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AI for Strategic Decision Intelligence

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AI for Strategic Decision Intelligence

Instructor: Edureka

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

Recommended experience

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

What you'll learn

  • Design decision frameworks that translate complex analytics into actionable outcomes.

  • Apply storytelling techniques to communicate data-driven insights with clarity and impact.

  • Develop predictive and NLP models to enhance accuracy in decisions environments.

  • Evaluate AI systems to ensure fairness, transparency, and ethical decision-making.

Details to know

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Assessments

14 assignments¹

AI Graded see disclaimer
Taught in English

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

This course empowers business leaders, data professionals, and AI practitioners to design, model, and operationalize intelligent decision systems that bring together data, analytics, and human judgement.

You’ll begin by exploring how Decision Intelligence fuses AI, BI, and human insight to drive smarter, more aligned decisions. You’ll map decision lifecycles, build visual models, and design ethical, bias-aware workflows that strengthen human–AI collaboration. Next, you’ll learn to convert raw data into clear, actionable insights using modern data architectures, visual storytelling, and real-time and network analytics, transforming complexity into clarity. Finally, you’ll activate the machine learning core of DI by building predictive and text analytics models and applying explainable AI to ensure fairness, transparency, and trust across every decision system. By the end of this course, you will be able to: - Design and model decision lifecycles aligned with business and analytical objectives. - Integrate AI and BI capabilities into a unified decision intelligence framework. - Apply cognitive and behavioral insights to reduce bias in AI-driven workflows. - Build and evaluate predictive and classification models for decision support. - Implement explainable and ethical AI methods to ensure transparency and trust. This course is designed for business strategists, data analysts, AI practitioners, and enterprise architects who aim to transform decision-making into a structured, intelligent, and collaborative process. Join us to master the science and practice of decision intelligence, where data, design, and human insight converge to shape the future of strategic enterprise decisions.

Discover how Decision Intelligence (DI) unites data, analytics, and human judgment to drive smarter business outcomes. Explore the foundations of AI-powered decision systems, understand the behavioral dynamics behind human-AI collaboration, and examine how modern enterprises use DI platforms to achieve decision maturity and strategic transformation.

What's included

16 videos8 readings4 assignments

16 videos•Total 94 minutes
  • Specialization Introduction•6 minutes
  • Course Introduction•5 minutes
  • Introduction to Decision Intelligence•6 minutes
  • What is AI-Powered Decision Intelligence?•7 minutes
  • How DI Unlocks the Power of AI and BI•7 minutes
  • AI-Powered Decision Workflow•5 minutes
  • Demonstration: Building a Simple Decision Workflow in Orange Data Miner•7 minutes
  • Decision Frameworks for Human-AI Teams•6 minutes
  • Analytical and Intuitive Decision Styles•6 minutes
  • Human-AI Collaborative Decision-Making•6 minutes
  • Demonstration: Human-Centric Decision Modeling and Bias Awareness in AI•5 minutes
  • Decision Intelligence Platforms and Architectures•6 minutes
  • Harness Decision Intelligence Across Industries•6 minutes
  • Building Decision Maturity and Data-Driven Cultures•6 minutes
  • Demonstration: Designing a Decision Dashboard - 1•5 minutes
  • Demonstration: Designing a Decision Dashboard - 2•3 minutes
8 readings•Total 90 minutes
  • Course Overview•15 minutes
  • The Evolution of Automated Decision Support•10 minutes
  • Decision Ecosystems: Aligning Data, AI, and Human Judgment•10 minutes
  • Reading: Analyze Human Cognitive Biases in AI-Driven Environments•10 minutes
  • Architecting Human-Centric, Bias-Resilient Decision Models•10 minutes
  • The Rise of AI-Driven Decision Platforms in Enterprises•10 minutes
  • Transform Decision Data into Insights•10 minutes
  • Module Summary: Getting Started with AI-Powered Decision Intelligence•15 minutes
4 assignments•Total 33 minutes
  • Knowledge Check: Getting Started with AI-Powered Decision Intelligence•15 minutes
  • Knowledge Check: Decision Intelligence Essentials•6 minutes
  • Knowledge Check: Behavioral Science and Human-Centric Decision Design•6 minutes
  • Knowledge Check: DI Platforms and Enterprise Transformation•6 minutes

Master the data foundations that drive intelligent decision-making. This module equips learners to manage the full data lifecycle including sourcing, preparing, and securing structured and unstructured datasets. Learners will translate analytics into actionable visual insights and apply advanced techniques such as real-time monitoring and network analysis to reveal patterns that support timely, evidence-based decisions.

