720 Software Development courses in Epping delivered Live Online

Web development training course description This three-day course helps build a foundation in the development of Web applications. This is not a HTML course but covers the technologies needed to develop web applications. Technologies covered include: ASP.NET, XML, AJAX and HTTP error codes. What will you learn Program Web applications. Work with data and services. Troubleshoot and debug Web applications. Work with client side scripting. Configure and deploy web applications. Web development training course details Who will benefit: Anyone looking for an introduction to web development. Prerequisites: None. Duration 3 days Web development training course contents Programming web applications Customise the layout and appearance of a web page CSS; tables; embedding images; page layout for navigation. Understand ASP.NET intrinsic objects Request; Server; Application; Session; Response; HttpContext. Understand state information in web applications Understand how state is stored based on application design and hardware; understand different types such as session state, view state, control state and application state. Understand events and control page flow Application and page life cycle events; page events; control events; application events; session events; cross-page posting; Response.Redirect; Server.Transfer; IsPostBack; setting AutoEventWireup. Understand controls Understanding various types of controls, including user, server, web and validation controls; know which is the appropriate type of control for a scenario. Understand configuration files Understanding the usage of web.config and machine.config, and the settings that can be made. Working with data and services Read and write XML data Understanding XML, XML validation Does not include: Web services; XPath syntax; XmlDocument; XPathNavigator; XPathNodeIterator; XPathDocument; XmlReader; XmlWriter; XmlDataDocument; XmlNamespaceManager. Distinguish between DataSet & DataReader objects The ability to choose the proper data object to use based on application requirements/design. Call a service from a web page Creating a basic WCF service or web service so that it can be consumed; App_WebReferences; configuration. Understand DataSource controls LinqDataSource: ObjectDataSource; XmlDataSource; SqlDataSource. Bind controls to data by using data binding syntax Ensure that data is updated and displayed in data-aware controls. Manage data connections and databases Database connections; connection objects; connection pools; transaction objects. Troubleshooting and debugging web applications Debug a web application Use in conjunction with custom error pages to display appropriate error information to the appropriate user; implement tracing of a web application, Trace.axd, Trace=True on @Page directive. Handle web application errors HTTP error codes. Working with client-side scripting Understand client-side scripting Purpose of client-side scripting; various client-side scripting languages. LE/370 and Intrinsic Functions. Understand AJAX concepts ASP.NET AJAX implementation; working with client-side libraries, EnablePartialRendering, Triggers, ChildrenAsTriggers, Scripts, Services, UpdateProgress, Timer, ScriptManagerProxy, extender controls. Configuring and deploying web applications Configure authentication and authorisation Forms authentication, Windows authentication; authorisation; file authorisation; impersonation Does not include: Windows Cardspace authentication, Passport (Windows Live ID) authentication, Custom authentication. Configure projects, solutions and reference assemblies Local assemblies; shared assemblies (GAC); web application projects; solutions; configuration files; AppSettings. Publish web applications Choosing the appropriate method to deploy an application based on existing or intended environment; updatable vs. not updateable; MSI deployment; Internet Information Server (IIS) installation and configuration. Understand application pools Purpose of application pools; effect of application pools on web applications.

Learn user experience fundamentals and master the design process with a user-centered approach. This UX Design Course has been designed to fully equip you with all the tools and methodologies you need to succeed as a UX designer.

Linux shell scripting training course description A practical introduction to writing scripts using the Bourne shell under any Linux operating system. Applicable for those using the Korn shell as well. What will you learn Read shell scripts. Write shell scripts. Use different types of quotes. Recognise the role of shell scripts within the Linux system. Linux shell scripting training course details Who will benefit: Programmers developing programs under UNIX. Administrators / support personnel who wish to find out more about the workings of Linux or write simple utility programs. Prerequisites: Linux Fundamentals Duration 2 days Linux shell scripting training course contents Review of Linux fundamentals Basic shell scripts What does the shell do? How are commands executed? Different shells. what is a shell script? Comments, creating shell scripts. Variables Setting variables, using variables, set, scope, export, sourcing, environmental variables, read. Positional parameters $0 to $9, $#, $* and others. shift parameter substitution. Control statements The test command The if statement while loops for loops The case statement. Special characters Redirection of errors, here documents, quoting. Arithmetic in shell scripts The expr command. System shell scripts Screen handling The terminfo database, The tput command. Advanced issues (optional session) Shell functions, getopts, xargs, debugging shell scripts, portability issues. Extras in the Korn shell. Optimising shell scripts The time command, performance tips.

UNIX shell programming training course description This course has been designed as a follow on course for the XML primer course. The course looks at the use of XSLT in the transforming and styling XML documents. What will you learn Read shell scripts. Write shell scripts. Use different types of quotes. Recognise the role of shell scripts within the UNIX system. UNIX shell programming training course details Who will benefit: Programmers developing programs under UNIX. Anyone working with XML. Administrators Support personnel who wish to find out more about the workings of UNIX or write simple utility programs. Prerequisites: UNIX fundamentals Some programming experience would be useful although not essential. Duration 2 days UNIX shell programming training course contents Review of UNIX fundamentals Basic shell scripts What does the shell do? How are commands executed? Different shells. What is a shell script? Comments, creating shell scripts. Variables Setting variables, using variables, set, scope, export, sourcing, environmental variables, read. Positional parameters 0 to $9, $#, $* and others. shift parameter substitution. Control statements The test command, The if statement, while loops, for loops, The case statement, Special characters, Redirection of errors, here documents, quoting. Arithmetic in shell scripts The expr command. System shell scripts Screen handling The terminfo database The tput comand Avanced issues (optional session) Shell functions, getopts, xargs, debugging shell scripts, portability issues. Extras in the Korn shell. Optimising shell scripts The time command, performance tips.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development. Overview In this course, you will develop simple command-line programs in Python. You will: Set up Python and develop a simple application. Declare and perform operations on simple data types, including strings, numbers, and dates. Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets. Write conditional statements and loops. Define and use functions, classes, and modules. Manage files and directories through code. Deal with exceptions. Though Python has been in use for nearly thirty years, it has become one of the most popular languages for software development, particularly within the fields of data science, machine learning, artificial intelligence, and web development?all areas in which Python is widely used. Whether you're relatively new to programming, or have experience in other programming languages, this course will provide you with a comprehensive first exposure to the Python programming language that can provide you with a quick start in Python, or as the foundation for further learning. You will learn elements of the Python 3 language and development strategies by creating a complete program that performs a wide range of operations on a variety of data types, structures, and objects, implements program logic through conditional statements and loops, structures code for reusability through functions, classes, and modules, reads and writes files, and handles error conditions. Lesson 1: Setting Up Python and Developing a Simple Application Topic A: Set Up the Development Environment Topic B: Write Python Statements Topic C: Create a Python Application Topic D: Prevent Errors Lesson 2: Processing Simple Data Types Topic A: Process Strings and Integers Topic B: Process Decimals, Floats, and Mixed Number Types Lesson 3: Processing Data Structures Topic A: Process Ordered Data Structures Topic B: Process Unordered Data Structures Lesson 4: Writing Conditional Statements and Loops in Python Topic A: Write a Conditional Statement Topic B: Write a Loop Lesson 5: Structuring Code for Reuse Topic A: Define and Call a Function Topic B: Define and Instantiate a Class Topic C: Import and Use a Module Lesson 6: Writing Code to Process Files and Directories Topic A: Write to a Text File Topic B: Read from a Text File Topic C: Get the Contents of a Directory Topic D: Manage Files and Directories Lesson 7: Dealing with Exceptions Topic A: Handle Exceptions Topic B: Raise Exceptions

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

DASA DevOps Fundamentals: In-House Training The DASA DevOps Fundamentals™ certification provides the core education necessary to build your DevOps vocabulary and understand its principles and practices. It's the ideal starting point for DevOps journeys, whether you're already familiar with working with Agile and/or DevOps teams or not. Faster software deployment, increased deployment frequency, and higher change success rate are only some of the visible outcomes of practicing DevOps. Organizations such as Netflix, Spotify, and Facebook are transforming IT by successfully implementing DevOps principles. But you don't have to be big to be a DevOps leader. Companies large and small, young and old, have smoothly made the transition and have the proof of success in their pockets. This course will inspire you to serve as a change champion by sharing and using what you learned, and continue to learn, about DevOps to lead and mentor others. A solid understanding of DevOps Fundamentals has helped numerous professionals and organizations how to approach a DevOps journey, not only from a tool and automation perspective but also looking in-depth at the softer side of things. This course provides learners with an extensive introduction to the core Agile DevOps principles. It covers all 12 key knowledge and skill competencies defined by DASA to ensure you acquire a solid knowledge of DevOps concepts and terminology. Multiple cases or scenarios, group discussions, and examples are included in the course to enhance your learning experience. What you will Learn DASA DevOps Fundamentals-certified professionals are able to: Explain the drivers responsible for the emergence of DevOps. Define and discuss the key concepts and principles of DevOps. List and explain the business benefits of DevOps and continuous delivery. Know how teams can translate DevOps principles into tangible practices. Learn about modern operations in a DevOps context. Explain the concepts of test automation, infrastructure automation, and build and deployment automation. Describe how DevOps relates to Lean and Agile methodologies. Get insight into the various organizational DevOps models and architectures. Identify how Cloud and Delivery pipeline automation optimizes and accelerates the ways of working. Discuss the critical success factors for DevOps transformation. Introducing DASA DevOps Fundamentals DASA DevOps Fundamentals An Introduction Case Study - Easy Journey Airways Building the DevOps Context DevOps Evolution Business Benefits of DevOps DASA DevOps Principles Goals and Measurements Knowing DevOps for Individuals T-Shape Profiles DevOps Capabilities by DASA DASA DevOps Certifications Getting Acquainted with DevOps Culture and Behavior Embracing a DevOps Culture Core Elements of a DevOps Culture Implementation of a DevOps Culture Understanding the Value of DevOps for Teams and Organizations Organizational Models Team Autonomy DevOps at Scale Getting Familiar with DevOps Management Practices ITSM Lean Agile Getting Familiar with DevOps Technical Practices Architecture Modern Infrastructure and Cloud Operations Enabling DevOps Team Performance Through Continuous Delivery and Automation Software Delivery Automation Concepts Continuous Delivery Core Concepts Continuous Delivery Automation Concepts Continuous Delivery Automation Focus Topics Measuring the Performance - The Next Steps Analyze the Current Situation Improve Incrementally

Duration 5 Days 30 CPD hours This course is intended for Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam. This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions. Prerequisites To be successful in this course, learners should have the following: Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal. Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java) Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar) Experience writing code to handle authentication, authorization, and other security principles at the intermediate level. A general understanding of HTML, the HTTP protocol and REST API interfaces. 1 - Explore Azure App Service Examine Azure App Service Examine Azure App Service plans Deploy to App Service Explore authentication and authorization in App Service Discover App Service networking features 2 - Configure web app settings Configure application settings Configure general settings Configure path mappings Enable diagnostic logging Configure security certificates 3 - Scale apps in Azure App Service Examine autoscale factors Identify autoscale factors Enable autoscale in App Service Explore autoscale best practices 4 - Explore Azure App Service deployment slots Explore staging environments Examine slot swapping Swap deployment slots Route traffic in App Service 5 - Explore Azure Functions Discover Azure Functions Compare Azure Functions hosting options Scale Azure Functions 6 - Develop Azure Functions Explore Azure Functions development Create triggers and bindings Connect functions to Azure services 7 - Explore Azure Blob storage Explore Azure Blob storage Discover Azure Blob storage resource types Explore Azure Storage security features Discover static website hosting in Azure Storage 8 - Manage the Azure Blob storage lifecycle Explore the Azure Blob storage lifecycle Discover Blob storage lifecycle policies Implement Blob storage lifecycle policies Rehydrate blob data from the archive tier 9 - Work with Azure Blob storage Explore Azure Blob storage client library Create a client object Manage container properties and metadata by using .NET Set and retrieve properties and metadata for blob resources by using REST 10 - Explore Azure Cosmos DB Identify key benefits of Azure Cosmos DB Explore the resource hierarchy Explore consistency levels Choose the right consistency level Explore supported APIs Discover request units 11 - Work with Azure Cosmos DB Explore Microsoft .NET SDK v3 for Azure Cosmos DB Create stored procedures Create triggers and user-defined functions Explore change feed in Azure Cosmos DB 12 - Manage container images in Azure Container Registry Discover the Azure Container Registry Explore storage capabilities Build and manage containers with tasks Explore elements of a Dockerfile 13 - Run container images in Azure Container Instances Explore Azure Container Instances Run containerized tasks with restart policies Set environment variables in container instances Mount an Azure file share in Azure Container Instances 14 - Implement Azure Container Apps Explore Azure Container Apps Explore containers in Azure Container Apps Implement authentication and authorization in Azure Container Apps Manage revisions and secrets in Azure Container Apps Explore Dapr integration with Azure Container Apps 15 - Explore the Microsoft identity platform Explore the Microsoft identity platform Explore service principals Discover permissions and consent Discover conditional access 16 - Implement authentication by using the Microsoft Authentication Library Explore the Microsoft Authentication Library Initialize client applications 17 - Implement shared access signatures Discover shared access signatures Choose when to use shared access signatures Explore stored access policies 18 - Explore Microsoft Graph Discover Microsoft Graph Query Microsoft Graph by using REST Query Microsoft Graph by using SDKs Apply best practices to Microsoft Graph 19 - Implement Azure Key Vault Explore Azure Key Vault Discover Azure Key Vault best practices Authenticate to Azure Key Vault 20 - Implement managed identities Explore managed identities Discover the managed identities authentication flow Configure managed identities Acquire an access token 21 - Implement Azure App Configuration Explore the Azure App Configuration service Create paired keys and values Manage application features Secure app configuration data 22 - Explore API Management Discover the API Management service Explore API gateways Explore API Management policies Create advanced policies Secure APIs by using subscriptions Secure APIs by using certificates 23 - Explore Azure Event Grid Explore Azure Event Grid Discover event schemas Explore event delivery durability Control access to events Receive events by using webhooks Filter events 24 - Explore Azure Event Hubs Discover Azure Event Hubs Explore Event Hubs Capture Scale your processing application Control access to events Perform common operations with the Event Hubs client library 25 - Discover Azure message queues Choose a message queue solution Explore Azure Service Bus Discover Service Bus queues, topics, and subscriptions Explore Service Bus message payloads and serialization Explore Azure Queue Storage Create and manage Azure Queue Storage and messages by using .NET 26 - Monitor app performance Explore Application Insights Discover log-based metrics Instrument an app for monitoring Select an availability test Troubleshoot app performance by using Application Map 27 - Develop for Azure Cache for Redis Explore Azure Cache for Redis Configure Azure Cache for Redis Interact with Azure Cache for Redis by using .NET 28 - Develop for storage on CDNs Explore Azure Content Delivery Networks Control cache behavior on Azure Content Delivery Networks Interact with Azure Content Delivery Networks by using .NET

Duration 5 Days 30 CPD hours This course is intended for Microsoft Dynamics 365 Finance and Operations Apps Developers Overview By the end of this course, you will learn to develop fully realized solutions by using standardized application coding patterns. In this course, you will learn the tasks needed to fulfill the role of developer in Dynamics 365 Finance and Operations Apps. The Dynamics 365 for Finance and Operations (FO) developer is a key technical resource that implements and extends the application to meet the requirements of the business. Module 1: Overview & Architecturen Explore the ecosystem and main components Explore the technical architecture Explore design and deployment considerations Module 2: Developer Tools Manage implementations by using Lifecycle Services Manage source code by using version control Customize by using Visual Studio Module 3: Solution Design Implement application lifecycle management Module 4: AOT Elements Build extended data types and enumerations Build tables Build forms and optimize form performance Create classes Create other user interface elements Module 5: Code Development & Testing Explore the test framework and use tools Get started with development using X++ Develop object-oriented code Use RSAT tool Module 6: Data Migration Prepare data for migration Module 7: Frameworks Introduction Explore extensions and the extension framework Extend elements SysOperationSandbox framework Summary Module 8: Integration Identify data integration patterns and scenarios Implement data integration concepts and solutions Implement the data management package API Data integrations Integrate with Microsoft Azure Connecting to Power Platform services Consume business events Integrate Finance and Operations apps with Microsoft Dataverse Module 9: Reporting Explore the reporting tools Build reports Build workspaces Manage data sources with external data stores Module 10: Security & Performance Work with performance and monitoring tools Implement role-based security Apply basic performance optimization techniques Additional course details: Nexus Humans MB-500T00 Dynamics 365 - Finance and Operations Apps Developer 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 MB-500T00 Dynamics 365 - Finance and Operations Apps Developer 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 This course is intended for professional web developers who use Microsoft Visual Studio in an individual-based or team-based, small-sized to large development environment. Candidates for this course are interested in developing advanced web applications and want to manage the rendered HTML comprehensively. They want to create websites that separate the user interface, data access, and application logic. Overview Describe the Microsoft Web Technologies stack and select an appropriate technology to use to develop any given application. Design the architecture and implementation of a web application that will meet a set of functional requirements, user interface requirements, and address business models. Configure the pipeline of ASP.NET Core web applications using middleware, and leverage dependency injection across applications. Develop a web application that uses the ASP.NET Core routing engine to present friendly URLs and a logical navigation hierarchy to users. Create Views in an application that display and edit data and interact with Models and Controllers. Connect an ASP.NET Core application to a database using Entity Framework Core. Implement a consistent look and feel across an entire web application. Write JavaScript code that runs on the client-side and utilizes the jQuery script library to optimize the responsiveness of an web application. Add client side packages and configure Task Runners. Run unit tests and debugging tools against a web application in Visual Studio 2022. Write an application that authenticates and authorizes users to access content securely using Identity. Build an application that resists malicious attacks. Use caching to accelerate responses to user requests. Use SignalR to enable two-way communication between client and server. Describe what a Web API is and why developers might add a Web API to an application. Describe how to package and deploy an ASP.NET Core web application from a development computer to a web server. In this 5-day course, professional web developers will learn to develop advanced ASP.NET Core applications using .NET tools and technologies. The focus will be on coding activities that enhance the performance and scalability of the Web site application. Module 1: Exploring ASP.NET Core Introducing of Microsoft Web Technologies Getting Started with Razor Pages in ASP.NET Core Introducing ASP.NET Core MVC Module 2: Designing ASP.NET Core MVC Web Applications Planning in the Project Design Phase Designing Models, Controllers and Views Module 3: Configure Middleware and Services in ASP.NET Core Configuring Middlewares Configuring Services Module 4: Developing Controllers Writing Controllers and Actions Configuring Routes Writing Action Filters Module 5: Developing Views Creating Views with Razor Syntax Using HTML Helpers and Tag Helpers Reusing Code in Views Module 6: Developing Models Creating MVC Models Working with Forms Validating User Input Module 7: Using Entity Framework Core in ASP.NET Core Introduction to Entity Framework Core Working with Entity Framework Core Use Entity Framework Core to connect to Microsoft SQL Server Module 8: Using Layouts, CSS and JavaScript in ASP.NET Core Using Layouts Using CSS and JavaScript Using JavaScript Libraries Module 9: Client-Side Development Applying Styles and Responsive Design Using Task Runners Looking at ASP.NET Core Blazor Module 10: Testing and Troubleshooting Testing ASP.NET Core Applications Implementing an Exception Handling Strategy Logging ASP.NET Core Applications Module 11: Managing Security Authentication in ASP.NET Core Authorization in ASP.NET Core Defending from Common Attack Module 12: Performance and Communication Implementing a Caching Strategy Managing State Supporting Two-way Communication Module 13: Implementing Web APIs Introducing Web APIs Developing a Web API Calling a Web API Module 14: Hosting and Deployment Hosting and Deploying On-premises Deploying to Microsoft Azure Looking at Microsoft Azure Fundamentals