Apply AI Techniques & Prescriptives

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Apply AI Techniques & Prescriptives

This course is part of AI Techniques, Causal Inference & Business Optimization Specialization

Instructor: Hurix Digital

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3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

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

Successful AI integration combines multiple techniques aligned to business constraints, not single-model optimization.
Strong decisions balance accuracy and speed with interpretability and cost, guided by stakeholder priorities.
Optimization methods convert business constraints into measurable gains in profit and resource allocation.
Weighted scoring frameworks create transparent, defensible decisions that build stakeholder trust and alignment.

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Build your subject-matter expertise

This course is part of the AI Techniques, Causal Inference & Business Optimization 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 3 modules in this course

Transform your analytical capabilities into competitive advantage with AI-powered decision intelligence.

This Short Course was created to help data analysts accomplish strategic business impact through advanced AI techniques and prescriptive analytics. By completing this course, you'll be able to build ensemble AI solutions that combine multiple methodologies, evaluate performance trade-offs across competing models, and implement optimization frameworks that drive measurable business outcomes. By the end of this course, you will be able to: Apply ensemble AI techniques to solve defined business problems with documented rationale Evaluate accuracy, latency, and interpretability trade-offs across multiple AI approaches Implement linear programming optimization for product mix and profit maximization Create weighted-scoring models for prescriptive scenario evaluation This course is unique because it bridges the gap between technical AI implementation and strategic business decision-making, providing hands-on experience with real-world optimization challenges. To be successful in this project, you should have a background in basic analytics, Python programming, and business problem-solving experience.

Learners will apply an ensemble of core, advanced, and generative AI techniques to solve a defined business decision problem while documenting model selection rationale.

What's included

2 videos1 reading1 assignment1 ungraded lab

2 videos Total 11 minutes

Implementing Ensemble AI Models Step-by-Step 5 minutes
Building Your First Ensemble AI Model with Python 6 minutes

1 reading Total 10 minutes

Ensemble AI Techniques for Business Applications 10 minutes

1 assignment Total 6 minutes

Ensemble AI Techniques Assessment 6 minutes

1 ungraded lab Total 20 minutes

Ensemble AI Model Development for Business Optimization 20 minutes

Learners will evaluate the performance trade-offs between accuracy, latency, and interpretability of at least three AI techniques on the same dataset and recommend the optimal choice.

What's included

1 video2 readings2 assignments

1 video Total 3 minutes

Why Performance Trade-offs Matter in Business AI Decisions 3 minutes

2 readings Total 17 minutes

Understanding AI Performance Trade-offs in Business Context 11 minutes
Podcast: Navigating AI Performance Trade-offs in Practice 6 minutes

2 assignments Total 25 minutes

Strategic AI Performance Trade-off Analysis 18 minutes
AI Performance Trade-offs Evaluation 7 minutes

Learners will apply linear programming optimization for product mix decisions and evaluate competing prescriptive scenarios using weighted-scoring models for stakeholder presentation.

What's included

2 videos3 assignments

2 videos Total 12 minutes

Linear Programming Fundamentals for Business Optimization 6 minutes
Implementing Linear Programming with Python for Product Mix Optimization 7 minutes

3 assignments Total 53 minutes

Apply AI Techniques & Prescriptives - Course Assessment 25 minutes
Comprehensive Prescriptive Optimization Implementation 20 minutes
Prescriptive Optimization Assessment 8 minutes

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Instructor

Hurix Digital

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