1069 Engineer courses in Rayleigh delivered Live Online

Lawful Intercept training course description Packet based networks require a different approach to Lawful Intercept (LI) than that used in circuit switched networks. This course focuses on what Lawful Interception and Data Retention (DR) means to communications service providers in the IP and NGN areas. The course assumes a basic knowledge of IP networking (i.e. DNS, TCP/UDP, IP, RTP) and the building of services on an IP platform (e.g. SIP, SDP, FTP, HTTP). The course first looks at the regulatory context for LI and DR and how this is translated to a practical architecture. What will you learn Recognise the legal and regulatory obligations to provide LI and DR. Identify the components of the handover architecture for each of LI and DR. Identify the preferred location of points of interception and points of retention in the IP network. Map intercepted material to handover protocols. Understand the data mapping defined in the available standards for both LI and DR. Lawful Intercept training course details Who will benefit: Technical and managerial staff needing to implement public networks. Prerequisites: TCP/IP Foundation Duration 1 day Lawful Intercept training course contents What is meant by LI and DR? Review of regulation: Data protection Directive; Data Retention Directive; RIPA. LI architectures Handover and Interception: ETSI standards ES 201 671 and TS 102 232. LI handover protocol IRI and CC handover; correlation; manual interfaces. DR architectures Handover of query results; points of retention. DR query command set Retrieval of retained records. Security concerns Operation privacy; target privacy; storage and transmission integrity. Implementation Identifying PoI and PoR for provided services. LI and DR wrap up Interaction with other services, storage obligations (volume, time, availability).

Telecomms training course description A comprehensive tour of the telecommunications technologies and terminology currently in use, and under development. What will you learn List and describe components of the PSTN. Explain how calls are made over the PSTN Compare analog and digital transmission methods. Describe the technologies within the transport plane. Recognise the benefits of extra features available in today's telephone networks. Telecomms training course details Who will benefit: Anyone new to the Telecommunications industry. Prerequisites: None. Duration 2 days Telecomms training course contents Telephone network architecture Handsets, local loop, distribution points, Local exchanges, main telephone switches, PBXs. Making a call - some basics Telephone call components, how a telephone call works, accessing the local exchange, loop disconnect, DTMF, standards, E.164, PSTN routing, Intelligent Networks, Special Rate Services. Analogue vs Digital Voice characteristics, PSTN bandwidth, analogue signalling, Digital encoding, PCM and the 64k, ADPCM and other voice compression methods. PBXs PABX, Call processing, networking PBXs, PBX facilities, bandwidth, blocking probability and Erlangs, Erlang models, using Erlang tables. Transmission methods Two wire transmission, 64k circuits, Nx64, E1, 2 wire to 4 wire conversion, echo, echo suppression, echo cancellers, twisted pair, coax, fibre optic, power lines, satellite systems, microwave. Signalling Analogue signalling, loop start, earth calling, E&M, AC15. Digital signalling -CAS, robbed bits and E1 slot 16 signalling. Digital signalling CCS, Q.931, SS7, Q.SIG, DPNSS, DASS2. Transport planes PDH, PDH issues, SDH, SDH architecture, SDH standards, SDH bit rates, SDH mulitplexors, DWDM. Networks Circuit Switched Networks, TDM, Packet Switched Networks, Frame Relay, Message Switching, Circuit Switching, STDM, Cell Switching, ATM, ATM cells, ATM traffic parameters, ATM QoS, MPLS. Other network access Modems, modulation, speeds, ISDN, BRI, PRI, xDSL, SDSL, ADSL. Other Services Centrex, VPNs, FeatureNet, CTI, Call Processing Systems, Voice Mail, Automated Attendant Systems, Interactive Voice Response, Call Management Systems, Call Conferencing, Star Services. Mobile communications 3 types of wireless telephone, mobile generations, base stations, cells, GSM, GPRS, 3G, UMTS, WCDMA, 4G, LTE. VoIP overview What is VoIP, VoIP benefits, What is IP? The IP header, Packetising voice, VoIP addressing, H.323, SIP, RTP. Bandwidth requirements.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who receive Tableau data visualizations from data analysts or from data visualization engineers. These data report recipients want to take advantage of the many Tableau features and capabilities that enable them to explore the data behind the initial analysis, perform additional analysis to ask next-level questions of the data, and to customize visualizations and dashboards to share new insights and create compelling reports. Overview Explore Tableau reports. Analyze data to get answers and insights. Sort and group data for analysis and reporting. Filter views. Prepare reports. Troubleshoot, collaborate, and share views and analysis As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau© software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings. Prerequisites To ensure your success in this course, you should have experience managing data with Microsoft© Excel© or Google Sheets? Lesson 1: Exploring Tableau Reports Topic A: Data Analysis Workflow with Tableau Topic B: Explore Views Topic C: Edit Workbooks Lesson 2: Analyzing Data to Get Answers and Insights Topic A: Configure Marks with the Marks Card Topic B: Ask New Questions by Changing Aggregation Topic C: Find Answers with Calculations Topic D: Answer Questions with Table Calculations Lesson 3: Sorting and Grouping Data for Analysis and Reporting Topic A: Sort Data Topic B: Group Data Lesson 4: Filtering Views Topic A: Filter Data to Refine Analysis Topic B: Create Interactive Filters for Reports Lesson 5: Preparing Reports Topic A: Format and Annotate Views to Tell Your Story Topic B: Emphasize Data in Reports Topic C: Animate Visualizations for Clarity Lesson 6: Troubleshooting, Sharing, and Collaborating Topic A: Troubleshoot Data Issues Topic B: Collaborate in Tableau Online Topic C: Collaborate with Non-Tableau Users

PRODUCT DESIGN face to face training customised and bespoke.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - 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 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - 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 6 - 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 Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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 AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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.

This practitioner-level 4 award encourages individuals in IT and technical roles to explore the many teams, ideas, and functions within an organisation and maximise their contribution. You will achieve this by learning the key concepts and considering behaviour and response in different scenarios.

This Level 4 course encourages individuals in digital and technical roles to enhance their skills by exploring different techniques, formats, and tools to communicate and understand the impact of their communication choices.

This Level 4 practitioner award encourages individuals in or working towards a leadership role (this could be an IT or technical based-role), and you want to demonstrate modern leadership behaviours to nurture a high-performing team, especially during a time of organisational change.

Autocad face to face training customised and bespoke.

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - 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 Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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.