215 Courses in Liverpool delivered Live Online

Duration 3 Days 18 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Explain and apply the fundamental techniques for launching and maintaining an intelligence-driven, multiplatform endpoint management solution with Workspace ONE UEM Outline the components of Workspace ONE UEM Explain the general features and functionality enabled with Workspace ONE UEM Summarize the basic Workspace ONE administrative functions Explain and deploy common Workspace ONE integrations Securely deploy configurations to Workspace ONE UEM managed devices Onboard device endpoints into Workspace ONE UEM Summarize the alternative management methodologies for rugged devices Discuss strategies to maintain environment and device fleet health Configure and deploy applications to Workspace ONE UEM managed devices Analyze a Workspace ONE UEM deployment Enable email access on devices Integrate Workspace ONE UEM with content repositories and corporate file shares In this three-day course, you learn how to apply the fundamental techniques for launching and maintaining an intelligence-driven, multiplatform endpoint management solution with VMware Workspace ONE© UEM. Through a combination of hands-on labs, simulations, and interactive lectures, you will configure and manage the endpoint life cycle. After the three days, you will have the foundational knowledge for effectively implementing Workspace ONE UEM. Course Introduction Introductions and course logistics Course objectives Platform Architecture Summarize the features and functionality of Workspace ONE UEM Outline the benefits of leveraging Workspace ONE UEM Recognize the core and productivity components that make up the Workspace ONE UEM platform Summarize high availability and disaster recovery for Workspace ONE Solution Administration Navigate and customize the Workspace ONE UEM console Summarize the hierarchical management structure Explain the features and functions of Workspace ONE Hub Services Outline account options and permissions Enterprise Integrations Outline the process and needs to integrate with directory services Explain certificate authentication and practical implementation with Workspace ONE Explain the benefits of integrating an email SMTP service into the Workspace ONE UEM console Describe VMware Dynamic Environment Manager and its architecture Onboarding Outline the prerequisite configurations in the Workspace ONE UEM environment for onboarding devices for management Outline the steps for setting up autodiscovery in the Workspace ONE UEM console Enroll an endpoint through the VMware Workspace ONE© Intelligent Hub app Summarize platform onboarding options Managing Endpoints Explain the differences between device and user profiles Describe policy management options for Windows 10 and macOS Describe the functions and benefits of using compliance policies Explain the use case for Freestyle Orchestrator Describe the capabilities that sensor and scripts enable. Alternative Management Methods Describe the function and benefits of device staging Configure product provisioning in the Workspace ONE UEM console Understand the benefits of deploying a VMware Workspace ONE© Launcher? configuration to Android devices List the system and device requirements for Linux device management in Workspace ONE UEM Applications Describe the features, benefits, and capabilities of application management in Workspace ONE UEM Understand and configure deployment settings for public, internal, and paid applications in the Workspace ONE UEM console Describe the benefits of using Apple Business Manager content integration Describe the benefits of using server-to-client software distribution List the functions and benefits of VMware Workspace ONE© SDK Device Email List email clients supported by Workspace ONE UEM Configure an Exchange Active Sync profile in the Workspace ONE UEM console Configure VMware Workspace ONE© Boxer settings Summarize the available email infrastructure integration models and describe their workflows Configure email compliance policies and notifications services Content Sharing Describe the benefits of using Content Gateway and the Content Gateway workflows Describe the benefits of integrating content repositories with Workspace ONE UEM Configure a repository in the Workspace ONE UEM console Maintenance Manage endpoints from the Device List view and the Details view. Analyze endpoint deployment and compliance data from Workspace ONE UEM Monitor page.

