactical and Strategic Games
  1. AI for turn-based games: Decision-making and planning.
  2. Real-Time Strategy (RTS) AI: Resource management and opponent modeling.
  3. AI for multiplayer games: Balancing fairness and challenge.
  4. Building adaptive AI to respond to player strategies.
Procedural Content Generation (PCG)
  1. Role of AI in creating game worlds, levels, and assets.
  2. Procedural terrain generation with Perlin noise and fractals.
  3. Dungeon and map generation algorithms (e.g., cellular automata, BSP trees).
  4. AI-driven narrative generation and quest design.
Machine Learning in Games
  1. Introduction to ML concepts: Supervised, unsupervised, and reinforcement learning.
  2. Training AI for games using reinforcement learning (RL).
  3. Implementing Q-Learning and Deep Q-Networks (DQNs).
  4. Applications of ML in adaptive difficulty and player modeling.
Capstone Project
  1. Develop AI for a Game Prototype
    • Implement pathfinding, decision-making, and procedural generation.
    • Create dynamic NPCs with adaptive behaviors.
    • Integrate AI with a custom game level and present it as part of a portfolio.

Training Features

Hands-On AI Projects

Build AI-driven NPCs, enemies, and procedural systems for games.

Comprehensive Pathfinding Techniques

Learn and implement advanced pathfinding algorithms for real-time games.

Machine Learning in Games

Apply ML techniques to create adaptive AI and train game agents.

Industry-Standard Tools

Work with Unity, Unreal Engine, and Python-based AI frameworks.

Focus on Player Experience

Design AI to create engaging, challenging, and immersive gameplay.

Certification

Receive a certification upon course completion to demonstrate your expertise in Game AI.

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