Phase 1 MVP
Build career momentum with visible, repeatable progress.
Single-user private mode
Learning Path
AI Deployment and MLOps
Make AI systems operable beyond the first successful demo.
0% complete
advanced · 18 hours
Lesson 1
Deployment shapes for AI products
Compare monolith APIs, workers, queues, and evaluation jobs.
Lesson 2
Secrets, environments, and provider configuration
Manage credentials, feature flags, and environment drift safely.
Lesson 3
Caching and throughput management
Use caching where it reduces cost without hiding bugs.
Lesson 4
Scheduled jobs and background processing
Separate user-facing APIs from indexing, evaluation, and ingestion work.
Lesson 5
Portfolio slice: deployable AI service
Show that your project survives outside localhost.