AI Architecture Decision Workbook
Produce evidence-backed architecture decisions for model access context tools state evaluation security and operations.
Project-based learning
Produce architecture decisions, system designs, evaluation evidence, operating plans, and exportable project records against explicit acceptance criteria.
7
projects

Produce evidence-backed architecture decisions for model access context tools state evaluation security and operations.
Design three constrained AI systems and defend boundaries data flows failure handling evaluation and operating choices.
Specify an evidence-carrying RAG system from source onboarding and indexing through retrieval citations evaluation and operations.
Design a bounded agent with typed tools observable state recovery budgets approvals adversarial tests and incident controls.
Build the evaluation architecture that converts product goals risks and production feedback into trustworthy release decisions.
Optimize an inference service against workload quality tail-latency throughput reliability capacity and unit-economic constraints.
Design and verify an autonomous treasury management AI agent that monitors oracle metrics, runs policy engine checks, simulates transactions, requests operator approval above spending thresholds, and executes non-custodial rebalances via an ERC-4337/EIP-7702 smart account with ZK execution verification.