Microsoft

Core AI Solution Design

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Microsoft

Core AI Solution Design

 Microsoft

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Select Azure OpenAI models and design deployment configurations for multi-use-case enterprise environments.

  • Architect RAG solutions using Azure AI Search and Foundry IQ, including index design, chunking, and hybrid retrieval.

  • Design system prompt architectures and evaluation frameworks for AI quality, safety, and groundedness.

  • Evaluate fine-tuning, RAG, and prompt-only strategies, and design model routers for intelligent request routing.

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Taught in English

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Build your Cloud Computing expertise

This course is part of the Microsoft Azure AI Solutions Architect Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Microsoft

There are 2 modules in this course

Learn how to use generative AI tools to accelerate the production of architecture artifacts without compromising the judgment behind them. This module shows you how to use AI assistants to draft and critique system prompt components, generate evaluation metric definitions, representative evaluation datasets, edge-case test cases, and stress-test model selection rationale, making your architectural practice faster, more rigorous, and more defensible.

What's included

3 readings

Learners produce a portfolio-ready Core AI Solution Architecture Design document for a provided enterprise scenario, integrating Azure OpenAI model selection and deployment design, RAG retrieval and grounding architecture, system prompt architecture, evaluation framework design, and build strategy justification into a single coherent solution architecture that mirrors the output a practicing Azure AI Solutions Architect would bring to a technical design review.

What's included

3 readings

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Instructors

Microsoft
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