Duration 3 Days 18 CPD hours This course is intended for Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform Overview This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment. Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Best Practices for Application Development Code and environment management. Design and development of secure, scalable, reliable, loosely coupled application components and microservices. Continuous integration and delivery. Re-architecting applications for the cloud. Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK. Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials. Overview of Data Storage Options Overview of options to store application data. Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner. Best Practices for Using Cloud Firestore Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling. Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow. Lab: Store application data in Cloud Datastore. Performing Operations on Cloud Storage Operations that can be performed on buckets and objects. Consistency model. Error handling. Best Practices for Using Cloud Storage Naming buckets for static websites and other uses. Naming objects (from an access distribution perspective). Performance considerations. Setting up and debugging a CORS configuration on a bucket. Lab: Store files in Cloud Storage. Handling Authentication and Authorization Cloud Identity and Access Management (IAM) roles and service accounts. User authentication by using Firebase Authentication. User authentication and authorization by using Cloud Identity-Aware Proxy. Lab: Authenticate users by using Firebase Authentication. Using Pub/Sub to Integrate Components of Your Application Topics, publishers, and subscribers. Pull and push subscriptions. Use cases for Cloud Pub/Sub. Lab: Develop a backend service to process messages in a message queue. Adding Intelligence to Your Application Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API. Using Cloud Functions for Event-Driven Processing Key concepts such as triggers, background functions, HTTP functions. Use cases. Developing and deploying functions. Logging, error reporting, and monitoring. Managing APIs with Cloud Endpoints Open API deployment configuration. Lab: Deploy an API for your application. Deploying Applications Creating and storing container images. Repeatable deployments with deployment configuration and templates. Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments. Execution Environments for Your Application Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run. Lab: Deploying your application on App Engine flexible environment. Debugging, Monitoring, and Tuning Performance Application Performance Management Tools. Stackdriver Debugger. Stackdriver Error Reporting. Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting. Stackdriver Logging. Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technical professionals who need to know how to deploy Cisco ASR 9000 Series routers in their network environment. The primary audience for this course includes: System engineers Technical support personnel Channel partners, resellers Overview After taking this course, you should be able to: List and describe the major features and benefits of a Cisco ASR 9000 Series router List and describe the major features and benefits of the Cisco 64-Bit IOS XR operating system Understand data flow through the Cisco ASR 9000 Series router Configure Cisco ASR 9000, back out of configuration changes, and restore older versions of the configuration Install the Cisco IOS XR 64-Bit Software operating system, package information envelopes, and software maintenance updates Enable multicast routing on a Cisco ASR 9900 Series router Configure Layer 3 VPN services Configure Ethernet link bundles Configure local Ethernet Line (E-Line) Layer 2 VPN (L2VPN) Configure Ethernet over Multiprotocol Label Switching (EoMPLS) E-Line L2VPN Configure EoMPLS with pseudowire backup Configure local Ethernet LAN(E-LAN) L2VPN Describe Virtual Private LAN Service (VPLS) L2VPN Describe VPLS with Border Gateway Protocol (BGP) autodiscovery Configure service-based Connectivity Fault Management (CFM) Configure Layer 2 multicast features Describe basic QoS implementation Describe how to configure and verify network Virtualization (nV) on the ASR 9000 series The Cisco Aggregation Services Router 9000 Series Essentials (ASR9KE) v6.0 course introduces you to the features and functions of the Cisco© Aggregation Services Router (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, Layer 2 and Layer 3 services, routing protocols including Segment Routing, Layer 2 and Layer 3 multicast, Quality of Service (QoS) features, and network virtualization. The course investigates Cisco Internetworking Operating System (IOS) XR 64-Bit Linux-based feature parity in the environment, as well as how to install Cisco IOS© XR 64-Bit software packages. Cisco ASR 9000 Series Hardware Examining the Cisco ASR 9000 Series Chassis Examining the Cisco ASR 9000 Series Architecture Examining the Route Switch Processor/ Route Processor (RSP/RP) Functions and Fabric Architecture Examining the Cisco ASR 9000 Series Line Card Examining the Cisco ASR 9000 Power Subsystems Cisco IOS XR 64-Bit Software Architecture and Linux Fundamentals Cisco IOS XR 64-Bit Software Fundamentals Cisco ASR 9000 IOS XR 64-Bit vs. 32-Bit Exploring Linux Fundamentals Cisco IOS XR 64-Bit Software Installation Examining Resource Allocations and Media Mappings Migrating to Cisco IOS XR 64-Bit Software Performing Disaster Recovery Installing Software Packages Cisco IOS XR 64-Bit Software Configuration Basics Configuring Cisco IOS XR 64-Bit Basic Operations Cisco IOS XR 64-Bit Initial