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Duration 2 Days 12 CPD hours This course is intended for Students should have a fundamental understanding of financial principles and business operations. An understanding of cloud computing is helpful but isn't necessary. Overview After completing this course, students will be able to: Describe the core capabilities of Dynamics 365 finance and operations apps Describe the capabilities and functionality of Dynamics 365 Finance Describe the capabilities and functionality of Dynamics 365 Supply Chain Management Describe the capabilities and functionality of Dynamics 365 Commerce Describe the capabilities and functionality of Dynamics 365 Human Resources Describe the capabilities and functionality of Dynamics 365 Project Operations (ERP) This course will provide you with a broad introduction to the finance and operations capabilities of Dynamics 365. You will become familiar with the concept of enterprise resource management (ERP), as well as each of the finance and operations apps, including Dynamics 365 Supply Chain Management, Dynamics 365 Finance, Dynamics 365 Commerce , Dynamics 365 Human Resources, and the ERP capabilities of Dynamics 365 Project Operations. This course will include lecture as well as hands-on-labs. Module 1: Explore the core capabilities of Dynamics 365 finance and operations apps Get introduced to the finance and operations apps Create reports and integrate finance and operations apps Module 2: Learn the fundamentals of Dynamics 365 Finance Explore Dynamics 365 Finance core capabilities Explore general ledger Explore accounts payable and accounts receivable Explore expense management, fixed asset management, and budgeting Module 3: Learn the fundamentals of Dynamics 365 Supply Chain Management Identify general capabilities of Dynamics 365 Supply Chain Management Explore warehouse and inventory capabilities Explore manufacturing strategies in Dynamics 365 Supply Chain Management Module 4: Learn the fundamentals of Dynamics 365 Commerce Explore Dynamics 365 Commerce capabilities Explore Microsoft Dynamics 365 B2B e-commerce, Store Commerce and Clienteling Module 5: Learn the fundamentals of Dynamics 365 Human Resources Explore Dynamics 365 Human Resources core capabilities Explore personnel management capabilities in Dynamics 365 Human Resources Module 6: Learn the fundamentals of Dynamics 365 Project Operations Identify project life cycle management capabilities in Dynamics 365 Project Operations Explore the project planning and execution capabilities of 365 Project Operations

Boost your career with this CPD-accredited Microsoft Office course. Master Word, Excel, PowerPoint, and Access to enhance productivity and efficiency.

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 5 Days 30 CPD hours This course is intended for This course is intended for IT professionals who have some experience working with Windows Server, and who are looking for a single five-day course that covers storage and compute technologies in Windows Server. This course will help them update their knowledge and skills related to storage and compute for Windows Server. Overview Prepare and install Windows Server and plan a server upgrade and migration strategy. Describe the various storage options, including partition table formats, basic and dynamic disks, file systems, virtual hard disks, and drive hardware, and explain how to manage disks and volumes. Describe enterprise storage solutions, and select the appropriate solution for a given situation. Implement and manage Storage Spaces and Data Deduplication. Install and configure Microsoft Hyper-V, and configure virtual machines. Deploy, configure, and manage Windows and Hyper-V containers. Describe the high availability and disaster recovery technologies in Windows Server. Plan, create, and manage a failover cluster. Implement failover clustering for Hyper-V virtual machines. Configure a Network Load Balancing (NLB) cluster, and plan for an NLB implementation. Create and manage deployment images. Manage, monitor, and maintain virtual machine installations. This five-day course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing storage and compute by using Windows Server, and who need to understand the scenarios, requirements, and storage and compute options that are available and applicable to Windows Server. Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and Server 2019. The course and labs also focus on how to administer Windows Server using not only the traditional tools such as PowerShell and Server manager, but also Windows Admin Center. Prerequisites A basic understanding of networking fundamentals. An awareness and understanding of security best practices. An understanding of basic Active Directory concepts. Basic knowledge of server hardware. Experience supporting and configuring Windows client operating systems such as Windows 10 or Windows 11. 