Learners will develop knowledge of FD&FA systems and apply this to the provision of detection and electrical actuation for gas extinguishing systems.
The NCSP® ISO 27001 Specialist accredited (APMG International), certified (NCSC/GCHQ-UK), and recognized (DHS-CISA-USA) certification course teaches Digital Business, Operational Stakeholders, Auditors, and Risk Practitioners a Fast-Track approach to adopting and adapting the ISO 27001 controls in the context of a NIST Cybersecurity Framework program.This course looks at the impact of adapting a principled approach to an enterprise risk management framework to better support cybersecurity decisions within the context of the selected informative reference. It guides participants on the best approach to adapt, implement, and operate (AIO) a comprehensive cybersecurity program that integrates into existing organizational capabilities and incorporates the selected Informative Reference. NCSP® ISO 27001 Specialist introduces the integration of typical enterprise capabilities with cybersecurity from the perspective of the selected cybersecurity informative reference. The overall approach places these activities into systems thinking context by introducing the Service Value Management System composed of three aspects, governance, assurance, and the Z-X Model. With this in place, the course presents the approach to adapt, implement, operate, and improve the organizational cybersecurity posture that builds on the application of the FastTrack™ presented in the NCSP Practitioner. The NIST Cybersecurity Professional (NCSP®) program is the industry's first accredited certification training program that teaches organizations how to build a Digital Value Management Overlay System capable of leveraging the NIST Cybersecurity Framework to deliver the secure, digital business outcomes expected by executives, government regulators, and legal advisors.
Course Objectives The goal of this course is to provide you with the knowledge required to use more advanced functions and formulas and work with various tools to analyse and present data in spreadsheets, such as sorting, filtering, applying conditional formatting and charting the data. ' Customer Feedback Really useful and engaging course. Learnt a lot that will be very beneficial in my job. Trainer was great. Kelly Moreley - TACT Very happy with the course. Worked as a good refresher from what I knew already and enhanced my knowledge further in formulas + vlookup and shortcut keys. Jenny Price - Acer 1 year email support service Take a look at the consistent excellent feedback from our corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Tailored training courses: In, in company training, you can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Recap on Excel formulas and calculations Overview of formulas in Excel Relative, Absolute and Mixed cell references Group editing worksheets Autofill and Flash Fill Changing Excel’s environment Options Changing the default number of sheets Creating an Autofill Custom List Adding tools to the Quick Access Toolbar Mastering Excel Tables Introducing Excel Tables Formatting a Table Creating Calculated Columns Using Slicers to filter your data Using Totals to get statistics out of your data Removing duplicates Converting Tables back to normal Ranges Using names Ranges In Excel formulas As a way of navigating through the workbook Advanced Formulas Simple IF examples Using IF to check if a cell is blank Nested IFs VLOOKUP HLOOKUP Text Functions Date Functions Conditional formatting Apply Conditional Formatting Customising Conditional Formatting Using Icons in Conditional Formatting Using Formulas to conditionally format cells Linking spreadsheets and workbooks Making a reference to another worksheet Making a reference to another workbook Editing links Troubleshooting links Analysing databases Quick analysis Sorting a database Apply filters to a database Advance filter Sorting and Filtering by Conditional Formats Charts Analyse trends in data using Sparklines Creating charts from start to finish Exploring the different Chart Types Apply Chart Styles Formatting Chart Elements Filtering Charts by Series or Categories Adding a Trendline to a Chart Create a Chart Template Attaching security to a spreadsheet and workbook Protect Cells Protect Structure of worksheets Protect a Workbook by adding passwords Introduction to Pivot Tables What are Pivot Tables? Using recommended pivot tables to analyse your data Who is this course for? Who is this course for? For those who want to explore in more detail formulas and functions, data analysis and data presentation. Requirements Requirements Preferably, delegates would have attended the Excel Introduction course. Career path Career path Excel know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills Certificates Certificates Certificate of completion Digital certificate - Included
