When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Ethical Governance & Risk in Agentic AI

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Ethical Governance & Risk in Agentic AI

Ce cours fait partie de Spécialisation "Hands-on Agentic AI: Building Intelligent Agents"

Instructeur : Hurix Digital

Inclus avec

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

4 heures à compléter

Planning flexible

Apprenez à votre propre rythme

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

4 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Compétences que vous acquerrez

Catégorie : Accountability Frameworks
Catégorie : Decision Intelligence
Catégorie : Case Studies
Catégorie : Risk Management
Catégorie : Compliance Management
Catégorie : Agentic systems
Catégorie : Artificial Intelligence
Catégorie : Responsible AI
Catégorie : Regulatory Requirements
Catégorie : Risk Management Framework
Catégorie : Governance Risk Management and Compliance
Catégorie : Governance
Catégorie : Regulatory Compliance
Catégorie : Accountability
Catégorie : Risk Analysis

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

décembre 2025

Évaluations

5 affectations¹

Noté par l'IA voir l'avis de non-responsabilité

Enseigné en Anglais

91%

of learners achieved a positive career outcome

Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées

En savoir plus sur Coursera pour les affaires

logos de Petrobras, TATA, Danone, Capgemini, P&G et L'Oreal

Élaborez votre expertise du sujet

Ce cours fait partie de la Spécialisation "Hands-on Agentic AI: Building Intelligent Agents"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 3 modules dans ce cours

Ethical Governance & Risk in Agentic AI is an intermediate-level course designed for professionals who need to navigate the complex landscape of autonomous AI systems while ensuring ethical compliance and responsible deployment. As AI systems become increasingly autonomous, traditional governance approaches break down, creating new categories of risk and accountability challenges. This course equips learners with practical frameworks to assess AI autonomy levels, design adaptive compliance strategies, and build scalable governance structures. Through real-world case studies from IBM, UC Berkeley, and Harvard Business Review, learners explore both the opportunities and risks of agentic AI systems. The course emphasizes practical implementation, providing tools and templates that can be immediately applied in organizational settings. By the end, learners will be able to build comprehensive governance frameworks that balance innovation with responsibility, ensuring AI systems serve human values while driving competitive advantage.

Détails du module

In this foundational lesson, learners will explore the evolution of AI autonomy and examine how autonomous agents make decisions. They'll analyze the ethical implications of AI decision-making, understand the spectrum of agent autonomy, and evaluate real-world cases where AI autonomy has created both opportunities and challenges. Through IBM's perspective on agentic AI risks and UC Berkeley's analysis, learners will develop a framework for assessing agent autonomy levels.

Inclus

4 vidéos2 lectures1 devoir

4 vidéosTotal 20 minutes

Introduction and Welcome4 minutes
The Spectrum of AI Autonomy: From Tools to Agents5 minutes
Ethical Implications of Autonomous Decision-Making5 minutes
Case Study: When AI Autonomy Goes Wrong (and Right)6 minutes

2 lecturesTotal 12 minutes

Welcome to the Course: Course Overview4 minutes
Navigating the Current AI Governance Landscape8 minutes

1 devoirTotal 15 minutes

HOL: Assess AI Autonomy Levels in Your Organization15 minutes

This lesson guides learners through the process of creating comprehensive compliance strategies that ensure AI systems align with ethical standards and regulatory requirements. Learners will explore current regulatory frameworks, design compliance strategies that balance innovation with responsibility, and examine how leading organizations navigate complex regulatory landscapes. They'll develop skills to create frameworks that ensure responsible AI deployment while maintaining competitive advantage. All of this Through practical exercises and real-world case studies,

Inclus

3 vidéos1 lecture1 devoir

In this culminating lesson, learners will develop comprehensive skills for evaluating AI risks and implementing robust governance frameworks. They'll learn to assess both technical and ethical risks in AI systems, design governance structures that can evolve with changing technologies and regulations, and create accountability mechanisms that ensure responsible AI deployment. Through hands-on activities and real-world case studies, learners will build practical frameworks they can immediately apply in their organizations.

Inclus

4 vidéos1 lecture3 devoirs

4 vidéosTotal 22 minutes

Comprehensive AI Risk Assessment Frameworks7 minutes
Designing Governance Frameworks That Scale6 minutes
Building Accountability in AI Governance6 minutes
Congratulations and Continuous Learning Journey2 minutes

1 lectureTotal 5 minutes

Implementing Practical Risk Management for AI Systems5 minutes

3 devoirsTotal 80 minutes

HOL: Designing a Healthcare AI Governance Framework25 minutes
Project: Ethical Governance & Risk in Agentic AI Implementation45 minutes
Assessment10 minutes

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.