Learning Outcomes

Introduction to Artificial Intelligence in Education

AI-Powered Learning Technologies

AI-Driven Educational Data Analytics

Future Trends and Challenges in AI for Education

Lesson Summary

This module explores AI-driven educational data analytics, covering data collection, analysis, and interpretation. From predictive modelling to automated assessment systems, we examine how AI enhances teaching practices and personalises learning experiences. Real-world examples are presented, and ethical considerations are addressed in this module.

Artificial Intelligence in Education and Learning - Course Assessment

Discover the strategies for applying artificial intelligence in education and learning in this free online course.

Artificial Intelligence in Education and Learning

This course explores intelligent tutors, adaptive platforms, and conversational agents that personalise learning. Discover data-driven insights for optimising outcomes and supporting success. Peek into the future with emerging AI trends like multimodal and explainable models. Ethical considerations like bias, privacy, and governance for inclusive learning will also be tackled. Unlock the power of AI in revolutionising how we teach and learn!

What Is AI and IoT?

Benefits of AI and IoT in Safety Management

AI and IoT for Hazard Identification

Predictive Analytics in Incident Prevention

Case Studies: Real-World Applications

Explore the transformative role of Artificial Intelligence (AI) and the Internet of Things (IoT) in workplace safety. This module introduces key concepts, benefits, and real-world applications of AI and IoT, focusing on how these technologies revolutionise hazard detection, incident prevention, and safety management systems.

Steps for Implementing AI and IoT

IoT Tools and Devices

Integrating AI and IoT Into Safety Protocols

Overcoming Challenges in Integration

Compliance and Legal Considerations

This module explores the practical integration of AI and IoT in workplace safety systems. Learners will examine implementation steps, essential tools, integration strategies, compliance requirements, and ethical considerations. Gain the skills to create a robust framework for deploying advanced safety technologies in organisations.

Advanced Applications of AI and IoT in Workplace Safety

Emerging Trends in Safety Management Technologies

Impact of AI and IoT on Future Workplace Safety Protocols

Case Studies of Advanced Safety Technology Implementations

AI and IoT: Future Safety Challenges and Opportunities

Explore advanced applications of AI and IoT for workplace safety in this module. Learn about predictive analytics, real-time monitoring, smart PPE, and emerging trends. Analyse case studies, evaluate impacts, and identify challenges to stay ahead in the evolving safety landscape.

AI and IoT in Workplace Safety Management: Safety and Health - Assessment

Learn how AI and IoT are transforming workplace safety. Discover practical strategies for implementation future trends.

AI and IoT in Workplace Safety Management: Safety and Health

Explore the transformative impact of Artificial Intelligence (AI) and the Internet of Things (IoT) on workplace safety in this innovative course. Learn how these technologies prevent hazards, monitor conditions, and ensure compliance, while gaining strategies to integrate them into safety management systems. This course equips you with practical knowledge to enhance health and safety and drive organisational excellence.

An Overview to Modelling and Analytics

Introduction to Supply Chain

Uncertainty and Risks in Supply Chain

Decisions and Performance Measures in Supply Chain

Introduction to Analytics in Supply Chain

Analytics Framework Based on SCOR Model

Design Options for Distribution Network

This module presents the basics of modelling and analytics in the supply network. You will learn about the flows of the supply chain, measures for analysing the performance of the supply chain and how big data analytics can be leveraged in managing the supply chain.

Linear Programming

Linear Point Method

Rating and Ranking Method

Clustering Method

MCDM Techniques

This module highlights the various analytics involved in the supplier selection process. You will learn about the need for mathematical modelling in selecting suppliers, various methods of selecting suppliers and the process of converting qualitative information into numeric market information.

Transportation Cost Modelling

Min-Max and Max-Min Model

Maximum Flow Model

Shortest Path and Minimal Spanning Tree Model

This module presents the modelling and analytics techniques involved in transportation. You will learn about the various techniques available for transportation modelling, how to minimize the maximum quantity on a high cost transportation route and how to determine the shortest route when there are networks of roads.

Decision Making for Warehouse Location

Break Even and Centre of Gravity Model

Ardalan Heuristic and Transportation Cost Model

Total Cost Model

Warehouse Layout

Warehouse Space Calculation

Storage Space Calculation

This module presents the modelling and analytics techniques involved in determining the locations and space requirements of warehouses. You will learn about the various conventional and modern ways for determining warehouse locations, the procedure for determining the overall size of the warehouse and the process of estimating the space requirement and storage patterns in a warehouse.

Performance of the Entire Supply Chain

Data Envelopment Analysis

This module presents the strategic performance measurements used for improving the efficiency of the warehouse. You will learn about the procedure for measuring the performance of the warehouse, various input and output operations in the warehouse and the role of DEA,CRS and VRS models in improving performance operations of a warehouse.