Duration 3 Days 18 CPD hours This course is intended for This course is designed for integration developers who configure service policies on IBM© DataPower Gateways. Overview After completing this course, you should be able to: Describe how DataPower gateways are configured Create and configure cryptographic objects Configure Secure Sockets Layer (SSL) to and from DataPower gateways Configure a multi-protocol gateway (MPGW) to handle multiple protocols from a single service Configure a service level monitoring (SLM) policy to control message traffic Use logs and probes to troubleshoot services Use patterns to define and deploy new services Configure message transformation and routing by using style sheets (XSL) and GatewayScripts Handle errors in service policies This course teaches you the essential skills that are required to configure, implement, and troubleshoot services that are developed on the IBM© DataPower Gateways (IDG) with firmware version 7.5.0, regardless of use case. The DataPower Gateways allow an enterprise to simplify, accelerate, and enhance the security capabilities of its XML and web services deployments, and extend the capabilities of its service-oriented architecture (SOA) infrastructure. The gateways also extend these capabilities into the JSON, REST, and Mobile application areas. Through a combination of instructor-led lectures and hands-on lab exercises, you learn how to develop and debug services that are implemented on the DataPower gateways. These skills include WebGUI and Blueprint Console navigation, service type selection, basic multi-protocol gateway configuration, creating and using cryptographic objects, and configuring SSL connections. You also learn how to use various problem determination tools such as logs, monitors, and probes, and techniques for testing DataPower services and handling errors. Hands-on exercises give you experience working directly with a DataPower Gateway. The exercises focus on skills such as creating multi-protocol gateways, working with cryptographic and SSL objects, configuring service level monitoring, troubleshooting services, handling errors in a service policy, and deploying a service from a pattern. Course introductionQuick introduction to developing on DataPowerExercise: First exposure to the DataPower developer environmentServices overviewStructure of a serviceExercise: Creating a BookingService gatewayMulti-protocol gateway serviceProblem determination toolsExercise: Enhancing the BookingService gatewayHandling errors in a service policyExercise: Adding error handling to a service policyDataPower cryptographic tools and SSL setupExercise: Creating cryptographic objects and configuring SSLService level monitoringExercise: Implementing a service level monitor in a multi-protocol gatewayPatterns for service configurationExercise: Using a DataPower pattern to deploy a serviceCourse summary
3Com switches training course description A hands on course covering the product specifics of 3Com switches. Installation, configuration, maintenance and troubleshooting are all covered in a practical oriented way. What will you learn Install 3Com switches. Use the command line interface and the web based interface to manage 3Com switches. Configure and troubleshoot 3Com switches. Configure and troubleshoot 3Com switches. Perform software upgrades. 3Com switches training course details Who will benefit: Anyone working with 3Com switches. Particularly aimed at engineers and technicians supporting 3Com switches. Prerequisites: None. Duration 2 days 3Com switches training course content Introduction How Ethernet works with hubs, How Ethernet works with switches. Installing 3Com switches. Hands on Building a network with a hub, building a network with a 3Com switch. Basic troubleshooting The 3Com switch range, LEDs, cabling issues, system resets, default settings. Hands on Building a network with multiple 3Com switches. Configuration methods Managed vs. unmanaged switches, Console port access, telnet, web based access, SNMP, saving configurations, NVRAM, switch stacks. Hands on Accessing the switch using the console, IP address configuration, telnet. Console interface Default users, passwords, the menus, menu options, online help, CLI commands. Hands on Setting passwords, displaying the switch configuration. Web based interface Getting started, basic format. Hands on Configuring the switch using the web interface. Port configuration Common port configuration tasks, port aggregation, resilient links. Hands on Configuring ports. STP configuration What is STP? Configuring STP. Hands on Enabling and disabling STP, configuring STP. VLAN configuration What are VLANS? 802.1Q, tagged/untagged, creating VLANS, applying VLANS. Hands on Setting up VLANS, setting up 802.1Q, Inter VLAN traffic. Housekeeping TFTP, software upgrades Hands on Software upgrade. SNMP SNMP configuration, Transcend, other NMS's. Hands on Using SNMP to manage a 3Com switch, putting it all together: troubleshooting.
