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This Leisure management course will teach you how to manage and maintain a leisure facility, including a six-stage facility life cycle, benchmarking, quality management, asset management, operations, and activities. Furthermore, with modules packed with in-depth knowledge, this leisure management course lets you become acquainted with travel and tourism features. This Level 4 Leisure Management course is endorsed by The Quality Licence Scheme and accredited by CPD,(with 120 CPD points) to make your skill development and career progression related to Leisure Management substantial and easier than ever! After finishing this leisure management course, you will learn about managing hotels and accommodations as well as making choices to ensure the efficient running of the firm. In addition, after completing this leisure management course, you will have a better grasp of how to use human resources in the leisure business and how to apply leisure management or tourism marketing tactics. This leisure management course provides the learners with the knowledge of: Leisure industry and its management Discussion of the hotel and lodging sector and how to manage it Leadership skills in the leisure business to their full potential leisure industry's health and safety aspects The methods for managing and maintaining a recreational facility The essential characteristics of high-quality travel, tourist, and leisure facilities How to run a hotel or lodging business The fundamentals of leisure service planning Human Resource Management in the leisure industry leisure and recreation marketing Procedures for health and safety in recreational activities Why Prefer This Leisure Management Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another certificate accredited by CPDQS after completing this course Get a free student ID card! (£10 postal charges will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. ****Course Curriculum**** Here is the curriculum breakdown of this course: Module 01: Introduction In this module, we will cover the following topics: Origin of Leisure in History Leisure in the 21st Century Understanding the Leisure Sector Tourism, Heritage and LeisureThe Environment, Countryside and Open SpaceThe Arts, Museums and LibrariesSport, Physical Recreation and Physical Activity Management Functions in Leisure Sector Career Opportunities in Leisure Sector Module 02: Managing and Maintaining a Leisure Facility In this module, we will cover the following topics: Six-Stage Facility Life-Cycle Benchmarking Steps of Benchmarking Customer Service: Expectations and Perceptions Customer Evaluation Criteria Quality Management Facility Asset Management Goals of Facility Asset Management Operations and Maintenance Sustainable Design Module 03: Travel, Tourism and Leisure In this module, we will cover the following topics: Characteristics of the Tourism Industry Core Industry SectorsTourism Business Factors Affecting Travel and Tourism EconomyPolitics and Government PoliciesSocio-Cultural ConflictsEnvironmentTechnology Tourism Destinations Elements of Influence in Destination Selection The Economic Significance of Tourism Module 04: Managing Hotel and Lodging In this module, we will cover the following topics: Classifications of Hotel Properties Hotels Classified by PriceHotels Classified by FunctionHotels Classified by LocationHotels Classified by Market Segment Major Functional Departments The Front OfficeHousekeepingSecuritySales and MarketingAccountingHuman ResourcesEngineering The Economics of the Hotel Business Dimensions of the Hotel Investment DecisionHotel Cycles and Financial Performance Module 05: Planning for Leisure Services In this module, we will cover the following topics: Planning In Organisations Some Planning Concepts Goal Setting Characteristics of Well-Thought-Out GoalsGoal CongruenceGoals and Policies Planning in Operations Strategic IssuesFrom Strategy to Tactics Individual Worker as Planner Planning as a Personal Process Long-Range Planning Tools Return on InvestmentCost-Benefit Analysis Module 06: Leadership in Leisure Industry In this module, we will cover the following topics: Characteristics of an Ideal Leader Deciding How to Lead Team Leading Goals and Skills Decision Making The Decision-Making Process Coaching, Mentoring and Motivational Leadership Motivational Leadership Module 07: Human Resource Management in Leisure Industry In this module, we will cover the following topics: Importance of HRM Tourism and HRM Human Resource Development Strategy Training Types and Levels of TrainingFuture Training Needs Rewards, Bonus, and Compensation Human Resource Information System Module 08: Marketing of Leisure and Recreation In