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AI Developer.
Go deeper than Level 3: production patterns, framework fluency, and the engineering discipline that ships AI applications real users depend on.
Prerequisite: Level 3Expert plan or higherSpecialization badge on completion
What you'll walk away with
- Production-grade application patterns: streaming, caching, batching
- Framework fluency across the modern AI stack
- Deployment and scaling patterns for AI workloads
Modules
01 Production patterns
- • Streaming architectures
- • Caching strategies for LLM apps
- • Batch processing economics
- • Structured output enforcement
02 The modern stack
- • Framework selection with evidence
- • Vector store operations at scale
- • Agent frameworks in production
- • Observability stack setup
03 Shipping and scaling
- • Deployment patterns for AI apps
- • Cost engineering at scale
- • Rate limit architecture
- • Multi-tenant AI design
Final project
A deployed AI application with streaming, caching, observability, and a load test report.
Recommended tools: OpenAI/Anthropic APIs, Next.js, Supabase, Vercel
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