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.
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?
This section will be rendered with full content when the page is published.
Prototype vs Production-Grade AI Projects
This section will be rendered with full content when the page is published.
Which Project Fits Your Current Engineering Background?
This section will be rendered with full content when the page is published.
Background-to-Project Matcher
Conceptual visualization — not a live computation.
Which Evidence Should Every Production AI Project Produce?
This section will be rendered with full content when the page is published.
Evidence Structure for a Production AI Portfolio Entry
This section will be rendered with full content when the page is published.
Which Projects Demonstrate MLOps Capability?
This section will be rendered with full content when the page is published.
MLOps Project Briefs
This section will be rendered with full content when the page is published.
Which Projects Demonstrate LLMOps and RAGOps Capability?
This section will be rendered with full content when the page is published.
LLMOps and RAGOps Project Briefs
This section will be rendered with full content when the page is published.
Which Projects Demonstrate AgentOps Capability?
This section will be rendered with full content when the page is published.
AgentOps Project Briefs
This section will be rendered with full content when the page is published.
Which Projects Demonstrate Platform and Reliability Capability?
This section will be rendered with full content when the page is published.
Platform and Reliability Project Briefs
This section will be rendered with full content when the page is published.
How Should Production AI Work Be Presented in a Portfolio?
This section will be rendered with full content when the page is published.
A project brief is a plan. The AIOps Course provides the guided implementation, instructor review and portfolio artefact production for each project type.
This section will be rendered with full content when the page is published.
Sources and Evidence
This section will be rendered with full content when the page is published.
- Tier 1