Concepts in Inventory Management

Simultaneous Production and Consumption Model

Lost Sales

Multiple Items Inventory Models

Constraint on Space and Number of Orders

This module presents the concept of inventory and inventory management in the context of supply chain. You will learn about the different terminologies used in inventory management and how inventory modelling helps in dealing with the constraints on space, planned shortages with backorders and lost sales.

First Course Assessment

Safety Stock and Reorder Level

Continuous Review System

Periodic Review System

This module presents the functions of various review systems in the context of inventory management. You will learn about the tracking procedure of  inventory and how to determine the fixed interval reorder point for reviewing the inventory.

Transport Systems in India and the World

Transport Costing

Public Transport Costing

Fixing Fare for Public Transportation System

Foreign Trade Logistics

This module presents an overview of the transportation systems in the context of Supply Chain Management. You will learn about the procedure for determining transportation costs using mathematical modelling, the use of formula and passenger–kilometre approaches to fix the costs of public transports and how logistics takes place between India and its neighbouring countries.

Analytical Hierarchy Processing (AHP) Method

Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) Method

VIKOR Method

ISM Method

Forecasting Simple and Weighted Average Mean Square Error

Exponential Smoothing Method

Seasonality in Forecasting

Trend Regression

Holt's and Winters' Method

Multi Period Forecasting

This module presents the various multi-criteria decision making and forecasting methods. You will learn about the process of determining the best supplier or best product, based on multiple criteria and the procedure of forecasting when the model estimates demand and constant.

Information Distortions in Supply Chain

Coordination and Collaboration Modelling

Six Sigma Approach to Coordination

Measuring the Degree of Coordination

This module discusses the modelling coordination in Supply Chains. You will learn about the effects of information distortions in the Supply Chain and how Six Sigma and the Queuing Theory helps in developing robust coordination systems.

Risks and Supply Chain Disruptions

Modelling Risk Analytics

This module discusses the risk analytics in Supply Network Design. You will learn how risks disrupt the supply chain, the steps involved in assessing the risks and the need for mathematical modelling to estimate the riskiness of a supply chain.

Taxation

Tax Advantages

Transhipment

Flexibility

Total Cost

Echelons

This module presents the design and modelling of the Global Supply Chain. You will learn the process of designing Global Supply Chain by taking care of tax advantages. Discover how modelling the total cost of the supply chain helps in minimizing the cost  and how to design the entire supply chain right from the supplier base to the end customer.

Second Course Assessment

Advanced Diploma in Modelling and Analytics for Supply Chain Management-Course Assessment

In this free diploma in modelling and analytic, learn how Analytics can be applied to various domains of supply chain.

Advanced Diploma in Modelling and Analytics for Supply Chain Management

This free online diploma in modelling and analytics for supply management focuses on the nature and goal of supply networks and explains the impact of analytics-based supply chain decisions on the success of a firm. The course covers key metrics that track the performance of the Supply Network, identification of the key factors to be considered when designing a distribution network, and use of analytical techniques for developing a framework.

System Development and Phases, Steps, Purposes and Tasks

Controlling the Process

Business Process Engineering

Learn about Systems Development, systems development life cycle (SDLC), the different meanings of SDLC, and the key points of ISO-9000-3 and Capability Maturity Model, and Business Process Engineering.

Triggering System Development, Definition, Goals and Gathering Facts

Devise the Project Plan

Learn more about a system survey and its goals, the aspects of feasibility and the need for obtaining approvals.

Definitions and Goals

Define Logical Specifications and Design Alternative Physical Systems

Complete and Package the Systems Analysis Documentation

Learn more about the term “Systems Analysis", how systems analysis can become structured, the goals of system analysis, and the studies carried out in systems analysis.

Understanding Systems Analysis - Assessment

Learn more about structured system analysis for investigating problems and identifying solutions with this course.

Understanding Systems Analysis

This free online Systems Analysis course will teach you how to meet your organization’s informational, operational, and management requirements when reengineering a process.  Systems analysis is the methodical investigation of a problem and the identification and ranking of alternative solutions to the problem. With this course, you will learn how to develop information systems in an efficient and effective manner.

Business Intelligence

Starting Case

Decision-Making Process

Problem Structure

BI Application

Dashboard Presentation

This module explains what business intelligence is and how it can be used to make useful decisions. In this module, you will see the various reasons why managers need IT supports, types of problem structures, and business intelligence applications used for analyzing data.

Types of Charts

Good Dashboard

Common Mistakes

KPI Development

Overview of Data Warehouse

Data Warehouse

This module discusses the data warehouse and how it works to manage data. In this module, you will see the different types of charts used in the BI dashboard and the common mistakes made when designing a dashboard.

Development Approaches

Basics of Data Mining

Data Mining - Classification

Data mining - Clustering

Data Mining - Applications

This module explains the basics of data mining. In this module, you will see the stages involved in data mining and the various areas where data mining can be applied.

