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Duration 4 Days 24 CPD hours This course is intended for While no prior programming or web development experience is required, target students should have good foundational computer skills. Overview Set up the tools and resources you need to perform Web Development. Create web pages in HTML, constructing valid, well-formed elements, including navigation links, sections, titles, and semantic markup. Enhance HTML content with tables, images, movies, and audio. Apply styles to HTML elements using CSS. Use CSS to format the edges, size, position, and layering of HTML elements. Apply complex style rules using advanced CSS selectors, including pseudo-class selectors, structural selectors, and pseudo-element selectors. Create complex layouts using CSS newspaper style columns, grid layouts, and flexible box layouts. Improve the quality of web content, including adaptability (different displays and devices), searchability, usability, and accessibility. Submit data through URL query strings and web forms for processing by a web application server. Write JavaScript code to make web pages more interactive, perform data processing tasks directly in the browser, and manipulate items in the current web page. Write JavaScript code to iterate through collections of elements in a page to get and set their attributes and add event listener code. Use third-party libraries and frameworks for web front-end development. Modern organizations depend heavily on the web to perform core business operations such as marketing, advertising, and selling products, providing services, and communicating with customers, partner organizations, and employees. Whatever you're creating on the web, HTML, CSS, and JavaScript? likely play an important role. These three languages provide the core toolkit for anyone looking to perform web development work. This course covers the fundamentals of web development using these three languages. Prerequisites This course assumes that students have strong experience working with computers. Previous experience programming in other languages is helpful, but not required for students to benefit from this course. Lesson 1: Setting Up Your Web Development Environment Topic A: Prepare Your Web Platform Topic B: Prepare Your Web Development Tools and Processes Topic C: Monitor the Web Request-Response Cycle Lesson 2: Creating Web Content in HTML Topic A: Create a Basic Web Page Topic B: Provide Navigation Links Between Web Pages Topic C: Improve Web Page Structure and Navigation Lesson 3: Adding Tables and Multimedia Content to a Web Page Topic A: Create a Table Topic B: Embed Images, Movies, and Audio in a Web Page Lesson 4: Applying Styles to Web Content Topic A: Apply Styles to HTML Topic B: Create a Style Sheet Topic C: Use Web Fonts Lesson 5: Controlling Edges, Size, and Position Topic A: Format Element Edges and Corners Topic B: Control an Element's Height and Width Topic C: Control an Element's Position and Layering Topic D: Normalize and Reset Browser CSS Defaults Lesson 6: Applying Complex Style Rules Topic A: Use Advanced Selectors Topic B: Manage User Interface States Topic C: Make Structure Apparent to Users Topic D: Use CSS Pseudo-Element Selectors Lesson 7: Creating Complex Layouts Topic A: Use CSS to Create Newspaper Style Columns Topic B: Use CSS to Create Grid Layouts Topic C: Use CSS to Create Flexible Box Layouts Lesson 8: Improving Web Content Topic A: Adjust the Layout for a Wide Variety of Devices Topic B: Perform Basic Search Engine Optimization Topic C: Test Your Website Lesson 9: Submitting Data to a Web Server for Processing Topic A: Submit Data Through a URL Topic B: Submit Data Through a Web Form Lesson 10: Writing JavaScript Code Topic A: Add JavaScript to a Web Page Topic B: Perform Operations on Data Topic C: Program Repetitive Tasks Topic D: Manipulate DOM Objects Lesson 11: Enumerating and Processing Collections of Elements Topic A: Enumerate Elements Topic B: Attach Events Through Code Lesson 12: Using Third-Party Libraries and Frameworks Topic A: Use a Third-Party JavaScript Library Topic B: Create a Web Page Based on a Third-Party Framework Additional course details: Nexus Humans Web Development with HTML5, CSS, and JavaScript (v1.0) 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 Web Development with HTML5, CSS, and JavaScript (v1.0) 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.

