1192 IT Certifications courses in Edinburgh delivered On Demand

Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field.  The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Unlock your potential in Python programming with our Complete Python Course - Beginner to Expert! From mastering syntax to advanced data analysis, machine learning, and web development, this comprehensive course equips you with essential programming skills. Start your journey today and become a proficient Python developer!

Overview This comprehensive course on Node.JS 2021 Level 3 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Node.JS 2021 Level 3 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Node.JS 2021 Level 3. It is available to all students, of all academic backgrounds. Requirements Our Node.JS 2021 Level 3 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 38 lectures • 02:00:00 total length •Module 01: Introduction: 00:02:00 •Module 01: Introduction: 00:01:00 •Module 02: What's & Why Node.js?: 00:07:00 •Module 03: Installation: 00:01:00 •Module 04: First Node.js app: 00:12:00 •Module 05: Mechanism of Node.js: 00:07:00 •Module 06: Event Loop: 00:09:00 •Module 07: Loop tick: 00:04:00 •Module 08: Modules: 00:07:00 •Module 01: Introduction: 00:01:00 •Module 02: JSON format: 00:03:00 •Module 03: Callback pattern 1: 00:05:00 •Module 04: Callback pattern 2: 00:03:00 •Module 05: Callback hell: 00:01:00 •Module 06: Promises pattern 1: 00:02:00 •Module 07: Promises pattern 2: 00:02:00 •Module 08: Master promises 1: 00:03:00 •Module 09: Master promises 2: 00:05:00 •Module 10: async/await pattern 1: 00:02:00 •Module 11: async/await pattern 2: 00:02:00 •Module 12: Promisify a function: 00:03:00 •Module 01: Introduction: 00:01:00 •Module 02: Event emitter I: 00:03:00 •Module 03: Event emitter II: 00:02:00 •Module 04: Event emitter III: 00:03:00 •Module 05: File system I: 00:02:00 •Module 06: File system II: 00:01:00 •Module 07: File system III: 00:04:00 •Module 08: Streams I: 00:03:00 •Module 09: Streams II: 00:02:00 •Module 10: Path I: 00:02:00 •Module 11: Path II: 00:02:00 •Module 12: Path III: 00:02:00 •Module 01: Introduction: 00:01:00 •Module 02: package.json file: 00:01:00 •Module 03: Commands I: 00:02:00 •Module 04: Commands II: 00:03:00 •Module 05: Commands III: 00:04:00

Overview This comprehensive course on Intelligence Analyst Online Certification Course will deepen your understanding on this topic.After successful completion of this course you can acquire the required skills in this sector. This Intelligence Analyst Online Certification Course comes with accredited certification, which will enhance your CV and make you worthy in the job market.So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Intelligence Analyst Online Certification Course. It is available to all students, of all academic backgrounds. Requirements Our Intelligence Analyst Online Certification Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 7 lectures • 05:23:00 total length •Module 01: Introduction to CBT: 00:35:00 •Module 02: CBT Theories and Principles: 00:48:00 •Module 03: CBT Tools and Strategies: 00:47:00 •Module 04: CBT Process: 00:48:00 •Module 05: CBT for Personal Growth: 00:40:00 •Module 06: Overcoming Anxiety and Depression: 00:58:00 •Module 07: CBT for Children with Autism: 00:47:00

Overview This comprehensive course on Digital Forensics for Cyber Professionals will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Digital Forensics for Cyber Professionals comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Digital Forensics for Cyber Professionals. It is available to all students, of all academic backgrounds. Requirements Our Digital Forensics for Cyber Professionals is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 11 sections • 35 lectures • 05:37:00 total length •Course Overview: 00:06:00 •Lab - Installing CSI Linux: 00:13:00 •Lab - Creating a Kali Live (Forensic Mode) VM Using VirtualBox: 00:06:00 •Lab - Create a Virtual Install Kali Image Using VirtualBox: 00:07:00 •Lab - Create Virtual Install of Windows 10 Using VirtualBox: 00:08:00 •Install Additional Tool Using Katoolin3: 00:10:00 •Lab - Simulate Creating a Disk Image for a Forensic Analysis: 00:11:00 •Lab - Examining a forensic Disk Image Using Autopsy: 00:12:00 •Lab -Digital Forensics Using Autopsy Part I: 00:11:00 •Lab - Digital Forensics Using Autopsy Part II: 00:07:00 •Lab - Installing the WebMap-Nmap Dashboard: 00:12:00 •Lab - Conducting OSINT Using CSI Linux Investigator: 00:08:00 •Lab - Find Social Media Accounts Using Sherlock: 00:07:00 •Attaching an External USB Device in Kali: 00:07:00 •Lab - Memory Forensics Using the Volatility Framework: 00:18:00 •Lab - Acquiring a Forensic Copy of the Windows Registry: 00:15:00 •Lab - Analyzing the Windows Registry for Evidence: 00:14:00 •Lab - Preparing CSI Investigator to Use Shodan: 00:05:00 •Lab - Using Shodan to Find Vulnerable Devices: 00:14:00 •Lab - Using Shodan to Search for Vulnerable Databases: 00:08:00 •Lab - Using the EXIFtool to Read and Write EXIF Tags: 00:11:00 •Using the EXIFtool to Read and Write EXIF Tags: 00:10:00 •Overview of Wireshark 3.2: 00:11:00 •Wireshark Capture Options: 00:07:00 •Wireshark Toolbar Icons: 00:04:00 •Lab - Capturing a 3-way TCP Handshake Using Wireshark: 00:05:00 •Lab - Installing a Wireless Adapter in Kali: 00:09:00 •Lab - Hacking a Wireless Network Using Kali Linux: 00:14:00 •Capturing Wireless Traffic Using Wireshark: 00:05:00 •Lab - CTF Lab Build for HA: Forensics: 00:11:00 •Lab - Capture flag #1: 00:12:00 •Lab - Capture flag #2: 00:10:00 •Lab - Capture flag #3: 00:20:00 •Lab - Capture flag #4: 00:09:00 •Assignment - Digital Forensics for Cyber Professionals: 00:00:00

