No-Code Ai For Supply Chain Management

Streamline logistics and inventory control with AI-powered analytics using Altair RapidMiner AI Studio

What you'll learn

Comprehensive Knowledge: Participants will understand AI concepts and their applications in the supply chain industry.

Practical Skills: Learners will be adept at using Altair RapidMiner AI Studio to build and deploy AI models without coding.

Project Implementation: Participants will complete a capstone project, demonstrating their ability to apply no-code AI tools in real-world supply chain scenar

Industry Readiness: Graduates will be equipped with the knowledge and skills required to leverage AI in supply chain management roles effectively.

Requirements

No programming skills are required. Just strong supply chain management skills will be enough.

Description

This course is designed to equip supply chain management professionals with the essential skills to harness AI’s transformative potential—without the need for coding expertise. In today’s fast-paced and increasingly digital landscape, AI has become an integral part of modern logistics, demand forecasting, and operational efficiency. Understanding and leveraging AI-driven solutions can significantly enhance decision-making, optimize resource allocation, and create more resilient supply chain ecosystems.The journey begins with an exploration of AI’s presence in everyday life, highlighting how it seamlessly integrates into business operations. You’ll gain a strong foundation in AI fundamentals—unpacking its what, why, where, and how—before diving into the complete AI project life cycle, tailored specifically for supply chain applications. Through real-world case studies and industry insights, you’ll discover how leading organizations use AI to streamline processes, reduce costs, and improve supply chain agility.The curriculum emphasizes no-code AI frameworks, ensuring accessibility for professionals across industries. Hands-on training with Altair RapidMiner AI Studio provides practical experience, enabling you to build, test, and implement AI-driven models without programming skills. The course culminates in a dynamic capstone project, where you’ll develop an end-to-end AI solution that tackles a real-world supply chain challenge.This comprehensive approach ensures you gain both theoretical knowledge and practical expertise, positioning you as a leader in AI-driven supply chain transformation.

Overview

Section 1: Introduction

Lecture 1 Why take this course?

Lecture 2 Course Objectives and Expected Outcomes

Section 2: AI around us

Lecture 3 AI around us - Part-1

Lecture 4 AI around us - Part-2

Lecture 5 AI in industry: How it works

Section 3: AI Industry Applications in Supply Chain Management

Lecture 6 Demand Forecasting

Lecture 7 Inventory Optimization

Lecture 8 Supplier Selection and Management

Lecture 9 Predictive Maintenance

Lecture 10 Route Optimization

Lecture 11 Warehouse Automation

Lecture 12 Logistics Planning

Lecture 13 Quality Control

Lecture 14 Risk Management

Lecture 15 End-to-End Visibility

Section 4: Exploring Artificial Intelligence

Lecture 16 What is AI?

Lecture 17 Narrow Vs General Vs Super AI

Lecture 18 Machine Learning and its types

Lecture 19 Popular Industry Use Cases of Machine Learning

Lecture 20 Deep Learning & its Industry Applications

Lecture 21 Data Science & its Industry Applications

Lecture 22 AI in Nutshell

Lecture 23 Dispelling Myths about AI

Section 5: Understanding No-Code AI

Lecture 24 Introduction to No-Code AI

Lecture 25 Popular No-Code AI Platforms

Section 6: Getting started with Altair RapidMiner AI Studio

Lecture 26 Step-by-Step Installation

Lecture 27 Understanding the Interface

Lecture 28 Getting Started with the Platform

Lecture 29 Importing Data into the Platform

Section 7: Working with Altair RapidMiner AI Studio

Lecture 30 Data Management: Handling Missing Values

Lecture 31 Data Normalization: Detecting and Managing Outliers

Lecture 32 Filtering Techniques: Refining Data Selection

Lecture 33 Dataset Integration: Merging Data Sources for Insights

Lecture 34 Data Aggregation: Blending Data for Analysis

Lecture 35 Feature Engineering: Data Attributes

Lecture 36 Discretization Strategies: Enhancing Data Representation

Lecture 37 My First No-Code AI Project

Section 8: No-Code AI Capstone Project - Project Framework & Overview

Lecture 38 Project Prelude: Unravelling the Problem Statement

Lecture 39 Setting the Context: Unveiling the Project Background

Lecture 40 Project Objectives and Expected Outcomes

Lecture 41 Data Discovery Journey: Exploring the Dataset

Lecture 42 Project Implementation Approach: Understanding Project Step-by-Step

Section 9: No-Code AI Capstone Project - Hands-on Implementation

Lecture 43 Hands-on Data Dive: Importing the Dataset

Lecture 44 Hands-on EDA Essentials: Navigating the Data Landscape

Lecture 45 Hands-on Tidy-up: Mastering Data Cleaning

Lecture 46 Hands-on Readiness: Mastering Data Preprocessing

Lecture 47 Hands-on Learning: Training the Prediction Model

Lecture 48 Hands-on Evaluation: Testing the Prediction Model

Lecture 49 Hands-on Spotlight on Outcome: The Result and Performance Analysis

Lecture 50 Hands-on Insights: Extending the project learnings

Supply Chain Management Students & Recent Graduates - Ideal for individuals currently studying supply chain management or related fields who wish to acquire practical, no-code AI skills without a technical background.,Supply Chain Managers & Team Leaders - Tailored for mid-level professionals who oversee everyday supply chain operations, logistics, and inventory management, and are looking to integrate AI-driven insights for enhanced efficiency.,Logistics Analysts & Operational Specialists - Perfect for professionals focusing on data analysis and process optimization within supply chains, who want to leverage no-code AI tools to drive actionable insights.,Emerging Supply Chain Leaders & Non-Technical Professionals - Suited for aspiring leaders from non-technical backgrounds who are eager to adopt innovative AI solutions and spearhead digital transformation in the supply chain domain.,Senior Supply Chain Executives (e.g., VP/Directors of Supply Chain) - Beneficial for high-level decision-makers seeking scalable, implementable AI solutions to optimize strategic supply chain operations and maintain a competitive edge.