Flagship AI architecture course
Designing Production-Ready Enterprise AI Applications
A practical architecture course for teams that need to move from GenAI prototypes to reliable applications with governance, quality metrics, privacy controls, budget discipline and operational ownership.
Production AI Design Outcomes
Participants learn how to choose the right AI pattern, design data and state boundaries, define guardrails, estimate costs and create readiness criteria before launch.
Architecture decisions
Select RAG, agentic workflows, summarization, classification or automation patterns based on the business problem.
Quality and evaluation
Define groundedness, relevance, hallucination, regression tests and user feedback loops for production quality.
Operational readiness
Plan logs, traces, monitoring, release gates, privacy, incident response, latency and cost controls.
Course Modules
Enterprise AI application patterns
Chat, RAG, agents, classification, summarization and workflow automation.
RAG architecture
Ingestion, chunking, metadata, embeddings, hybrid search, citations and freshness.
Memory and state
Conversation state, application memory, user preferences and privacy boundaries.
Guardrails and policy
Input/output controls, access control, content safety, data leakage and review gates.
Cost and performance
Token cost, caching, batching, model routing, latency and capacity planning.
Monitoring and operations
Traces, quality metrics, incident playbooks and release process design.
Capstone
Create a production design pack for an enterprise AI application, including architecture, data flow, security controls, evaluation plan and operational metrics.
Included templates
- Production AI architecture checklist
- Evaluation rubric
- Cost estimation worksheet
- AI application readiness review template
Plan A Private AI Architecture Workshop
Send your target use case, participant roles and preferred delivery window. We can tune the course around Azure OpenAI, AI Foundry, Azure AI Search, internal APIs or regulated data constraints.