academy.orbii.tech
Full Program — Data, Governance & AI Training
Banking Sector · Panoramic View · March 2026
Pejman Gohari
CDO · Chief AI Officer · ORBii
pejman.gohari@orbii.tech
Completed — Full HTML chapter delivered
In Progress — Content partially developed
To Develop — Structured, not yet developed
3 tracks · 8 modules · 6 days
Banking sector training · in-house or inter-company
TRACK 01
Data Governance
& Compliance
2 days
Modules M1 + M2
Open →
MODULE M1 · 1 DAY
✓ Completed
Data Governance — Foundations & Implementation
Data strategy as a strategic asset, roles (CDO / Data Owner / Steward / DPO), data dictionary, lifecycle management, DQI quality metrics, data committee structure.
Governance Policy Data RACI Dictionary Template DQI Scorecard
Chapters delivered:
6/6 chapters
Open →
MODULE M2 · 1 DAY
✓ Completed
The Critical Importance of Governance & Regulatory Compliance
Data Lineage & regulatory challenges (DORA · EU AI Act · GDPR · NIS 2 · Basel III). GenAI & Agentic AI impact on governance. Real-world failures, warning signs, action plans.
Compliance Matrix Compliance Action Plan Documented Failures Lineage Checklist
Chapters delivered:
6/6 chapters
TRACK 02
Data Awareness
& Generative AI
2 days
Modules M3 + M4 + M5
Open →
MODULE M3 · ½ DAY
✓ Completed
Data Literacy for Business Teams
Understanding data without being a data scientist. Identifying key data within your business scope. Becoming an active contributor to data quality.
Business Data Quiz Data Owner Factsheet Case Studies
Chapters delivered:
4/4 chapters
Open →
MODULE M4 · ½ DAY
✓ Completed
Understanding AI — Demystification & Use Cases
How an LLM works (no code required). Hallucinations, bias, real limitations. Concrete banking use cases. What AI can and cannot do.
AI Use Case Grid AI Glossary Verification Checklist
Chapters delivered:
4/4 chapters
Open →
MODULE M5 · 1 DAY
✓ Completed
Responsible GenAI — Prompting, Risks & Best Practices
Structured prompting techniques. Authorized vs. prohibited data in LLMs. AI policy in practice. Shadow AI: how to prevent it. Banking use cases (synthesis, writing, analysis).
Prompt Library v1 AI Policy Template Banking Use Cases Shadow AI Checklist
Chapters delivered:
5/5 chapters
TRACK 03
Advanced AI, Ethics
& Scaling
2 days
Modules M6 + M7 + M8
Open →
MODULE M6 · ½ DAY
✓ Completed
AI Ethics & Augmented Decision-Making
Accountability for algorithmic decisions. Bias and discrimination. Right to explanation (EU AI Act). Mandatory human oversight. Credit scoring, KYC, fraud detection case studies.
AI Ethics Scorecard EU AI Act Checklist Accountability Scenarios
Chapters delivered:
4/4 chapters
Open →
MODULE M7 · 1 DAY
✓ Completed
Agentic AI — Architecture, Governance & Controlled Deployment
Understanding AI agents (MCP, A2A, orchestration). Risks specific to autonomous agents. Agent identity (OIDC-A), data perimeter, audit trail. Human-in-the-loop. Agent Policy & Catalog.
Agent Policy Template Agent Risk Scorecard Deployment Checklist Controls Matrix
Chapters delivered:
5/5 chapters
Open →
MODULE M8 · ½ DAY
✓ Completed
Data & AI Master Plan — Strategy & Scaling
Building a Data & AI roadmap for the Board. Target Operating Model (TOM) for Data-AI. Maturity assessment (5-level model). ROI and KPI-driven governance.
Data-AI TOM Template 5-Level Maturity Grid Executive Dashboard
Chapters delivered:
3/3 chapters
8
Total Modules
8
Modules Completed
0
Modules In Progress
0
Modules To Develop
37
HTML Chapters Delivered
37
A4 Pages Produced
Overall Training Progress
100% completed — 8/8 modules delivered
ORBii.Academy · Banking Sector · Data, Governance & AI Training · 2026 Confidential · Pejman Gohari · pejman.gohari@orbii.tech academy.orbii.tech