AI Governance and Compliance – Practical Walkthrough

AI Governance and Compliance – Practical Walkthrough, available at $84.99, has an average rating of 3.75, with 37 lectures, based on 4 reviews, and has 119 subscribers.

You will learn about Introduction to AI Governance: Understand the fundamentals of AI governance, including its importance and key components. Regulatory Landscape: Gain insights into major regulations and standards related to AI, such as GDPR, ISO 42001, and other relevant guidelines. Risk Management in AI: Learn how to identify potential risks associated with AI applications and develop strategies to mitigate them. Ethical AI Principles: Explore the ethical considerations and principles that should guide the development and deployment of AI systems. Compliance Strategies: Develop effective strategies to ensure your AI projects comply with legal and regulatory requirements. Implementation Tools and Techniques: Discover practical tools and techniques for implementing AI governance frameworks within your organization. This course is ideal for individuals who are Business Leaders: Executives and managers who oversee AI initiatives and want to ensure they align with organizational goals and regulatory requirements. or Compliance Officers: Professionals responsible for ensuring that AI applications meet legal and regulatory standards. or IT Managers: Those managing the implementation of AI solutions and need to integrate governance frameworks. or AI Practitioners: Data scientists, AI developers, and engineers who design and build AI systems and need to incorporate ethical and compliant practices. or Risk Managers: Individuals tasked with identifying and mitigating risks associated with AI technologies. It is particularly useful for Business Leaders: Executives and managers who oversee AI initiatives and want to ensure they align with organizational goals and regulatory requirements. or Compliance Officers: Professionals responsible for ensuring that AI applications meet legal and regulatory standards. or IT Managers: Those managing the implementation of AI solutions and need to integrate governance frameworks. or AI Practitioners: Data scientists, AI developers, and engineers who design and build AI systems and need to incorporate ethical and compliant practices. or Risk Managers: Individuals tasked with identifying and mitigating risks associated with AI technologies.

Enroll now: AI Governance and Compliance – Practical Walkthrough

Summary

Title: AI Governance and Compliance – Practical Walkthrough

Price: $84.99

Average Rating: 3.75

Number of Lectures: 37

Number of Published Lectures: 37

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

• Introduction to AI Governance: Understand the fundamentals of AI governance, including its importance and key components.
• Regulatory Landscape: Gain insights into major regulations and standards related to AI, such as GDPR, ISO 42001, and other relevant guidelines.
• Risk Management in AI: Learn how to identify potential risks associated with AI applications and develop strategies to mitigate them.
• Ethical AI Principles: Explore the ethical considerations and principles that should guide the development and deployment of AI systems.
• Compliance Strategies: Develop effective strategies to ensure your AI projects comply with legal and regulatory requirements.
• Implementation Tools and Techniques: Discover practical tools and techniques for implementing AI governance frameworks within your organization.

Who Should Attend

• Business Leaders: Executives and managers who oversee AI initiatives and want to ensure they align with organizational goals and regulatory requirements.
• Compliance Officers: Professionals responsible for ensuring that AI applications meet legal and regulatory standards.
• IT Managers: Those managing the implementation of AI solutions and need to integrate governance frameworks.
• AI Practitioners: Data scientists, AI developers, and engineers who design and build AI systems and need to incorporate ethical and compliant practices.
• Risk Managers: Individuals tasked with identifying and mitigating risks associated with AI technologies.

Target Audiences

• Business Leaders: Executives and managers who oversee AI initiatives and want to ensure they align with organizational goals and regulatory requirements.
• Compliance Officers: Professionals responsible for ensuring that AI applications meet legal and regulatory standards.
• IT Managers: Those managing the implementation of AI solutions and need to integrate governance frameworks.
• AI Practitioners: Data scientists, AI developers, and engineers who design and build AI systems and need to incorporate ethical and compliant practices.
• Risk Managers: Individuals tasked with identifying and mitigating risks associated with AI technologies.