Published Research Papers
Our instructors have contributed to peer-reviewed journals on neural networks in procedural generation and player behavior modeling since 2019.
Program Completions
Students have finished our courses between 2022 and early 2025, with many continuing in game development roles across various studios.
Industry Certifications
Team members hold credentials from Unity, Unreal Engine, AWS Machine Learning, and TensorFlow Developer programs.
Multiple Ways to Learn
Everyone absorbs information differently. We offer various formats so you can pick what fits your schedule and learning preferences.
Live Virtual Sessions
- Interactive Q&A during each session
- Small group sizes capped at 18 participants
- Screen sharing for code walkthroughs
- Recordings available for 90 days
Self-Paced Modules
- Access materials on your own timeline
- Progress tracking and completion badges
- Written tutorials alongside video content
- Monthly check-ins with mentors
Workshop Intensives
- Two-day focused sessions on specific topics
- Hands-on project builds from start to finish
- Direct feedback on your implementation
- Scheduled quarterly throughout 2025
Mentorship Program
- One-on-one sessions every two weeks
- Code reviews on your personal projects
- Career guidance and portfolio feedback
- Flexible scheduling around your commitments
Customize Your Path
Most students combine two or three learning formats. You might start with self-paced modules, join live sessions for complex topics, and add mentorship when you're building your final project. The choice depends on what works for your situation and goals.
Student Progression Examples
These stories show how students have advanced after completing our programs. Results depend on individual effort, prior experience, and market conditions.
Month 1-4
Foundation Phase
Started with basic Python and machine learning concepts. Built first neural network for simple NPC behavior patterns.
Milestone: Completed introductory modules and submitted three practice projects.
Month 1-4
Foundation Phase
Started with basic Python and machine learning concepts. Built first neural network for simple NPC behavior patterns.
Milestone: Completed introductory modules and submitted three practice projects.
Month 5-8
Practical Application
Implemented reinforcement learning for game balancing. Attended workshop on procedural content generation using GANs.
Achievement: Published working demo on GitHub that received positive feedback from peers.
Month 5-8
Practical Application
Implemented reinforcement learning for game balancing. Attended workshop on procedural content generation using GANs.
Achievement: Published working demo on GitHub that received positive feedback from peers.
Month 9-12
Portfolio Development
Created comprehensive project showcasing AI-driven enemy adaptation system. Received mentorship on code optimization.
Result: Used portfolio in job applications and received interview requests from indie studios.
Month 9-12
Portfolio Development
Created comprehensive project showcasing AI-driven enemy adaptation system. Received mentorship on code optimization.
Result: Used portfolio in job applications and received interview requests from indie studios.
Beyond Year One
Continued Growth
Joined local game dev community. Started contributing to open-source AI projects. Kept skills current through ongoing learning.
Progress: Transitioned from unrelated field into technical game development role at small studio.
Beyond Year One
Continued Growth
Joined local game dev community. Started contributing to open-source AI projects. Kept skills current through ongoing learning.
Progress: Transitioned from unrelated field into technical game development role at small studio.
Rhiannon Calderwood
Lead Program Instructor
I've been teaching AI implementation for game systems since 2018. Before education, I worked as a gameplay programmer at two mid-sized studios. My focus is helping students understand not just the theory, but the actual constraints and trade-offs you face when shipping a game. Outside teaching, I contribute to open-source tools for AI debugging in Unity.