AI Governance and Risk Management

AI Governance and Risk Management

Build ethical, compliant, and future-ready AI frameworks that scale with innovation.

The AI Governance & Risk Management course equips executive leaders with the practical strategies needed to oversee responsible AI deployment across the organization. Rather than exploring AI tools, this course focuses on regulatory alignment, ethical guidelines, and risk mitigation, giving you the clarity and confidence to balance innovation with accountability.

This course is the second requirement in the W3CB AI Leader+ Certification, the industry’s benchmark for non-technical leadership in AI oversight. Through four structured modules and scenario-based workshops, you’ll design policies, assess risks, and construct governance models that satisfy both compliance standards and operational needs.

Whether you’re leading an enterprise AI task force, managing cross-functional risk, or shaping public or private sector AI strategy, this course ensures you’re building durable, responsible, and trusted systems of oversight.

Courses in this Certificate Program

  • 6 HOURS TOTAL
  • Live: 3 Hours
  • Self-Study: 3 Hours
  • Tuition: $895
Components of this CourseHours Delivery Method
AI Governance and Risk Management6 HoursLive Online & OnDemand
Live Instructor AMA - bi-monthly1 Hour+Live Online (optional)

Upcoming LIVE Instruction Dates

There are no upcoming events.

Prerequisites

  • Completion of AI Transformation Leadership or equivalent AI strategy experience
  • Familiarity with your organization’s AI or digital ethics initiatives
  • No technical or coding experience required

Target Audience

  • C-suite leaders (CAIO, CCO, CIO, GC) overseeing risk, compliance, or AI operations
  • Executives tasked with establishing AI policies, ethics, or governance structures
  • Legal, compliance, and innovation leads navigating AI adoption
  • Public sector leaders defining or enforcing responsible AI use

Learning Objectives

By completing the AI Governance and Risk Management course, learners will be able to:

  • Design governance frameworks that support responsible, scalable AI adoption
  • Interpret and apply AI-related regulations such as the EU AI Act and U.S. executive orders
  • Establish practical ethical guidelines for AI development and use
  • Create and manage AI risk registers and mitigation strategies
  • Develop oversight processes for compliance, transparency, and improvement
  • Complete the governance and policy component of the W3CB AI Leader+ Certification

Course Modules Breakdown

1: AI Governance Essentials

  • Regulatory landscape, oversight models, and roles/responsibilities
  • Workshop: AI Governance Needs Assessment

2: Ethical AI Implementation

  • Bias, transparency, fairness, and explainability
  • Case Study: Learning from real-world ethical failures

3: Risk Management Frameworks

  • Risk registers, data privacy, and internal compliance workflows
  • Workshop: Build your organizational AI Risk Management Plan

4: Building Sustainable AI Governance

  • Policies, communication, and continuous improvement
  • Panel Simulation: Governance decision-making in emerging scenarios

AI Course Information

  • Review Live Dates Below
  • Online & OnDemand
  • Tuition: $895
  • Ask about Tuition Assistance
  • 6 Hours
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Pro Subscriptions Required:

  • ChatGPT Plus ($20/month)
  • Claude Pro (via Anthropic; ~$20/month)

Anticipated Monthly Total: $40/month

This course prepares you to sit for the Web3 Certification Board (W3CB) AI Leader+ Certification.

Additional Information

  • Module Quizzes and Knowledge Checks
  • Guest Lectures & Networking
  • LIVE Online Instructor AMAs
  • Certification Exam Prep

Job Titles You May Qualify For

  • AI Agent Specialist
  • LLM Fine-Tuning Engineer
  • Intelligent Systems Tester
  • Autonomous Agent Safety Lead
  • AI Safety & Alignment Engineer
  • AI Simulation Developer
  • Senior Conversational AI Developer

Income Expectations

  • AI Agent Developers: $125,000–$145,000/year
  • Agent Safety and RLHF Engineers: $140,000–$160,000/year
  • AI Research Engineers / Multimodal LLM Engineers: $160,000–$185,000+
  • 📊 Wages reflect demand for agent safety, fine-tuning, and advanced LLM capabilities.
  • Reference Sources: Glassdoor, ZipRecruiter, Payscale, and Lightcast.io