Postgraduate Certificate in AR Game AI Programming
-- viewing nowAR Game AI Programming Unlock the potential of Augmented Reality (AR) games with our Postgraduate Certificate in AR Game AI Programming. Develop intelligent game agents that interact with virtual environments, creating immersive experiences for players.
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About this course
This program is designed for game developers and AI enthusiasts looking to enhance their skills in AR game development.
Learn to integrate AI and machine learning algorithms into your AR games, enabling realistic character behavior, dynamic environments, and personalized gameplay.
Gain a deeper understanding of AR game development, AI programming, and game design, and take your career to the next level.
Explore our Postgraduate Certificate in AR Game AI Programming and discover how to bring your AR game vision to life.
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Course details
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Game Engine Programming: This unit covers the fundamentals of game engine programming, including game loops, event handling, and asset management. Students will learn how to create games using popular game engines such as Unity and Unreal Engine. •
Artificial Intelligence Fundamentals: This unit introduces students to the basics of artificial intelligence, including machine learning, natural language processing, and computer vision. Students will learn how to implement AI algorithms in game development. •
Pathfinding and Navigation: This unit focuses on pathfinding and navigation techniques used in game development, including A\* algorithm, grid-based systems, and physics-based systems. Students will learn how to implement pathfinding in 2D and 3D games. •
Behavior Trees and State Machines: This unit covers behavior trees and state machines, which are used to create complex AI behaviors in games. Students will learn how to design and implement behavior trees and state machines using C# and Unity. •
Machine Learning for Game Development: This unit explores the application of machine learning in game development, including predictive modeling, decision trees, and neural networks. Students will learn how to implement machine learning algorithms in Unity and Unreal Engine. •
Game AI Design Patterns: This unit covers game AI design patterns, including blackboard systems, planning systems, and reactive systems. Students will learn how to design and implement game AI systems using C# and Unity. •
Computer Vision for Games: This unit introduces students to computer vision techniques used in game development, including object recognition, tracking, and segmentation. Students will learn how to implement computer vision algorithms in Unity and Unreal Engine. •
Game AI Optimization Techniques: This unit focuses on optimization techniques used to improve game AI performance, including profiling, debugging, and optimization tools. Students will learn how to optimize game AI systems for better performance and efficiency. •
Human-Computer Interaction for Games: This unit explores the principles of human-computer interaction in game development, including user experience, user interface, and accessibility. Students will learn how to design and implement user-friendly interfaces in games. •
Game AI and Machine Learning for Virtual Reality: This unit covers the application of game AI and machine learning in virtual reality (VR) game development, including spatial reasoning, object recognition, and motion prediction. Students will learn how to implement game AI and machine learning algorithms in VR games using Unity and Unreal Engine.
Game Engine Programming: This unit covers the fundamentals of game engine programming, including game loops, event handling, and asset management. Students will learn how to create games using popular game engines such as Unity and Unreal Engine. •
Artificial Intelligence Fundamentals: This unit introduces students to the basics of artificial intelligence, including machine learning, natural language processing, and computer vision. Students will learn how to implement AI algorithms in game development. •
Pathfinding and Navigation: This unit focuses on pathfinding and navigation techniques used in game development, including A\* algorithm, grid-based systems, and physics-based systems. Students will learn how to implement pathfinding in 2D and 3D games. •
Behavior Trees and State Machines: This unit covers behavior trees and state machines, which are used to create complex AI behaviors in games. Students will learn how to design and implement behavior trees and state machines using C# and Unity. •
Machine Learning for Game Development: This unit explores the application of machine learning in game development, including predictive modeling, decision trees, and neural networks. Students will learn how to implement machine learning algorithms in Unity and Unreal Engine. •
Game AI Design Patterns: This unit covers game AI design patterns, including blackboard systems, planning systems, and reactive systems. Students will learn how to design and implement game AI systems using C# and Unity. •
Computer Vision for Games: This unit introduces students to computer vision techniques used in game development, including object recognition, tracking, and segmentation. Students will learn how to implement computer vision algorithms in Unity and Unreal Engine. •
Game AI Optimization Techniques: This unit focuses on optimization techniques used to improve game AI performance, including profiling, debugging, and optimization tools. Students will learn how to optimize game AI systems for better performance and efficiency. •
Human-Computer Interaction for Games: This unit explores the principles of human-computer interaction in game development, including user experience, user interface, and accessibility. Students will learn how to design and implement user-friendly interfaces in games. •
Game AI and Machine Learning for Virtual Reality: This unit covers the application of game AI and machine learning in virtual reality (VR) game development, including spatial reasoning, object recognition, and motion prediction. Students will learn how to implement game AI and machine learning algorithms in VR games using Unity and Unreal Engine.
Career path
| **Game AI Programming** | Develops intelligent systems that enable games to make decisions and adapt to player behavior. |
|---|---|
| **Artificial Intelligence** | Designs and develops intelligent systems that can perform tasks that typically require human intelligence. |
| **Machine Learning** | Enables systems to learn from data and improve their performance over time without being explicitly programmed. |
| **Computer Vision** | Develops algorithms that enable computers to interpret and understand visual data from images and videos. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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POSTGRADUATE CERTIFICATE IN AR GAME AI PROGRAMMING
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who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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