No-Code Ai For It Management

Accelerate digital transformation with AI-powered IT solutions using Altair RapidMiner AI Studio

What you'll learn

Comprehensive Knowledge: Participants will understand AI concepts and their applications in the IT 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 IT scenarios.

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

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

Requirements

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

Description

This course is meticulously designed for IT management professionals eager to leverage the transformative power of AI—without the complexities of coding. Step into the future of IT management and discover how AI is reshaping business operations, driving efficiency, and enhancing decision-making processes across the industry.From the very first module, you will explore AI’s pivotal role in optimizing IT functions, gaining deep insights into how organizations harness automation, predictive analytics, and intelligent systems to streamline workflows and bolster system performance. Through real-world case studies, you’ll uncover how industry leaders are revolutionizing IT ecosystems—improving cybersecurity, automating infrastructure monitoring, and driving innovation with AI-powered solutions.This course provides a structured journey, starting with AI fundamentals and progressing into the complete project life cycle, customized specifically for IT domains. You’ll engage in interactive, hands-on learning using the intuitive No-Code AI framework, Altair RapidMiner AI Studio. With practical exercises and real-world applications, you’ll gain actionable expertise in deploying AI-driven strategies to optimize IT management.At the culmination of your learning experience, you will undertake a capstone project—a dynamic challenge designed to put your newfound knowledge into practice. This final project will empower you to develop and implement an end-to-end AI solution tailored for IT management, ensuring you leave with the confidence and ability to drive digital transformation in your organization.Embark on this journey and become a pioneer in AI-driven IT 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 IT Management

Lecture 6 Cybersecurity

Lecture 7 Network Monitoring

Lecture 8 IT Helpdesk Support

Lecture 9 Predictive Maintenance

Lecture 10 Incident Management

Lecture 11 Data Management

Lecture 12 Software Development

Lecture 13 Cloud Management

Lecture 14 User Behaviour Analytics

Lecture 15 IT Asset Management

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

IT Management Students & Recent Graduates: Ideal for those pursuing or newly graduated from IT management or related programs who seek to integrate AI into IT operations without delving into complex programming.,IT Managers & Team Leaders: Tailored for mid-level IT professionals responsible for overseeing technology operations and circuit planning, who want to leverage no-code AI to streamline processes and enhance efficiency.,IT Operations & Service Delivery Specialists: Suited for professionals managing day-to-day IT functions, aiming to apply AI-driven insights to optimize system performance, automate routine tasks, and foster innovation.,Emerging IT Leaders & Non-Technical IT Professionals: Perfect for aspiring leaders from non-technical backgrounds who aspire to drive digital transformation and adopt AI strategies in IT management without prior coding expertise.,Senior IT Executives (e.g., CIOs, IT Directors): Beneficial for top-tier decision-makers eager to champion digital initiatives and integrate accessible AI tools to transform strategic IT operations across their organizations.