AI in Predictive & Prescriptive Analyticsmanagement Analysis & Operational Auditing

In any city around the world 00447455203759 Course Code: AI/2025/1001

Course Description

Introduction

Predictive and prescriptive analytics transform raw data into actionable strategies. This course covers machine learning models that forecast future outcomes and prescribe optimal solutions.

Course Objectives

By the end of this course, participants will be able to:

·        Apply AI for predictive analytics.

·        Use prescriptive analytics to recommend strategies.

·        Build machine learning models for forecasting.

·        Evaluate business cases using AI-driven insights.

Target Audience

This course is designed for:

·         Data scientists

·         Business analysts

·        Operations managers

·        Financial analysts

Course Outlines

Day 1: Predictive Analytics Basics

·        Introduction to predictive analytics

·        Data requirements for predictive modeling

·        AI tools for predictive analytics

·        Case study: Predictive analytics in retail

·        Workshop: Predictive model setup

Day 2: Building AI Predictive Models

·        Regression, classification, and clustering models

·        Time-series forecasting with AI

·        Tools: Python AI libraries (scikit-learn, TensorFlow)

·        Demo: Forecasting with AI

·        Workshop: Build predictive model in Python

Day 3: Prescriptive Analytics with AI

·        Introduction to prescriptive analytics

·        Optimization techniques using AI

·        Case study: Prescriptive analytics in logistics

·        Tools: IBM Decision Optimization, Google OR-Tools

·        Simulation: Prescriptive decision scenario

Day 4: Advanced AI Applications

·        Reinforcement learning for decision optimization

·        AI in risk analysis and mitigation

·        Group exercise: AI-driven decision planning

·        Peer discussion on applications

·        Feedback session

Day 5: Deploying Predictive & Prescriptive Analytics

·        Deployment in business systems

·        Integrating AI into BI tools

·        Group project: AI analytics solution design

·        Presentations & review

·        Wrap-up & certification