Unity Shader Programming: Create & Optimize

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Unity Shader Programming: Create & Optimize

Coursera · Advanced ·🔍 RAG & Vector Search ·1mo ago
By the end of this course, learners will be able to design custom shaders, implement realistic lighting models, optimize performance, and apply advanced screen effects in Unity. They will master vertex and fragment shaders, create water, glass, and holographic effects, and build advanced shaders such as fur and heat maps. This comprehensive course takes you from shader fundamentals to advanced rendering, guiding you through essential shader properties, variables, and texture applications. You will explore Unity’s built-in lighting models, implement custom shading such as Phong and Blinn-Phong, and integrate global illumination with reflection and light probes for realism. Through hands-on projects, you will animate vertices, simulate snow and explosions, and craft dynamic screen-space effects including film grain, blend modes, and night vision. What makes this course unique is its structured balance of theory and practice, combining shader optimization with advanced creative effects. Whether you are building games, simulations, or immersive experiences, this course equips you with the technical depth and creative control to push Unity’s graphics capabilities further.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

When Should You Use Text2Cypher in a GraphRAG Pipeline
Learn when to use Text2Cypher in a GraphRAG pipeline to retrieve precise graph results from natural language questions
Dev.to AI
How to build a production RAG pipeline in Python (without a vector database)
Learn to build a production-ready RAG pipeline in Python without relying on a vector database, and understand the key considerations for a scalable and efficient implementation
Dev.to · Ayi NEDJIMI
Architecting Sub-150ms Hybrid RAG for Voice Agents: Combining pgvector, BM25, and Async FastAPI…
Learn how to architect a sub-150ms hybrid RAG for voice agents using pgvector, BM25, and Async FastAPI to serve large industrial catalogs
Medium · Python
Security Controls in Enterprise RAG: Keys, Audit Logs, and the Hierarchy That Prevents Role Elevation
Implement security controls in Enterprise RAG to prevent role elevation and ensure data integrity
Dev.to · Manjunath
Up next
Watch this before applying for jobs as a developer.
Tech With Tim
Watch →