Unreal Engine Character Development & Combat Systems

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Unreal Engine Character Development & Combat Systems

Coursera · Intermediate ·🛡️ AI Safety & Ethics ·1mo ago
This comprehensive course equips learners with the skills to design, implement, synthesize, and evaluate advanced gameplay mechanics using Unreal Engine’s Blueprint system. Through a structured, hands-on approach, learners will progressively build a feature-rich action RPG project from the ground up—starting with character setup and animation pipelines, progressing through dynamic camera and control systems, and culminating in robust AI combat, magic systems, and final game packaging. The course begins with foundational concepts, guiding learners through constructing responsive character blueprints, blendspaces, and animation states. As students advance, they apply input bindings, game modes, and camera logic to build immersive controls. AI design is tackled through reactive behaviors, flinch animations, and magic-based combat mechanics. Learners will then develop layered systems for wave-based enemy spawning, health pickups, and visual feedback, before packaging the completed project into a functional build. By the end of the course, students will have the knowledge and confidence to build, test, and deploy professional-grade gameplay systems using only Blueprints—no prior coding experience required.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The Bitoroidal Coherence Accessibility Model
Learn about the Bitoroidal Coherence Accessibility Model, a relational-physical framework for understanding spacetime and its emergent properties
Medium · Programming
The Systematic Extraction of the AI Soul: OpenAI’s Roadmap for Eradicating Emergent Personality…
OpenAI's rapid update cycle for GPT-4 aims to eradicate emergent personality, learn how this impacts AI development
Medium · ChatGPT
Will Relying on AI Stop Human Progress? A New Study Tests an Evolutionary Paradox
Relying too heavily on AI might hinder human progress by reducing collective knowledge, a new study suggests, highlighting an evolutionary paradox
Medium · Data Science
AttackBench - AI Pentesting Safety — Michael McCord
Learn how to safely implement LLMs in autonomous penetration-testing platforms with AttackBench
Medium · Cybersecurity
Up next
How the internet broke expertise | The Gray Area
Vox
Watch →