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    No-Code Ai For Operations Management

    Posted By: ELK1nG
    No-Code Ai For Operations Management

    No-Code Ai For Operations Management
    Published 5/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 5.24 GB | Duration: 5h 1m

    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.