Courses Agentic AI Architecture

Agentic AI Architecture

Agentic AI Architektur

Design production-ready AI agent systems: layer models, deployment patterns, 11 real-world use cases, and the interactive architecture builder.

architect 2-3 hours Architecture Start Course →

Course Sections

1

What is Agentic AI?

20 min

Definition, taxonomy (single vs. multi-agent, frontend vs. backend), and the evolution from chatbot to agent.

Agent definitionSingle vs. multi-agentFrontend vs. backend agentsLLM → Agent evolutionMCP protocol
2

Layer Models Comparison

25 min

Four industry layer models compared — different abstractions, same building blocks.

Boomi modelVendia LAMP stackMezmo AURA frameworkWorkshop 5-layer modelCore building blocks
3

11 Real-World Use Cases

30 min

From coding assistants to CVE auto-patching — interactive architecture diagrams for each.

Local: Coding Assistant, Docs AgentRemote: Code Review, Customer Chatbot, Voice AgentRemote: Ticket Automation, Knowledge Agent, Data PipelineHeadless: CVE Patching, Anomaly Detection, System Health
4

3 Paths to the Goal

15 min

Build yourself, let the agent build, or make the agent the backend — tradeoffs and decision framework.

Traditional developmentAgent-assisted developmentAgent-as-backendEffort redistributionDecision criteria
5

Agent Resilience & Testing

20 min

Can 100k requests yield identical results? Determinism, model updates, and production monitoring.

Determinism challengesModel update impactFunctional testingMonitoring strategiesFallback patterns

What You'll Learn

  • Compare layer models: Boomi, Vendia LAMP, Mezmo AURA, Workshop model
  • Design agent architectures for 11 real-world use cases
  • Understand deployment zones: local, on-prem, cloud, SaaS
  • Evaluate agent resilience: determinism, model updates, testing
  • Choose between "build yourself", "agent builds", and "agent IS the backend"
  • Understand MCP (Model Context Protocol) for agent tool integration

Prerequisites

  • Software architecture experience
  • Understanding of APIs and microservices
  • Completed "AI Fundamentals" or equivalent knowledge

Course Info

Level architect
Duration 2-3 hours
Sections 5
Languages EN + DE
Category Architecture

🇩🇪 Dieser Kurs ist auch auf Deutsch verfügbar: Agentic AI Architektur