{"course":{"productid":36653,"modality":1,"active":true,"language":"de","title":"AI+ Game Design Agent\u2122","productcode":"AGAMINGD","vendorcode":"AH","vendorname":"AI Certs","fullproductcode":"AH-AGAMINGD","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/aicerts-agamingd","objective":"<ul>\n<li>Next-Gen Game Creation Learn to design intelligent, adaptive games that respond dynamically to player behavior and choices.<\/li><li>Industry-Relevant Expertise Gain skills at the intersection of AI, creativity, and game design&mdash;highly sought after in modern studios.<\/li><li>Hands-On Innovation Build real-world projects integrating AI-driven storytelling, procedural worlds, and smart NPC systems.<\/li><li>Career Acceleration Stand out for roles in AI game development, systems design, and creative technology leadership.<\/li><li>Future-Ready Skills Prepare for the evolving gaming landscape where AI shapes creativity, engagement, and interactive storytelling.<\/li><\/ul>","essentials":"<p>Basic knowledge of programming, game design fundamentals, and core mathematical concepts is recommended. Ideal for learners with an interest in AI principles, algorithmic thinking, and creative problem-solving to design intelligent, dynamic, and interactive game experiences.<\/p>","audience":"<ul>\n<li>Aspiring Game Designers &ndash; Perfect for those who want to integrate AI into storytelling, mechanics, and player experiences.<\/li><li>AI Enthusiasts &ndash; Ideal for learners eager to explore how AI can enhance creativity and interactivity in games.<\/li><li>Game Developers &ndash; Great for professionals aiming to build intelligent systems, adaptive gameplay, and smart NPCs.<\/li><li>Digital Artists &ndash; Excellent for creatives interested in using AI to design immersive environments and dynamic game elements.<\/li><li>Tech Entrepreneurs &ndash; Ideal for innovators looking to leverage AI in building the next generation of interactive gaming platforms.<\/li><\/ul>","contents":"<h5>Module 1: Understanding AI Agents<\/h5><ul>\n<li>1.1 What are AI Agents?<\/li><li>1.2 Agent Architectures and Environments<\/li><li>1.3 Decision Making and Behavior Basics<\/li><li>1.4 Introduction to Multi-Agent Systems<\/li><li>1.5 Case Study: Pac-Man Ghost AI<\/li><li>1.6 Hands On: Build a Basic Reactive AI Agent Navigating a Simple Environment Using Pygame<\/li><\/ul><h5>Module 2: Introduction to AI Game Agent<\/h5><ul>\n<li>2.1 What is an AI Game Agent?<\/li><li>2.2 Key Components of AI Game Agent<\/li><li>2.3 Agent Architectures<\/li><li>2.4 AI Game Agent Behaviors<\/li><li>2.5 Case Study: Racing Games (e.g., Mario Kart, Forza Horizon)<\/li><li>2.6 Hands-On: Creating a Simple Box Movement Game in Playcanvas<\/li><\/ul><h5>Module 3: Reinforcement Learning in Game Design<\/h5><ul>\n<li>3.1 Basics of Reinforcement Learning<\/li><li>3.2 Key Algorithms: Q-Learning and SARSA<\/li><li>3.3 Applying RL to Game Agents<\/li><li>3.4 Challenges and Solutions in Game-based RL<\/li><li>3.5 Case Study: AlphaZero in Games: Mastering Chess, Shogi, and Go through Self-Play and Reinforcement Learning<\/li><li>3.6 Hands On: Train a simple RL agent in OpenAI Gym environment<\/li><\/ul><h5>Module 4: AI for NPCs and Pathfinding<\/h5><ul>\n<li>4.1 Understanding NPCs as AI Agents<\/li><li>4.2 Simple AI Techniques for NPCs<\/li><li>4.3 Pathfinding Algorithms<\/li><li>4.4 Obstacle Avoidance and Movement Optimization<\/li><li>4.5 Case Study<\/li><li>4.6 Hands-On<\/li><\/ul><h5>Module 5: AI for Strategic Decision-Making<\/h5><ul>\n<li>5.1 Decision Trees and Minimax for Game AI<\/li><li>5.2 Monte Carlo Tree Search (MCTS) for AI Agent<\/li><li>5.3 Utility-Based Decision Making for Game AI<\/li><li>5.4 AI in Real-Time Strategy (RTS) Games<\/li><li>5.5 Case Study: StarCraft II AI by DeepMind<\/li><li>5.6 Hands-On: Implement a Basic MCTS Agent for Tic-Tac-Toe Using Pygame<\/li><\/ul><h5>Module 6: AI Game Agent in 3D Virtual Environments<\/h5><ul>\n<li>6.1 3D Environment Representation and Challenges for AI Agents<\/li><li>6.2 Navigation Mesh Generation for AI Agents in 3D<\/li><li>6.3 Complex Agent Behaviors in 3D Worlds<\/li><li>6.4 Case Study: The Last of Us<\/li><li>6.5 Hands On: Develop a 3D AI Agent with Navigation and Interaction in Unity Using NavMesh and C#<\/li><\/ul><h5>Module 7: Future Trends in AI Game Design<\/h5><ul>\n<li>7.1 Current and Future AI Trends<\/li><li>7.2 The Future of Generalist AI in Gaming<\/li><li>7.3 Case Study<\/li><\/ul><h5>Module 8: Capstone Project<\/h5><ul>\n<li>8.1. Task Description<\/li><li>8.2. Practical Implementation<\/li><li>8.3. Testing and Debugging<\/li><li>8.4. Hands-on<\/li><\/ul>","summary":"<p>Empower creators with AI + Game Design Agent&trade; to craft intelligent, dynamic, and immersive gaming experiences.<\/p>\n<ul>\n<li>Comprehensive Skill Development Master AI-driven game design by integrating procedural generation, adaptive storytelling, and intelligent NPC behavior to create immersive, dynamic gaming experiences.<\/li><li>Industry Recognition Earn a globally recognized certification that highlights your expertise in blending artificial intelligence with creative game development.<\/li><li>Hands-On Learning Practice with real-world projects involving AI-based level design, character behavior modeling, and player experience optimization to sharpen your practical game design skills.<\/li><li>Career Advancement Explore opportunities in AI game development, interactive design, and simulation engineering across gaming studios, tech companies, and entertainment platforms.<\/li><li>Future-Ready Expertise Stay ahead in the next era of gaming innovation with deep knowledge of generative AI, autonomous systems, and adaptive gameplay design.<\/li><\/ul>","objective_plain":"- Next-Gen Game Creation Learn to design intelligent, adaptive games that respond dynamically to player behavior and choices.\n- Industry-Relevant Expertise Gain skills at the intersection of AI, creativity, and game design\u2014highly sought after in modern studios.\n- Hands-On Innovation Build real-world projects integrating AI-driven storytelling, procedural worlds, and smart NPC systems.\n- Career Acceleration Stand out for roles in AI game development, systems design, and creative technology leadership.\n- Future-Ready Skills Prepare for the evolving gaming landscape where AI shapes creativity, engagement, and interactive storytelling.","essentials_plain":"Basic knowledge of programming, game design fundamentals, and core mathematical concepts is recommended. Ideal for learners with an interest in AI principles, algorithmic thinking, and creative problem-solving to design intelligent, dynamic, and interactive game experiences.","audience_plain":"- Aspiring Game Designers \u2013 Perfect for those who want to integrate AI into storytelling, mechanics, and player experiences.\n- AI Enthusiasts \u2013 Ideal for learners eager to explore how AI can enhance creativity and interactivity in games.\n- Game Developers \u2013 Great for professionals aiming to build intelligent systems, adaptive gameplay, and smart NPCs.\n- Digital Artists \u2013 Excellent for creatives interested in using AI to design immersive environments and dynamic game elements.\n- Tech Entrepreneurs \u2013 Ideal for innovators looking to leverage AI in building the next generation of interactive gaming platforms.","contents_plain":"Module 1: Understanding AI Agents\n\n\n- 1.1 What are AI Agents?