What's included

11 videos8 readings4 assignments

11 videos•Total 66 minutes
  • The Role of Data in Intelligent Decision-Making•6 minutes
  • Modern Data Architectures: Data Mesh, Fabric, and Real-Time Pipelines•6 minutes
  • Demonstration: Integrating and Transforming Data•6 minutes
  • Data Governance, Security, and Synthetic Data Practices•7 minutes
  • The Analytics Spectrum: Descriptive, Diagnostic, and Prescriptive•7 minutes
  • Design Principles for Effective Visual Analytics•6 minutes
  • Crafting Compelling Data Narratives•5 minutes
  • Monitoring Digital Channels for Decision Signals•6 minutes
  • Uncovering Insights with Network Relationship Analysis•6 minutes
  • Demonstration: Creating Network Relationship Maps using NetworkX•6 minutes
  • Real-Time Intelligence with IoT and Edge Computing•6 minutes
8 readings•Total 85 minutes
  • The Architectural Shift: From Data Warehouses to Data Mesh•10 minutes
  • Data Wrangling Fundamentals with Python•10 minutes
  • The Art of Data Storytelling: From Insights to Action•10 minutes
  • The Psychology of Data Visualization•10 minutes
  • A Comparative Guide to Power BI, Tableau, and Excel•10 minutes
  • Foundations of Network Analysis: Understanding Graphs, Connections, and Insights•10 minutes
  • Performing Network Analysis with Python NetworkX•10 minutes
  • Module Summary: Data Foundations and Analytical Decision Frameworks•15 minutes
4 assignments•Total 33 minutes
  • Knowledge Check: Data Foundations and Analytical Decision Frameworks•15 minutes
  • Knowledge Check: Sourcing and Preparing Decision-Ready Data•6 minutes
  • Knowledge Check: Visual Analytics for Data Storytelling•6 minutes
  • Knowledge Check: Advanced Analytics: Real-Time and Network Data•6 minutes

Strengthen decision-making with machine learning-driven intelligence. Learn to design and deploy predictive and classification models that enhance accuracy and reliability. Apply NLP techniques to extract insights from unstructured data, and integrate explainable, ethical AI principles to ensure transparency and fairness in automated decisions.

What's included

11 videos6 readings4 assignments

11 videos•Total 64 minutes
  • Introduction to Machine Learning in Decision Systems•5 minutes
  • ML Paradigms: Supervised, Unsupervised, and Reinforcement Learning•5 minutes
  • Evaluating Model Accuracy and Reliability•6 minutes
  • Demonstration: Building Predictive Models using Scikit-learn•6 minutes
  • Unlocking Insights from Text Data with NLP•7 minutes
  • Sentiment Analysis and Recommendation Generation for DI•6 minutes
  • Demonstration: Performing Sentiment Analysis with Hugging Face•5 minutes
  • Automating Document Analysis•5 minutes
  • The Importance of Explainability in Decision Intelligence•7 minutes
  • Interpreting Model Decisions with SHAP and LIME•5 minutes
  • Ensuring Fairness and Transparency in AI Models•6 minutes
6 readings•Total 65 minutes
  • The ML Landscape: From Linear Regression to Neural Networks•10 minutes
  • Implementing ML Models with Scikit-learn•10 minutes
  • The NLP Revolution: From Rule-Based Systems to Transformers•10 minutes
  • Exploring Hugging Face Spaces for Text Analytics•10 minutes
  • Explainable AI (XAI): Methods and Ethics•10 minutes
  • Module Summary: Machine Learning Foundations for Decision Intelligence•15 minutes
4 assignments•Total 33 minutes
  • Knowledge Check: Machine Learning Foundations for Decision Intelligence•15 minutes
  • Knowledge Check: Core Machine Learning Concepts for DI•6 minutes
  • Knowledge Check: Text Analytics and NLP for Decision Insights•6 minutes
  • Knowledge Check: Explainable and Ethical AI for Decision Systems•6 minutes

This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz.

What's included

1 video1 reading2 assignments1 discussion prompt

1 video•Total 4 minutes
  • Course Summary•4 minutes
1 reading•Total 30 minutes
  • Practice Project: Building a Human-Centered Decision Intelligence Model for an AI-Driven Organization•30 minutes
2 assignments•Total 60 minutes
  • End Course Knowledge Check: AI Foundations for Strategic Decision Intelligence•30 minutes
  • Applying AI-Powered Decision Intelligence in Enterprise Strategy•30 minutes
1 discussion prompt•Total 5 minutes
  • Describe Your Learning Journey•5 minutes

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Instructor

Edureka
203 Courses•185,285 learners

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Frequently asked questions

This course is ideal for business intelligence professionals, data analysts, AI/ML enthusiasts, and decision-makers who want to understand how to combine data, analytics, and AI to enhance strategic decision-making.

The course covers the foundations of Decision Intelligence, data preparation, analytics for decision-making, and the integration of machine learning and AI into enterprise decision frameworks.

Yes. Learners will engage in practical exercises using platforms such as Google Colab, Scikit-learn, and Hugging Face for implementing AI models and analyzing data-driven decisions.

You’ll gain skills in Decision Intelligence design, data storytelling, analytics visualization, machine learning, and ethical AI implementation for real-world decision systems.

The course can typically be completed in 3 weeks, depending on your pace and engagement with readings, hands-on labs, and assessments.

Basic familiarity with data analytics and Intermediate Python concepts is helpful. Step-by-step guided labs make the technical aspects beginner-friendly.

Completing this course can open roles such as AI/ML Engineer ,Business Intelligence Architect, Decision Intelligence Analyst, AI Strategy Consultant, Data-Driven Business Manager, or AI Product Specialist.

Yes, you will receive a verified certificate of completion, which can be shared on LinkedIn or added to your professional portfolio.

The course includes videos, readings, hands-on practice exercises, and graded assessments across multiple modules—each designed to build progressively from foundational to applied Decision Intelligence skills.

Unlike traditional AI or BI programs, this course emphasizes the fusion of analytics, human judgment, and AI systems—helping learners design actionable decision ecosystems for enterprise transformation.

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.

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.

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.

Financial aid available,

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