1 - Installing, upgrading, and migrating servers and workloads Introducing Windows Server Preparing and installing Server Core Preparing for upgrades and migrations Migrating server roles and workloads Windows Server activation models 2 - Configuring local storage Managing disks in Windows Server Managing volumes in Windows Server 3 - Implementing enterprise storage solutions Overview of DAS, NAS, and SANs Comparing Fibre Channel, iSCSI, and Fibre Channel over Ethernet Understanding iSNS, DCB, and MPIO Configuring sharing in Windows Server 4 - Implementing Storage Spaces and Data Deduplication Implementing Storage Spaces Managing Storage Spaces Implementing Data Deduplication 5 - Installing and configuring Hyper-V and virtual machines Overview of Hyper-V Installing Hyper-V Configuring storage on Hyper-V host servers Configuring networking on Hyper-V host servers Configuring Hyper-V virtual machines Managing virtual machines 6 - Deploying and managing containers Overview of containers in Windows Server Deploying Windows Server and Hyper-V containers Installing, configuring, and managing containers by using Docker 7 - High availability and disaster recovery Defining levels of availability Planning high availability and disaster recovery solutions with Hyper-V virtual machines Backing up and restoring by using Windows Server Backup High availability with failover clustering in Windows Server 8 - Implementing failover clustering Planning a failover cluster Creating and configuring a new failover cluster Maintaining a failover cluster Troubleshooting a failover cluster Implementing site high availability with stretch clustering 9 - Implementing failover clustering with Windows Server Hyper-V Overview of the integration of Hyper-V with failover clustering Implementing Hyper-V VMs on failover clusters Key features for VMs in a clustered environment 10 - Implementing Network Load Balancing Overview of NLB Configuring an NLB cluster Planning an NLB implementation 11 - Creating and managing deployment images Introduction to deployment images Creating and managing deployment images by using MDT Virtual machine environments for different workloads 12 - Managing, monitoring, and maintaining virtual machine installations WSUS overview and deployment options Update management process with WSUS Overview of Windows PowerShell DSC Overview of Windows Server monitoring tools Using Performance Monitor Monitoring event logs

DNS training course description This three-day hands on DNS training course studies both the UNIX BIND and the Microsoft (MS DNS) implementations. The course starts with the big picture of how DNS works, then client configuration. Primary and secondary servers are then configured, progressing to DDNS, subdomains and security issues. Hands on sessions follow all sections ensuring that troubleshooting techniques are used throughout the course. Students choose whether to use Windows or UNIX for the hands on sessions. What will you learn Describe the architecture of DNS. Explain how DNS works. Install, configure, maintain and troubleshoot DNS DNS training course details Who will benefit: Technical staff wanting to learn DNS including: Network personnel System administrators. Prerequisites: UNIX Fundamentals (or Windows knowledge). TCP/IP foundation for engineers. Duration 3 days DNS training course contents What is DNS? Hostnames, Name resolution, host files, host file problems, What is DNS? The DNS namespace, TLDs, gTLDs, registering domains, Nameservers, how DNS works. Hands on Testing DNS servers on the Internet. DNS clients Ways to use DNS, dynamic and static configuration, multiple nameservers, domain name, searchlist, resolution issues, testing the configuration. Hands on Client configuration. DNS server software Implementations, Microsoft, BIND, daemons and services, installation, starting and stopping servers. Hands on Setting up a DNS server. DNS zone files What is a zone, Zone file overview, Forward zones, Reverse zones, Resource records, A records, PTR, CNAME, Root hints, local zone file. BIND and Microsoft configuration. Hands on Server configuration files. NS and applications MX records, Mail server load balancing, SPF, SRV records, VoIP and SRV, Microsoft and SRV, NAPTR. Hands on Testing records with dig and nslookup. DNS slaves and other servers DNS server types, Server resilience, Slaves, Zone transfers, SOA records, Serial numbers, recommendations, polling based zone transfers, NOTIFY, AD integration, DNS caching, Negative caching, TTL, Caching only servers. Hands on Masters, slaves and zone transfers. The DNS protocol The DNS stack, DNS port numbers, DNS queries, The DNS header, header section format, question format, other section format. Hands on Troubleshooting DNS with Wireshark. Dynamic DNS DHCP, DDNS, IXFR, WINS integration. Hands on Dynamic DNS. Subdomains Root servers, root server selection, Authority, delegation, NS records, subdomain with and without delegation, reverse delegation. Hands on Delegation, setting up a subdomain server. DNS security Restricting queries, DNS and firewalls, Split DNS, forwarders, internal root servers, the use of proxy servers, DNSSEC, TSIG. Hands on Hardening a DNS server. DNS and IPv6 What is IPv6, IPv6 addressing, IPv6 DNS issues, AAAA, IPv6 reverse delegation. Troubleshooting DNS Problem solving, DNS troubleshooting, Zone file checking, Some common errors, Log files, tools, nslookup, dig, host, DNS design, performance, load balancing. Hands on Putting it all together. Summary Useful books, Internet sites, RFCs. Appendix: ENUM What is ENUM, How ENUM works, NAPTR.

Duration 5 Days 30 CPD hours This course is intended for This course is primarily intended for existing IT professionals who have some AD DS knowledge and experience and who aim to develop knowledge about identity and access technologies in Windows Server. This would typically include: ?AD DS administrators who are looking to train in identity and access technologies with Windows Server 2016, Windows Server 2019 or Windows Server 2022. ?System or infrastructure administrators with general AD DS experience and knowledge who are looking to cross-train in core and advanced identity and access technologies in Windows Server 2016, Windows Server 2019 or Windows Server 2022. Overview Install and configure domain controllers. Manage objects in AD DS by using graphical tools and Windows PowerShell. Implement AD DS in complex environments. Implement and administer Active Directory Rights Management Services (AD RMS). Implement AD DS sites, and configure and manage replication. Implement and manage Group Policy Objects (GPOs). Manage user settings by using GPOs. Secure AD DS and user accounts. Implement and manage a certificate authority (CA) hierarchy with AD CS. Deploy and manage certificates. Implement and administer AD FS. Implement synchronization between AD DS and Azure AD. Some exposure to and experience with Active Directory concepts and technologies in Windows Server. Experience working with and configuring Windows Server. 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 basic server virtualization concepts. Monitor, troubleshoot, and establish business continuity for AD DS services. This five-day instructor-led course teaches IT professionals how to deploy and configure Active Directory Domain Services (AD DS) in a distributed environment, how to implement Group Policy, how to perform backup and restore, and how to monitor and troubleshoot Active Directory - related issues with Windows Server. Additionally, this course teaches students how to deploy other Active Directory server roles, such as Active Directory Federation Services (AD FS) and Active Directory Certificate Services (AD CS). Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and Server 2019. The course and labs also focus on how to administer Windows Server using not only the traditional tools such as PowerShell and Server manager, but also Windows Admin Center. Prerequisites Some exposure to and experience with Active Directory concepts and technologies in Windows Server. Experience working with and configuring Windows Server. 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 basic server virtualization concepts. 1 - Installing and configuring domain controllers Overview of AD DS Overview of AD DS domain controllers Deploying a domain controller 2 - Managing objects in AD DS Managing user accounts Managing groups in AD DS Managing computer objects in AD DS Using Windows PowerShell for AD DS administration Implementing and managing OUs 3 - Advanced AD DS infrastructure management Overview of advanced AD DS deployments Deploying a distributed AD DS environment Configuring AD DS trusts 4 - Implementing and administering AD DS sites and replication Overview of AD DS replication Configuring AD DS sites Configuring and monitoring AD DS replication 5 - Implementing Group Policy Introducing Group Policy Implementing and administering GPOs Group Policy scope and Group Policy processing Troubleshooting the application of GPOs 6 - Managing user settings with Group Policy Implementing administrative templates Configuring Folder Redirection, software installation, and scripts Configuring Group Policy preferences 7 - Securing Active Directory Domain Services Securing domain controllers Implementing account security Implementing audit authentication Configuring managed service accounts 8 - Deploying and managing AD CS Deploying CAs Administering CAs Troubleshooting and maintaining CAs 9 - Deploying and managing certificates Deploying and managing certificate templates Managing certificate deployment, revocation, and recovery Using certificates in a business environment Implementing and managing smart cards 10 - Implementing and administering AD FS Overview of AD FS AD FS requirements and planning Deploying and configuring AD FS Web Application Proxy Overview 11 - Implementing and administering AD RMS Overview of AD RMS Deploying and managing an AD RMS infrastructure Configuring AD RMS content protection 12 - Implementing AD DS synchronization with Microsoft Azure AD Planning and preparing for directory synchronization Implementing directory synchronization by using Azure AD Connect Managing identities with directory synchronization 13 - Monitoring, managing, and recovering AD DS Monitoring AD DS Managing the Active Directory database Active Directory backup and recovery options for AD DS and other identity and access solutions