this module, we will cover the following topics: Understanding the Marketing Process Understanding the Marketplace and Customer NeedsDesigning Customer Value-Driven Marketing StrategyPreparing an Integrated Marketing PlanBuilding Customer RelationshipsCapturing Value from Customers Developing Marketing Opportunities and Strategies Gaining Knowledge about the Marketing EnvironmentManaging Customer Information to Gain Customer InsightsConsumer Markets and Consumer Buying BehaviourOrganisational Buyer Behaviour Developing the Marketing Value-Driven Strategy and Mix Designing and Managing Products and BrandsInternal MarketingPricingDistribution Channels Delivering Customer ValueEngaging Customers and Communicating Customer Value and AdvertisingPromoting Products Managing Leisure and Tourism Marketing Marketing Tourism DestinationsCommunicating with the Tourist MarketOrganising and Managing Tourism Marketing Module 09: Health, Safety and Welfare In this module, we will cover the following topics: Health and Safety for Leisure Activities The Purpose of the Health and Safety Regulations The Basics of Health and Safety in an Organisation Health and Safety Law for Leisure Activities Health and Safety Law for Swimming Pools Health and Safety Law for Sports Club Organisers Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. 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. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Travel Agency Owner Airline customer service agent Tourist information centre assistant Care escort Requirements The Leisure Management software does not require any prior knowledge; everyone may participate! This course is open to anyone who is interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your own speed and grow a quality skillset. Career path Travel agent (£18,000 to £27,000) Travel agency manager (£20,000 to £40,000) Tourist guide (£18,000 to £30,000) Tour manager (£16,000 to £30,000) Certificates CPD Accredited Certificate Digital certificate - £10 Diploma in Leisure Management at QLS Level 4 Hard copy certificate - £99 After successfully completing the Diploma in Leisure Management at QLS Level 4 course, 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 - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

This Microsoft Office 2007 Excel Intermediate will provide you with experience at creating more elaborate worksheet and workbooks n Microsoft Office Excel 2007 to display data in more effective ways. In this series you will work with multiple worksheets and workbooks, you will learn how to switch between workbooks and even copy worksheets, you will also get 3D formulas: 3D formulas will allow you to link the worksheets, and also add something call the Watch-Window. You will learn to create and manage all these linked workbooks as well as creating workspaces which will allow you to manage the workbook as well. Before getting this course you must have the basic skills of Microsoft Excel 2007. This level will give you an advanced knowledge you need to know about Microsoft Excel. Who is this Course for? Microsoft Office 2007 Excel Intermediate is perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Course Curriculum Using Multiple Worksheets and Workbooks Using Multiple Workbooks 00:04:00 Linking Worksheets with 3-D Formulas 00:06:00 Linking Workbooks 00:11:00 Managing Workbooks 00:04:00 Advanced Formatting Using Special Number Formats 00:17:00 Using Functions to Format Text 00:13:00 Working with Styles 00:07:00 Working with Themes 00:11:00 Other Advanced Formatting 00:13:00 Outlining and Subtotals Outlining and Consolidating Data 00:11:00 Creating Subtotals 00:06:00 Cell and Range Names Creating and Using Names 00:12:00 Managing Names 00:04:00 Lists and Tables Examining Lists 00:03:00 Sorting and Filtering Lists 00:07:00 Advanced Filtering 00:12:00 Working with Tables 00:22:00 Web and Internet Features Saving Workbooks as Web Pages 00:11:00 Using Hyperlinks 00:04:00 Distributing Workbooks 00:03:00 Advanced Charting Chart Formatting Options 00:08:00 Combination Charts 00:05:00 Graphic Elements 00:09:00 Documenting and Auditing Auditing Features 00:05:00 Creating A Body Of Work 00:03:00 Protection 00:05:00 Workgroup Collaboration 00:13:00 Templates and Settings Application Settings 00:05:00 Built-in Templates 00:07:00 Creating and Managing Templates 00:10:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer

This comprehensive course on AWS Certified Cloud Practitioner (CLF-C01) empowers you to fast-track your IT career. Gain in-depth knowledge of cloud computing, AWS services, and architectural concepts. With hands-on labs, quizzes, and real practice exams, you will confidently build cost-effective, fault-tolerant IT solutions on the AWS Cloud.

Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course are as follows: Technical professionals, including system engineers, technical support personnel, channel partners, and resellers, who need to know how to deploy Cisco ASR 9000 Series routers in their network environment Overview Upon completing this course, the learner will be able to meet these overall objectives: Major features and benefits of a Cisco ASR 9000 Series router Major features and benefits of the Cisco IOS XR Software operating system Data flow through the Cisco ASR 9000 Series router Configure the Cisco ASR 9000, back out of configuration changes, and restore older versions of the configuration Install the Cisco IOS XR operating system, package information envelopes (PIEs), and software maintenance updates (SMUs) Enable multicast routing on a Cisco ASR 9000 Series router Configure Multiprotocol Label Switch-Traffic Engineering (MPLS-TE) on a Cisco ASR 9000 Series router Configure Layer 3 VPN services Configure Ethernet link bundles Configure local E-Line L2VPN Configure Ethernet over MPLS E-Line L2VPN Configure EoMPLS with pseudowire backup Configure local E-LAN L2VPN Configure link-based Ethernet operations, administration, and maintenance (E-OAM) Configure virtual private LAN service (VPLS) L2VPN Configure VPLS with Border Gateway Protocol (BGP) autodiscover Configure service-based connectivity fault management (CFM) Multiple Spanning Tree-Access Gateway (MST-AG) Configure Layer 2 multicast features Basic QoS implementation How to configure and verify network virtualization (nV) on the ASR 9000 series In this 4-day course, Cisco Aggregation Services Router 9000 Series Essentials (ASR9KE), you will learn about the features and functions of the Cisco ASR 9000 Series platforms. Through a combination of lecture and hands-on labs, you will gain an understanding of all major aspects of the platform, including hardware; software; Layer 2 and Layer 3 services; Layer 2 and Layer 3 multicast; operations, administration, and management (OAM); quality of service (QoS) features; and network virtualization. Course Outline Introduction to the Cisco ASR 9000 Aggregation Series Cisco ASR 9000 Hardware Cisco IOS XR Software Overview Cisco IOS XR Software Basics Cisco IOS XR Software Installation Cisco IOS XR Software Operations Cisco IOS XR Routing Protocols Layer 3 Multicast Cisco IOS XR MPLS Cisco IOS XR Layer 3 VPN Cisco ASR 9000 Layer 2 Architecture Cisco ASR 9000 Point-to-Point Layer 2 Services Cisco ASR 9000 Multipoint Layer 2 Services Cisco ASR 9000 Operations, Administration, and Maintenance Cisco ASR 9000 Layer 2 Multicast Cisco ASR 9000 QoS Cisco ASR 9000 Network Virtualization Additional course details: Nexus Humans Cisco ASR 9000 Aggregation Services Router Series Essentials v6.1 (ASR9KE) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco ASR 9000 Aggregation Services Router Series Essentials v6.1 (ASR9KE) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for The audience includes System administrators, IT administrators, Maintenance personnel, Procurement personnel, Inventory personnel, Asset managers and work managers. The audience also includes consultants that are looking to gain an understanding of Maximo Asset Management 7.6.x. Overview After completing this course, you should be able to perform the following tasks: Describe the Asset Management Lifecycle in Maximo Query and Retrieve Data Describe options available for various applications Describe and use the different Maximo applications and functions as they relate to business processes Enter core data elements and data structures This course helps clients to make informed business decisions with the design and planning of their implementation. Consultants gain a foundation on which to build their product knowledge and skill set. The foundation also helps in working with clients to obtain optimal value from the product. It provides the fundamental concepts and setup considerations of the various business areas that Maximo supports and, as a bonus section, the new Work Center functionality. This course consists of lectures, demonstrations, and labs that cover applications, processes and interrelationships within Maximo. IBM Maximo Asset Management Overview This unit provides a high-level overview of IBM Maximo Asset Management framework architecture and its key element and components. You learn about strategic asset management with IBM Maximo Asset Management to manage assets through their life cycle. You also discuss implementation considerations and system configuration as they pertain