Data centre infrastructure course description This course provides a foundation in data centre infrastructure technologies. It begins with a tour of virtualisation and the impact of this on the network before moving on to the spine and leaf design, how it works and how to scale. Layer 2 technologies enabling this architecture are studied in terms of the impact on the data centre. The course then progresses onto how Layer 3 technologies such as BGP, EVPN and VXLAN are used in data centre networks. The course then studies interconnecting data centres finishing with a section on automation and orchestration of both underlay and overlay networks. What will you learn Explain the spine and leaf architecture Recognise the impact of virtualisation, containers and orchestration on the network Describe how the following technologies are used in data centres: Multi port aggregation Overlay networks MBGP, VRFs, EVPN VXLAN COOP Data centre infrastructure course details Who will benefit: Staff involved with Data centres. Prerequisites: Network fundamentals for engineers Duration 2 days Data centre infrastructure course contents What is Ethernet? Data centres versus enterprise networks. Servers, Blades, Racks, Clusters, Storage, Virtual Machines, Hosts, guests, containers, orchestration. Virtual switches. Distributed switches. Live migrations (e.g. vMotion). IP addressing and VM traffic. Data centre network architecture Spine leaf design. North south traffic, East West traffic, Scaling: Ports, bandwidth. N+1 redundancy, ratio East West optimisation, oversubscription. 2 tier versus 3 tier Leaf/Spine. Pods. Underlay, Overlay L2 technologies STP vs link aggregation vs multi link aggregation. LACP, LLDP, CDP. Scalability. VLANs and VLAN pruning. L2 design recommendations. Disabling STP on edge ports. L3 technologies Underlay, Overlay, VXLAN, VTEP, VXLAN overlay forwarding, EVPN, IS-IS, COOP, MP BGP, VRFs, EBGP, IBGP, AS numbers, route reflectors. Anycast gateways. MTU considerations-for data and control planes. BUM traffic. Data centre interconnects Pods, fabrics, multi pods, multi fabric, multi site. VXLAN with BGP/EVPN Data center interconnect. Cloud integration, Inter Site Networks. Automation Automation and orchestration, Zero touch provisioning, Devops, Netops, telemetry automated configuration for underlay and overlay, SDN.

RADIUS training course description A fast paced hands-on introduction to RADIUS. Moves from installation and configuration through to packet analysis and accounting. Practical exercises are spread throughout the course to maintain student interest. What will you learn Configure PPP and PAP/CHAP. Install and configure RADIUS servers. Describe how RADIUS works. Setup RADIUS accounting. Analyse RADIUS packets. Troubleshoot RADIUS installations. RADIUS training course details Who will benefit: Network Administrators. Support personnel. Anyone who will be working with RADIUS. Prerequisites: Knowledge of the TCP/IP protocols would be advantageous. Duration 2 days RADIUS training course contents What is RADIUS? AAA services, Authentication, Authorisation, Accounting, local AAA services, remote AAA services, What is RADIUS? RADIUS as a protocol, RADIUS as an architecture, RADIUS as a standard. Installing RADIUS RADIUS platforms, RADIUS servers, client server communications, services, daemons. Hands on Installing RADIUS and testing with NTRadPing. Server configuration Configuring clients on the server, shared secrets, usernames and passwords. IP address pools. Hands on Configuring a server and testing with NTRadPing. Client configuration Example clients, client configuration steps, enabling RADIUS, pointing clients to the server, shared secrets, example Cisco authentication, example Cisco authorization. Hands on Configuring clients for RADIUS. How RADIUS works RADIUS architecture, RADIUS and authentication, PPP, PAP, CHAP, RADIUS SUCCESS, RADIUS FAILURE, the RADIUS protocol stack, the RADIUS protocol, the RADIUS header, RADIUS codes, RADIUS attributes, ACCESS-REQUEST example, ACCESS-ACCECPT example, CHAP example, proprietary attributes, using unassigned type codes, RADIUS attribute 26, Cisco specific attributes. Hands on Analysing RADIUS packets, configuring PPP CHAP to work with RADIUS. RADIUS accounting Simplified operation, Accounting codes, Accounting attributes, client and server configuration for accounting. Hands on Configuring RADIUS accounting. RADIUS architectures Traditional architecture, multiple RADIUS servers for resilience, Proxy RADIUS servers, Realms, RADIUS in VPNs, RADIUS with 802.1x. Hands on Using multiple RADIUS servers, Proxies. Troubleshooting RADIUS General problem solving, basic tools, RADIUS troubleshooting, Common configuration errors, log files, RADIUS design and performance. Hands on Fixing RADIUS problems.