\n- 1.2 Agent Architectures and Environments\n- 1.3 Decision Making and Behavior Basics\n- 1.4 Introduction to Multi-Agent Systems\n- 1.5 Case Study: Pac-Man Ghost AI\n- 1.6 Hands On: Build a Basic Reactive AI Agent Navigating a Simple Environment Using Pygame\nModule 2: Introduction to AI Game Agent\n\n\n- 2.1 What is an AI Game Agent?\n- 2.2 Key Components of AI Game Agent\n- 2.3 Agent Architectures\n- 2.4 AI Game Agent Behaviors\n- 2.5 Case Study: Racing Games (e.g., Mario Kart, Forza Horizon)\n- 2.6 Hands-On: Creating a Simple Box Movement Game in Playcanvas\nModule 3: Reinforcement Learning in Game Design\n\n\n- 3.1 Basics of Reinforcement Learning\n- 3.2 Key Algorithms: Q-Learning and SARSA\n- 3.3 Applying RL to Game Agents\n- 3.4 Challenges and Solutions in Game-based RL\n- 3.5 Case Study: AlphaZero in Games: Mastering Chess, Shogi, and Go through Self-Play and Reinforcement Learning\n- 3.6 Hands On: Train a simple RL agent in OpenAI Gym environment\nModule 4: AI for NPCs and Pathfinding\n\n\n- 4.1 Understanding NPCs as AI Agents\n- 4.2 Simple AI Techniques for NPCs\n- 4.3 Pathfinding Algorithms\n- 4.4 Obstacle Avoidance and Movement Optimization\n- 4.5 Case Study\n- 4.6 Hands-On\nModule 5: AI for Strategic Decision-Making\n\n\n- 5.1 Decision Trees and Minimax for Game AI\n- 5.2 Monte Carlo Tree Search (MCTS) for AI Agent\n- 5.3 Utility-Based Decision Making for Game AI\n- 5.4 AI in Real-Time Strategy (RTS) Games\n- 5.5 Case Study: StarCraft II AI by DeepMind\n- 5.6 Hands-On: Implement a Basic MCTS Agent for Tic-Tac-Toe Using Pygame\nModule 6: AI Game Agent in 3D Virtual Environments\n\n\n- 6.1 3D Environment Representation and Challenges for AI Agents\n- 6.2 Navigation Mesh Generation for AI Agents in 3D\n- 6.3 Complex Agent Behaviors in 3D Worlds\n- 6.4 Case Study: The Last of Us\n- 6.5 Hands On: Develop a 3D AI Agent with Navigation and Interaction in Unity Using NavMesh and C#\nModule 7: Future Trends in AI Game Design\n\n\n- 7.1 Current and Future AI Trends\n- 7.2 The Future of Generalist AI in Gaming\n- 7.3 Case Study\nModule 8: Capstone Project\n\n\n- 8.1. Task Description\n- 8.2. Practical Implementation\n- 8.3. Testing and Debugging\n- 8.4. Hands-on","summary_plain":"Empower creators with AI + Game Design Agent\u2122 to craft intelligent, dynamic, and immersive gaming experiences.\n\n\n- Comprehensive Skill Development Master AI-driven game design by integrating procedural generation, adaptive storytelling, and intelligent NPC behavior to create immersive, dynamic gaming experiences.\n- Industry Recognition Earn a globally recognized certification that highlights your expertise in blending artificial intelligence with creative game development.\n- Hands-On Learning Practice with real-world projects involving AI-based level design, character behavior modeling, and player experience optimization to sharpen your practical game design skills.\n- Career Advancement Explore opportunities in AI game development, interactive design, and simulation engineering across gaming studios, tech companies, and entertainment platforms.\n- Future-Ready Expertise Stay ahead in the next era of gaming innovation with deep knowledge of generative AI, autonomous systems, and adaptive gameplay design.","version":"1.0","duration":{"unit":"d","value":1,"formatted":"1 Tag"},"pricelist":{"List Price":{"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":995},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":995},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":995},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":995},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":995}}},"lastchanged":"2026-04-01T15:53:11+02:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/json-course-schedule\/36653","source_lang":"de","source":"https:\/\/portal.flane.ch\/swisscom\/json-course\/aicerts-agamingd"}}