4101 Computing courses in Guildford delivered On Demand

Unleash your potential for survival with our cutting-edge course, equipping you with indispensable knowledge to navigate through life-threatening situations. Discover the secrets to recognising potential threats, cultivating a resilient mindset, and responding effectively to active shooter incidents. This comprehensive programme goes beyond the ordinary, arming you with emergency first aid skills, evacuation strategies, and preventive measures. Immerse yourself in a real-world case study on active shootings, gaining invaluable insights to enhance your preparedness. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access Embrace a transformational learning experience, empowering you with skills vital for personal safety. Navigate the intricacies of identifying threats, fostering a survival mindset, and executing swift responses. Equip yourself with emergency first aid, evacuation tactics, and preventative strategies, ensuring you emerge resilient and ready for any challenge. Course Curriculum Module 01: Introduction to Active Shooter Attacks Module 02: Identifying Potential Threats Module 03: Developing a Survival Mindset Module 04: Responding to an Active Shooter Incident Module 05: Emergency First Aid and Evacuation Module 06: Prevention and Preparedness Module 07: Case Study on Active Shooting Learning Outcomes: Identify potential threats through effective observation and assessment techniques. Cultivate a resilient mindset to enhance your adaptability in crisis situations. Execute prompt and effective responses to active shooter incidents. Master emergency first aid procedures for immediate casualty care. Strategically plan and implement evacuation procedures for maximum safety. Develop a proactive approach to prevention, bolstering overall preparedness. CPD 10 CPD hours / points Accredited by CPD Quality Standards Surviving An Attack: Active Shooter Preparedness 1:34:30 1: Module 01: Introduction to Active Shooter Attacks 11:19 2: Module 02: Identifying Potential Threats 10:12 3: Module 03: Developing a Survival Mindset 09:59 4: Module 04: Responding to an Active Shooter Incident 12:42 5: Module 05: Emergency First Aid and Evacuation 12:45 6: Module 06: Prevention and Preparedness 12:46 7: Module 07: Case Study on Active Shooting 23:47 8: CPD Certificate - Free 01:00 Who is this course for? Individuals seeking personal safety and emergency response skills. Security personnel looking to enhance their threat identification capabilities. Community members interested in fostering a resilient mindset for crisis situations. Corporate employees aiming to strengthen workplace safety and security. Parents and educators concerned about the safety of their environments. Career path Security Consultant Emergency Response Coordinator Crisis Management Specialist Safety and Security Officer Community Safety Advocate Workplace Safety Coordinator Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.