About this Training Course More energy companies today are setting ambitious net-zero targets and are expected to pour billions into the voluntary carbon offset market by the end of this decade. To get to net zero emissions, companies will need to balance emissions with nature and technology-based offsets. Markets are the best tool for connecting carbon sources and sinks. Many countries will not have enough supply inside their borders and will need to co-operate with those who have extra greenhouse gas removal potential. The energy industry is in search of effective climate tools as pressure mounts from investors and consumers for more progress on fighting rising emissions. Corporations fighting to cut their carbon footprint have for years focused on internal reduction measures. Many are now adding to that effort by turning to carbon credits, a process made easier as verification and registration tools mature. One particular category of carbon offsets leads the way: high-quality, nature-based carbon credits. These represent the largest category of carbon credit projects in the voluntary carbon market, comprising nearly half of credits issued. Public concern about this practice focused on the additionality, leakage, and integrity of carbon offsets that are created through reforestation, land preservation, carbon capture and other projects. Lack of standardization and government regulation has also increased uncertainty for all participants in carbon markets, creating risks for developers of credit-generating projects and offset purchasers. Demand for higher-quality offsets will value projects that were subjected to due diligence and rely upon reputable third-party verification. Companies purchasing offsets generated by permanent and quantifiable projects will therefore be in the best position moving forward. In this highly interactive training course, your course instructor will guide you through the latest developments and best procurement practices to successfully operate in the voluntary carbon market. Training Objectives At the end of this course, the participants will be able to: Discover the current state of the carbon economy Gain insights into the voluntary carbon market Learn about the different type carbon credits available Examine how companies can reach net zero target by using carbon offsets Uncover best practices in carbon credit procurement strategy Learn the pricing dynamics carbon credits Examine how to identify and ensure high quality credits Obtain key learning from flawed carbon offset projects Target Audience This course is intended for: Energy transition team leaders Carbon credit procurement professionals ESG strategy team leaders Finance and accounting professionals Low carbon business analysts or economists Corporate business sustainability professionals Legal, compliance and regulatory professionals Carbon trading professionals Course Level Intermediate Trainer Your expert course leader is a skilled and accomplished professional with over 25 years of extensive C-level experience in the energy markets worldwide. He has a strong expertise in all the aspects of (energy) commodity markets, international sales, marketing of services, derivatives trading, staff training and risk management within dynamic and high-pressure environments. He received a Master's degree in Law from the University of Utrecht in 1987. He started his career at the NLKKAS, the Clearing House of the Commodity Futures Exchange in Amsterdam. After working for the NLKKAS for five years, he was appointed as Member of the Management Board of the Agricultural Futures Exchange (ATA) in Amsterdam at the age of 31. While working for the Clearing House and exchange, he became an expert in all the aspects of trading and risk management of commodities. In 1997, he founded his own specialist-consulting firm that provides strategic advice about (energy) commodity markets, trading and risk management. He has advised government agencies such as the European Commission, investment banks, major utilities and commodity trading companies and various energy exchanges and market places in Europe, CEE countries, North America and Asia. Some of the issues he has advised on are the development and implementation of a Risk Management Framework, investment strategies, trading and hedging strategies, initiation of Power Exchanges (APX) and other trading platforms, the set-up of (OTC) Clearing facilities, and feasibility and market studies like for the Oil, LNG and the Carbon Market. The latest additions are (Corporate) PPAs and Artificial Intelligence for energy firms. He has given numerous seminars, workshops and (in-house) training sessions about both the physical and financial trading and risk management of commodity and carbon products. The courses have been given to companies all over the world, in countries like Japan, Singapore, Thailand, United Kingdom, Germany, Poland, Slovenia, Czech Republic, Malaysia, China, India, Belgium and the Netherlands. He has published several articles in specialist magazines such as Commodities Now and Energy Risk and he is the co-author of a book called A Guide to Emissions Trading: Risk Management and Business Implications published by Risk Books in 2004. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

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

Duration 4 Days 24 CPD hours This course is intended for This course is for experienced cloud security engineers who have taken a previous certification in the security, compliance and identity portfolio. Specifically, students should have advanced experience and knowledge in a wide range of security engineering areas, including identity and access, platform protection, security operations, securing data, and securing applications. They should also have experience with hybrid and cloud implementations. Beginning students should instead take the course SC-900: Microsoft Security, Compliance, and Identity Fundamentals. This is an advanced, expert-level course. Although not required to attend, students are strongly encouraged to have taken and passed another associate level certification in the security, compliance and identity portfolio (such as AZ-500, SC-200 or SC-300) before attending this class. This course prepares students with the expertise to design and evaluate cybersecurity strategies in the following areas: Zero Trust, Governance Risk Compliance (GRC), security operations (SecOps), and data and applications. Students will also learn how to design and architect solutions using zero trust principles and specify security requirements for cloud infrastructure in different service models (SaaS, PaaS, IaaS). Prerequisites Highly recommended to have attended and passed one of the associate level certifications in the security, compliance and identity portfolio (such as AZ-500T00 Microsoft Azure Security Technologies, SC-200T00: Microsoft Security Operations Analyst, or SC-300T00: Microsoft Identity and Access Administrator.) Advanced experience and knowledge in identity and access, platform protection, security operations, securing data and securing applications. Experience with hybrid and cloud implementations. 1 - Introduction to Zero Trust and best practice frameworks Zero Trust initiatives Zero Trust technology pillars part 1 Zero Trust technology pillars part 2 2 - Design solutions that align with the Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF) Define a security strategy Cloud Adoption Framework secure methodology Design security with Azure Landing Zones The Well-Architected Framework security pillar 3 - Design solutions that align with the Microsoft Cybersecurity Reference Architecture (MCRA) and Microsoft cloud security benchmark (MCSB) Design solutions with best practices for capabilities and controls Design solutions with best practices for attack protection 4 - Design a resiliency strategy for common cyberthreats like ransomware Common cyberthreats and attack patterns Support business resiliency Ransomware protection Configurations for secure backup and restore Security updates 5 - Case study: Design solutions that align with security best practices and priorities Case study description Case study answers Conceptual walkthrough Technical walkthrough 6 - Design solutions for regulatory compliance Translate compliance requirements into a security solution Address compliance requirements with Microsoft Purview Address privacy requirements with Microsoft Priva Address security and compliance requirements with Azure policy Evaluate infrastructure compliance with Defender for Cloud 7 - Design solutions for identity and access management Design cloud, hybrid and multicloud access strategies (including Azure AD) Design a solution for external identities Design modern authentication and authorization strategies Align conditional access and Zero Trust Specify requirements to secure Active Directory Domain Services (AD DS) Design a solution to manage secrets, keys, and certificates 8 - Design solutions for securing privileged access The enterprise access model Design identity governance solutions Design a solution to secure tenant administration Design a solution for cloud infrastructure entitlement management (CIEM) Design a solution for privileged access workstations and bastion services 9 - Design solutions for security operations Design security operations capabilities in hybrid and multicloud environments Design centralized logging and auditing Design security information and event management (SIEM) solutions Design solutions for detection and response Design a solution for security orchestration, automation, and response (SOAR) Design security workflows Design threat detection coverage 10 - Case study: Design security operations, identity and compliance capabilities Case study description Case study answers Conceptual walkthrough Technical walkthrough 11 - Design solutions for securing Microsoft 365 Evaluate security posture for collaboration and productivity workloads Design a Microsoft 365 Defender solution Design configurations and operational practices for Microsoft 365 12 - Design solutions for securing applications Design and implement standards to secure application development Evaluate security posture of existing application portfolios Evaluate application threats with threat modeling Design security lifecycle strategy for applications Secure access for workload identities Design a solution for API management and security Design a solution for secure access to applications 13 - Design solutions for securing an organization's data Design a solution for data discovery and classification using Microsoft Purview Design a