No-Code Ai For Operations Management

Enhance efficiency and productivity with AI-driven automation using Altair RapidMiner AI Studio

What you'll learn

Comprehensive Knowledge: Participants will understand AI concepts and their applications in the operations 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 operations scenario

Improved Decision-Making: Enhanced analytical and decision-making skills through the practical application of AI techniques in operations.

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

Requirements

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

Description

This course is designed to empower operations management professionals with cutting-edge AI capabilities—without the complexities of traditional coding. In today's dynamic business landscape, AI is redefining operational efficiency, driving data-informed decision-making, and revolutionizing resource management. This course provides a structured pathway to understanding, applying, and mastering No-Code AI solutions, making them accessible for professionals at all levels.You will begin by exploring AI’s seamless integration into daily business functions, gaining insight into how leading organizations use AI to streamline workflow, enhance productivity, and foster innovation. Through engaging case studies and industry examples, you’ll understand how AI optimizes resource allocation, predictive maintenance, supply chain management, and risk assessment—transforming operations into a more agile and resilient ecosystem.The course lays a robust foundation in AI fundamentals—the why, where, what, and how—before guiding you through the full AI project lifecycle, customized for operational applications. You’ll gain hands-on experience with intuitive No-Code AI platforms, using Altair RapidMiner AI Studio to build tangible, real-world solutions that address key operational challenges.To solidify your expertise, the course culminates in a capstone project, where you'll design and implement a comprehensive AI-driven solution tailored to a specific operations management challenge. This holistic approach ensures that you not only understand AI conceptually but can also apply it strategically—positioning yourself at the forefront of digital transformation in operations management.

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 Operations Management

Lecture 6 Demand Forecasting

Lecture 7 Supply Chain Optimization

Lecture 8 Predictive Maintenance

Lecture 9 Quality Control

Lecture 10 Inventory Management

Lecture 11 Production Scheduling

Lecture 12 Logistics Optimization

Lecture 13 Supplier Management

Lecture 14 Process Automation

Lecture 15 Customer Service

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

Operations Management Students & Recent Graduates - Ideal for individuals studying operations management or closely related disciplines who wish to gain practical AI skills without needing a programming background.,Operations Managers & Team Leaders - Tailored for mid-level professionals overseeing day-to-day operations, logistics, and process optimization, looking to integrate no-code AI into their workflow for improved efficiency.,Process Improvement Specialists & Business Analysts - Perfect for those focused on optimizing workflows and enhancing operational performance through data-driven insights, who want to utilize AI tools without the barrier of coding.,Emerging Operations Leaders & Non-Technical Professionals - Suited for aspiring leaders who come from non-technical backgrounds, eager to leverage AI innovations to drive digital transformation and operational excellence.,Senior Operations Executives (e.g., COOs, VP of Operations) - Beneficial for high-level decision-makers seeking scalable, easily implementable AI solutions that can streamline processes, reduce costs, and foster innovation across their organizations.