Are you concerned about the increasing threats to cyber security? Do you want to have a comprehensive understanding of cyber law and its application in the digital world? Our Cyber Security Training course is your answer! In this course, we dive deep into the world of cyber law, exploring everything from the fundamentals to the latest developments in the field. With a focus on theoretical knowledge and academic analysis, this course equips you with the tools you need to navigate the complex world of cyber security. You'll gain a comprehensive understanding of cyber law, cyber ethics, online gambling, cyber crime, cyber security, trust in cyberspace, computer threats, cyber terrorism, fraud, and jurisdiction. Our team of experienced educators will guide you through the course, ensuring that you gain a solid understanding of the key concepts and theories in cyber law. You'll engage with a range of resources, including academic texts, case studies, and online forums, allowing you to develop a nuanced understanding of the subject matter. Courses Are Included in this Cyber Security Training Bundle Course 01: Cyber Security Law at QLS Level 7 With our Cyber Security Law Training course, you'll be equipped with the knowledge you need to tackle the challenges of the digital world. So why wait? Enrol now and join the growing community of cyber law experts! This Advanced Diploma in Cyber Security Law at QLS Level 7 course is endorsed by The Quality Licence Scheme and accredited by CPD QS (with 180 CPD points) to make your skill development & career progression more accessible than ever! Learning Outcomes of Cyber Security Training: After completing the course, you can expect to: Understand the fundamentals of cyber law and its application in the digital world. Analyse cyber ethics and its relationship with online gambling. Evaluate cybercrime and its impact on cyber security and trust in cyberspace. Identify different computer threats and assess the risks posed by cybercriminals, organised crimes, hacktivists, and nation-states. Discuss the concept of cyberterrorism and the evolving threat of the deep web. Apply jurisdiction principles to cyber law cases. Why Prefer This Cyber Security Training Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPD QS after completing the Cyber Security Law Training course Get a free student ID card with Cyber Security Get instant access to this Cyber Security course. Learn cyber security essentials from anywhere in the world Cyber Security course is affordable and simple to understand Cyber Security is entirely online, interactive lesson with voiceover audio Lifetime access to the Cyber Security course materials Cyber Security course comes with 24/7 tutor support ****Course Curriculum of Cyber Security Training**** Here is the curriculum breakdown of this Cyber Security Law Training- 01 Ethical Hacking 02 Professional Hacking 03 Penetration Testing I 04 Penetration Testing II 05 Web Application Security 06 Security Leadership 07 Security Sentinel 08 Vulnerability Assessment Assessment Process of Cyber Security Training You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam.Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Advanced Diploma in Cyber Security Law at QLS Level 7 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Cyber Security Training is ideal for: Professionals seeking to enhance their understanding of cyber law and its implications in the digital world. Law students and legal practitioners interested in exploring the field of cyber law. Business owners and managers are concerned about cyber security and privacy in their organisations. Anyone interested in gaining a comprehensive understanding of cyber law. Career path Cyber Security Training Cybersecurity Lawyer Information Security Manager Data Protection Officer Cybercrime Analyst Digital Forensic Analyst Risk Analyst Please note that these salary ranges are approximate and may vary depending on qualifications, experience, and other factors. Certificates Certificate of completion Digital certificate - £10 Advanced Diploma in Cyber Security Law at QLS Level 7 Hard copy certificate - £139 Show off Your New Skills with a Certificate of Completion After successfully completing the Advanced Diploma in Cyber Security Law at QLS Level 7, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - £139 inside the UK £10 (including postal fees) for International Delivery Certificate Accredited by CPD QS £29 for Printed Hard Copy Certificate inside the UK £39 for Printed Hard Copy Certificate outside the UK (International Delivery)

Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS 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 Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS 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 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00

Overview This comprehensive course on Microsoft Outlook - 25 Must-Know Tips and Tricks will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Microsoft Outlook - 25 Must-Know Tips and Tricks 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 Microsoft Outlook - 25 Must-Know Tips and Tricks. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Outlook - 25 Must-Know Tips and Tricks 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 2 sections • 6 lectures • 01:00:00 total length •Unit 01 - Must-Know Tips and Tricks of Microsoft Outlook 1-5: 00:08:00 •Unit 02 - Must-Know Tips and Tricks of Microsoft Outlook 6-10: 00:11:00 •Unit 03 - Must-Know Tips and Tricks of Microsoft Outlook 11-15: 00:16:00 •Unit 04 - Must-Know Tips and Tricks of Microsoft Outlook 16-20: 00:10:00 •Unit 05 - Must-Know Tips and Tricks of Microsoft Outlook 21-25: 00:15:00 •Resource- Microsoft Outlook - 25 Must-Know Tips and Tricks: 00:00:00

Overview This comprehensive course on Three.js & WebGL 3D Programming Course for Beginners will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Three.js & WebGL 3D Programming Course for Beginners 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? 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 Three.js & WebGL 3D Programming Course for Beginners. It is available to all students, of all academic backgrounds. Requirements Our Three.js & WebGL 3D Programming Course for Beginners 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 2 sections • 12 lectures • 01:32:00 total length •Module 01: Course Intro: 00:02:00 •Module 02: Introduction: 00:17:00 •Module 03: Draw Geometry: 00:09:00 •Module 04: Update Viewport On Resize: 00:04:00 •Module 05: Controls: 00:05:00 •Module 06: Textures & Colours: 00:08:00 •Module 07: Lighting: 00:22:00 •Module 08: Model Loading: 00:07:00 •Module 09: FPS (Frames Per Second/Framerate): 00:02:00 •Module 10: Anaglyphic 3D: 00:05:00 •Module 11: Skybox: 00:11:00 •Resource: 00:00:00

Overview of MySql Masterclass Join our MySql Masterclass course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The MySql Masterclass course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The MySql Masterclass course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This MySql Masterclass Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this MySql Masterclass. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online — Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion – Digital / PDF Certificate After completing the MySql Masterclass course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99. Certificate of Completion – Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This MySql Masterclass is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. 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 You don’t need any educational qualification or experience to enrol in the MySql Masterclass 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 course. Career Path The certification and skills you get from this MySql Masterclass Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