Configuration Reviewing the Configuration Cisco IOS XR 64-Bit Software Routing Protocols Exploring Intermediate System to Intermediate System (IS-IS) Exploring OSPF Exploring BGP Exploring Routing Protocol for LLN Multicast Routing Exploring Multicast Routing Exploring Protocol Independent Multicast (PIM) Cisco Multiprotocol Label Switching Examining the MPLS Forwarding Infrastructure Implementing the MPLS Label Distribution Protocol (LDP) Cisco IOS XR 64-Bit Segment Routing Segment Routing Concepts Interior Gateway Protocol Segment Routing (IGP SR) Control Plane Overview Prefix and Adjacency Segment IDs (SIDs) SR IS-IS Multi-Level and OSPF Multi-Area IS-IS SR Configuration and Verification OSPF SR Configuration and Verification Layer 3 VPNs Examining L3VPNs Exploring L3VPN Control and Data Flow Configuring L3VPNs Verifying the L3VPN Operation Cisco ASR 9000 Layer 2 Architecture Examining Carrier Ethernet and Flexible Ethernet Edge Comparing Layer 2 and Layer 3 VPNs Examining the ASR 9000 Layer 2 Infrastructure and Ethernet Flow Points (EFPs) Layers 2 and 3 Coexistence and VLAN Tag Manipulation Exploring the Layer 2 Network Infrastructure Point-to-Point Layer 2 Services Point-to-Point Alternating Current-Alternating Current (AC-AC) and Attachment Circuit Redundancy Point-to-Point AC-Pseudowire (PW) Cross-Connect Examining Pseudowire Redundancy and Resiliency Layer 2 Multicast Examining the Cisco ASR 9000 Series Multicast Implementing Multicast Quality of Service QoS Basics and the Modular QoS CLI (MQC) Mode Layer 2 QoS Example

Duration 1 Days 6 CPD hours This course is intended for Technical leaders Overview This course provides general overview of Blockchain technology and is specifically designed to answer the following questions:What is Blockchain? (What exactly is it?)Non-Technical Technology Overview (How does it work?)Benefits of Blockchain (Why should anyone consider this?)Use Cases (Where and for what apps is it appropriate?)Adoption (Who is using it and for what?)Implementation (How do I get started?)Future of Blockchain (What is its future?) This instructor-led 1 day Blockchain Architecture training is for technical leaders who need to make decisions about architecture, environment, and development platforms. What is Blockchain? A record keeping system Trust Decentralization Trustless environment How does Blockchain work? Announcements Blocks Nodes Chaining Verification Consensus Scalability Privacy Crypto Hashing Digital Fingerprinting PoW vs PoS Types of Blockchains Public vs Private Open vs closed Smart Contracts Blockchain as History Tokens / Coins Gas How is Blockchain different from what we have today? Decentralized Peer-to-peer architecture Software vs Firmware Database vs Blockchain Distributed database or other technology? Data Sovereignty Group Consensus What are Use Cases for Blockchain? Use Case Examples Currency Banking Services Voting Medical Records Supply Chain / Value Chain Content Distribution Verification of Software Updates (cars, planes, trains, etc) Law Enforcement Title and Ownership Records Social Media and Online Credibility Fractional asset ownership Cable Television billing High fault tolerance DDoS-proof Public or Private Blockchain? Who are the participants? What does a Blockchain app look like? DApp Resembles typical full stack web application Any internal state changes and all transactions are written to the blockchain Node.js IDE Public Blockchain visibility Private Blockchain solutions Oracles How do I design a Blockchain app? What does this solution need to let users do? Will the proposed solution reduce or remove the problems and pain points currently felt by users? What should this solution prevent users from doing? Do you need a solution ready for heavy use on day 1? Is your solution idea enhanced by the use of Blockchain? Does the use of Blockchain create a better end-user experience? If so, how? Has your business developed custom software solutions before? What level of support are you going to need? How big is the developer community? Does your vision of the future align with the project or platform's vision of the future? Does the platform aim to make new and significant contributions to the development space, or is it an efficiency / cost play? Should the solution be a public or private Blockchain? Should the solution be an open or closed Blockchain? Create a plan for contract updates and changes! Hybrid solutions Monetary exchanges? How do I develop a Blockchain app? AGILE approach pre-release Define guiding principles up front Software vs Firmware Announcements, not transactions! Classes, not contracts Link contracts to share functions Use calling contracts to keep contract address the same Hyperledger vs Ethereum CONSIDER No of Users * Avg No of Transactions (state changes) per User Should a Blockless solution be applied? Performance Security Anonymity Security Monolithic vs Modular Sandwich complexity model How do I test a Blockchain app? Recommend 5x to 10x traditional application testing time Security Networks Additional course details: Nexus Humans Blockchain - An Overview for Business Professionals 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 Blockchain - An Overview for Business Professionals 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 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, and Business Process Owners/Team Leads/Power Users. Overview Participants learn how production orders are used, and which main system setting must be made for production order execution. In this course, students learn how production orders are used and which main system setting must be made for production order execution. Introduction to Production Orders Outlining SAP Supply Chain