5659 Computing & IT courses in Cowdenbeath delivered Online

If data is the new oil, then coding is your refinery. Whether you're exploring the depths of machine learning or navigating databases with ease, this course sharpens your edge in the competitive world of data science. With a sharp focus on three industry-leading languages—Python, JavaScript, and Microsoft SQL—you’ll build the solid foundations needed to analyse, automate, and query data confidently. From writing clean scripts to crafting smart SQL queries, you’ll develop the mindset to speak fluently in the language of data. Delivered entirely online, the course keeps your learning agile and accessible. Python lays the groundwork for analysis and automation, JavaScript helps in data visualisation and interaction, and SQL ensures you can command databases without blinking. It's not about ticking boxes—it’s about building fluency in what matters. Whether you're upskilling or aiming for a sharper digital edge, this course speaks directly to future-focused learners ready to code with purpose. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: JavaScript Section 01: Introduction Section 02: Basics Section 03: Operators Section 04: Conditional Statements Section 05: Control Flow Statements Section 06: Functions Section 07: Error Handling Section 08: Client-Side Validations Python Section 09: Introduction Section 10: Basic Section 11: Strings Section 12: Operators Section 13: Data Structures Section 14: Conditional Statements Section 15: control flow statements Section 16: core games Section 17: functions Section 18: args, KW args for Data Science Section 19: project Section 20: Object oriented programming [OOPs] Section 21: Methods Section 22: Class and Objects Section 23: Inheritance and Polymorphism Section 24: Encapsulation and Abstraction Section 25: OOPs Games Section 26: Modules and Packages Section 27: Error Handling Microsoft SQL Section 28: Introduction Section 29: Statements Section 30: Filtering Data Section 31: Functions Section 32: Joins Section 33: Advanced commands Section 34: Structure and Keys Section 35: Queries Section 36: Structure queries Section 37: Constraints Section 38: Backup and Restore Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn Python, JavaScript, and Microsoft SQL for Data science course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn Python, JavaScript, and Microsoft SQL for Data science course is open to all, with no formal entry requirements. Career path Upon successful completion of the Learn Python, JavaScript, and Microsoft SQL for Data science Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Data doesn’t speak for itself — it needs someone who can ask the right questions and write the right code. This course offers a focused introduction to three of the most widely used tools in data science: Python, JavaScript, and Microsoft SQL. You’ll explore how each language plays its part in working with data, from handling large datasets to performing analysis and visualisation. All delivered online, with no whiteboards, lab coats or cold meeting rooms involved. Whether you're curious about coding or keen to brush up on logic and structure, the course walks you through the essentials with clarity and purpose. You’ll look into the building blocks of each language, how they interact with data, and how they can be used to create meaningful insights. Designed for learners who prefer clear content over convoluted lectures, it's a straight-talking guide to getting started in data science — without trying to be clever for the sake of it. Course Curriculum: JavaScript Section 01: Introduction Section 02: Basics Section 03: Operators Section 04: Conditional Statements Section 05: Control Flow Statements Section 06: Functions Section 07: Error Handling Section 08: Client-Side Validations Python Section 09: Introduction Section 10: Basic Section 11: Strings Section 12: Operators Section 13: Data Structures Section 14: Conditional Statements Section 15: control flow statements Section 16: core games Section 17: functions Section 18: args, KW args for Data Science Section 19: project Section 20: Object oriented programming [OOPs] Section 21: Methods Section 22: Class and Objects Section 23: Inheritance and Polymorphism Section 24: Encapsulation and Abstraction Section 25: OOPs Games Section 26: Modules and Packages Section 27: Error Handling Microsoft SQL Section 28: Introduction Section 29: Statements Section 30: Filtering Data Section 31: Functions Section 32: Joins Section 33: Advanced commands Section 34: Structure and Keys Section 35: Queries Section 36: Structure queries Section 37: Constraints Section 38: Backup and Restore Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn Python, JavaScript, and Microsoft SQL for Data science course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn Python, JavaScript, and Microsoft SQL for Data science course is open to all, with no formal entry requirements. Career path Upon successful completion of the Learn Python, JavaScript, and Microsoft SQL for Data science Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 5 Days 30 CPD hours This course is intended for Network Video