PROJECT GUIDE · PRODUCTION AI

Production AI Projects That Demonstrate Operational Engineering

Six to eight project briefs that prove you can deploy, observe, secure and recover AI systems — not just train models.

Cluster
aiops
Owner Course
/courses/aiops-course
Updated
7 September 2026
Type
project-guide
Direct Answer

A production AI project demonstrates operational engineering capability: deployment, observability, reliability, governance and incident response. Each brief defines a problem, system, architecture boundary, injected failure, metrics, acceptance criteria, operational artefact, portfolio evidence and related course module. The projects span MLOps, LLMOps, RAGOps, AgentOps and platform reliability — matching the roles a production AI engineer is expected to fill.

What Makes an AI Project Production Grade?

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Prototype vs Production-Grade AI Projects

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Which Project Fits Your Current Engineering Background?

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Background-to-Project Matcher

Interactive · ProjectAndSkillMatcher
Background-to-Project Matcher
Select your engineering background to see the recommended production AI project, the skills gap and the evidence you should produce. Background selection — configured rules per background; no computation. All project briefs and skills transfer tables are in SSR HTML.
Input: Data scientist
Input: ML engineer
Input: DevOps/SRE
Input: Backend engineer
Input: LLM engineer
Input: Platform engineer
Expected Outputs
Recommended project
Skills gap
Evidence required

Conceptual visualization — not a live computation.

Which Evidence Should Every Production AI Project Produce?

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Evidence Structure for a Production AI Portfolio Entry

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Which Projects Demonstrate MLOps Capability?

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MLOps Project Briefs

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Which Projects Demonstrate LLMOps and RAGOps Capability?

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LLMOps and RAGOps Project Briefs

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Which Projects Demonstrate AgentOps Capability?

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AgentOps Project Briefs

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Which Projects Demonstrate Platform and Reliability Capability?

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Platform and Reliability Project Briefs

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How Should Production AI Work Be Presented in a Portfolio?

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A project brief is a plan. The AIOps Course provides the guided implementation, instructor review and portfolio artefact production for each project type.

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Sources and Evidence

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Sources and technical review
Last reviewed: 7 September 2026
Technical review: School of Core AI editorial team