36236 Courses

Broadband access training course description ADSL is a broadband technology providing fast Internet access (amongst other applications) over existing telephone lines. This course covers an overview of the DSL family, what ADSL is through to how ADSL works. What will you learn Describe what ADSL is. Describe how ADSL works. Describe the ADSL architecture. Recognise the limitations of ADSL. List the elements required for an ADSL installation. Broadband access training course details Who will benefit: Network engineers and anyone who will be working with ADSL. Prerequisites: Intro to data communications & networking Duration 2 days Broadband access training course contents What is ADSL? Broadband definitions, OSI layer 1, ADSL services, WANS. ADSL features: always on, point to point, Asymmetric, speeds. ADSL benefits, xDSL family, standards, history, example DSL forum documents. ADSL architecture The big picture, The PSTN and telephones, Digital and analogue, PSTN and modems, ADSL vs. modem speeds, Block 1: Customer premises, Block 2: The last mile, Block 3: The exchange, Block 4: the core network. Customer premises Splitters, micro filters, splitter architectures, Splitterless ADSL, ADSL modems, USB, ADSL routers. The local loop ADSL PHY, Some basics, ADSL margins, speed implications, distances, RADSL, Line testing, whoosh tests, line coding, multiple channels, FDM, echo cancellation, Modulation: AM, FM, PM, QAM, QAM constellations, DMT, CAP, Framing, Superframes, fast data mode, interleaved mode, RADSL revisited. The exchange Local exchange ADSL items, DSLAMs, ADSL racks, Contention. The core network The role of the core network, ATM, ATM VPI/VCI, ATM cells, ATM layers, AAL5, RAS, Home gateways. ADSL and the higher layers Layer 2 choices, PPPoA, PPP, CHAP, Layer 4 and above, ADSL and ATM. Installing and configuring ADSL Choosing providers, line activation, hardware requirements, Configuring layer 1 and layer 2, Configuring IP. Summary ITU ADSL standards

Access to Nursing and Healthcare Professions. Regulated by QAA. Widely accepted by UK universities.

Access to HE courses provide a good foundation in the knowledge and skills required for studying at university level, so that students are confident and well prepared when they go on to higher education.

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

Learners will be introduced to the design, installation, commissioning, and maintenance of Access Control systems.

One day ILS Course. The ILS course is designed for healthcare professionals who would be expected to apply the skills taught as part of their clinical duties.

Straightforward GDPR training for small charities - because you want to get it right!

Singing retreat, meditation, body work, sound bath, vegan feast, community, singing, choir, walking, breathing, wellness, retreat.

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.

LOOKING FOR: ADULT FICTION, NON-FICTION Diana joined the prestigious DHH Literary Agency in June 2024. She started agenting with Rupert Heath Literary Agency in 2011 before moving to UTA and Marjacq in 2017. Before that she was senior commissioning editor at Transworld. Diana was chosen as one of The Bookseller’s Rising Stars of 2012, was a nominee for RNA Agent of the Year 2019, and was shortlisted for Literary Agent of the Year 2022 at the British Book Awards. Her list includes a wide range of bestselling and prize-winning authors in the UK and internationally. Diana represents adult fiction and non-fiction. For fiction, she is looking for upmarket women's commercial, with depth and heart, including reading group, historical, saga, uplit and contemporary stories that are irreverent and make her laugh; accessible literary fiction, high-concept crime fiction and thrillers. She has a thing for spy novels and would love to find a great vampire story.  On the non-fiction side: memoir, smart, funny feminists, lifestyle, cookery and social justice, and open to anything with a strong, original voice. She also encourages submissions from writers who have been traditionally under-represented. Diana would like you to submit a covering letter, 1 - 2 page synopsis and the first three chapters (a maximum of 5,000 words) of your manuscript in a single word document.  (In addition to the paid sessions, Diana is kindly offering one free session for low income/underrepresented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Monday 2 December 2024