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4.04 out of 5
95 reviews on Udemy

Introduction to AI Governance

Learn how to measure, monitor and control your AI Models
Neena Sathi
527 students enrolled
English [Auto]
It identifies the need for an AI model to meet its stated business objectives. It defines the dimensions for these business objectives.
It establishes the guard rails and controls to monitor AI models during deployment and production of the associated IT system.
It details the AI model measurement framework and associated control points. It uses examples to show how framework is established for real time Applications.
It defines what it takes for a good AI-based solution engages and “Wows” the users?
It proposes the skills, processes and organization to support AI Governance.

AI governance introduction:

You worked hard to develop a collection of AI models and now you are ready to deploy them.

  1. How do we sense and interpret a poorly working AI system? Presumably, you have developed a high-quality decision-making engine.
  2. Your AI system is deployed in a 24X7 environment where users are using it round the clock. What is your mechanism to fix the problems without tearing down the system. Can you develop a continuous learning module of your system which constantly learns from use, adjusts the model and provides sufficient logs to your contributing experts to monitor its learning.
  3. The model starts to learn and now your experts are baffled. The learning is exactly not what they designed in the original system and now as they redesign their model, they have differences in opinion. How do you reconcile these differences and bring the best of your corporation.
  4. Is there a tool or a system for life cycle management and can you employ that tool to monitor your AI models like the way you developed process monitoring tools for your governed processes.

You may have many more questions. AI Governance is an evolving topic and not much material is available on this side.

AI governance introduction, you will learn

  • Does an AI based solution meets its stated objectives?
  • How to put control and guard-rails for an AI based solution
  • Does a good AI-based solution engages and “Wows” the users?
  • What skills and tools are available to address some of the governance challenges?

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AI governance introduction


2 hours on-demand video
1 lectures
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