solution for data protection Design data security for Azure workloads Design security for Azure Storage Design a security solution with Microsoft Defender for SQL and Microsoft Defender for Storage 14 - Case study: Design security solutions for applications and data Case study description Case study answers Conceptual walkthrough Technical walkthrough 15 - Specify requirements for securing SaaS, PaaS, and IaaS services Specify security baselines for SaaS, PaaS, and IaaS services Specify security requirements for web workloads Specify security requirements for containers and container orchestration 16 - Design solutions for security posture management in hybrid and multicloud environments Evaluate security posture by using Microsoft Cloud Security Benchmark Design integrated posture management and workload protection Evaluate security posture by using Microsoft Defender for Cloud Posture evaluation with Microsoft Defender for Cloud secure score Design cloud workload protection with Microsoft Defender for Cloud Integrate hybrid and multicloud environments with Azure Arc Design a solution for external attack surface management 17 - Design solutions for securing server and client endpoints Specify server security requirements Specify requirements for mobile devices and clients Specify internet of things (IoT) and embedded device security requirements Secure operational technology (OT) and industrial control systems (ICS) with Microsoft Defender for IoT Specify security baselines for server and client endpoints Design a solution for secure remote access 18 - Design solutions for network security Design solutions for network segmentation Design solutions for traffic filtering with network security groups Design solutions for network posture management Design solutions for network monitoring 19 - Case study: Design security solutions for infrastructure Case study description Case study answers Conceptual walkthrough Technical walkthrough Additional course details: Nexus Humans SC-100T00 Microsoft Cybersecurity Architect 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 SC-100T00 Microsoft Cybersecurity Architect 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.

Essential EVPN training course description Ethernet VPN (E-VPN) and Provider Backbone Bridging E-VPN (PBB-EVPN) are emerging technologies providing Ethernet services over MPLS. This course studies the technologies in E-VPN/PBB-EVPN providing multi-homing, multi pathing, auto discovery, multicast, forwarding and fast convergence. What will you learn Differentiate between E-VPN and PBB-EVPN. Explain how E-VPN operates. Explain how PBB-EVPN operates. Explain how E-VPN provides: Multi homing Multi pathing Auto discovery. Essential EVPN training course details Who will benefit: Network engineers. Staff working for carriers. Prerequisites: Definitive Ethernet switching for engineers Concise MPLS for engineers Duration 2 days Essential EVPN training course contents Introduction to EVPN Network virtualization What Is network virtualization? types of virtual networks, network tunnelling, the consequences of tunnelling, packet load balancing, network interface card behaviour. maximum transmission unit, lack of visibility, VXLAN, protocols to implement the control plane, support for network virtualization technologies, merchant silicon Software, standards. The building blocks of Ethernet VPN A brief history of EVPN, architecture and protocols for traditional EVPN deployment, EVPN in the data center BGP constructs for Virtual networks, address family indicator/subsequent address family indicator, route distinguisher, route target, RD, RT, and BGP processing, route types, modifications to support EVPN over eBGP, keeping the NEXT HOP unmodified, retaining route targets, FRR support for EVPN, automatic propagation of NEXT HOP, RT/RD derivation, what Is not supported in FRR. Bridging with Ethernet VPN An overview of traditional bridging, overview of bridging with EVPN, what Ifs, why does NVE L3 get an advertisement for MACA? handling BUM packets, handling MAC moves, support for dual-attached hosts, the host-switch Interconnect, VXLAN model for dual-attached hosts, switch peering solutions, handling Link failures, duplicate multi-destination frames, ARP/ND suppression. Routing with Ethernet VPN The case for routing in EVPN, routing use cases in the data center, routing models, where is the routing performed? centralized routing, distributed routing, how routing works in EVPN, asymmetric routing, symmetric routing, VRFs in EVPN routing, summarized route announcements, BGP support for EVPN routing, comparing asymmetric and symmetric models, vendor support for EVPN routing. Configuring and administering Ethernet VPN The sample topology, configuration cases, configuring the MTU, the end first: complete FRR configurations, the Invariants: configuration for the spines, firewall, and servers, centralized routing, asymmetric distributed routing, symmetric routing, dissecting the configuration, configuring the underlay, configuring the overlay: FRR configuring the overlay: interfaces, examining an EVPN network, show running configuration, show BGP summary, show EVPN VNIs and VTEPs, identify which VTEP advertised a MAC address, comparing FRR and Cisco EVPN configurations, considerations for deploying EVPN in large networks.