Carrier Ethernet training course description Ethernet is now the interface of choice for nearly all networking. This comprehensive course looks at the ways carriers can provide this Ethernet interface for their WANs and MANs. The course assumes delegates already have a solid foundation in Ethernet switching and so concentrates on just the Ethernet technologies for Carrier Ethernet. What will you learn Describe the main Carrier Ethernet services. Evaluate transports for Carrier Ethernet. Explain how Ethernet can work over MPLS and SDH. Explain the Ethernet technologies used to enable Carrier Ethernet. Carrier Ethernet training course details Who will benefit: Network engineers. Staff working for carriers. Prerequisites: Definitive Ethernet switching for engineers. Duration 2 days Carrier Ethernet training course contents Introduction What is Ethernet? LANs, MANs, WANs, Ethernet and switches in the LAN. Traditional LAN/WAN integration, routers. The Ethernet interface for the WAN. Standards: IEEE, MEF, OIF, Ethernet Alliance. Carrier Ethernet Services E-line: EPL, EVPL. E-LAN: EP-LAN, EVP-LAN. E-Tree: EP-Tree, EVP-Tree. Ethernet Services attributes. Applications: Carrier Ethernet for businesses, Mobile backhaul. Multicasting. Service attributes Bandwidth profiles, bandwidth parameters, Class of Service, QoS, MTU, Protection mechanisms: STP, RSTP, MSTP, Link aggregation, G.8031, G.8032. Transporting Carrier Ethernet The main options. 'Pure' Ethernet, Ethernet over SDH, Ethernet over WDM, Ethernet over MPLS. Ethernet switching, addresses and MAC address tables. Carrier Ethernet access technologies. EFM. Ethernet over MPLS What is MPLS, MPLS-TE, MPLS-VPN, L2 VPNs, VPLS, VPWS. MPLS Fast Reroute. CET 'Pure' Ethernet, Provider bridging 802.1d, Provider Backbone Bridges 802.1ah. Traffic engineering 802.1Qay. Carrier Ethernet technologies 802.1ad VLAN stacking, 802.1AX Link aggregation. 802.1Q QoS. OAM Standards, layers, interworking
OpenView training course description A hands-on course focusing on network management using HP OpenView network node manager on Microsoft Windows or UNIX. What will you learn Recognise the benefits of ADSL. Describe the network management architecture. Use HP OpenView. Diagnose faults using HP OpenView. Recognise the MIB structure. OpenView training course details Who will benefit: Technical staff wanting to learn DNS. Prerequisites: TCP/IP Foundation Duration 2 days OpenView training course contents Network management What is network management?, Benefits, issues, demonstration. Getting started with HP OpenView Starting HP OpenView, IP discovery, IP monitoring, controlling IP discovery. Using HP OpenView Mapping devices, map layouts, maps and submaps, objects and symbols, object attributes, colour codings, polling. Agents Configuring Cisco devices for SNMP support, communities, traps, syslog. Parts of SNMP SNMP architecture, MIB's, The protocol. HP OpenView SNMP configuration HP OpenView alarm browser HP OpenView alarms, alarm categories, filtering alarms, alarm details window. MIB's MIB1, MIB2, The MIB2 groups, additional MIB's, MIB compilers, vendor MIB's. HP OpenView MIB loader and browser. Monitoring devices Polling, obtaining MIB information. Diagnostic tools Poll node, the ping window, protocol test, locate route HP OpenView fault management Alarms, polling, fault management, setting thresholds and configuring traps.
Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution
The Hi-Tech Training Digital Text & Voice Communicator Course is designed to provide participants with the skills required to connect Digital, Text & Voice Communicators to an Alarm Control Panel for transmission of Digital status signals via the telephone line, GSM Network or IP network to a central monitoring station. The Digital Communicator Course’s practical application and our highly experienced trainers ensure that this course is second to none. The course is technical and practical in nature and is suitable for participants who have successfully completed the Hi-Tech Training Intruder Alarm Installation Course or equivalent.
Course Content: Open discussions - risks associated with the workplace Health and safety legislation in relation to workplace violence - employer and employee duties Digital online security; avoiding online harassment The conflict cycle, dynamic threat assessment Effective use of body language and communication skills during confrontational situations Managing confrontation through distractions and interpersonal skills Lone worker safe systems of work; communication responsibilities Recognising potentially unsafe situations or situations of deteriorating safety i.e., violence and aggression, inappropriate conduct, malicious allegations Case study review Legislation regarding self-defence, emphasising its role as a last resort measure Post-incident procedures, emphasising the formulation of comprehensive and robust incident reports to identify potential risks and provide a thorough account of the situation.