to integrations, reporting, and business processes. Item Planning and Setup This unit focuses on the planning and setup of inventory item and asset configurations. You use the applications to set up inventory items and asset configurations in Maximo. Assets This unit focuses on the creation of assets and how they are used in Maximo Asset Management. You will learn the applications that can create assets, associate assets to people and locations and learn how to move assets between locations. Work Management This unit focuses on learning to use Maximo for work management with the generation and processing of work orders to completion. This unit will include the new Work Centers that came available in Maximo 7.6.0.5. Work Centers are made available for Business Analyst, Supervisors and Workers complete the work order tasks. We will also look at the new Inspection Form tool. Purchasing This unit focuses on learning to use Maximo for procurement, starting with generating purchase requests, then processing them, and completing them. Developer and System Administration Each lesson in this unit focuses on different aspects of entering records into the database. This unit is also an overview of the different applications and setup options that are available with IBM Maximo Asset Management. The focus is on using applications that are primarily used for building (setting up) the database. Additional course details: Nexus Humans U5TR572 - IBM Maximo Asset Management Fundamentals v7.6.x training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the U5TR572 - IBM Maximo Asset Management Fundamentals v7.6.x course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for the following roles: Network engineers Network security engineers Network architects Sales/presales engineers Overview After taking this course, you should be able to: Describe Cisco SD-WAN security functions and deployment options Understand how to deploy on-premises threat prevention Describe content filtering options Implement secure Direct Internet Access (DIA) Explain and implement service chaining Explore Secure Access Service Edge (SASE) and identify use cases Describe Cisco Umbrella Secure Internet Gateway (SIG) and deployment options Implement Cisco Umbrella SIG and Domain Name System (DNS) policies Explore and implement Cloud Access Security Broker (CASB) and identify use cases (including Microsoft 365) Describe how to use Cisco ThousandEyes to monitor cloud services Configure Cisco ThousandEyes to monitor Microsoft 365 applications Examine how to protect and optimize access to the Software as a Service (SaaS) application with Cisco SD-WAN Cloud OnRamp Describe and deploy Cloud OnRamp for multi-cloud, including interconnect and colocation use cases Examine Cisco SD-WAN monitoring capabilities and features with vManage and vAnalytics The Implementing Cisco SD-WAN Security and Cloud Solutions (SDWSCS) v1.0 course is an advanced training course focused on Cisco SD-WAN security and cloud services. Through a series of labs and lectures you will learn about on-box security services, including application-aware enterprise firewall, intrusion prevention, URL filtering, malware protection, and Transport Layer Security (TLS) or Secure Socket Layer (SSL) decryption. You will also learn about cloud integration with multiple cloud service providers across multiple use cases. Additionally, the course labs will allow you to configure and deploy local security services and cloud security services with the Cisco Umbrella Secure Internet Gateway (SIG), as well as integrate the Cisco SD-WAN fabric with a cloud service provider using the Cisco vManage automated workflows. The course lab environment is built using Cisco Catalyst 8000v IOS XE routers and Cisco SD-WAN 20.7 code, and it includes the integration of Cisco FirePOWER Threat Defense for network security and Cisco ThousandEyes for network monitoring. The course will allow you to earn 24 Continuing Education (CE) credits toward recertification. Course Outline Introducing Cisco SD-WAN Security Deploying On-Premises Threat Prevention Examining Content Filtering Exploring Cisco SD-WAN Dedicated Security Options Examining Cisco SASE Exploring Cisco Umbrella SIG Securing Cloud Applications with Cisco Umbrella SIG Exploring Cisco SD-Wan ThousandEyes Optimizing SaaS Applications Connecting Cisco SD-WAN to Public Cloud Examining Cloud Interconnect Solutions Exploring Cisco Cloud OnRamp for Colocation Monitoring Cisco SD-WAN Cloud and Security Solutions Additional course details: Nexus Humans Cisco SD-WAN Security and Cloud Onboarding