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Software development training course description This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-361, and build an understanding of these topics: Core programming, Object-Oriented programming, general software development, web applications, desktop applications, and databases. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. What will you learn Describe core programming. Explain Object Oriented programming. Describe general software development. Describe Web applications. Describe desktop applications. Explain how databases work. Software development training course details Who will benefit: Anyone looking to learn the fundamentals of software. Prerequisites: None. Duration 3 days Software development training course contents Core programming Computer storage and data types How a computer stores programs and the instructions in computer memory, memory stacks and heaps, memory size requirements for the various data storage types, numeric data and textual data. Computer decision structures Various decision structures used in all computer programming languages; If decision structures; multiple decision structures, such as If…Else and switch/Select Case; reading flowcharts; decision tables; evaluating expressions. Handling repetition For loops, While loops, Do...While loops and recursion. Understand error handling Structured exception handling. Object-oriented programming Classes Properties, methods, events and constructors; how to create a class; how to use classes in code. Inheritance Inheriting the functionality of a base class into a derived class. Polymorphism Extending the functionality in a class after inheriting from a base class, overriding methods in the derived class. Encapsulation Creating classes that hide their implementation details while still allowing access to the required functionality through the interface, access modifiers. General software development Application life cycle management Phases of application life cycle management, software testing. Interpret application specifications Application specifications, translating them into prototypes, code, select appropriate application type and components. Algorithms and data structures Arrays, stacks, queues, linked lists and sorting algorithms; performance implications of various data structures; choosing the right data structure. Web applications Web page development HTML, CSS, JavaScript. ASP.NET web application development Page life cycle, event model, state management, client-side versus server-side programming. Web hosting Creating virtual directories and websites, deploying web applications, understanding the role of Internet Information Services. Web services Web services that will be consumed by client applications, accessing web services from a client application, SOAP, WSDL. Desktop applications Windows apps UI design guideline categories, characteristics and capabilities of Store Apps, identify gestures. Console-based applications Characteristics and capabilities of console- based applications. Windows Services Characteristics and capabilities of Windows Services. Databases Relational database management systems Characteristics and capabilities of database products, database design, ERDs, normalisation concepts. Database query methods SQL, creating and accessing stored procedures, updating and selecting data. Database connection methods Connecting to various types of data stores, such as flat file; XML file; in-memory object; resource optimisation.

ASP.Net training course description Our hands on ASP.NET training course that will teach students how to create a simple ASP.NET application that delivers dynamic content to the web. The course is applicable for those using C# or VB.NET with ASP.NET. What will you learn Create a web form with server controls Separate page code from content with code-behind pages, page controls, and components. Display dynamic data from a data source by using ADO.NET and data binding. Debug ASP.NET pages by using trace. ASP.Net training course details Who will benefit: Programmers working with ASP.NET. Prerequisites: HTML5 development fundamentals VBNet_course.htm or C++ programming foundation Duration 3 days ASP.Net training course contents Working with ASP.NET Introducing ASP.NET. Creating web forms. Adding ASP.NET code to a page. Handling page events. Using Web Controls Web controls and HTML controls compared. Using intrinsic controls. Using input validation controls. Introduction to user controls. Using trace in ASP.NET pages Overview of tracing. Trace information. Page-level trace and application-level trace. Separating code from content Advantages of partitioning an ASP.NET page. Creating and using code-behind pages. Creating and using components and classes. Inheritance of classes. Interfaces. Using ADO .NET to access data Accessing text files. Overview of ADO .NET Connecting to a data source. Accessing data with DateSets. Using DataViews. Accessing data with DataReaders. Using XML data with a DataSet. Creating an ASP.NET Web Application Requirements of a web application. Sharing information between pages. Securing an ASP.NET application. Web services. Creating a simple web service using Visual Studio.NET Calling a web service using Visual Studio.NET

Duration 4 Days 24 CPD hours This course is intended for If you're a developer with a keen interest in providing automated solutions for your organization, this certification could be a great fit for you. You automate time-consuming and repetitive tasks by using Microsoft Power Automate. You review solution requirements, create process documentation, and design, develop, deploy, integrate, troubleshoot, and evaluate solutions. Working with business stakeholders, you help to improve and automate business workflows. Overview After completing this course, students will be able to: Design RPA solutions Develop RPA solutions Deploy and manage RPA solutions Candidates for this course automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions. Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions. Module 1: Get started with Power Automate for desktop Get started with Power Automate for desktop by learning about flows, creating automated steps, and flow development essentials. Module 2: Automate processes with Robotic Process Automation and Power Automate for desktop Work with Power Automate for desktop to record Windows and Web applications, but also use out of box actions such as manipulating Excel documents as part of an end to end invoice processing solution. Module 3: Work with Power Automate for desktop Work with Power Automate for desktop options, flows, recording features, conditions, loops, variables, images, and error and exception handling. Module 4: Work with different technologies in Power Automate for desktop Learn how to automate email handling, Excel, user interface, and system services with Power Automate for desktop. Module 5: Implement advanced logic in Power Automate for desktop Learn how to work with system flows, control flows, mimic mouse actions, as well as operations used to manipulate text, date, and time in Power Automate for desktop. Module 6: Build expertise with Power Automate for desktop Learn how to use Power Automate for desktop to work with Power Automate, OCR technologies, and scripting. Module 7: Build custom connectors for Power Automate This Learning Path explores custom connectors and explains how to configure them and use them with Microsoft Power Automate Module 8: Use best practices to secure and govern Microsoft Power Platform environments This module focuses on introducing Microsoft Power Platform environments and their role in creating Data Loss Prevention (DLP) policies by using examples and use cases. A brief introduction and overview of tools will also be discussed, including Microsoft Power Platform and Power Automate Admin experiences and Microsoft Power Platform Center of Excellence (COE) toolkit. Additional course details: Nexus Humans PL-500T00 Microsoft Power Automate RPA 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 PL-500T00 Microsoft Power Automate RPA 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.

CWSP training course description A hands-on training course concentrating solely on WiFi security with an emphasis on the delegates learning the necessary knowledge and skills to pass the CWSP exam. The course progresses from simple authentication, encryption and key management onto in depth coverage of 802.X and EAP along with many other security solutions such as access control, intrusion prevention and secure roaming. What will you learn Demonstrate the threats to WiFi networks. Secure WiFi networks. Configure: WPA2 RADIUS 802.1x EAP Pass the CWSP exam. CWSP training course details Who will benefit: Technical network staff. Technical security staff. Prerequisites: Certified Wireless Network Associate. Duration 5 days CWSP training course contents WLAN Security overview Standards, security basics, AAA, 802.11 security history. Hands on WLAN connectivity. Legacy 802.11 security Authentication: Open system, shared key. WEP. VPNs. MAC filters. SSID segmentation, SSID cloaking. Hands on Analysing 802.11 frame exchanges, viewing hidden SSIDs. Encryption Basics, AES, TKIP, CCMP, WPA, WPA2. Hands on Decrypting 802.11 data frames. 802.11 layer 2 authentication 802.1X: Supplicant, Authenticator, Authentication server. Credentials. Legacy authentication. EAP, Weak EAP protocols, Strong EAP protocols: EAP -PEAP, EAP-TTLS, EAP-TLS, EAP-FAST. Hands on Analysing 802.1X/EAP frames. 802.11 layer 2 dynamic key generation Robust Security Network. Hands on Authentication and key management. SOHO 802.11 security WPA/WPA2 personal, Preshared Keys, WiFi Protected Setup (WPS). Hands on PSK mapping. WLAN security infrastructure DS, Autonomous APs, WLAN controllers, split MAC, mesh, bridging, location based access control. Resilience. Wireless network management system. RADIUS/LDAP servers, PKI, RBAC. Hands on 802.1X/EAP configuration. RADIUS configuration. 802.11 Fast secure roaming History, RSNA, OKC, Fast BSS transition, 802.11k. Hands on Roaming. Wireless security risks Rogue devices, rogue prevention. Eavesdropping, DOS attacks. Public access and hotspots. Hands on Backtrack. WiFi security auditing Layer 1 audit, layer 2 audit, pen testing. WLAN security auditing tools. WiFi security monitoring Wireless Intrusion Detection and Prevention Systems. Device classification, WIDS/WIPS analysis. Monitoring. 802.11w. Hands on Laptop spectrum analysers. VPNs, remote access, guest access Role of VPNs in 802.11, remote access, hotspots, captive portal. Wireless security policies General policy, functional policy, recommendations.

Securing Linux systems training course description This course teaches you everything you need to know to build a safe Linux environment. The first section handles cryptography and authentication with certificates, openssl, mod_ssl, DNSSEC and filesystem encryption. Then Host security and hardening is covered with intrusion detection, and also user management and authentication. Filesystem Access control is then covered. Finally network security is covered with network hardening, packet filtering and VPNs. What will you learn Secure Linux accounts. Secure Linux file systems. Secure Linux access through the network. Securing Linux systems training course details Who will benefit: Linux technical staff needing to secure their systems. Prerequisites: Linux system administration (LPIC-1) Duration 5 days Securing Linux systems training course contents Cryptography Certificates and Public Key Infrastructures X.509 certificates, lifecycle, fields and certificate extensions. Trust chains and PKI. openssl. Public and private keys. Certification authority. Manage server and client certificates. Revoke certificates and CAs. Encryption, signing and authentication SSL, TLS, protocol versions. Transport layer security threats, e.g. MITM. Apache HTTPD with mod_ssl for HTTPS service, including SNI and HSTS. HTTPD with mod_ssl to authenticate users using certificates. HTTPD with mod_ssl to provide OCSP stapling. Use OpenSSL for SSL/TLS client and server tests. Encrypted File Systems Block device and file system encryption. dm-crypt with LUKS to encrypt block devices. eCryptfs to encrypt file systems, including home directories and, PAM integration, plain dm-crypt and EncFS. DNS and cryptography DNSSEC and DANE. BIND as an authoritative name server serving DNSSEC secured zones. BIND as an recursive name server that performs DNSSEC validation, KSK, ZSK, Key Tag, Key generation, key storage, key management and key rollover, Maintenance and resigning of zones, Use DANE. TSIG. Host Security Host Hardening BIOS and boot loader (GRUB 2) security. Disable useless software and services, sysctl for security related kernel configuration, particularly ASLR, Exec-Shield and IP / ICMP configuration, Exec-Shield and IP / ICMP configuration, Limit resource usage. Work with chroot environments, Security advantages of virtualization. Host Intrusion Detection The Linux Audit system, chkrootkit, rkhunter, including updates, Linux Malware Detect, Automate host scans using cron, AIDE, including rule management, OpenSCAP. User Management and Authentication NSS and PAM, Enforce password policies. Lock accounts automatically after failed login attempts, SSSD, Configure NSS and PAM for use with SSSD, SSSD authentication against Active Directory, IPA, LDAP, Kerberos and local domains, Kerberos and local domains, Kerberos tickets. FreeIPA Installation and Samba Integration FreeIPA, architecture and components. Install and manage a FreeIPA server and domain, Active Directory replication and Kerberos cross-realm trusts, sudo, autofs, SSH and SELinux integration in FreeIPA. Access Control Discretionary Access Control File ownership and permissions, SUID, SGID. Access control lists, extended attributes and attribute classes. Mandatory Access Control TE, RBAC, MAC, DAC. SELinux, AppArmor and Smack. etwork File Systems NFSv4 security issues and improvements, NFSv4 server and clients, NFSv4 authentication mechanisms (LIPKEY, SPKM, Kerberos), NFSv4 pseudo file system, NFSv4 ACLs. CIFS clients, CIFS Unix Extensions, CIFS security modes (NTLM, Kerberos), mapping and handling of CIFS ACLs and SIDs in a Linux system. Network Security Network Hardening FreeRADIUS, nmap, scan methods. Wireshark, filters and statistics. Rogue router advertisements and DHCP messages. Network Intrusion Detection ntop, Cacti, bandwidth usage monitoring, Snort, rule management, OpenVAS, NASL. Packet Filtering Firewall architectures, DMZ, netfilter, iptables and ip6tables, standard modules, tests and targets. IPv4 and IPv6 packet filtering. Connection tracking, NAT. IP sets and netfilter rules, nftables and nft. ebtables. conntrackd Virtual Private Networks OpenVPN server and clients for both bridged and routed VPN networks. IPsec server and clients for routed VPN networks using IPsec-Tools / racoon. L2TP.

DASA DevOps Professional: Enable and Scale: In-House Training DevOps embodies both cultural changes and practices through which organizations can facilitate the IT functions of software development (Dev) and software operation (Ops). The DevOps movement advocates automation and phase-based monitoring practices. Its objectives include: Decreasing development cycles · Increasing deployment frequency Improving the reliability of releases Developing a closer alignment with business objectives The DASA DevOps Professional: Enable and Scale course (formerly known as DevOps Practitioner) is designed to provide individuals with the core education necessary to put DevOps into practice. With the help of DevOps theory, pragmatic examples and exercises, and interactive group discussions, the course will help you understand how to apply the necessary skills to practice DevOps. Building on the knowledge learned on theFundamentals course (the 'why'), you will learn the 'how'. The DevOps Professional: Enable and Scale course focuses on improving the skill set of the DASA competency model, which includes competencies like Courage, Teambuilding, DevOps Leadership, and Continuous Improvement. On completion of the DASA DevOps Professional: Enable and Scale training and passing the exam, the certification is awarded. What you will Learn At the end of this program, you will be able to: Explain the importance of DevOps culture and the aspects that can influence it Explain why courage, teambuilding, leadership, and continuous improvement are required in a DevOps environment Explain why courage is essential to enable trust, honesty, and experimentation Identify and evaluate different types of behavior in a DevOps environment Recognize the signals indicating impediments and/or team dysfunctions Describe how to form good DevOps teams and assess their maturity List the effects of happiness and motivation on team performance Identify how leaders encourage feedback and transparency Discuss the factors that leaders can influence to build trust Explain how and why leaders promote a 'safe to fail' environment Analyze value streams to improve throughput and flow Facilitate the tools for continuous improvement: structured problem-solving workshops, Story Mapping sessions, and retrospectives TEAMBUILDING Teambuilding is about understanding the other's point of view, collaboration, mutual accountability, common purpose, and the ability to integrally support the service/product. Design Teams Characteristics of a DevOps team Skills of a DevOps Team Self-organization and autonomy Rules to consider when designing DevOps teams Build Teams Effects of happiness and motivation on performance Feedback Creating high-performance teams Governance Governance within teams and between multiple teams Governance between organizations DevOps contracts DEVOPS LEADERSHIP This module describes how to facilitate teams to high performance, DevOps behavior, transparency, and a service lifecycle mindset. Build Culture Creating the right environment and providing vision and purpose Stimulating the right behavior Servant leadership: giving control, supporting, and inspiring Create Purpose Defining and aligning purpose Purpose of having a purpose Alignment versus autonomy Be a Servant Leader Give control to the team Inspire and support the team Focus on Success Output versus outcome Measuring and steering COURAGE The Courage module is about coaching courageous behavior, proactivity, reflection, trust, open discussions, experimentation, fail fast, and the courage to change. Build Courage The importance of courage Courage in relationship with leadership and feedback Enabling courage at the team level Dealing with failure Think Different Courage day to day Encourage critical thinking Techniques to promote courageous behavior VALUE CUSTOMER-CENTRIC ACTION This module describes the important aspects that are relevant to identify and deliver the required and expected value for all relevant stakeholders. Aspects of Value and Managing Expectations The different aspects of value Stakeholder management Customer collaboration and using customer feedback How to do prioritization CONTINUOUS IMPROVEMENT Continuous improvement describes the importance of a Kaizen mindset, quality at the source, first time right, knowledge-sharing, and the ability to adapt. Build Flow Understanding the importance of flow Using Lean to optimize flow Kaizen as a mindset Radical change versus Kaizen Using Pull to optimize flow Continuous Improvement Tools Kaizen Event Value Stream Mapping Visual Management Retrospective Daily Standup Five Times Why

This masterclass will enable you to gain comprehensive awareness and be a supportive guide for Key Staff through fully understanding recent changes and developments in one of the fastest growing categories of safeguarding concerns.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the DP-203T00 Data Engineering on Microsoft Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Microsoft Active Directory course description A thorough understanding of this system is essential for anyone managing enterprise MS networks. Essential theory is complimented with a high level of hands on practice allowing delegates to observe the idiosyncrasies of Active Directory and Group Policy at first hand. Delegates learn the fundamental theory of AD and progress onto building a multi-domain network in the classroom. The course includes troubleshooting methods, and essential maintenance procedures. This course is designed to teach you the skills needed for day to day management of these technologies. What will you learn Install AD on multiple PCs. Use the tools to create and manage objects. Create appropriate group policies to restrict selected user's desktops and network access. Install DNS to support Active Directory without loosing Internet Connectivity. Maintain and troubleshoot AD problems Backup Active Directory. Microsoft Active Directory course details Who will benefit: Technical staff working with AD based networks. Prerequisites: Supporting Windows server. Duration 3 days Microsoft Active Directory course contents Introduction to Active Directory Network authentication methods, Active Directory defined, AD naming conventions, network management with AD, AD structures: Domains, Organisational Units, Forests & Trees, Sites, The Global Catalogue. Windows 2003 new features, installing AD. Hands on Installing an AD network. Windows overview Management methods Server management tools, installing the additional tools, Terminal Server: Administration mode, Administrator accounts in AD, Local Security Policy. Hands on Install the management tools, Management using Terminal Services. Creating & Managing Objects (a quick look) AD management tools, AD users and computers, Creating & managing OUs, User Accounts and groups, controlling access to AD objects, moving objects, Publishing resources, locating objects in AD, delegating authority. Hands on Creating a control OU structure and delegating authority. Introduction to Group Policies What are Group Policies? Where Group Policy data is stored, security, Group Policy flow. Hands on Implementing Group Policies Working with Group Policies Local security templates, administrative templates, scripts, folder redirection, software deployment. Hands on Scripts, redirecting the start menu, creating a secure, robust desktop environment. Implementing DNS DNS basics, troubleshooting, implementing DNS zones. Hands on Building a unified DNS solution. Maintaining and managing the AD database AD support tools, database internal structure, replication, replication tools, Single Operations Masters, tools for maintenance, maintenance techniques, Backing up AD, Directory Services restore mode, NTDSUtil, Authoritative & non-authoritative restoration, rebuilding. Hands on NTDSUtil.

Satellite comms training course description A theory based course providing a foundation in how satellite communication systems work and the terminology used in the field. What will you learn Describe the satellite communications architecture. Recognise where to use satellite communication systems. Explain how satellite communications systems work. Satellite comms training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 2 days Satellite comms training course contents Satellite systems architecture Suppliers, bearers, teleports, subscribers, components, how satellite communications works. Terminals Antenna, VSAT, circulators, filters, LNA, HPA, up/ down converters, modems. Satellites Satellite components, payloads, satellite types: GEO and non-GEO. Satellite transmission Satellite C and Ku bands, Modulation, AM, FM, PSK, QPSK, FDMA, CDMA. Satellite services Regulatory issues; DVB and video distribution via satellite; how reporters uplink news, Internet services over DVB; broadband services; multicast internet services via satellite; multimedia meshed networking using VSATs; military small terminal satcoms. Satellite engineering Link budgets, Spectrum analysis, Power meter