Ai Agent Governance & Risk Management
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.65 GB
Agentic AI governance: risk assessment, behavioral boundaries, oversight models, & regulatory compliance, without coding
What you'll learn
Understand why AI agents create a new category of operational risk that traditional IT governance frameworks are not designed to handle
Build a complete agent inventory so your organization knows which autonomous systems are running, what they do, and who is accountable
Define autonomy levels and behavioral boundaries specifying exactly what agents can do, what they must never do, and when to escalate
Assess agent risk across financial, compliance, reputational, and operational dimensions combined with realistic failure likelihood
Design guardrails and controls proportional to each agent's risk tier, applying strict governance where it matters most
Establish a governance operating model with clear roles, review cadences, and escalation paths that keep agents accountable
Monitor agents in production, identify metrics that signal unsafe behavior, and evaluate performance continuously after deployment
Navigate the global AI regulatory landscape and identify where regulation leaves gaps that your internal policies must fill
Apply enhanced governance to high-stakes scenarios in finance, HR, healthcare, and regulated industries where failure consequences are severe
Design a complete 30-day governance implementation plan for a real agent with defined controls, ownership, and monitoring metrics
Requirements
No programming or technical background required - this course is designed for anyone who works with or around AI agents in a business context
All you need is a basic familiarity with how your organization operates and an interest in understanding how to deploy AI responsibly
No prior experience with AI governance, risk management, or compliance frameworks is necessary - everything is built from the ground up
Description
This course contains the use of artificial intelligence. It was used to generate the thumbnail of the course. AI agents are no longer experimental. Organizations are deploying them across sales, operations, finance, and customer service, giving them access to real systems and the autonomy to take real actions. And most organizations are doing it without adequate governance.That's the problem this course solves.When an agent approves a transaction, sends a customer communication, or updates a critical record, something can go wrong in ways traditional IT governance was never designed to catch. Agents fail subtly, cascade errors across systems, and create accountability gaps that only become visible after damage is done.This course gives you a complete, practical framework for governing AI agents responsibly. You will learn how to build an agent inventory, assess risk across financial, compliance, reputational, and operational dimensions, and design behavioral boundaries and oversight models proportional to each agent's risk level.You will establish a governance operating model with clear roles, escalation paths, and review cadences. You will learn what to monitor in production and which signals indicate an agent is drifting from safe behavior. You will navigate the global regulatory landscape, understand where regulation leaves gaps, and build internal policies to fill them.The course closes with a hands-on workshop where you design a complete 30-day governance implementation plan for a real agent in your organization.No technical background required. If you work with AI agents or are planning to, this course gives you the frameworks and tools to deploy them with confidence, accountability, and control.
Business professionals and managers who are deploying or planning to deploy AI agents and need a practical framework to do it responsibly,Anyone in any industry who wants to move beyond using AI as a chatbot and understand how to deploy autonomous agents safely and confidently,Entrepreneurs and startup founders who are building AI-powered products and need to think about accountability and risk from day one,Students and early-career professionals who want to develop practical skills in AI governance and stand out in a rapidly evolving job market,Risk managers, compliance officers, and legal professionals who need to understand the specific governance challenges that AI agents introduce,Executives and decision-makers who must evaluate, approve, and oversee AI agent deployments and want to ask the right questions,Operations and process improvement teams responsible for ensuring that automated systems work reliably and within defined boundaries,IT leaders, platform architects, and technical teams who want a business-focused governance framework to build into agent design from the start,Data scientists and ML engineers who need to communicate agent capabilities and limitations clearly to non-technical stakeholders,Consultants and business analysts who advise organizations on AI adoption and want to add agent governance to their toolkit
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