Management Outlining Production Orders Applying Production Orders in Supply Chain Management Order Processing and Order Structure Processing Production Orders Analyzing the Production Order Structure Order Creation Creating Production Orders Without Master Data Creating Production Orders Based on Planned Orders Creating Production Orders Without Planned Orders Defining Order Types Creating Production Orders with Master Data Scheduling Production Orders Costing of Production Orders Order Release Checking Material Availability Checking Capacity Availability Checking Production Resource/Tool Availability Planning Capacities Releasing Production Orders Order Documents Setting Up Order Print Control Printing Production Orders Material Staging Staging Material Withdrawing Material Confirmations Setting Parameters for Confirmations Executing Confirmations Good Receipt Preparing Goods Receipts Posting Goods Receipts Order Settlement, Archiving, & Deletion Settling Production Orders Archiving and Deleting Production Orders Information Systems and Automation Applying Information Systems Automating Production Orders and Mass Processing Applying Collective Orders Applying Trigger Points Extended Functionality and Enhancements Applying Order Split Applying Shift Reports and Shift Notes Applying Work-in-Process (WIP) Batches Applying SAP Execution Steps (XSteps) for Routings and Production Orders Outlining the Production Planning-Plant Data Collection (PP-PDC) Interface Outlining SAP Manufacturing Integration and Intelligence (SAP MII) in Shop Floor Control Applying Handling Units in Production

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Process Architects, Business Process Owners/Team Leads/Power Users, Data Consultants/Managers, and Solution Architects. Overview Students will set up and deliver their own master data from SAP ERP to SAP SCM (APO), and make any necessary master data enhancements to ensure proper planning results in APO.Students will complete the modeling of their supply chain by creating APO master data that is necessary to activate a fully functional Supply Chain in APO. In this course, students learn how to set up and configure the standard interface between the SAP ERP system and SAP SCM with focus on SAP APO. Integration for Supply Chain Modeling Integrating SAP ERP and SAP SCM Configuring an Integration Model Using Monitoring and Error-Processing Tools Setting Up Incremental Data Transfers for Master Data Changes Organizing Integration Models Performing Routine Operations with Background Processing Supply Chain Locations Managing Locations Integrating Plant Data Integrating MRP Areas Managing Transportation Zones Integrating Customers as Locations Integrating Vendors as Locations Integrating Factory Calendars and Time Streams Supply Chain Products Integrating Products Maintaining Product Data External Procurements Relationships Integrating Purchasing Information Records Integrating Scheduling Agreements Network Modeling Creating Means of Transportation Creating Transportation Lanes Supply Chain Resources Integrating Production Resources Creating Supply Chain Management (SCM)-Specific Resources Integrating Capacity Variants Integrating Setup Groups and Matrices Manufacturing Process Modeling Preparing Integration of Master Data Mapping Bill of Materials (BOM) Fields Mapping the Routings Fields Integrating Production Master Data Transferring a Master Recipe to a Production Process Model (PPM) Transferring Characteristics and Classes Quota Arrangement Creating Quota Arrangements Supply Chain Modeling Creating an SAP liveCache Model Creating a Version in SAP SCM Using the Supply Chain Engineer (SCE) Transactional Data Integration Integrating Transactional Data Supply Chain Subcontracting Preparing Master Data for Subcontracting

Logistics Management at QLS Level 5 Course Overview The "Logistics Management at QLS Level 5" course offers an in-depth exploration of the logistics industry, focusing on key aspects such as supply chain management, transport planning, and inventory control. Learners will gain a solid understanding of how logistics fits within the broader business context and its impact on organisational efficiency. The course is designed to provide both theoretical knowledge and strategic insights, ensuring that learners are equipped to optimise logistics processes in a variety of settings. Upon completion, learners will have the tools to contribute effectively to logistics and supply chain roles within diverse industries. Course Description This course delves into the complexities of logistics management, covering essential topics such as sourcing, purchasing, and procurement, as well as supplier relationship management. Students will also explore transport management, warehousing principles, and inventory planning, with a strong focus on enhancing operational efficiency. By addressing both the tactical and strategic components of logistics, learners will develop essential skills in negotiation, customer service, and distribution channels. The course is structured to provide a comprehensive understanding of logistics management within the context of modern business operations, preparing learners for roles that demand expertise in managing logistics and supply chain systems. Logistics Management at QLS Level 5 Curriculum Module 01: Introduction to Logistic Management Module 02: Planning Framework for Logistics Module 03: Supply Chain Management Module 04: Logistics Management and Organisation Module 05: Sourcing, Purchasing, and Procurement Module 06: Channels of Distribution Module 07: Supplier Relationship Management Module 08: Inventory Planning and Management Module 09: Principles of Warehousing Module 10: Transport Management Module 11: Negotiation Techniques Module 12: Customer Service and Logistics (See full curriculum) Who is this course for? Individuals seeking to advance in logistics or supply chain management. Professionals aiming to enhance their expertise in operational efficiency. Beginners with an interest in logistics and supply chain management. Those aspiring to take on leadership roles in logistics or procurement. Career Path Logistics Manager Supply Chain Coordinator Transport Planner Warehouse Operations Supervisor Procurement Manager Distribution Manager Inventory Control Specialist

