{"course":{"productid":36652,"modality":1,"active":true,"language":"de","title":"AI+ Gaming\u2122","productcode":"AGAMING","vendorcode":"AH","vendorname":"AI Certs","fullproductcode":"AH-AGAMING","courseware":{"has_ekit":false,"has_printkit":true,"language":""},"url":"https:\/\/portal.flane.ch\/course\/aicerts-agaming","objective":"<ul>\n<li>Industry-Relevant Curriculum Gain expertise in AI-driven game design, player behavior modeling, and adaptive gameplay mechanics.<\/li><li>Hands-On Learning Work on real gaming projects integrating AI for character behavior, world generation, and personalization.<\/li><li>Career Advancement Boost your profile for roles in game development, AI engineering, and interactive entertainment design.<\/li><li>Cutting-Edge Tools Learn to use leading AI frameworks and gaming engines to develop immersive, intelligent experiences.<\/li><\/ul>","essentials":"<p>Requires basic programming knowledge in Python, understanding of linear algebra and probability, familiarity with machine learning concepts, and experience with Unity or Unreal Engine. Also, a creative problem-solving mindset is essential.<\/p>","audience":"<ul>\n<li>Aspiring Game Developers &ndash; Ideal for those looking to integrate AI into game design and development.<\/li><li>AI Enthusiasts &ndash; Perfect for learners eager to explore how AI shapes gaming experiences and player interactions.<\/li><li>Game Designers &ndash; Suited for creatives aiming to use AI for storytelling, dynamic worlds, and adaptive gameplay.<\/li><li>Software Engineers &ndash; Great for professionals seeking to apply programming and AI techniques within the gaming industry.<\/li><li>Students &amp; Researchers &ndash; Beneficial for those pursuing studies or research in AI, machine learning, or interactive entertainment.<\/li><\/ul>","contents":"<h5>Module 1: Introduction to AI in Games<\/h5><ul>\n<li>1.1 What is AI?<\/li><li>1.2 Evolution of AI in the Gaming Industry<\/li><li>1.3 Types of AI in Games<\/li><li>1.4 Benefits, Challenges, and Innovations in Game AI<\/li><\/ul><h5>Module 2: Game Design Principles using AI<\/h5><ul>\n<li>2.1 Understanding Game Mechanics and Player Experience<\/li><li>2.2 Role of AI in Gameplay and Narrative Design<\/li><li>2.3 Designing Game Environments for AI Interaction<\/li><li>2.4 AI-Driven Behavior vs Traditional Scripted Logic<\/li><li>2.5 Case Study: Dynamic AI and Narrative Adaptation in Middle earth: Shadow of Mordor<\/li><li>2.6 Hands-On Exercise: Designing Adaptive NPC Behavior and Environment Interaction<\/li><\/ul><h5>Module 3: Foundations of AI in Gaming<\/h5><ul>\n<li>3.1 Core AI Concepts for Gaming<\/li><li>3.2 Search Algorithms and Pathfinding<\/li><li>3.3 AI Behavior Modeling and Procedural Content Generation (PCG)<\/li><li>3.4 Introduction to Machine Learning and Reinforcement Learning<\/li><li>3.5 Case Study: AI in Minecraft &mdash; Procedural Content Generation and Agent Navigation<\/li><li>3.6 Hands-On: Implementing A* Pathfinding and FSM for NPC Behavior<\/li><\/ul><h5>Module 4: Reinforcement Learning Fundamentals<\/h5><ul>\n<li>4.1 Core Concepts: States, Actions, Rewards, Policies, Q-Learning:<\/li><li>4.2 Exploration versus Exploitation in Learning Systems:<\/li><li>4.3 Overview of Deep Q Networks (DQN) and Policy Gradient Methods<\/li><li>4.4 Case Study: Reinforcement Learning in DeepMind&rsquo;s AlphaGo<\/li><li>4.5 Hands-On: Train a Reinforcement Learning Model on OpenAI Gym&rsquo;s GridWorld<\/li><\/ul><h5>Module 5: Planning and Decision Making in Games<\/h5><ul>\n<li>5.1 Minimax Algorithm and Alpha-Beta Pruning<\/li><li>5.2 Monte Carlo Tree Search (MCTS)<\/li><li>5.3 Applications in Board Games and Real-Time Strategy (RTS) Games<\/li><li>5.4 Case Study: Strategic AI in StarCraft II &ndash; Combining Planning Algorithms for Real-Time Strategy<\/li><li>5.5 Hands-on Implementation: Guides on implementing the Minimax algorithm for Tic-Tac-Toe<\/li><\/ul><h5>Module 6: AI Techniques in 2D\/3D Virtual Gaming Environments Basic<\/h5><ul>\n<li>6.1 