Anthropic Ecosystem

Claude 3.5 Sonnet systems

Master production-grade prompt caching, structured XML context pipelines, and autonomous agent swarms engineered for high-throughput enterprise deployments.

Curriculum Modules

Four engineering milestones

01
02
03
04

Prompt Caching Architecture

Model Context Protocol

Computer Use Agents

Automated Evaluation Chains

Implement 5-minute cache TTLs and prefix optimization across 200k token windows to slash API latency by eighty percent.

Build custom MCP servers exposing PostgreSQL databases, internal filesystem endpoints, and authenticated REST APIs directly to Claude.

Deploy autonomous desktop loops that execute complex multi-step web navigation, graphical interface parsing, and resilient error recovery.

Construct synthetic benchmark suites measuring tool call precision, schema fidelity, and task completion across Sonnet and Haiku fleets.

System Resilience

Production agent loops

Fragile single-prompt chains fail in enterprise settings. We teach stateful orchestration architectures that pair Sonnet reasoning engines with lightweight Haiku triage workers, complete with programmatic validation checkpoints.

Every student provisions automated fallback pipelines handling rate limits, model degradation, and schema drift before deploying to staging environments in week two.

Upcoming cohort intake

Limited to twenty-four vetted engineers and growth leads per session. Full syllabus access provisions upon enrollment.