AITE-SAT — AI Solutions Architect Expert

Articles in this module

1. 1
   The Enterprise AI Reference Architecture

   ADV · M1.1-Art01
2. 2
   Model Selection Decision Framework

   ADV · M1.1-Art02
3. 3
   Prompt Architecture: Templates, Versioning, Injection Defense

   ADV · M1.1-Art03
4. 4
   Retrieval-Augmented Generation: When, Why, How Much

   ADV · M1.1-Art04
5. 5
   Chunking and Embedding Strategy

   ADV · M1.1-Art05
6. 6
   Vector Stores: Selection, Hybrid Retrieval, and Reranking

   ADV · M1.1-Art06
7. 7
   Tool Use, Function Calling, and Agent Loops

   ADV · M1.1-Art07
8. 8
   Model Serving Patterns and Inference Paths

   ADV · M1.1-Art08
9. 9
   Inference Cost Architecture: Caching, Routing, and Distillation

   ADV · M1.1-Art09
10. 10
    Fine-Tuning Decision Tree: RAG → Few-Shot → PEFT → Full Fine-Tune

    ADV · M1.1-Art10
11. 11
    Evaluation Architecture: Offline, Online, and Human

    ADV · M1.1-Art11
12. 12
    LLM-as-Judge and Human Review Pipelines

    ADV · M1.1-Art12
13. 13
    Observability for AI Applications

    ADV · M1.1-Art13
14. 14
    Security Architecture for AI Applications

    ADV · M1.1-Art14
15. 15
    Data Pipeline Architecture for AI

    ADV · M1.1-Art15
16. 16
    Multi-Tenancy in AI Systems

    ADV · M1.1-Art16
17. 17
    Latency, Cost, and Scalability Architecture

    ADV · M1.1-Art17
18. 18
    Deployment Topology and Data Residency

    ADV · M1.1-Art18
19. 19
    Environment Promotion and Change Management

    ADV · M1.1-Art19
20. 20
    SLO, SLI, and Incident Response for AI

    ADV · M1.1-Art20
21. 21
    Model, Prompt, and Index Registries

    ADV · M1.1-Art21
22. 22
    Regulatory Mapping — EU AI Act Articles 9-15 for Architects

    ADV · M1.1-Art22
23. 23
    Architecture Decision Records and Documentation

    ADV · M1.1-Art23
24. 24
    Architecture Runway: Building the AI Platform

    ADV · M1.1-Art24
25. 25
    Legacy Integration: Calling AI from CRM, ERP, EHR, Mainframe

    ADV · M1.1-Art25
26. 26
    Build vs. Buy vs. Integrate

    ADV · M1.1-Art26
27. 27
    Multimodal Architecture: Vision, Audio, Document

    ADV · M1.1-Art27
28. 28
    Architecture Review Gate: Calibrate and Organize Stages

    ADV · M1.1-Art28
29. 29
    Architecture Review Gate: Model and Produce Stages

    ADV · M1.1-Art29
30. 30
    Architecture Review Gate: Evaluate and Learn Stages

    ADV · M1.1-Art30
31. 31
    Responsible-AI Architecture Patterns

    ADV · M1.1-Art31
32. 32
    Architecture for Agentic Use Cases

    ADV · M1.1-Art32
33. 33
    Cost Model and FinOps for AI

    ADV · M1.1-Art33
34. 34
    Architecture Handoff and Operating Model

    ADV · M1.1-Art34
35. 35
    Capstone: A Complete Reference Architecture Package

    ADV · M1.1-Art35
36. 51
    Lab 01: Design a RAG Reference Architecture for a Regulated Internal Knowledge Assistant

    ADV · M1.1-Art51
37. 52
    Lab 02: Build an LLM Evaluation Harness with Offline, Online, and Human Components

    ADV · M1.1-Art52
38. 53
    Lab 03: Architect an Agentic Trading-Desk Assistant with Safety and Observability

    ADV · M1.1-Art53
39. 54
    Lab 04: Design a Secure LLM Gateway with a Policy Engine

    ADV · M1.1-Art54
40. 55
    Lab 05: Red-Team a Production LLM Feature Using the OWASP LLM Top 10

    ADV · M1.1-Art55
41. 61
    Case Study: Morgan Stanley Wealth Management and the Internal-Assistant Rollout

    ADV · M1.1-Art61
42. 62
    Case Study: BloombergGPT and the Domain-Specific Fine-Tune Decision

    ADV · M1.1-Art62
43. 63
    Case Study: Harvey AI and the Legal Enterprise Deployment

    ADV · M1.1-Art63
44. 71
    Artifact Template: AI Solution Architecture Design Document

    ADV · M1.1-Art71
45. 72
    Artifact Template: LLM Evaluation Harness Specification

    ADV · M1.1-Art72
46. 73
    Artifact Template: RAG Data Contract

    ADV · M1.1-Art73
47. 74
    Artifact Template: LLM Gateway Policy

    ADV · M1.1-Art74
48. 75
    Artifact Template: Agentic Runtime SLO and SLI Sheet

    ADV · M1.1-Art75