Duration 3 Days 18 CPD hours This course is intended for Typical candidates for this course are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies. Overview After you successfully complete this course, expect to be able to: Explain how Aruba's wireless networking solutions meet customers' requirements Explain fundamental WLAN technologies, RF concepts, and 802.11 Standards Learn to configure the Mobility Master and Mobility Controller to control access to the Employee and Guest WLAN Control secure access to the WLAN using Aruba Firewall Policies and Roles Recognize and explain Radio Frequency Bands and channels, and the standards used to regulate them Describe the concept of radio frequency coverage and interference and successful implementation and diagnosis of WLAN systems Identify and differentiate antenna technology options to ensure optimal coverage in various deployment scenarios Describe RF power technology including, signal strength, how it is measured and why it is critical in designing wireless networks Learn to configure and optimize Aruba ARM and Client Match and Client Insight features Learn how to perform network monitoring functions and troubleshooting This course teaches the knowledge, skills and practical experience required to set up and configure a basic Aruba WLAN utilizing the OS 8.X architecture and features. Using lecture and labs, this course provides the technical understanding and hands-on experience of configuring a single Mobility Master with one controller and AP Aruba WLAN. Participants will learn how to use Aruba hardware and ArubaOS to install and build a complete, secure controller network with multiple SSIDs. This course provides the underlying material required to prepare candidates for the Aruba Certified Mobility Associate (ACMA) certification exam. WLAN Fundamentals Describes the fundamentals of 802.11, RF frequencies and channels Explain RF Patterns and coverage including SNR Roaming Standards and QOS requirements Mobile First Architecture An introduction to Aruba Products including controller types and modes OS 8.X Architecture and features License types and distribution Mobility Master Mobility Controller Configuration Understanding Groups and Subgroups Different methods to join MC with MM Understanding Hierarchical Configuration Secure WLAN configuration Identifying WLAN requirements such as SSID name, encryption, authentication Explain AP groups structure and profiles Configuration of WLAN using the Mobility Master GUI AP Provisioning Describes the communication between AP and Mobility controller Explain the AP booting sequence and requirements Explores the APs controller discovery mechanisms Explains how to secure AP to controller communication using CPSec Describes AP provisioning and operations WLAN Security Describes the 802.11 discovery, authentication and association Explores the various authentication methods, 802.1x with WPA/WPA2, Mac auth Describes the authentication server communication Explains symmetric vs asymmetric Keys, encryption methods WIPS is described along with rogue discovery and protection Firewall Roles and Policies An introduction into Firewall Roles and policies Explains Aruba?s Identity based Firewall Configuration of Policies and Rules including aliases Explains how to assign Roles to users Dynamic RF Management Explain how ARM calibrates the network selecting channels and power settings Explores OS 8.X Airmatch to calibrate the network How Client Match and ClientInsight match steers clients to better APs Guest Access Introduces Aruba?s solutions for Guest Access and the Captive portal process Configuration of secure guest access using the internal Captive portal The configuration of Captive portal using Clearpass and its benefits Creating a guest provisioning account Troubleshooting guest access Network Monitoring and Troubleshooting Using the MM dashboard to monitor and diagnose client, WLAN and AP issues Traffic analysis using APPrf with filtering capabilities A view of Airwaves capabilities for monitoring and diagnosing client, WLAN and AP issues Additional course details: Nexus Humans Aruba Mobility Fundamentals, Rev. 20.11 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 Aruba Mobility Fundamentals, Rev. 20.11 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 Project team members & Consultants In this course, students become familiar with logistics invoice verification as the final stage in the external procurement process. Students also learn how to enter invoices relating to purchase orders, block them, and release them for payment. Course Outline Introduction to invoice verification Invoice entry and parking Taxes, cash discounts, and foreign currency Invoices for purchase orders with account assignment Variances with and without reference to an item, invoice blocking reasons Invoice reduction, releasing blocked invoices Delivery costs Subsequent debits and credits Credit memos and cancellations Invoice verification in the background Automated processing GR/IR clearing account maintenance Customizing for invoice verification

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm