Packt

AI Ethics, Governance, and Risk - The Complete Guide

Packt

AI Ethics, Governance, and Risk - The Complete Guide

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Build and optimize conceptual, logical, and physical data models for real-world applications.

  • Implement dimensional models, including facts, dimensions, and star schemas in Power B.

  • Develop ETL pipelines using Apache Hop and manage OLAP/OLTP workflows efficiently.

  • Leverage ChatGPT and GitHub Copilot for schema generation, data quality checks, and documentation.

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Recently updated!

July 2026

Assessments

11 assignments

Taught in English

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There are 11 modules in this course

In this module, we will introduce the course and explore why AI ethics matter. We will analyze AI in popular culture and discuss the associated risks. Learners will gain foundational insights into ethical considerations for AI systems.

What's included

2 videos1 reading

In this module, we will cover the fundamentals of AI and its ethical relevance. Learners will explore distinctions between ethics, law, and compliance. Past technological lessons will guide understanding of ethical challenges in AI.

What's included

5 videos1 assignment

In this module, we will examine key ethical frameworks that guide AI development. Learners will understand different philosophical approaches and apply them to practical cases. Ethical decision-making in AI will be contextualized through examples.

What's included

7 videos1 assignment

In this module, we will explore fairness and bias in AI systems. Learners will study cases highlighting discrimination and learn ethical responses. The focus is on understanding challenges and implementing mitigation strategies.

What's included

5 videos1 assignment

In this module, we will introduce transparency and explainability in AI. Learners will analyze the black-box problem and its risks. Ethical importance of transparent AI systems will be emphasized.

What's included

5 videos1 assignment

In this module, we will explore AI’s impact on labor and the economy. Learners will examine human-AI collaboration and job displacement. Ethical considerations for equitable AI benefits will be discussed.

What's included

4 videos1 assignment

In this module, we will cover AI safety, alignment, and control issues. Learners will explore research directions and potential risks. Emphasis is placed on ethical deployment of autonomous systems.

What's included

6 videos1 assignment

In this module, we will examine AI governance and regulatory frameworks. Learners will assess value embedding, corporate influence, and global oversight. Ethical considerations in AI policymaking will be explored.

What's included

6 videos1 assignment

In this module, we will explore ethical concerns of AI in sensitive domains. Learners will examine risks in healthcare, law enforcement, and social media. Strategies for ethical AI deployment will be discussed.

What's included

5 videos1 assignment

In this module, we will focus on practical ethics and professional responsibility. Learners will learn frameworks for workplace ethical decisions. Building an ethical AI culture in organizations will be emphasized.

What's included

6 videos1 assignment

In this module, we will review key concepts from the course. Learners will reflect on AI ethics and governance. The section consolidates insights for practical ethical application in AI.

What's included

1 video2 assignments

Instructor

Packt - Course Instructors
Packt
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