Overview This comprehensive course on Secure Programming of Web Applications will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Secure Programming of Web Applications comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Secure Programming of Web Applications. It is available to all students, of all academic backgrounds. Requirements Our Secure Programming of Web Applications is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 3 sections • 18 lectures • 01:14:00 total length •Introduction and motivation: 00:02:00 •Well-known Vulnerabilities Overview: 00:02:00 •Causes & Background: 00:09:00 •Secure Programming in general: 00:03:00 •Code/Command Injection: 00:03:00 •(No)SQL Code Injection: 00:04:00 •Cross-Site Request Forgery (CSRF): 00:05:00 •Cross-Site Scripting (XSS): 00:05:00 •Open Redirection: 00:04:00 •File Inclusion / Directory Traversal: 00:05:00 •Clickjacking: 00:04:00 •Session-Hijacking: 00:07:00 •Information Disclosure: 00:03:00 •Authentification: 00:07:00 •Denial of Service: 00:05:00 •Middleware: 00:01:00 •Third-Party Software: 00:01:00 •Conclusion and Summary: 00:04:00

Overview This comprehensive course on Testing using SOAP UI will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Testing using SOAP UI comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Testing using SOAP UI. It is available to all students, of all academic backgrounds. Requirements Our Testing using SOAP UI is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 9 lectures • 04:07:00 total length •Module 01: Introduction to SOAP UI: 00:15:00 •Module 02: Installation instructions for SOAP UI: 00:22:00 •Module 03: Various Components in SOAP UI: 00:30:00 •Module 04: WSDL Testing in SOAP UI: 00:44:00 •Module 05: Load Testing in SOAP UI: 00:34:00 •Module 06: Security Testing in SOAP UI: 00:34:00 •Module 07: REST Testing in SOAP U: 00:42:00 •Module 08: Functional Testing in SOAP UI: 00:26:00 •Assignment - Testing using SOAP UI: 00:00:00

Overview This comprehensive course on Process Mapping : Toolkit will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Process Mapping : Toolkit comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Process Mapping : Toolkit. It is available to all students, of all academic backgrounds. Requirements Our Process Mapping : Toolkit is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 5 sections • 21 lectures • 01:12:00 total length •Introduction: 00:01:00 •What is the purpose of this course?: 00:02:00 •What is Lean Six Sigma?: 00:03:00 •DMAIC: 00:04:00 •What are the benefits of LSS & the toolkit?: 00:02:00 •Scenario to be used to explore the tools: 00:02:00 •Introduction to process mapping: 00:03:00 •Swim Lane: 00:04:00 •Swim Lane: Demonstration: 00:07:00 •Value Stream Map: 00:05:00 •Value Stream Map: Demonstration: 00:07:00 •SIPOC: 00:03:00 •SIPOC: Demonstration: 00:04:00 •Time Value Map: 00:03:00 •Time Value Map: Demonstration: 00:03:00 •Value Add Chart: 00:04:00 •Value Add Chart: Demonstration@@: 00:02:00 •Spaghetti Diagram: 00:04:00 •Spaghetti Diagram: Demonstration: 00:05:00 •Close out: 00:04:00 •Assignment - Process Mapping: Toolkit: 00:00:00

We Don't Make Servers ...We Make Services: Implementing and Managing IT Services Implementing and Managing IT Services Being a service provider demands knowledge of who the customer is, what you as a provider offer customers (services), and assurance that those services provide value. Customers care about quality of service (e.g. the meal), and generally have little concern about the origin or performance of the ingredients that make it up (e.g. who does the maintenance on the grill). This session will discuss the concept of IT Service Management (ITSM), being a service provider, and the associated challenges, risks and critical success factors. You will learn about the importance, benefits and challenges of implementing and managing a formal IT Service Management (ITSM) practice for your IT organization and, ultimately, your company. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

We Don't Make Servers ...We Make Services: Implementing and Managing IT Services Implementing and Managing IT Services Being a service provider demands knowledge of who the customer is, what you as a provider offer customers (services), and assurance that those services provide value. Customers care about quality of service (e.g. the meal), and generally have little concern about the origin or performance of the ingredients that make it up (e.g. who does the maintenance on the grill). This session will discuss the concept of IT Service Management (ITSM), being a service provider, and the associated challenges, risks and critical success factors. You will learn about the importance, benefits and challenges of implementing and managing a formal IT Service Management (ITSM) practice for your IT organization and, ultimately, your company. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.