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

Overview This DevOps Fundementals: Maven and SonarQube for Engineers course will unlock your full potential and will show you how to excel in a career in DevOps Fundementals: Maven and SonarQube for Engineers. So upskill now and reach your full potential. Everything you need to get started in DevOps Fundementals: Maven and SonarQube for Engineers is available in this course. Learning and progressing are the hallmarks of personal development. This DevOps Fundementals: Maven and SonarQube for Engineers will quickly teach you the must-have skills needed to start in the relevant industry. In This DevOps Fundementals: Maven and SonarQube for Engineers Course, You Will: Learn strategies to boost your workplace efficiency. Hone your DevOps Fundementals: Maven and SonarQube for Engineers skills to help you advance your career. Acquire a comprehensive understanding of various DevOps Fundementals: Maven and SonarQube for Engineers topics and tips from industry experts. Learn in-demand DevOps Fundementals: Maven and SonarQube for Engineers skills that are in high demand among UK employers, which will help you to kickstart your career. This DevOps Fundementals: Maven and SonarQube for Engineers course covers everything you must know to stand against the tough competition in the DevOps Fundementals: Maven and SonarQube for Engineers field.  The future is truly yours to seize with this DevOps Fundementals: Maven and SonarQube for Engineers. Enrol today and complete the course to achieve a DevOps Fundementals: Maven and SonarQube for Engineers 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 DevOps Fundementals: Maven and SonarQube for Engineers 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 DevOps Fundementals: Maven and SonarQube for Engineers 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 DevOps Fundementals: Maven and SonarQube for Engineers 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 DevOps Fundementals: Maven and SonarQube for Engineers is suitable for anyone aspiring to start a career in DevOps Fundementals: Maven and SonarQube for Engineers; even if you are new to this and have no prior knowledge on DevOps Fundementals: Maven and SonarQube for Engineers, this course is going to be very easy for you to understand.  And if you are already working in the DevOps Fundementals: Maven and SonarQube for Engineers 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 DevOps Fundementals: Maven and SonarQube for Engineers 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 DevOps Fundementals: Maven and SonarQube for Engineers course has no prerequisite.  You don't need any educational qualification or experience to enrol in the DevOps Fundementals: Maven and SonarQube for Engineers 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 DevOps Fundementals: Maven and SonarQube for Engineers course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction Introduction to Maven 00:01:00 Topics Covered in this Course 00:03:00 How Maven Helps to a DevOps Engineer 00:02:00 Resource to Start 00:01:00 Setup Maven Environment on Windows Setup Maven Environment on Windows 00:01:00 Java Installation on Windows 00:05:00 Eclipse Installation 00:03:00 Create 1st Maven Project 00:04:00 Maven Coordinates 00:07:00 Default Directory Structure 00:03:00 Steps Involved to Build a Java Project 00:02:00 Maven Goals 00:06:00 Maven Goals in Action 00:07:00 Maven Goals, Repositories What is pom.xml and How it Works 00:05:00 About the Section 00:02:00 Maven Repositories 00:06:00 Maven goals - Deploy Goal for Local Repository 00:03:00 Push Maven Project onto GitHub 00:08:00 Maven on Linux Create an EC2 Instance 00:04:00 Prerequisites to Setup Maven 00:05:00 Setup Maven 00:04:00 Build Maven Project on Linux 00:10:00 Common Maven Goals 00:03:00 Create a Project with Maven Archetype 00:06:00 Plugins and dependencies in pom.xml 00:09:00 Settings.xml file 00:03:00 Tomcat Server Configurations 00:05:00 Deploy war on Tomcat Server 00:10:00 Maven in DevOps workflow Maven in DevOps workflow 00:01:00 Jenkins Installation 00:07:00 Add Maven Build Server as an Agent to Jenkins 00:07:00 Build Jenkins Job on Slave Node 00:07:00 Build a war file on Agent Node (Maven Server) 00:04:00 Additional Resources Create an AWS account 00:06:00 Install Git bash 00:03:00 Connect to a Linux with Mobaxterm 00:04:00 Install Tomcat 00:11:00 SonarQube SonarQube Introduction 00:07:00 SonarQube Installation 00:11:00 SonarQube Console Overview 00:14:00 SonarQube Installation with PostgreSQL Database 00:29:00 SonarQube Integration with Jenkins 00:15:00

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