Module 1: AI App Architecture
Service boundaries, model routing, and infrastructure planning.
BUILDER PATH
Build AI products with robust architecture and measurable quality.
Move from prototypes to production with patterns for retrieval, evaluation, monitoring, and safe rollout.
Outcome
- Implement RAG and agentic workflows.
- Define evaluation and test harnesses.
- Deploy and monitor production AI services.
Curriculum Roadmap
Module 2: Retrieval and Context
Chunking, embeddings, indexing, and quality-aware retrieval.
Module 3: Evaluation Systems
Offline evals, online metrics, and failure mode analysis.
Module 4: Production Operations
Guardrails, observability, incident response, and iteration loops.
Recommended Builder Courses
Udemy
Generative AI Engineering: Build and Deploy
Hands-on project track for AI product builders.
View on UdemyPluralsight
MLOps and AI System Reliability
Production patterns for scaling AI services safely.
View on Pluralsight