Industry Programs

14 programs

Industry-Specific AI Training Programs

Corporate AI programs tailored to Banking, Healthcare, Energy, Telecom, Insurance, Manufacturing, Public sector and Fintech with sector-specific regulation and process compliance.

Domain-specific use-cases per industry, regulatory compliance (BDDK / EPDK / GDPR / HL7), labs on industry data.

Browse programs Request corporate program

Programs

2days

Avg. duration

Levels

Sub-areas

TL;DR

One-line answerIndustry AI training programs — Banking, Healthcare, Energy, Telecom, Insurance, Manufacturing, Public and Services sectors with domain-specific curriculum and compliance-aware labs.

Finance & Banking: regulated LLM apps, risk modeling, fraud, MIS, customer operations
Healthcare: HL7 FHIR + DICOM clinical decision support, clinical RAG, imaging triage, GDPR health data
Energy & Industry: SCADA + AMI, smart grid, generation forecasting, predictive maintenance, CBAM reporting, net-zero
Telecom, Insurance, Public, Services: industry-specific process optimization, customer operations, documentation

What you get

Why this category

Banking & Finance Compliance

Programs built on BDDK + SPK + Basel III + DORA frameworks.

Healthcare & Clinical AI

HL7 FHIR + DICOM + TİTCK CE-MDR + HIMSS EMRAM focused clinical AI applications.

Energy & Smart Grid

SCADA, AMI, generation forecasting, balancing market, CBAM reporting programs.

Manufacturing, Industry, Maintenance

Predictive maintenance, quality control, production planning, OEE optimization programs.

Telecom & Services

Customer operations, churn prediction, network optimization, dispatch AI.

Public Sector & Municipal

Citizen service processes, document automation, GDPR-compliant usage guides.

Catalog

Healthcare

2 / 14 programs shown

All14 Finance & Banking Healthcare Energy, Industry & Manufacturing Public, Telecom & Services

How it works

From assessment to production — Industry Programs delivery

1
1. Sector Diagnosis + Regulatory Mapping
Your sector's regulatory landscape and AI-specific challenges identified.
→
2
2. Domain Use-Case Portfolio
10-20 sector-KPI-driven use-cases assessed and prioritized.
→
3
3. Labs on Industry Data
Hands-on modules on anonymized industry datasets.
→
4
4. Pilot + Production Transition
Post-training: pilot deployment of a chosen use-case + mentor support.

Real-world examples

Use cases solved with these programs

Banking — Chatbot + RAG (Regulated)

banking

Customer chatbot compliant with audit log, prompt injection guardrails and BDDK MR framework.

Healthcare — Clinical Decision Support + Triage

healthcare

Sepsis early warning, imaging triage, clinical RAG integration healthcare AI project.

Energy — Generation Forecasting + Maintenance

energy

Wind / solar hybrid generation forecasting and transformer predictive maintenance.

Insurance — Claims Automation

insurance

Claim document OCR + LLM analysis + risk scoring + approval workflow + customer comms.

FAQ

Industry Programs — questions answered

How is regulatory compliance handled in banking AI training?

Compliance gap analysis based on BDDK Information Systems Regulation, Model Risk Management circular and SPK algorithmic trading rules. For every production model: validation document, MR framework, audit log template and continuous monitoring dashboard. The training covers Turkish regulation + European DORA + Basel III AI provisions.

What is the scope of GDPR and HL7 FHIR integration in healthcare AI training?

GDPR + Turkish KVKK special category data (health) processing + DPIA + research consent + anonymization/pseudonymization processes. EMR/HIS integration via HL7 FHIR R4, DICOM image access, clinical decision support workflow, Sepsis early warning model, patient-facing chatbot guardrails — covered from TİTCK CE-MDR AI classification + HIMSS EMRAM perspective.

How does Energy AI training relate to SCADA / AMI infrastructure?

Data ingestion from current OT systems (Modbus / IEC 61850 / OPC-UA), load forecasting via AMI smart meter data, generation forecasting (wind / solar hybrid), grid balance optimization and predictive maintenance. Regulatory reporting, balancing market, loss/theft analysis, CBAM emission reporting included. Modular for both generation and distribution companies.

What is the difference between industry training and general AI training?

General AI training teaches fundamentals; industry training is applied through sector-specific use-cases, regulation, data standards (HL7, FHIR, SCADA, FIX), risk profiles and customer behaviors. Industry programs use sector datasets in labs, sector-KPI focused curriculum, and domain experts on the instructor panel.

Can a custom program be designed if our sector isn't listed?

Yes. 8 weeks typical design: 2 weeks sector research + stakeholder interviews, 4 weeks curriculum + data prep, 2 weeks pilot + refinement. Existing designs for retail, real estate, tourism, e-commerce, logistics, defense, automotive.

Other categories