LTE Airside training course description This course provides a concise insight into the LTE airside. Key parts of the course are detailed looks at the air interface protocol stack, cell acquisition, transmission and reception of data and of he layer 1 procedures along with layer 2 procedures. What will you learn Explain the RF optimisation flowchart. Describe the importance of Reference Signal Received Power (RSRP). List many of the 3GPP recommended KPIs. Describe the concept of APN AMBR and UE AMBR within LTE. Describe the use of planning and optimisation computer tools. LTE Airside training course details Who will benefit: Anyone working with LTE. Prerequisites: Essential LTE Duration 2 days LTE Airside training course contents Introduction and review of LTE This section describes the requirements of LTE and key technical features, and reviews the system architecture. LTE Architecture, UE, E-UTRAN and EPC. Specifications. OFDMA, SC-FDMA and MIMO antennas This section describes the techniques used in the LTE air interface, notably orthogonal frequency division multiple access (OFDMA) and multiple input multiple output (MIMO) antennas. Communication techniques for fading multipath channels. OFDMA, FFT processing and cyclic prefix insertion. SC-FDMA in the LTE uplink. Multiple antenna techniques including transmit & receive diversity and spatial multiplexing. Introduction to the air interface This section covers the operation of the air interface, the channels that it uses, and the mapping to the time and frequency domains of OFDMA and SC-FDMA. Air interface protocol stack. Logical, transport and physical channels. Frame and slot structure, the resource grid. Resource element mapping of the physical channels and physical signals. LTE spectrum allocation. Cell acquisition This is the first of three sections covering the air interface physical layer. Here, we cover mobile procedures to start low-level communications with the cell, and base station transmission of the corresponding information. Primary/secondary synchronisation signals. Downlink reference signals. The master information block. Physical control format indicator channel. Organisation and transmission of the system information. Data transmission and reception In this section, we cover procedures used for data transmission and reception on the shared channels, and describe in detail the individual steps. Data transmission and reception on the uplink and downlink. Scheduling commands and grants on the PDCCH. DL-SCH and UL-SCH. Physical channel processing of the PDSCH and PUSCH. Hybrid ARQ indicators on the PHICH. Uplink control information on the PUCCH. Uplink demodulation and sounding reference signals. Additional physical layer procedure This section concludes our discussion of the air interface physical layer, by discussing a number of procedures that support its operation. Transmission of the physical random access channel. Contention and non-contention based random access procedures. Discontinuous transmission in idle and connected modes. Uplink power control and timing advance. Air interface layer 2 This section describes the architecture and operation of layer 2 of the air interface protocol stack. MAC protocol, interactions with the physical layer, use for scheduling. RLC protocol, transparent, unacknowledged and acknowledged modes. PDCP, including header compression, security functions and recovery from handover.

CPD Accredited, Interactive Short Course - 1.5 hr session - Learn from the comfort of your own home or workplace - Learn how to deal with wounds, burns, sprains & strains, and other injuries Course Contents: What is classed as Display Screen Equipment (DSE) Who is a DSE user Illnesses and Injuries caused by the incorrect use of DSE How to set up your workstation so as to avoid injuries and musculoskeletal disorders DSE Assessment Checklist Work routine and the importance of taking breaks Eyes and eyesight testing Identifying training needs Working from home and home working assessments Benefits of this Short Course: In 2018/2019, nearly half a million people suffered from work-related musculoskeletal disorders, most of them having suffered from this for a while Though 138,000 of them only started having problems this year These conditions can significantly affect a person's life, and limit their mobility and dexterity This leads to being forced to retire early from work, earn less and have less of a social life I enjoyed the minor injuries webinar as it refreshed my memory in these areas and gave me the confidence to deal with any of these now. The training was delivered with practical demonstrations and I enjoyed the chance to use my brain during the lockdown.DEBBIE GROSCH-SQUANCE

About this training course This 3-days training will provide a comprehensive review of integrity of wells exposed to carbon dioxide (CO2) in the context of Carbon Capture Utilization for enhanced oil recovery and Storage (CCUS). CO2 geological storage is a proven technology to reduce greenhouse gas emissions from sources such as coal power plants, cement kilns and steel mills. Wells are widely considered the most critical containment element, especially older wells that are not used to inject CO2 or monitor the plume evolution in the storage reservoir. The main reason for this perceived risk is the high corrosion rate of carbon steel when exposed to wet CO2, and the tendency of Portland cement to react with the gas. The training course advanced contents build on 15 years' experience in carbon storage, both in the development and deployment of technologies. First-hand, in-depth knowledge of the subject will allow us to debunk myths and focus on the real challenges of wells encountering CO2. Training Objectives After the completion of this training course, participants will be able to: Explain the CCUS market drivers Examine the behavior of CO2, on surface and in the reservoir Diagnose cement defects and design repairs Understand the limits of Portland cement Assess the benefits of different technologies and materials Realize why geology is a dominant factor in cement performance Critically choose the most appropriate monitoring techniques Classify aging processes of cement, steel, and rock when exposed to CO2 Assess the risk of existing wells if they encounter the CO2 plume Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit: All surface technical personnel such as process engineers & technologists Facility engineers, production engineers & technologists Drilling engineers and Well engineers Design engineers and Integrity engineers P&A engineers and Cementing engineers Geologists Senior management executives will benefit from this training as covers an overview of the technical and commercial details of CO2 capture technologies and risks involved. Course Level Intermediate Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 3 days in total (21 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Trainer Your expert course leader is an engineer with a passion for well integrity and possesses 28 years of international experience in field operations, technology development and management in the oil & gas and carbon storage sectors. Since 2018 he is program chair of the Well Integrity Technical Section of the Society of Petroleum Engineers (SPE). He is also author or co-author of 31 technical papers, a book chapter on CO2 geological storage and 7 patent applications. He delivers training on well integrity, plug and abandonment, asset integrity, risk management and QHSE across the Eastern Hemisphere, and carries out active research on harnessing geological barriers, modeling leaks through cement, and quantifying methane emissions from oil & gas wells. He has extensive expertise in: Well integrity, cementing, corrosion, upstream oil & gas (drilling, completion), carbon capture and storage, mathematical modeling, risk management, reliability, HSSE (health/safety/security/environment), asset integrity, management systems, sustainable development, project management, portfolio management, training, and technology development and innovation. He has personally worked on CCS projects in Europe (France, Germany, Netherlands, Norway), Algeria, Japan and USA. Partial list of companies that have benefited from the trainer's expertise: Vermilion Energy Geostock Aker BP Shell Statoil ENI TNO Geogreen Wintershall Archer INA and many more Recent CCS consulting track record: Schlumberger Total Oxand TNO THREE60 Energy and others POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable