Packt

AB-731 - Leading AI Transformation Across the Enterprise

Packt

AB-731 - Leading AI Transformation Across the Enterprise

Included with Coursera PlusLearn more

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

Recommended experience

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

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Lead AI transformation in your organization by making strategic decisions.

  • Master the "Buy, Build, or Extend" framework to choose the best AI path.

  • Implement Responsible AI principles to ensure secure and compliant systems.

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Recently updated!

September 2026

Assessments

5 assignments

Taught in English

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There are 6 modules in this course

This module provides an overview of the course structure, key learning goals, and expectations for the upcoming lessons. Learners will gain a clear understanding of the course flow and what they can achieve by the end of the module.

What's included

1 video

This module explores the foundational concepts of generative AI, including its core technologies, business applications, and strategic implementation. Learners will gain insights into how AI can drive transformation and optimize business operations. The course also covers cost management and the role of AI agents in decision-making.

What's included

6 videos1 assignment

This module explores key strategies for improving AI interactions through prompt engineering, grounding AI in trustworthy data, and enhancing system reliability. It covers the machine learning lifecycle and methods for building ethical, transparent AI systems. Learners will gain practical insights into creating effective and responsible AI solutions.

What's included

5 videos1 assignment

This module equips learners with the skills to align AI solutions like Microsoft Copilot and Foundry with business processes, make strategic decisions on AI acquisition, and manage licensing effectively. It covers customization, process mapping, and cost-benefit analysis for enterprise AI implementation.

What's included

5 videos1 assignment

This module provides an in-depth look at the key factors influencing AI readiness, ethical frameworks for AI, and strategic approaches to AI adoption and governance. Learners will gain insights into organizing for AI success and navigating the transition to autonomous AI systems.

What's included

5 videos1 assignment

This module equips learners with effective strategies for preparing for and taking the final exam, focusing on time management, question analysis, and confidence-building techniques to ensure success.

What's included

1 video1 assignment

Instructor

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Packt
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