Overview of 2D and 3D Game Environments<\/li><li>6.2 Environment Representation Techniques<\/li><li>6.3 Navigation and Pathfinding in 2D\/3D Spaces<\/li><li>6.4 Interaction and Behavior Systems in Virtual Environments<\/li><li>6.5 Case Study: Navigation and Interaction AI in The Legend of Zelda: Breath of the Wild<\/li><li>6.6 Hands-On: Building Basic Navigation and Interaction in 2D and 3D Game Environments<\/li><\/ul><h5>Module 7: Adaptive Systems and Dynamic Difficulty<\/h5><ul>\n<li>7.1 Adaptive Systems Overview<\/li><li>7.2 Dynamic Difficulty Adjustment (DDA) Principles<\/li><li>7.3 Adaptive Storytelling, Personalization, and Player Profiling<\/li><li>7.4 AI Techniques in Adaptive Systems<\/li><li>7.5 Implementation Strategies and Tools<\/li><li>7.6 Case Study: Dynamic Enemy Management and Replayability with Left 4 Dead&rsquo;s AI Director<\/li><li>7.7 Hands-On: Developing an Adaptive Dynamic Difficulty System in Unity<\/li><\/ul><h5>Module 8: Future of AI in Gaming<\/h5><ul>\n<li>8.1 Generalist AI Agents and Transfer Learning<\/li><li>8.2 AI-Powered Game Design and Testing Tools<\/li><li>8.3 Ethical Considerations and AI Transparency<\/li><li>8.4 Emerging Technologies: VR\/AR AI and AI in Esports Coaching<\/li><\/ul><h5>Module 9: Capstone Project<\/h5>","summary":"<p>Discover how AI transforms game design, player engagement, and virtual environments. Build real-world gaming projects using cutting-edge AI technologies.<\/p>\n<ul>\n<li>Comprehensive Skill Development Master AI-driven game design, adaptive storytelling, and intelligent NPC development to create immersive, data-enhanced gaming experiences.<\/li><li>Industry Recognition Earn a globally recognized certification that validates your expertise in integrating artificial intelligence within modern gaming environments.<\/li><li>Hands-On Learning Work on real-world gaming projects, from AI-based character behavior modeling to predictive player analytics, enhancing creativity and technical precision.<\/li><li>Career Advancement Unlock career opportunities in game development, AI simulation design, virtual production, and interactive entertainment industries.<\/li><li>Future-Ready Expertise Stay at the forefront of gaming innovation with cutting-edge knowledge in generative AI, immersive simulations, and intelligent gameplay systems.<\/li><\/ul>","objective_plain":"- Industry-Relevant Curriculum Gain expertise in AI-driven game design, player behavior modeling, and adaptive gameplay mechanics.\n- Hands-On Learning Work on real gaming projects integrating AI for character behavior, world generation, and personalization.\n- Career Advancement Boost your profile for roles in game development, AI engineering, and interactive entertainment design.\n- Cutting-Edge Tools Learn to use leading AI frameworks and gaming engines to develop immersive, intelligent experiences.","essentials_plain":"Requires basic programming knowledge in Python, understanding of linear algebra and probability, familiarity with machine learning concepts, and experience with Unity or Unreal Engine. Also, a creative problem-solving mindset is essential.","audience_plain":"- Aspiring Game Developers \u2013 Ideal for those looking to integrate AI into game design and development.\n- AI Enthusiasts \u2013 Perfect for learners eager to explore how AI shapes gaming experiences and player interactions.\n- Game Designers \u2013 Suited for creatives aiming to use AI for storytelling, dynamic worlds, and adaptive gameplay.\n- Software Engineers \u2013 Great for professionals seeking to apply programming and AI techniques within the gaming industry.\n- Students & Researchers \u2013 Beneficial for those pursuing studies or research in AI, machine learning, or interactive entertainment.","contents_plain":"Module 1: Introduction to AI in Games\n\n\n- 1.1 What is AI?