Fundamentals of Managing and Using Data for Business Intelligence - Course Assessment

Learn about business intelligence, data mining, data management, and data warehousing with this free online BI course.

Fundamentals of Managing and using Data for Business Intelligence

This course introduces you to the application of business intelligence (BI) in making viable financial and strategic decisions. Learn about the roles of managers and the reasons why managers need IT support. You will explore data management, data mining and the mechanics of data analysis. If you are a business analyst or a small business owner or entrepreneur and want to enhance your ability to make important decisions, this course is for you.

Introduction to Prometheus

Servers and Metrics in Prometheus

Prometheus and Grafana

Installing a Prometheus Environment

In this module, you will learn about Prometheus, its main features, and its core metrics. Moreover, it also explains the working of Prometheus and its installation. The collaboration between Prometheus and Grafana (along with their use cases) has also been explained.

Fundamentals of Prometheus Software - Performance Monitoring for IT Systems - Assessment

This free online course will walk you through the basic workings of Prometheus and its installation.

Fundamentals of Prometheus Software - Performance Monitoring for IT Systems

Prometheus is one of the most renowned open-source products used to monitor the health of systems in different IT infrastructures. This introductory course covers various fundamental aspects of this product, including its working, data collection method, and monitoring. It also discusses the collaboration between Prometheus and Grafana and their real-world use cases, along with the installation of this software.

SIEM Essentials: From Basics to Splunk Use Cases

Splunk Fundamentals and Architecture Overview

Getting Started with Splunk Apps: Enhancing and Extending Splunk

Splunk Data Collection and Forwarder Setup

Configuring and Monitoring Splunk Data Inputs

Introduction to Splunk Search Processing Language (SPL)

Splunk Reporting and Dashboards: Visualization and Alerting

Splunk Fundamentals: Master Data Onboarding, Search, and Security Monitoring - Assessment

Learn to effectively use Splunk within SIEM environments to ingest data, analyze events, and respond to threats.

Splunk Fundamentals: Master Data Onboarding, Search, and Security Monitoring

This course guides you in mastering Splunk within SOC and SIEM environments, transforming raw data into actionable insights. You’ll learn to monitor events in real-time, detect threats, and respond effectively while creating meaningful visualizations and dashboards. By the end, you’ll gain practical skills to strengthen security operations, improve incident response, and make data-driven decisions with confidence.

Course Introduction

Viewing and Formatting Data

Basic Formulas in Excel

Referencing Data in Formulas

Data Quality

Removing and Identifying Data

Cleaning and Managing Data

Sort and Concatenation Data

Analyzing Data

This module will begin by helping you examine the basics of Excel. We will also help you find knowledge on the various types of data. This course will provide you with the opportunity to examine the various types of functions in Excel. You will have answers to questions like "How can reference data in Excel?" and "How to filter data in Excel?"

Basics of Data Analysis with Excel - Assessment

Master the fundamental concepts used to handle data and manipulate functions in this free online Excel training course.

Basics of Data Analysis with Excel

Microsoft Excel is a popular program that provides users with the ability to construct spreadsheets. We explore the basic concepts of Excel and explain how to employ various spreadsheet techniques. We show you how to use functions for data analysis. We discuss how to design the perfect formula and keep your data clean when placing it in a spreadsheet. Sign up to become a skilled Excel user capable of using this program to analyze data.

Association Rule Mining

Association Rule Mining (cont'd)

This module introduces associative rule mining. You will learn about frequent patterns and rules in mining and be able to list when association rules can be applied. You will also learn about the apriori algorithm.

Big Data , A small introduction

Big Data , A small introduction(cont'd)

In this module you will learn about big data. You will learn about the four V’s of big data and why social media data can be hard to disambiguate.

Clustering Analysis

Clustering Analysis(cont'd)

In this module you will learn about clustering analysis. This module will teach you about why clustering is used and the different types of clustering. You will also learn about K-means and K-meloids.

Introduction to Experimentation and Active Learning

Introduction to Experimentation and Active Learning(cont'd)

An Introduction to Online Learning - Reinforcement Learning

An Introduction to Online Learning - Reinforcement Learning(cont'd)

In this module you will learn about experimentation and active learning and creating data in an online and offline context. You will learn about online learning and the n-arm bandit problem.

Data Analytics - Mining and Analysis of Big Data - Assessment

Learn how to analyse big data using mining and clustering techniques, in this free online big data analytics course.

Data Analytics - Mining and Analysis of Big Data

This free online Big Data Analytics course from Alison will teach you how to mine and analyse big data. This process of studying and evaluating data is widely used in business and commercial industries and even in the government sector. With the help of this course, you will also learn how to create clustering data models which in turn can help you make more informed decisions. Make this a part of your business practice now!