FDTEC Blog — Tech + Healthcare Careers
Guides, career playbooks, funding tips, and employer-ready skills across **Data, A.I., Cybersecurity**, and **Healthcare IT**. All articles are written for outcomes—projects, certifications, and jobs.
Why Tech + Healthcare Tracks Win: Stability, Pay, and Purpose
A side-by-side comparison of standalone tech roles vs. health-tech roles—and how HIPAA, EHR, and compliance skills boost outcomes without abandoning Data/AI/Cyber fundamentals.
Healthcare Data Analyst: What to Learn (PL-300, SQL, EHR)
The practical learning path for analytics inside hospitals and payers: dashboards, storytelling, basic HL7/FHIR literacy, and HIPAA-aware portfolio artifacts.
From SOC to Health-Tech: SC-200 + HIPAA/NIST for Real IR
How to translate SOC analyst skills into HIPAA-aligned incident response with KQL detections, runbooks, and audit-ready documentation.
Azure AI in Regulated Environments: RAG, Eval, and Privacy
What changes when you build AI for health systems? Governance, PHI-aware patterns, evaluation, and decision trails that stand up to audits.
Power BI to Portfolio: PL-300 Projects That Get Interviews
Three portfolio-ready artifacts and the narrative to present them. What hiring managers listen for—and what they don’t.
From Prompting to AI-102: A Practical Azure AI Path
A focused roadmap from AI-900 foundations to AI-102 solution design with evaluation and guardrails.
SOC Analyst Skills Map: From Tier I to Tier III
The KQL, detections, IR artifacts, and soft-skills that move you up the ladder—plus a mock interview outline.
Using Ohio TechCred (and KY Workforce) for Upskilling
Who qualifies, timelines, and how we help you assemble the strongest application—step by step.
Clinical Informatics vs. Healthcare Data: Which Path Fits?
Compare workflows, tools, certifications, and day-to-day tasks so you can choose the fastest path to value.
Portfolio Sprint: Dashboard + RAG Demo in 14 Days
A 2-week build that produces a hiring-manager-ready dashboard and a documented RAG demo with evaluation notes.
Write Detections That Matter: A Practical KQL Primer
From noisy rules to signal: structure, baselining, and a repeatable review loop that improves SOC outcomes.