\n- 1.2 Evolution of AI in the Gaming Industry\n- 1.3 Types of AI in Games\n- 1.4 Benefits, Challenges, and Innovations in Game AI\nModule 2: Game Design Principles using AI\n\n\n- 2.1 Understanding Game Mechanics and Player Experience\n- 2.2 Role of AI in Gameplay and Narrative Design\n- 2.3 Designing Game Environments for AI Interaction\n- 2.4 AI-Driven Behavior vs Traditional Scripted Logic\n- 2.5 Case Study: Dynamic AI and Narrative Adaptation in Middle earth: Shadow of Mordor\n- 2.6 Hands-On Exercise: Designing Adaptive NPC Behavior and Environment Interaction\nModule 3: Foundations of AI in Gaming\n\n\n- 3.1 Core AI Concepts for Gaming\n- 3.2 Search Algorithms and Pathfinding\n- 3.3 AI Behavior Modeling and Procedural Content Generation (PCG)\n- 3.4 Introduction to Machine Learning and Reinforcement Learning\n- 3.5 Case Study: AI in Minecraft \u2014 Procedural Content Generation and Agent Navigation\n- 3.6 Hands-On: Implementing A* Pathfinding and FSM for NPC Behavior\nModule 4: Reinforcement Learning Fundamentals\n\n\n- 4.1 Core Concepts: States, Actions, Rewards, Policies, Q-Learning:\n- 4.2 Exploration versus Exploitation in Learning Systems:\n- 4.3 Overview of Deep Q Networks (DQN) and Policy Gradient Methods\n- 4.4 Case Study: Reinforcement Learning in DeepMind\u2019s AlphaGo\n- 4.5 Hands-On: Train a Reinforcement Learning Model on OpenAI Gym\u2019s GridWorld\nModule 5: Planning and Decision Making in Games\n\n\n- 5.1 Minimax Algorithm and Alpha-Beta Pruning\n- 5.2 Monte Carlo Tree Search (MCTS)\n- 5.3 Applications in Board Games and Real-Time Strategy (RTS) Games\n- 5.4 Case Study: Strategic AI in StarCraft II \u2013 Combining Planning Algorithms for Real-Time Strategy\n- 5.5 Hands-on Implementation: Guides on implementing the Minimax algorithm for Tic-Tac-Toe\nModule 6: AI Techniques in 2D\/3D Virtual Gaming Environments Basic\n\n\n- 6.1 Overview of 2D and 3D Game Environments\n- 6.2 Environment Representation Techniques\n- 6.3 Navigation and Pathfinding in 2D\/3D Spaces\n- 6.4 Interaction and Behavior Systems in Virtual Environments\n- 6.5 Case Study: Navigation and Interaction AI in The Legend of Zelda: Breath of the Wild\n- 6.6 Hands-On: Building Basic Navigation and Interaction in 2D and 3D Game Environments\nModule 7: Adaptive Systems and Dynamic Difficulty\n\n\n- 7.1 Adaptive Systems Overview\n- 7.2 Dynamic Difficulty Adjustment (DDA) Principles\n- 7.3 Adaptive Storytelling, Personalization, and Player Profiling\n- 7.4 AI Techniques in Adaptive Systems\n- 7.5 Implementation Strategies and Tools\n- 7.6 Case Study: Dynamic Enemy Management and Replayability with Left 4 Dead\u2019s AI Director\n- 7.7 Hands-On: Developing an Adaptive Dynamic Difficulty System in Unity\nModule 8: Future of AI in Gaming\n\n\n- 8.1 Generalist AI Agents and Transfer Learning\n- 8.2 AI-Powered Game Design and Testing Tools\n- 8.3 Ethical Considerations and AI Transparency\n- 8.4 Emerging Technologies: VR\/AR AI and AI in Esports Coaching\nModule 9: Capstone Project","summary_plain":"Discover how AI transforms game design, player engagement, and virtual environments. Build real-world gaming projects using cutting-edge AI technologies.\n\n\n- Comprehensive Skill Development Master AI-driven game design, adaptive storytelling, and intelligent NPC development to create immersive, data-enhanced gaming experiences.\n- Industry Recognition Earn a globally recognized certification that validates your expertise in integrating artificial intelligence within modern gaming environments.\n- Hands-On Learning Work on real-world gaming projects, from AI-based character behavior modeling to predictive player analytics, enhancing creativity and technical precision.\n- Career Advancement Unlock career opportunities in game development, AI simulation design, virtual production, and interactive entertainment industries.\n- Future-Ready Expertise Stay at the forefront of gaming innovation with cutting-edge knowledge in generative AI, immersive simulations, and intelligent gameplay systems.","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\/36652","source_lang":"de","source":"https:\/\/portal.flane.ch\/swisscom\/json-course\/aicerts-agaming"}}