Learning Lab Course
Review prototypeAI Automation Technology Platform Course Overview
A self-paced course for evaluating AI automation platform choices by architecture, integration fit, data requirements, cost, and long-term flexibility.
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0%Platform Categories and Architecture
Recognize the technology categories that make up an AI automation environment.
Open module Module 2Why Platform Decisions Go Wrong
Spot the assumptions that create expensive platform regret.
Open module Module 3Mapping Systems and Integrations
Document the systems, flows, and fallback paths a platform must support.
Open module Module 4Build, Buy, or Hybrid
Select a sourcing model that fits the workflow and operating environment.
Open module Module 5Data Platform and Architecture Requirements
Assess whether the data environment can support the proposed platform.
Open module Module 6Evaluating and Scoring Platform Options
Score options against operating requirements rather than vendor claims.
Open module Module 7Platform Operations, Cost, and Improvement
Plan the operating model before the platform reaches production.
Open module Module 8When to Go Custom
Decide when a custom AI system is justified.
Open module Module 9The Platform Architecture Brief
Create a concise, decision-ready technology recommendation.
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