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Hi-Tech Training Closed Circuit Television (CCTV) Installation Course is designed to give participants a practical knowledge of the operation and installation of CCTV systems at a foundation level.

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.

C++ training course description A hands on introduction to programming in the C++ language. The course concentrates on aspects that will be new to experienced C programmers and so is not suitable for those without C knowledge. What will you learn Write C++ programs Debug C++ programs. Examine existing code and determine its function. Use classes, function overloading, operator overloading, inheritance and virtual functions within C++ programs. C++ training course details Who will benefit: Programmers needing to write C++ code. Programmers needing to maintain C++ code. Prerequisites: C programming foundation. Duration 5 days C++ training course contents The origins of C++ C++ as a better C, C++ and Object Oriented Programming, encapsulation, polymorphism, inheritance. C++ standards. Getting started Simple C++ programs. Classes Basics, constructor and destructor functions, member and friend functions. Using objects. Default, copy and conversion constructors. A better C Arrays, pointers and references, new and delete. Improved safety with smart pointers, Resource Acquisition in Initialization (RAII). Functions in C++ Function overloading, default arguments, inline functions, Lambda functions. Templates Template classes and functions. Standard Library Containers, Iterators, algorithms, function objects. Operator overloading Basics, binary operators, the this pointer, relational operators, unary operators. Members versus friends. Inheritance Base class access control, protected members, multiple inheritance, virtual base classes. More I/O Manipulators, customising inserters, extractors. File I/O. Virtual functions Pointers to derived classes, run time polymorphism. Exception handling Throwing errors, trying code and catching errors.

Advanced Junos Security training course description This course provides students with intermediate routing knowledge and configuration examples. The course includes an overview of protocol-independent routing features, load balancing and filter-based forwarding, OSPF, BGP, IP tunneling, and high availability (HA) features. Junos Intermediate Routing (JIR) is an intermediate-level course. What will you learn Demonstrate the understanding of integrated user firewall. Implement next generation Layer 2 security features. Implement virtual routing instances in a security setting. Utilize Junos tools for troubleshooting Junos security implementations. Implement IPS policy. Advanced Junos Security training course details Who will benefit: Individuals responsible for implementing, monitoring, and troubleshooting Junos security components. Prerequisites: Intro to the Junos Operating System Duration 5 days Advanced Junos Security training course contents Junos Layer 2 Packet Handling and Security Features Transparent Mode Security Secure Wire Layer 2 Next Generation Ethernet Switching MACsec Lab 2 Implementing Layer 2 Security Virtualization Virtualization Overview Routing Instances Logical Systems Lab 3 Implementing Junos Virtual Routing AppSecure Theory AppSecure Overview AppID Overview AppID Techniques Application System Cache Custom Application Signatures AppSecure Implementation AppTrack AppFW AppQoS APBR SSL Proxy Lab 4 Implementing AppSecure Working with Log Director Log Director Overview Log Director Components Installing and setting up Log Director Clustering with the Log Concentrator VM Administrating Log Director Lab 5 Deploying Log Director Sky ATP Theory Sky ATP Overview Monitoring Sky ATP Analysis and Detection of Malware Sky ATP Implementation Configuring Sky ATP Installing Sky ATP Analysis and detection of Malware Infected Host Case Study Lab 6 Instructor Led Sky ATP Demo Implementing UTM UTM Overview AntiSpam AntiVirus Content and Web Filtering Lab 7 Implementing UTM Introduction to IPS IPS Overview Network Asset Protection Intrusion Attack Methods Intrusion Prevention Systems IPS Inspection Walkthrough IPS Policy and Configuration SRX IPS Requirements IPS Operation Modes Basic IPS Policy Review IPS Rulebase Operations Lab 8 Implementing Basic IPS Policy SDSN SDSN Overview, Components & Configuration Policy Enforcer Troubleshooting SDSN Use Cases Lab 9 Implementing SDSN Enforcement, Monitoring, and Reporting User Role Firewall and Integrated User Firewall Overview User Role Firewall Implementation Monitoring User Role Firewall Integrated User Firewall Implementation Monitoring Integrated User Firewall Lab 10 Configure User Role Firewall and Integrated User Firewall Troubleshooting Junos Security Troubleshooting Methodology Troubleshooting Tools Identifying IPsec Issues Lab 11 Performing Security Troubleshooting Techniques Appendix A: SRX Series Hardware and Interfaces Branch SRX Platform Overview High End SRX Platform Overview SRX Traffic Flow and Distribution SRX Interfaces