Operator and Administrator Voice / UC / Collaboration / Communications Engineer Collaboration Tools Engineer Collaboration Sales / Systems Engineer Overview Upon completing this course, the learner will be able to meet these overall objectives: Install, configure, maintain, and troubleshoot Cisco visual collaboration solutions. This course assists the student in preparing for the Cisco TelePresence Video Specialist Certification. Upon completing this course, the learner will be able to meet these overall objectives Module 1: Advanced Cisco Expressway Features Introducing Cisco video network solutions Exploring Cisco Expressway basic setup Explaining regular expressions in a Cisco Expressway environment Deploying components of Cisco Expressway Security Exploring the fundamentals of subzonesÿ Administering call control Implementing subzone bandwidth management Implementing zones Exploring clustering Applying troubleshooting Module 2: Advanced Cisco Meeting Server Features Introducing the Cisco meeting server Exploring API configuration Exploring resilient and scalable deployments Additional features Module 3: Cisco Collaboration Meeting Room Solutions with Cisco TelePresence Server Introducing Collaboration Meeting Room cloud, premises, and hybrid products Deploying the TelePresence Server and TelePresence conductor Applying troubleshooting to Cisco CMR Premises Solutions Module 4: Cisco TelePresence Management Suite (TMS) Solution Explaining Cisco TMS Installation Describing TMS operation Explaining TMS conference scheduling and management Configuring permissions Applying troubleshooting Module 5: Cisco Cloud Solutions - WebEx and Spark Introducing WebEx and Spark cloud solutions Exploring Spark administration configuration Deploying Spark hybrid services Exploring Spark APIs and BOTs configuration Module 6: Cisco TelePresence Content Server (Optional Module) Examining Cisco TCS operation and configuration

Duration 5 Days 30 CPD hours This course is intended for Cisco Unified Communications system channel partners and resellers. • System and technical support engineers. • Customers who are deploying and maintaining Cisco Unified CCE solution products. Overview Upon completing this course, the learner will be able to meet these overall objectives: • Understand CCE solutions, architecture, solution options, deployment models, integrated features and call flow options. • Apply advanced scripting principles using the expression editor and custom functions and implement silent monitoring and recording. • Understand Cisco Finesse administration and how to set up reason/wrap-up codes, desktop layout, custom variables, and workflow applications and implement Finesse IP Phone Agent. • Understand and implement VoiceXML applications and configure access to an external database via the VXML Server. • Understand the concepts behind translation routing to include when, why, and how to implement translation routing in a Cisco Unified CCE or traditional ICM environment. • Implement Cisco Unified CCE Options including Cisco Outbound dialing, Courtesy Callback, Agent Greeting/Whisper announcements, and Mobile Agent. • Understand advanced CUIC reporting concepts including administration, importing reports, and custom reporting. Helps prepare learners to implement more advanced functions and options in the Cisco Unified CCE environment. Cisco Unified Contact Center Enterprise Overview Lesson 1: Presenting Cisco Unified Contact Center Enterprise Lesson 2: Cisco Unified CCE Core Components Lesson 3: Cisco Unified CCE Options Lesson 4: Basic Call Flow Models Implementing Business Rules Lesson 1: Advanced Scripting and Routing Lesson 2: ICM Scripting Variables, Expressions, Formulas and Functions Lesson 3: Silent Monitoring and Recording Lesson 4: Advanced CVP Configurations Using Finesse Administration Lesson 1: Finesse Overview Lesson 2: Finesse Administration Lesson 3: Finesse IP Phone Agent Using CVP VoiceXML Applications Lesson 1: Basic VoiceXML Functionality Lesson 2: Using Call Studio Lesson 3: ICM Scripting for VoiceXML Applications Translation Routing Lesson 1: Traditional Translation Routing Lesson 2: Translation Routing to CVP Configuring Cisco Unified CCE Options Lesson 1: Cisco Outbound Option Lesson 2: Courtesy Callback Lesson 3: Agent Greeting/Whisper Announcements Lesson 4: Mobile Agent CUIC Reporting for the Advanced User Lesson 1: CUIC Overview Lesson 2: CUIC Administration Lesson 3: Importing and Using CVP Reports Lesson 4: Custom Reporting

