CBAIS: Certified Banking Artificial Intelligence (AI) Strategist

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Price
$1,295
Member Price
$1,195

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Item: SBS-CERT-CBAIS-OD

Description

Become your institution’s AI catalyst!

CBAIS equips banking professionals with the knowledge, guardrails, and practical playbooks to harness artificial intelligence responsibly and at scale. Across seven concise modules, you’ll learn the core concepts of AI in financial services, map high‑value use cases, stand up governance and risk management aligned to evolving regulations, evaluate AI‑enabled vendors, and put tools like Microsoft Copilot to work—culminating with ethics, responsible use, and exam prep. Designed as an at‑your‑own‑pace certification, CBAIS blends real‑world labs, workbooks, and guided assignments so you can move from exploration to execution with confidence.


What’s Included?

  • In‑depth learning: 7 modules with 14+ hours of guided instruction led by Jon Waldman, built specifically for financial institutions.
  • Real‑world application: 9 lab exercises and module quizzes that translate concepts into tangible deliverables you can take back to your institution.
  • Study guides & workbooks: A workbook per module to reinforce key messages and serve as your exam study companion.
  • Hands‑on GRC practice: Assignments that walk you through performing AI‑related risk work inside SBS’s TRAC platform, including building assets and generating risk reports (guided access provided in the course).
  • Self‑paced progress: Move forward immediately after each lecture, quiz, or assignment—no waiting for grading—with 70 days (10 weeks) to complete.
  • Comprehensive exam: 100‑question multiple‑choice exam, 200 minutes to complete, 80% to pass; retake options are available.
  • Instructor & Institute support: Direct instructor contact info and SBS Institute support are provided throughout the course.

Covered Topics

  • Module 1 — Intro to AI in Financial Services
    Foundations of AI (definitions, history, types), the current state of AI in banking, key threats and controls, and a survey of leading platforms (e.g., Copilot, Gemini, ChatGPT) with a hands‑on GenAI exercise.
  • Module 2 — Strategic AI Use‑Cases in Financial Services
    High‑impact applications across cybersecurity, fraud prevention, automation/analytics, software development acceleration, and content workflows—plus an assignment to build value for your FI.
  • Module 3 — AI Governance & Risk Management
    Align governance with the NIST AI RMF (Govern, Map, Measure, Manage); incorporate emerging rules such as the U.S. Executive Order on AI and the EU AI Act; define acceptable use, inventory systems and use‑cases, and embed risk assessment and oversight.
  • Module 4 — AI Vendor Risk Management
    Evaluate vendors’ AI capabilities and controls, ask the right due‑diligence questions, and integrate AI considerations into third‑party oversight.
  • Module 5 — Practical AI Implementation
    Better prompt engineering, productivity tooling, and building an AI‑enabled culture—including a capstone exercise on applying prompting and change‑management in your institution.
  • Module 6 — Leveraging Microsoft Copilot
    Security and privacy posture, Copilot across Word/Excel/Teams/PowerPoint, and Copilot Agents for workflow automation—with quiz and exercise.
  • Module 7 — Ethics, Responsible Use, Recap & Exam Prep
    Practical ethics frameworks for responsible AI adoption, a structured course recap, and focused preparation for the final exam.

CPE Credits

SBS 4.00

Learning Objectives

  • Understand the foundations of artificial intelligence and its current applications in financial services, including key platforms like Microsoft Copilot, Gemini, and ChatGPT.
  • Identify and evaluate strategic AI use cases across fraud prevention, cybersecurity, automation, and customer experience to drive value in your institution.
  • Establish AI governance and risk management frameworks aligned with evolving regulations such as the U.S. Executive Order on AI and the EU AI Act.
  • Assess and manage AI-enabled vendors by applying due diligence practices and integrating AI considerations into third-party oversight.
  • Apply ethical principles and responsible use guidelines to ensure safe, compliant, and trustworthy AI adoption within your financial institution.

Content

Introduction
Module
Module 1: Intro to AI in Financial Services
Module
Module 2: Strategic AI Use-Cases in Financial Services
Module
Module 3: AI Governance and Risk Management
Module
Module 4: AI Vendor Risk Management
Module
Module 5: Practical AI Implementation
Module
Module 6: Leveraging Microsoft Copilot
Module
Module 7: AI Ethics, Responsible AI, Pulling It All Together, and Exam Prep
Module
Final Exam
Module

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