Getting Started – A Practical Introduction to Mindfulness. – delivered online via zoom A 10-week rolling program introducing mindfulness. There are 10 sessions with distinct content and it’s fine to join at any point. Getting Started operates on a drop-in basis, so if you miss a session you can cover the content next time it comes around. The sessions are interactive to support learning from each other's experiences. We, therefore, request that participants turn their cameras and microphone on for the sessions. Participants will be muted during meditations to reduce distractions. Getting Started is just that- an accessible introduction to mindfulness, providing a practical guide to building it into everyday life. Each session will cover a different aspect of Mindfulness and will include: Discussion about one of the foundational attitudes of mindfulness Each week focuses on a different foundation of building a mindfulness practice starting with Intention and then the nine foundational attitudes of mindfulness: Beginners Mind; Non-Judgement; Gratitude; Acceptance; Non-Striving; Letting Go; Generosity; Patience and Trust. The science which backs it up and how it applies to our lives. and Guided mindfulness practices These form the backbone of each session because practice promotes presence and Suggestions and tips for practicing in the context of our daily life and The opportunity to ask questions and An info sheet emailed to participants after each Getting Started session Session Topics: 1 | Intention – 20th October 2022 2 | Beginners Mind – 27th October 2022 3 | Non-judgement – 3rd November 2022 4 | Gratitude – 10th November 2022 5 | Acceptance – 17th November 2022 6 | Non-striving – 24th November 2022 7 | Letting Go – 1st December 2022 8 | Generosity – 8th December 2022 9 | Patience – 15th December 2022 10 | Trust – 22nd December 2022

NFV training course description Network Functions Virtualization (NFV) brings many benefits, this training course cuts through the hype and looks at the technology, architecture and products available for NFV. What will you learn Explain how NFV works. Describe the architecture of NFV. Explain the relationship between NFV and SDN. Recognise the impact NFV will have on existing networks. NFV training course details Who will benefit: Anyone wishing to know more about NFV. Prerequisites: Introduction to Virtualization. Duration 2 days NFV training course content Introduction What is NfV? What are network Functions? NfV benefits, NfV market drivers. ETSI NfV framework. Virtualization review Server, storage and network virtualization and NfV. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Virtualization of Network Functions Network virtualization versus Network Function virtualization. ETSI NfV architecture ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. IETF and NfV Creating services, Service Functions, Service Function Chaining. SPRING and source packet routing. YANG and NetConf. RESTCONF. VLANs, VPNs, VXLAN. MANO Management and Orchestration. OpenStack, OpenDaylight PaaS and NfV. The VNF domain. Service graphs, MANO descriptors, Open orchestration. The virtualization layer VM centric model, containers versus hypervisors, FD.io. Summary Deploying NfV, performance, testing. Futures.

SAFe® Agile Software Engineering: In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality

UMTS training course description An in-depth study of the UMTS technologies and network structure. What will you learn Explain what 3G and UMTS are. Describe the migration path to UMTS. Describe the UMTS architecture. UMTS training course details Who will benefit: Anyone who needs to know more about UMTS. Prerequisites: Total GSM Duration 3 days UMTS training course contents Introduction 3G WCDMA 2G WCDMA comparison. European and international spectrum allocations. UMTS Services UMTS QoS classes, Conversational, Streaming, Interactive and Background. UMTS bearer services. Radio Access Network (RAN) Architecture System architecture. The Radio Network Controller (RNC) and Node B functionality. Protocol model. The Iu interface for Circuit and Packet switching. The Iur interface and RNSAP. RNC node B interface and NBAP. The Physical layer Spread spectrum coding and modulation. Logical and physical channels. User data rates and transmission. Power control. Signalling, synchronisation, common control, access and indicator channels. Procedures for transmit diversity, measurement, power control and handover. Radio Resource Management Fast and outer loop power control. Transmit power and power rise. Handover algorithms. Intra frequency and inter system handovers. Load, measurement on the air interface. Admission and load control. Packet Access Packet data traffic. Packet data transport channels. Packet scheduling algorithms. Handover, load and administration control. Packet data performance. UTRA TDD Mode Time Division Duplex (TDD). UTRA TDD modulation and spreading, transport channels, physical channels and their structure. Noise and interference limited network. Interference, FDD and TDD co-existence.

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.

SAFe® Agile Software Engineering: Virtual In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality