Edureka
Building and Optimizing Decision Systems

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Edureka

Building and Optimizing Decision Systems

Edureka

Instructor: Edureka

Included with Coursera Plus

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

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify key concepts and components of decision intelligence used to structure business problems.

  • Analyze data-to-decision pipelines that transform analytics into optimized business workflows.

  • Evaluate the effectiveness and performance of decision systems using metrics and visualization tools.

  • Design responsible AI principles to ensure fairness, transparency, and accountability in decision-making.

Details to know

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Recently updated!

November 2025

Assessments

14 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the AI-Powered Decision Intelligence Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Discover how to design and engineer end-to-end Decision Intelligence pipelines that transform business objectives into actionable outcomes. Explore methods for framing decision problems, building data-to-decision workflows, and implementing intelligent decision support systems. Understand how to connect analytics, automation, and business strategy to create scalable, high-performance decision ecosystems that continuously learn and improve.

What's included

13 videos9 readings4 assignments

Master advanced techniques in predictive, prescriptive, and simulation-based analytics to drive strategic and optimized business decisions. Learn how to forecast trends using predictive models, design optimization frameworks for efficient resource allocation, and evaluate decision outcomes through scenario and Monte Carlo simulations. This module empowers learners to build robust, data-driven models that enhance foresight, improve efficiency, and strengthen decision confidence in dynamic business environments.

What's included

12 videos9 readings4 assignments

Explore how to evaluate, explain, and govern AI-driven decision systems with transparency and accountability. This module focuses on measuring decision performance, building explainable and human-centered models, and establishing responsible AI governance frameworks. Learners will gain hands-on experience with tools for performance visualization, interpretability techniques like SHAP, and governance methods that ensure fairness, compliance, and trust in Decision Intelligence systems.

What's included

10 videos6 readings4 assignments

This final module is designed to measure your proficiency in the critical concepts and analytical approaches covered in the course, providing a formal opportunity to showcase your knowledge through an in-depth, graded evaluation.

What's included

1 video1 reading2 assignments1 discussion prompt

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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Edureka
Edureka
111 Courses112,567 learners

Offered by

Edureka

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.