v1.0 (SDWSCS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco SD-WAN Security and Cloud Onboarding v1.0 (SDWSCS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Description Windows 10 comes with different and effective features. But most often users get in trouble. Don't worry. Our Windows 10 End User course will assist you to learn all the difficulties in very easy ways. The Windows 10 End User course incorporates some basic issues of Microsoft Windows 10 operating methods to make you acquainted with its functions. The course assists you to know how to customize, personalize, and execute different areas of Windows 10. It teaches you also how to explore files, maps, operate mail, calendar, and weather features. It also teaches how to update, install, and find out troubleshoot from the applications. He makes you familiar with different programs like Microsoft Word, Excel, and PowerPoint etc. it teaches you internet browsing and other effective relevant features. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Windows 10 End User is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Windows 10 End User is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Module: 01 Introduction FREE 00:01:00 Logging In 00:02:00 The Startup Screen 00:03:00 Exploring the Desktop 00:02:00 General Navigation 00:04:00 Introducing the Action Center and Control Panel 00:02:00 Launching Applications 00:03:00 Interacting with Windows 00:06:00 Quitting Applications 00:04:00 Pinning Applications 00:03:00 Customizing the Start Menu 00:03:00 Module: 02 Customizing the Task Bar 00:02:00 Multitasking to Switch Between Multiple Applications 00:03:00 Managing several deskstops Using Task View 00:03:00 Overview of the drive and folder structure 00:04:00 Using Navigation Pane, Details Pane, Preview Pane 00:04:00 Menus and Ribbons 00:03:00 Viewing and Editing File Properties_Revised 00:04:00 Creating Files 00:06:00 Selecting, Moving, and Copying Files_Revised 00:06:00 Renaming Files and Folders 00:03:00 Deleting and Restoring from the Recycle Bin 00:05:00 Module: 03 Create and use shortcuts_Revised 00:05:00 Zip and Unzip 00:07:00 Changing the Sort and Group by 00:06:00 Add Columns to the Explorer View 00:04:00 Creating and Using a Library 00:07:00 Pin Frequent Places Customizing File Explorer 00:04:00 Configuring Files and Explore Options 00:03:00 Logging In or Setting Up OneDrive 00:02:00 Storing and acessing files on OneDrive 00:03:00 Sharing Files Through OneDrive 00:05:00 Syncing Files on OneDrive 00:03:00 Module: 04 Browsing the Web 00:02:00 Customize Top Sites 00:02:00 Using Tabs 00:03:00 Add and Use Favorites 00:03:00 Organize Favorites with Folders 00:02:00 Background Settings 00:04:00 Lock Screen 00:02:00 Change Windows Themes 00:02:00 Personalize Start 00:04:00 Change Screen Resolution 00:02:00 Module: 05 Adjust Notifications and Actions 00:02:00 Course Recap Complete 00:01:00 Course Recap Complete 00:01:00 Mail Send a Message 00:04:00 Adding & Editing- Contacts & Accounts 00:05:00 People Search Link and Share Contacts 00:04:00 Calendar Configuring and Viewing 00:04:00 Calendar Changing Views Creating and Editing Events 00:07:00 Weather Add Favorite Locations and Viewing the Weather 00:04:00 Adjust Audio Settings 00:02:00 Managing Accounts and Sign In Options 00:03:00 Module: 06 Weather- Viewing Historical Data nad Weather Maps 00:03:00 Installing Applications from the Windows Store 00:03:00 Tablet Mode 00:03:00 Using Saving Sharing Web Notes 00:04:00 Downloading Files 00:02:00 Viewing and Clearing History 00:02:00 Cortana Setup 00:03:00 Using Cortana 00:03:00 Maps- Search Get Directions Choose View 00:04:00 Maps- Search Tips and Favorites 00:04:00 Module: 07 Maps- More Search Tips and Map Settings 00:03:00 Photos - Browsing_REVISED 00:05:00 Photos - Using Editing Tools_REVISED 00:04:00 Mail- Add Accounts 00:05:00 Mail- Personalizing and Configuring- 00:04:00 Installing Applications From the Web 00:03:00 Setting Application Defaults 00:03:00 Setting App Privacy and Permissions 00:02:00 Uninstalling Applications 00:01:00 Configure Windows Defender and Windows Updates 00:02:00 Module: 08 Backing Up and Restoring Files and Using Recover to Reset Your PC 00:07:00 Access Task Manage 00:02:00 Accessing the Action Center to View Messages 00:02:00 Manage Sleep and Screen Saver 00:03:00 Managing Devices 00:03:00 Change Type Settings 00:01:00 Adjust Mouse and Touchpad Settings 00:03:00 Adjust Autoplay Settings 00:02:00 Adding Files to a Library 00:09:00 Change Default Storage Locations 00:02:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00