6230 Computing courses

The rationale for this fast track Level 4 Diploma in IT - E-Commerce qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles in the information technology (IT) industry, notably in programming, website design or PC maintenance. The technical skills and knowledge delivered through the successful achievement of the fast track Level 4 Diploma in IT - E-Commerce qualification are required and recognised internationally. The diploma is accredited at Level 4 and has a total equivalence of 120 credits. Key Highlights of this Level 4 Diploma in IT - E-commerce (Fast Track) qualification are: Program Duration: 6 Months (Regular 9 months duration course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 4 Diploma in IT - E-commerce (Fast Track) (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 3 OR Level 4 qualification in another discipline and want to develop their careers in information technology or E-Commerce. Career path Learners after completing this course progress to: BSc (Hons) in Business Computing and Information Systems degree, Combined Level 5 + Level 6 Diploma in Information Technology , Combined Level 4 + Level 5 Diploma in Cyber Security, Level 5 Diploma in Information Technology (Fast Track Mode), The Second year of Undergraduate study, Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge

The rationale for this fast track Level 4 Diploma in IT - Web Design qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles in the information technology (IT) industry, notably in programming, website design or PC maintenance. The technical skills and knowledge delivered through the successful achievement of the fast track Level 4 Diploma in IT - Web Design qualification are required and recognised internationally. The diploma is accredited at Level 4 and has a total equivalence of 120 credits. Key Highlights of this Level 4 Diploma in Information Technology - Web Design (Fast Track) qualification are: Program Duration: 6 Months (Regular 9 months duration course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 4 Diploma in IT - Web Design (Fast Track) (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 3 OR Level 4 qualification in another discipline and want to develop their careers in information technology and web design. Career path Learners after completing this course progress to: BSc (Hons) in Business Computing and Information Systems degree, or Combined Level 5 + Level 6 Diploma in Information Technology , or Combined Level 4 + Level 5 Diploma in Cyber Security, or Level 5 Diploma in Information Technology (Fast Track Mode), or The Second year of Undergraduate study, or Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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 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.

The rationale for this fast track Level 4 Diploma in IT - E-Commerce qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles in the information technology (IT) industry, notably in programming, website design or PC maintenance. The technical skills and knowledge delivered through the successful achievement of the fast track Level 4 Diploma in IT - E-Commerce qualification are required and recognised internationally. The diploma is accredited at Level 4 and has a total equivalence of 120 credits. Key Highlights of this Level 4 Diploma in Information Technology - E-commerce qualification are: Program Duration: 9 Months (Fast track 6 months duration course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 4 Diploma in IT - E-commerce (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 3 OR Level 4 qualification in another discipline and want to develop their careers in information technology or E-Commerce. Career path Learners after completing this courseprogress to: BSc (Hons) in Business Computing and Information Systems degree, Combined Level 5 + Level 6 Diploma in Information Technology , Combined Level 4 + Level 5 Diploma in Cyber Security, Level 5 Diploma in Information Technology (Fast Track Mode), The Second year of Undergraduate study, Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge

The rationale for this Level 4 Diploma in IT - Web Design qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles in the information technology (IT) industry, notably in programming, website design or PC maintenance. The technical skills and knowledge delivered through the successful achievement of the Level 4 Diploma in IT - Web Design qualification are required and recognised internationally. The diploma is accredited at Level 4 and has a total equivalence of 120 credits. Key Highlights of this Level 4 Diploma in Information Technology - Web Design qualification are: Program Duration: 9 Months (Fast track 6 months duration course also available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 4 Diploma in IT - Web Design (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 3 OR Level 4 qualification in another discipline and want to develop their careers in information technology and web designing. Career path Learners after completing this course progress to: BSc (Hons) in Business Computing and Information Systems degree, Combined Level 5 + Level 6 Diploma in Information Technology , Combined Level 4 + Level 5 Diploma in Cyber Security, Level 5 Diploma in Information Technology (Fast Track Mode), The Second year of Undergraduate study, Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge.

The rationale for the Level 5 Diploma in IT - Web Design qualification (Accredited by Qualifi, UK) is that it provides a career path for learners who wish to develop a broad base of knowledge and skills that will enable them to work in a variety of roles n the IT industry, notably in .NET programming, system administration and network security. Learners will also learn about entrepreneurship in a techno environment. The Level 5 Diploma in IT - Web Design qualification is flexible in that it offers elective choices of networking, web design or e-commerce - the latter being much in demand in modern business. The technical skills and knowledge delivered through the successful achievement of the qualification are required and recognised internationally. The diploma is accredited at Level 5 and has a total equivalence of 120 credits. Key Highlights of this Level 5 Diploma in IT - Web Design qualification are: Program Duration: 9 Months (Fast track 6 months duration mode Available) Program Credits: 120 Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Undergraduate degree programme. Alumni Status No Cost EMI Option Requirements This Level 5 Diploma in IT - Web Design (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following: Qualifications at Level 4 OR A Level 5 qualification in another discipline and want to develop their careers in business and entrepreneurship. Career path Learners completing the Level 5 Diploma in IT - Web Design progress to: Final year of Undergraduate study, or Level 6 Diploma in Information Technology, or BSc (Hons) in Business Computing and Information Systems degree, or Directly into employment in an associated profession. Certificates Certificate of Achievement Hard copy certificate - Included Qualifi courses: Once you complete the course, you would be receiving a Physical hard copy of your Diploma along with its Transcript which we would Courier to your address via DHL or Royal Mail without any additional charge.

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Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.