Duration 4 Days 24 CPD hours This course is intended for This course is designed primarily for network and software engineers who are interested in learning about automation and programmability and hold the following job roles: Network administrators Solutions designers System installers System integrators System administrators Overview After completing this course, you should be able to: Explain the transactional service activation and how it relates to business requirements Explain how Cisco NSO communicates with network devices Understand the NETCONF protocol and be able to read and write simple YANG models Understand the difference between devices that are fully NETCONF capable and those that are less or not NETCONF capable Understand the support for candidate configuration and confirmed commit support Use logs to troubleshoot the Cisco NSO deployment and check NSO communication with network devices Explain the YANG service model structure Design a real-world usable service Explain the mapping logic of service parameters to device models and consequently to device configurations Describe the use of different integration options and APIs Explain how to implement action with use of config-templates in NSO package Explain the use of Reactive FASTMAP in for manipulating and implementing advanced NFV components Describe the use of feature components and function packs Define and explain the ETSI MANO principles and solution Work with the alarm console, and understand the NSO alarm structure and how it conforms to modern network operations procedures Describe Cisco NSO 5.3 new features and changes in NSO The NSO Essentials for Programmers and Network Architects (NSO201) v4.1 course introduces you to Cisco Network Services Orchestrator (NSO). You will learn to install Cisco NSO and use it to manage devices and create services based on YANG templates with XPath. This course provides an overview of NSO as a network automation solution as well as introducing you to NETCONF, YANG, and XPath. You will learn about managing devices and creating device templates, service management and service package creation, network element drivers, interfacing with other systems using APIs, configuring and troubleshooting system settings, managing alarms and reporting, configuring NSO for scalability and performance, and capabilities that can be added to Cisco NSO. Course Outline Introducing Service Orchestration with Cisco NSO Exploring Cisco NSO Architecture Orchestrating Network Solutions Describing Cisco NSO Operation Installing Cisco NSO Exploring the Advantages of NETCONF Managing Devices Using the Device Manager Creating YANG Models Using Services Implementing Services with Model-to-Model Mapping Designing Services in Cisco NSO Managing the Service Lifecycle Programming with Python in Cisco NSO Configuring and Troubleshooting System Settings Discovering Cisco NSO Northbound APIs Managing Alarms and Reporting Configuring Cisco NSO for Scalability and Performance Describing Cisco NSO VNF Manager and Function Packs

Duration 2 Days 12 CPD hours This course is intended for This course is intended for System and network engineers, technical architects and technical support personnel Overview Upon successful completion of this course, students will be able to install and operate a Cisco DNA Center (DNAC) This course will cover the basics of installing and operation of the Cisco DNA Center (DNAC). The Cisco DNAC is a stand-alone product that provides a single dashboard for every fundamental management task to simplify running an enterprise network. The DNAC is the management piece of the Software Defined Access (SDA) solution. Intent-based Networking overview DNA Center overview. DNA Center as a Platform. DNA Center Architecture & Design. DNA Center Installation DNA Center/Identity Services Engine (ISE) Integration ISE Integration configuration in DNA Center. DNA - Global - Add servers (e.g. ISE server(s)). DNA Center integration configuration in ISE. Approve pxGrid in ISE.Verify DNA/ISE integration DNA Center - Device Inventory Add networks devices to the DNA Center device inventory. Verify DNA Center Inventory configuration. DNA Center - Design - Network Hierarchy. Verify DNA Center - design configuration DNA Center - Design - Software Image Management (SWIM) Review SWIM image repository listing. Create golden software image & role. Verify golden software image creation DNA Center - Design ? Templates and Policies Templates ? Apache Velocity Engine. Command Runner. Policies: Group-Based, Application,Traffic Copy, IP-Based DNA Center - Provision Configuration Add devices to newly created sites/locations. Plug and Play (PnP). Verify DNA Center - provision configuration. DNA Center - Assurance Collection. DNA Center ? Administration

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows: System engineers Technical support personnel Channel partners and resellers Overview Upon completion of this course, the learner should be able to meet the following objectives: Installing a Cisco Meeting Server in a single combined deployment Installing a Cisco Meeting Server in a single split deployment Troubleshooting tools Integrating Cisco Meeting Server with Cisco TelePresence Video Communication Server (VCS), Cisco Unified Communications Manager and Microsoft Skype for Business In this course, you will learn how to install, troubleshoot, and maintain a single server and single server split deployment of Cisco Meeting Servers This course is designed to establish a minimum level of knowledge and competency among Cisco Meeting Server resale and installation partners. The recently purchased Acano collaboration hardware and software includes video and audio-bridging technology that allows customers to connect video systems from multiple vendors across both cloud and hybrid environments. Cisco has incorporated Acano collaboration technologies into the new Meeting Server tool. Module 1: Cisco Meeting Server Single Server Solution Cisco Meeting Server Solution Reviewing Authentication and Encryption Single Server Solution Preparing for Cisco Meeting Server Installation Installing Cisco Meeting Servers Configuring the Web Admin Configuring the Call Bridge Configuring the Web Bridge Module 2: Troubleshooting Tools Seven call detail record (CDR) record types and the information contained in each Capture server configuration files (.json), crash log files, media and application .dmp files. Cisco Meeting App crash files, and Cisco Meeting App diagnostic logs Employ the built-in commands to identify Cisco Meeting Server solution issues including PKI, DNS Lookup, Ping, and Service Status Common issues for end users using the Cisco Meeting Server solution Module 3: Firewall Traversal and Unified Communications Application Integration Deploying a TURN Server Deploying Firewall and NAT Traversal Integrating with UC Platforms Additional course details: Nexus Humans Cisco Meeting Server Intermediate (COLLAB250) 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 Cisco Meeting Server Intermediate (COLLAB250) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for IT professionals interested in understanding the capabilities of the MDS 9000 Series using Cisco DCNM. IT professionals seeking a deeper knowledge of SAN operations using both CLI and DCNM may take the alternative 4-day course, Configuring Cisco MDS 9000 Series Switches (DCMDS). Much of the hands-on work in DCNMS is also covered in DCMDS. This course is also designed for professionals in the following roles including: Consulting systems engineer Data center engineers Data center operators Data center network management engineers Storage network administrator Network administrator Network engineer Sales engineer Technical solutions architect Overview After taking this course, you should be able to: Describe Cisco DCNM SAN components, licensing, high availability, and security features Describe Cisco DCNM SAN reports, alerts, event forwarding, and troubleshooting tools, including Cisco DCNM SAN Insights and SAN Analytics features The Managing SAN Infrastructure with Cisco© Data Center Network Manager (DCNMS) v1.0 course provides product training that that teaches you to deploy, operate, and maintain the Cisco Data Center Network Manager (DCNM) SAN solutions. You will learn to configure, monitor, and troubleshoot Cisco storage networking infrastructure using Cisco DCNM. Cisco DCNM provides management, automation, visualization, and troubleshooting across Cisco Nexus© and Cisco Multilayer Distributed Switching (MDS) solutions.You will learn how the DCNM serves as a Storage Area Network (SAN) solution for managing and troubleshooting Cisco storage architecture. Implementing Cisco DCNM SAN Cisco DCNM Solution Overview Implement Cisco DCNM SAN Integrate Cisco DCNM SAN with VMware vCenter Cisco DCNM SAN Licensing Monitoring and Troubleshooting SAN Infrastructure Using Cisco DCNM SAN Cisco DCNM SAN Alerts and Reports Dashboards in Cisco DCNM SAN SAN Troubleshooting with the Cisco DCNM SAN Analytics and Telemetry Streaming Additional course details: Nexus Humans Cisco Managing SAN Infrastructure with Cisco Data Center Network Manager v1.0 (DCNMS) 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 Cisco Managing SAN Infrastructure with Cisco Data Center Network Manager v1.0 (DCNMS) 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 Systems engineers Network engineers Field engineers Technical support personnel Channel partners and resellers Overview After taking this course, you should be able to: Describe the key concepts of segment routing Implement and verify IGP segment routing Migrate an existing Multiprotocol Label Switching (MPLS) LDP-based network to segment routing Implement and verify TI-LFA segment routing Instantiate segment routing policies Instantiate multidomain segment routing policies Configure and verify BGP prefix segments and SR-based services The Implementing Segment Routing on Cisco IOS XR (SEGRTE201) v2.0 course covers the fundamental concepts of segment routing (SR), how to configure and verify segment routing within an Interior Gateway Protocol (IGP), and the interworking of Label Distribution Protocol (LDP) with segment routing. You will learn how to implement topology-independent loop-free alternate (TI-LFA) using segment routing, and how to instantiate and verify segment routing traffic engineering policies. You will also learn how to implement segment routing within Border Gateway Protocol (BGP). Course Outline Introduction to Segment Routing IGP Segment Routing Implementation and Verification Segment Routing and LDP Interworking Topology Independent ? Loop Free Alternate Segment Routing Policies ? Traffic Engineering (SR-TE) Multidomain SR Policies BGP Prefix Segment and Egress Peer Engineering Additional course details: Nexus Humans Cisco Implementing Segment Routing on Cisco IOS XR v2.0 (SEGRTE201) 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 Cisco Implementing Segment Routing on Cisco IOS XR v2.0 (SEGRTE201) 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.