302 Microsoft AZ-900 courses delivered Online

Duration 4 Days 24 CPD hours This course is intended for This four-day course is intended for Windows Server Hybrid Administrators who have experience working with Windows Server and want to extend the capabilities of their on-premises environments by combining on-premises and hybrid technologies. Windows Server Hybrid Administrators implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment. This course teaches IT Professionals how to manage core Windows Server workloads and services using on-premises, hybrid, and cloud technologies. The course teaches IT Professionals how to implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment. Prerequisites Experience with managing Windows Server operating system and Windows Server workloads in on-premises scenarios, including AD DS, DNS, DFS, Hyper-V, and File and Storage Services Experience with common Windows Server management tools (implied in the first prerequisite). Basic knowledge of core Microsoft compute, storage, networking, and virtualization technologies (implied in the first prerequisite). Experience and an understanding of core networking technologies such as IP addressing, name resolution, and Dynamic Host Configuration Protocol (DHCP) Experience working with and an understanding of Microsoft Hyper-V and basic server virtualization concepts Basic experience with implementing and managing IaaS services in Microsoft Azure Basic knowledge of Azure Active Directory Experience working hands-on with Windows client operating systems such as Windows 10 or Windows 11 Basic experience with Windows PowerShell 1 - Introduction to AD DS Define AD DS Define users, groups, and computers Define AD DS forests and domains Define OUs Manage objects and their properties in AD DS 2 - Manage AD DS domain controllers and FSMO roles Deploy AD DS domain controllers Maintain AD DS domain controllers Manage the AD DS Global Catalog role Manage AD DS operations masters Manage AD DS schema 3 - Implement Group Policy Objects Define GPOs Implement GPO scope and inheritance Define domain-based GPOs Create and configure a domain-based GPO Define GPO storage Define administrative templates 4 - Manage advanced features of AD DS Create trust relationships Implement ESAE forests Monitor and troubleshoot AD DS Create custom AD DS partitions 5 - Implement hybrid identity with Windows Server Select a Microsoft Entra integration model Plan for Microsoft Entra integration Prepare on-premises Active Directory for directory synchronization Install and configure directory synchronization with Microsoft Entra Connect Implement Seamless Single Sign-On Enable Microsoft Entra login in for Windows VM in Azure Describe Microsoft Entra Domain Services Implement and configure Microsoft Entra Domain Services Manage Windows Server 2019 in a Microsoft Entra Domain Services environment Create and configure a Microsoft Entra Domain Services instance Join a Windows Server VM to a managed domain 6 - Deploy and manage Azure IaaS Active Directory domain controllers in Azure Select an option to implement directory and identity services using Active Directory Domain Services in Azure Deploy and configure Active Directory Domain Services domain controllers in Azure VMs Install a replica Active Directory domain controller in an Azure VM Install a new Active Directory forest on an Azure VNet 7 - Perform Windows Server secure administration Define least privilege administration Implement delegated privileges Use privileged access workstations Use jump servers 8 - Describe Windows Server administration tools Explore Windows Admin Center Use Server Manager List Remote Server Administration Tools Use Windows PowerShell Use Windows PowerShell to remotely administer a server 9 - Perform post-installation configuration of Windows Server List the available post-installation configuration tools Configure Server Core using Sconfig Use DSC to configure Windows Server Perform post-installation configuration with Windows Admin Center Configure a server with answer files 10 - Just Enough Administration in Windows Server Explain the concept of Just Enough Administration (JEA) Define role capabilities for a JEA endpoint Create a session configuration file to register a JEA endpoint Describe how JEA endpoints work to limit access to a PowerShell session Create and connect to a JEA endpoint Demonstration: Connect to a JEA endpoint 11 - Administer and manage Windows Server IaaS Virtual Machine remotely Select the appropriate remote administration tool Manage Windows Virtual Machines with Azure Bastion Create an Azure Bastion host Configure just-in-time administration 12 - Manage hybrid workloads with Azure Arc Describe Azure Arc Onboard Windows Server instances Connect hybrid machines to Azure from the Azure portal Use Azure Arc to manage Windows Server instances Restrict access with RBAC 13 - Configure and manage Hyper-V Define Hyper-V Define Hyper-V Manager Configure Hyper-V hosts using best practices Configure Hyper-V networking Assess advanced Hyper-V networking features Define nested virtualization 14 - Configure and manage Hyper-V virtual machines List the virtual machine configuration versions List the virtual machine generation versions List available VHD formats and types Create and configure VMs Determine storage options for VMs Define shared VHDs and VHD Sets Implement guest clusters using shared VHDX 15 - Secure Hyper-V workloads Define guarded fabric Define the Host Guardian Service Explore TPM-trusted attestation Define KPS Determine key features of shielded VMs Compare encryption-supported and shielded VMs in a guarded fabric Implement a shielded VM 16 - Run containers on Windows Server Define containers List the differences between containers and VMs Define Windows Server and Hyper-V containers and isolation modes Explore Docker Prepare a Windows Server 2019 host for container deployment Security, Storage, and Networking with Windows containers 17 - Orchestrate containers on Windows Server using Kubernetes Define orchestration Define Kubernetes Deploy Kubernetes resources Create a Kubernetes cluster on Windows Define Azure Arc Connect an Azure Arc-enabled Kubernetes cluster to Azure Arc 18 - Plan and deploy Windows Server IaaS Virtual Machines Describe Azure compute Describe Virtual Machine storage Deploy Azure Virtual Machines Create a windows Virtual Machine using the portal Create a windows Virtual Machine using Azure CLI Deploy Azure Virtual Machines using templates Describe additional management optimization options 19 - Customize Windows Server IaaS Virtual Machine images Create a generalized image Create a new Virtual Machine from a managed image Create a managed image of a generalized virtual machine in Azure Create a Virtual Machine from a managed image Implement Azure Image Builder Create a windows Virtual Machine using Azure Image Builder template Create a Windows Virtual Machine with Azure Image Builder using PowerShell 20 - Automate the configuration of Windows Server IaaS Virtual Machines Describe Azure Automation Implement Azure Automation with DSC Remediate noncompliant servers Describe Custom Script Extensions Configure a Virtual Machine by using DSC 21 - Deploy and manage DHCP Use DHCP to simplify IP configuration Install and configure the DHCP role Configure DHCP options Configure DHCP scopes Select DHCP high availability options Implement DHCP Failover 22 - Implement Windows Server DNS Explore the DNS architecture Work with DNS zones and records Install and configure the DNS role Implement DNS forwarding 23 - Implement IP Address Management Define IP Address Management Deploy IP Address Management Administer IP Address Management Configure IP Address Management options Manage DNS zones with IP Address Management Manage DHCP servers with IP Address Management Use IP Address Management to manage IP addressing 24 - Implement remote access Examine the remote access options in Windows Server Select and set up VPNs Use NPS to create and enforce network access policies Plan and implement NPS Deploy a PKI for remote access Use WAP as a reverse web proxy 25 - Implement hybrid network infrastructure Describe Azure network topologies Implement Azure VPN options Create a route-based VPN gateway using the Azure portal Implement Azure ExpressRoute Configure Azure Virtual WAN Implement DNS in hybrid environments 26 - Implement DNS for Windows Server IaaS VMs Understand Azure DNS Implement Azure DNS Create an Azure DNS zone and record using the Azure portal Implement DNS with Azure IaaS virtual machines Implement split-horizon DNS in Azure Troubleshoot DNS 27 - Implement Windows Server IaaS VM IP addressing and routing Implement a virtual network Implement IaaS VM IP addressing Assign and manage IP addresses Configure a private IP address for a virtual machine using the Azure portal Create a virtual machine with a static public IP address using the Azure portal Implement IaaS virtual machine IP routing Implement IPv6 for Windows Server IaaS virtual machines 28 - Manage Windows Server file servers Define the Windows Server file system List the benefits and uses of File Server Resource Manager Define SMB and its security considerations Configure SMB protocol Define Volume Shadow Copy Service 29 - Implement Storage Spaces and Storage Spaces Direct Define the Storage Spaces architecture and its components List the functionalities, benefits, and use cases of Storage Spaces Implement Storage Spaces List the functionalities, components, benefits, and use cases of Storage Spaces Direct Implement Storage Spaces Direct 30 - Implement Windows Server Data Deduplication Define the architecture, components, and functionality of Data Deduplication Define the use cases and interoperability of Data Deduplication Implement Data Deduplication Manage and maintain Data Deduplication 31 - Implement Windows Server iSCSI List the functionalities, components, and use cases of iSCSI List the considerations for implementing iSCSI Implement iSCSI Configure high availability for iSCSI 32 - Implement Windows Server Storage Replica List the functionalities and components of Storage Replica Examine the prerequisites for implementing Storage Replica Implement Storage Replica by using Windows Admin Center Implement Storage Replica by using Windows PowerShell 33 - Implement a hybrid file server infrastructure Describe Azure File services Configure Azure Files Configure connectivity to Azure Files Describe Azure File Sync Implement Azure File Sync Deploy Azure File Sync Deploy Azure File Sync 2 Manage cloud tiering Migrate from DFSR to Azure File Sync

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

Duration 3 Days 18 CPD hours This course is intended for This course is for Network Engineers looking to specialize in Azure networking solutions. An Azure Network engineer designs and implements core Azure networking infrastructure, hybrid networking connections, load balance traffic, network routing, private access to Azure services, network security and monitoring. The azure network engineer will manage networking solutions for optimal performance, resiliency, scale, and security. This course teaches Network Engineers how to design, implement, and maintain Azure networking solutions. This course covers the process of designing, implementing, and managing core Azure networking infrastructure, Hybrid Networking connections, load balancing traffic, network routing, private access to Azure services, network security and monitoring. Learn how to design and implement a secure, reliable, network infrastructure in Azure and how to establish hybrid connectivity, routing, private access to Azure services, and monitoring in Azure. Prerequisites Prerequisite courses (or equivalent knowledge and hands-on experience): AZ-104T00 - Microsoft Azure Administrator 1 - Introduction to Azure Virtual Networks Explore Azure Virtual Networks Configure public IP services Design name resolution for your virtual network Enable cross-virtual network connectivity with peering Implement virtual network traffic routing Configure internet access with Azure Virtual NAT 2 - Design and implement hybrid networking Design and implement Azure VPN Gateway Connect networks with Site-to-site VPN connections Connect devices to networks with Point-to-site VPN connections Connect remote resources by using Azure Virtual WANs Create a network virtual appliance (NVA) in a virtual hub 3 - Design and implement Azure ExpressRoute Explore Azure ExpressRoute Design an ExpressRoute deployment Configure peering for an ExpressRoute deployment Connect an ExpressRoute circuit to a virtual network Connect geographically dispersed networks with ExpressRoute global reach Improve data path performance between networks with ExpressRoute FastPath Troubleshoot ExpressRoute connection issues 4 - Load balance non-HTTP(S) traffic in Azure Explore load balancing Design and implement Azure load balancer using the Azure portal Explore Azure Traffic Manager 5 - Load balance HTTP(S) traffic in Azure Design Azure Application Gateway Configure Azure Application Gateway Design and configure Azure Front Door 6 - Design and implement network security Get network security recommendations with Microsoft Defender for Cloud Deploy Azure DDoS Protection by using the Azure portal Deploy Network Security Groups by using the Azure portal Design and implement Azure Firewall Secure your networks with Azure Firewall Manager Implement a Web Application Firewall on Azure Front Door 7 - Design and implement private access to Azure Services Explain virtual network service endpoints Define Private Link Service and private endpoint Integrate private endpoint with DNS Integrate your App Service with Azure virtual networks 8 - Design and implement network monitoring Monitor your networks using Azure monitor Monitor your networks using Azure network watcher

Duration 3 Days 18 CPD hours This course is intended for This course is intended for IT professionals who are experienced in general Windows Server and Windows Client administration. Students should have a foundational knowledge of Windows PowerShell, which they can obtain by taking course 10961C: Automating Administration with Windows PowerShell. In addition, this course provides scripting guidance for Microsoft Azure administrators and developers who support development environments and deployment processes. Overview After completing this course, you will be able to: Create advanced functions. Use Microsoft .NET Framework and REST API in Windows PowerShell. Handle script errors. Use XML, JSON, and custom formatted data. Manage Microsoft Azure resources Analyze and debug scripts Understand Windows PowerShell workflow. This course teaches students how to automate administrative tasks using PowerShell. Students will learn crucial scripting skills such as creating advanced functions, writing controller scripts, and handling script errors. Candidates will learn how to use PowerShell when working with Microsoft Azure, SQL Server, Active Directory, IIS, Windows PowerShell Workflow, .NET resources, the REST API and XML, CSV & JSON formatted data files.This course replaces retired Microsoft course 10962. Module 1: Creating advanced functions Lesson 1: Converting a command into an advanced function Lesson 2: Creating a script module Lesson 3: Defining parameter attributes and input validation Lesson 4: Writing functions that accept pipeline input Lesson 5: Producing complex pipeline output Lesson 6: Using comment-based Help Lesson 7: Using Whatif and Confirm parameters Module 2: Using Microsoft .NET Framework and REST API in Windows PowerShell Lesson 1: Using .NET Framework in PowerShell Lesson 2: Using REST API in PowerShell Module 3: Writing controller scripts Lesson 1: Understanding controller scripts Lesson 2: Writing controller scripts with a user interface Lesson 3: Writing controller scripts that create reports Module 4: Handling script errors Lesson 1: Understanding error handling Lesson 2: Handling errors in a script Module 5: Using XML, JSON, and custom-formatted data Lesson 1: Working with XML formatted data Lesson 2: Working with JSON formatted data Lesson 3: Working with custom-formatted data Module 6: Enhancing server management with Desired State Configuration and Just Enough Administration Lesson 1: Implementing Desired State Configuration Lesson 2: Implementing Just Enough Administration Module 7: Analyzing and debugging scripts Lesson 1: Debugging in Windows PowerShell Lesson 2: Analyzing and debugging an existing script Module 8: Understanding Windows PowerShell Workflow Lesson 1: Understanding Windows PowerShell Workflows Lesson 2: Running Windows PowerShell Workflows

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

Duration 1 Days 6 CPD hours This course is intended for People in different roles and at various stages in their careers can benefit from this fundamentals course. This includes IT professionals, business stakeholders and others who want to be exposed to the customer engagement capabilities of Dynamics 365, students, recent graduates, and people changing careers who want to leverage Dynamics 365 to move to the next level. Overview Describe the customer engagement apps and what they have in common Describe the standard marketing processes and how Dynamics 365 Marketing addresses them Describe Dynamics 365 Marketing features and capabilities Describe additional marketing apps Describe the standard sales processes and how Dynamics 365 Sales addresses them Describe Dynamics 365 Sales capabilities Describe additional sales apps such as Sales Insights and Sales Navigator Describe the standard customer service processes and how Dynamics 365 Customer Serviceaddresses them Describe Dynamics Customer Service capabilities Describe additional sales apps such as Sales Insights and Sales Navigator Describe the standard field service business processes and how Dynamics 365 Field Service addresses Describe how to generate Work Orders Describe the scheduling capabilities of Dynamics 365 Field Service Describe the inventory management capabilities of Dynamics 365 Field Service Describe the asset management capabilities of Dynamics 365 Field Service Describe project-based customer engagement processes addressed by Dynamics 365 Project Operations Describe the sales capabilities of Dynamics 365 Project Operations Describe the project management capabilities of Dynamics 365 Project Operations Describe the resource utilization capabilities of Dynamics 365 Project Operations This course will provide you with a broad introduction to the customer engagement capabilities of Dynamics 365. You will become familiar with the concept of customer engagement, as well as each of the customer engagement apps, including Dynamics 365 Marketing, Dynamics 365 Sales, Dynamics 365 Customer Service, Dynamics 365 Field Service, and the customer relationship management (CRM) capabilities of Dynamics 365 Project Operations. This course will include lecture as well as hands-on labs. Learn the Fundamentals of Dynamics 365 Marketing Get introduced to the Dynamics 365 customer engagement apps Examine Dynamics 365 Marketing Describe Dynamics 365 Marketing capabilities Review Additional Marketing Apps Learn the Fundamentals of Dynamics 365 Sales Explore Dynamics 365 Sales Manage the sales lifecycle with Dynamics 365 Sales Review additional sales apps Learn the Fundamentals of Dynamics 365 Customer Service Examine Dynamics 365 Customer Service Describe Dynamics Customer Service capabilities Review additional customer service apps Learn the Fundamentals of Dynamics 365 Field Service Examine Dynamics Field Service Generate Work Orders in Dynamics 365 Field Service Describe the scheduling capabilities of Dynamics 365 Field Service Examine the inventory management capabilities of Dynamics 365 Field Service Review the asset management capabilities of Dynamics 365 Field Service Learn the Fundamentals of Dynamics 365 Project Operations (CRM) Examine Dynamics 365 Project Operations Describe the sales capabilities of Dynamics 365 Project Operations Plan projects with Dynamics 365 Project Operations Review the resource utilization capabilities of Dynamics 365 Project Operations Additional course details: Nexus Humans MB-910T00 Microsoft Dynamics 365 Fundamentals (CRM) 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-910T00 Microsoft Dynamics 365 Fundamentals (CRM) 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 2 Days 12 CPD hours This course is intended for This class has something for everything, from beginners who wish to customise their data entry forms in SharePoint right up to advanced users who need to use advanced formulas to deliver more bespoke actions to their apps. Overview After taking this course, students will be able to: - Understand when to use PowerApp. - Describe the components of PowerApps and their correct use. - Create PowerApps from existing data sources. - Brand PowerApps. - Customize PowerApps beyond just using the automated wizards. - Connect to a range of data sources from Excel to Azure SQL. - Understand the difference between canvas apps and model-driven apps. - Integrate PowerApps with other Office 365 systems ? including Teams and SharePoint Online. - Administer and Maintain PowerApps Students will be taught how to design, test and publish new apps that work with a variety of data sources. We will take users through a selection of well-crafted lessons to help them build new applications for their business. 1 - AN INTRODUCTION TO POWERAPPS What is PowerApps? The benefits of apps How to get PowerApps Canvas Apps and Model-Driven Apps License Options and Costs Discover PowerApps with Templates Lab 1: Introduction to PowerApps 2 - GETTING STARTED WITH POWERAPPS Building a new app from a data source Add, edit and remove controls Intro to Formulas Testing an app App Settings Publish and Share Apps Version History and Restore PowerApps Mobile App Lab 1: Getting Started 3 - BRANDING AND MEDIA Less is more Duplicate Screens Fonts Screen Colours and Matching Colours Screen Backgrounds Buttons and Icons Hide on Timer Size and Alignment by reference Show and Hide on Timer Lab 1: Branding and Media 4 - POWERAPPS CONTROLS Text Controls for Data Entry and Display Controls ? Drop downs, combo box, date picker, radio button and more Forms ? Add and edit data in underlying data sources quickly Charts ? present information in pie, line and bar charts Lab 1: Build Apps from Blank 5 - DATA SOURCES AND LOGIC Data Storage and Services How do I decide which database to use? Connect to on-premises data - Gateway What is Delegation? Specific Data Examples Displaying Data Lab 1: Data Source and Logic 6 - MODEL-DRIVEN APPS What is a model-driven app? Where will my data be stored? How do create a model-driven app Canvas vs model-driven summary Lab 1: Model-Driven App 7 - POWERAPP INTEGRATION Embed PowerApps in Teams Embed PowerApps in SharePoint Online Start a Flow from a PowerApp Lab 1: PowerApp Integration 8 - ADMINISTRATION AND MAINTENANCE OF POWERAPPS Identify which users have been using PowerApps Reuse an app in another location (move from testing or development to production) Review app usage Prevent a user from using PowerApps Manage environments Lab 1: Administration and Maintenance Additional course details: Nexus Humans 55265 Microsoft PowerApps 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 55265 Microsoft PowerApps 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.

Course Objectives At the end of this course you will be able to: Do advance Table design Do advance Query design and Action Querys Do advance Form design with the use of macros and buttons Export and import data to and from different sources. 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 in company training courses: 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. Advanced Table Design Advanced Field Properties Table Properties Advanced Query Design Advanced Naming Conventions Join Tables in Queries Manage Query Joins Use Self-Joins in Queries Summarise Data in Queries Parameter Queries Action Queries Crosstab Queries Advanced Form Design Create Subforms and Linked Forms Form Controls Command Buttons Form Properties Interface, Start-Up and Navigations Forms Working with Macros Create Single Macros Run Macros Work with Sub Macros Use Conditional Macros Run Macros from Buttons Assign Macros to Events Extending Data Reach Import Data Export Data Work with Linked Tables Managing Databases Object Dependencies Database Documenter Performance Analyzers Regular Management of a Database Access Database Security Who is this course for? Who is this course for? The course is aimed at all users who would like to obtain the necessary skills to create advanced table, query, form and reports as well as to automate tasks with the use of macros. Career path Career path Microsoft Office 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

Start your career as an ENTRY LEVEL-Cloud Architect Program and earn upto £45,000/ Month Looking to step into the fast-paced world of IT support? In the UK alone, IT job postings surged by a whopping 55% in 2022, evidencing the thriving demand for IT professionals. In such a dynamic job market, our Cloud Architect Program online course serves as your launchpad, opening doors to myriad opportunities. Be it your first step into the IT realm or an upgrade to your current skills, we offer unparalleled support, ensuring you're career-ready by the time you complete our course. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. 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Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Cloud Architect Program. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from. Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 14-day money-back guarantee. Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success. Here are the courses we will provide once you enrol in the program: Course 01: Microsoft Azure Cloud Concepts Course 02: Google Cloud for Beginners Course 03: Azure Administrator Essentials Course 04: Fundamentals of Azure Virtual Desktop Course 05: Learn Azure AD PowerShell for M365 Course 06: Azure Masterclass Course 07: Azure Machine Learning Course 08: Cyber Security Advanced Training Course 09: Introduction to Virtual Apps and Virtual Desktop Solution Course 10: Windows 10 Installation Guide Course 11: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 12: CompTIA Network (N10-007) Course 13: CompTIA Security+ (SY0-601) Course 14: AWS Certified Database Specialty Exam Preparation (DBS-C01) Course 15: AWS Essentials Course 16: AWS Certified Solutions Architect Associate 2021 Course 17: Active Directory with Windows Server 2016 Course 18: Cryptography Course 19: Business and Data Analytics for Beginners Course 20: Python from Scratch Course 21: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Course 22: Practical Project Management How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Cloud Architect Program Training Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Cloud Architect Program Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 22 premium courses related to Cloud Architect Programming. These courses will teach you the knowledge and skills required to become a successful Cloud Architect Programmer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3: Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the IT industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in the relevant industry, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Cloud Architect Programming. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Cloud Architect Program Training program is ideal for: Aspiring Cloud Architect Program seeking comprehensive training and industry-specific career guidance. Individuals looking to transition into a tech-based role and require personalised mentorship. Graduates wanting to enhance their employability with tailored CV building and interview preparation. Career changers looking for an all-in-one solution to securing a job in the IT industry. Tech enthusiasts desiring to leverage industry connections for job opportunities in cloud computing. Requirements No experience required. Just enrol & start learning. Career path IT Support Technician: £18,000 to £25,000 per year. Network Support Engineer: £25,000 to £35,000 per year. Network Administrator: £30,000 to £45,000 per year. Network Engineer: £35,000 to £55,000 per year. Senior Network Engineer: £50,000 to £70,000 per year. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter