AI Systems Design
Design systems for LLM serving, inference optimisation, and vector DB at scale.
0%
Confidence · no data yet
After this skill you can…
- Design an LLM inference cluster with vLLM
- Implement batching and caching strategies for LLM APIs
- Architect a production RAG system for millions of queries
Prerequisites
Watch (10 videos)
System Design: Notifying 50 Million Users in One Shot 🔔
→ Design AI-powered systems→ Implement scalable AI architectures
What Is Edge Computing? Explained Simply
→ Develop AI-powered edge computing applications→ Optimize edge computing systems for AI workloads
Distributed systems to AI platforms with Mark Russinovich & Ion Stoica | BRK227
→ Evolve AI infrastructure→ Develop agentic systems
NVIDIA GTC Taipei 2026 — Every Major Announcement in 8 Minutes | Best Time for Us
→ Design AI systems→ Implement AI infrastructure
32k people at Databricks Data + AI Summit 2026
→ Design AI systems→ Implement AI co-workers→ Integrate AI with data engineering
How Blended Wing Body WINGS Will Be Built
→ Apply AI to aircraft design→ Optimize BWB performance
Why Open Source AI is Gaining Traction
→ Design open source AI systems→ Mitigate platform volatility risks→ Ensure regulatory compliance
Supercharged profiling: Finding performance bugs with agents | DEM300
→ Implement AI-powered agents for diagnostics→ Optimize system performance with AI
The Factory of the Future Powered by Google Cloud
→ Leverage AI for predictive maintenance→ Implement AI-powered quality control→ Design AI-driven supply chains
The Role of AI in Chip Design (10 Minutes)
→ Implement AI-driven tools in chip design
DeepCamp AI