5662 Computing & IT courses in Cowdenbeath delivered Online

Follow your dreams by enrolling on the Microsoft Excel Masterclass course today and develop the experience, skills and knowledge you need to enhance your professional development. Microsoft Excel Masterclass will help you arm yourself with the qualities you need to work towards your dream job. Study the Microsoft Excel Masterclass training course online with Janets through our online learning platform and take the first steps towards a successful long-term career. The Microsoft Excel Masterclass course will allow you to enhance your CV, impress potential employers, and stand out from the crowd.  This Microsoft Excel Masterclass course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Study the Microsoft Excel Masterclass course through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the Microsoft Excel Masterclass course, to ensure you are supported every step of the way. Get a digital certificate as proof of your Microsoft Excel Masterclass course completion. Janets is one of the top online training course providers in the UK, and we want to make education accessible to everyone! Learn the essential skills you need to succeed and build a better future for yourself with the Microsoft Excel Masterclass course. The Microsoft Excel Masterclass course is designed by industry experts and is tailored to help you learn new skills with ease.  The Microsoft Excel Masterclass is incredibly great value and allows you to study at your own pace. With full course access for one year, you can complete the Microsoft Excel Masterclass when it suits you. Access the Microsoft Excel Masterclass course modules from any internet-enabled device, including computers, tablets, and smartphones. The Microsoft Excel Masterclass course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the Microsoft Excel Masterclass now and start learning instantly! What You Get Out Of Studying Microsoft Excel Masterclass With Janets: Receive a digital Certificate upon successful completion of the Microsoft Excel Masterclass course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Description The Microsoft Excel Masterclass training course is delivered through Janets' online learning platform. Access the Microsoft Excel Masterclass content from any internet-enabled device whenever or wherever you want to. The Microsoft Excel Masterclass course has no formal teaching deadlines, meaning you are free to complete the course at your own pace. Method of Assessment  To successfully complete the Microsoft Excel Masterclass course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the Microsoft Excel Masterclass course. After successfully passing the Microsoft Excel Masterclass course exam, you will be able to apply for a CPD-accredited certificate as proof of your Microsoft Excel Masterclass qualification. Certification All students who successfully complete the Microsoft Excel Masterclass course can instantly download their digital certificate. You can also purchase a hard copy of the Microsoft Excel Masterclass course certificate, which will be delivered by post for £9.99. Who Is This Course For: The Microsoft Excel Masterclass is ideal for those who already work in this sector or are an aspiring professional. This Microsoft Excel Masterclass course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The Microsoft Excel Masterclass is open to all students and has no formal entry requirements. To study the Microsoft Excel Masterclass course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Career Path: The Microsoft Excel Masterclass is ideal for anyone who wants to pursue their dream career in a relevant industry. Learn the skills you need to boost your CV and go after the job you want. Complete the Microsoft Excel Masterclass and gain an industry-recognised qualification that will help you excel in finding your ideal job.

🚀 Unlock the Secrets of Flawless Software with Our Software Testing Course! Are you ready to embark on a journey that will revolutionize the way you approach software development? Look no further! Our cutting-edge Software Testing course is designed to equip you with the essential skills and knowledge needed to become a master in the art of testing software applications. 🎯   🔍 Why Software Testing Matters In today's fast-paced digital world, software plays a crucial role in every aspect of our lives. From mobile apps to web applications, the demand for seamless, bug-free software is higher than ever before. However, achieving perfection in software development is no easy feat. This is where software testing comes into play. Software testing is the process of evaluating a software application to uncover bugs, errors, or any other potential issues before it is released to the market. By meticulously testing software, developers can ensure that it meets the highest standards of quality, functionality, and reliability. 💡 Our Software Testing course dives deep into the various testing techniques, methodologies, and best practices that are essential for ensuring the success of any software project. Whether you're a seasoned developer looking to enhance your skill set or a newcomer to the world of software development, this course is your gateway to success. 🌟   🛠️ What You'll Learn Throughout this comprehensive course, you'll gain hands-on experience with a wide range of software testing concepts and tools. From manual testing to automated testing, you'll explore the different approaches used to identify and eliminate bugs in software applications. Additionally, you'll learn about test planning, execution, and reporting techniques that are crucial for effective software testing. By the end of the course, you'll be equipped with the knowledge and skills needed to: Understand the fundamentals of software testing Identify different types of software defects Create and execute test cases Utilize various testing tools and frameworks Implement effective testing strategies Analyze test results and generate reports With our expert-led training and hands-on exercises, you'll be well-prepared to tackle any software testing challenge that comes your way. 🚀   👩‍💼 Who is this for? Our Software Testing course is perfect for: Software developers looking to enhance their testing skills Quality assurance professionals seeking to deepen their understanding of software testing IT professionals interested in transitioning into the field of software testing Students and beginners eager to kickstart their career in software development No matter your background or experience level, this course provides a solid foundation for mastering the art of software testing and advancing your career in the tech industry. 🌐   🚀 Career Path Upon completing our Software Testing course, you'll be well-positioned to pursue a variety of exciting career opportunities in the software development and quality assurance fields. Some potential career paths include: Software Tester Quality Assurance Engineer Test Automation Engineer Software Developer (with specialized testing skills) Test Manager Quality Assurance Manager   With the ever-increasing demand for skilled software testers in today's job market, completing this course will open up a world of possibilities for career advancement and professional growth. 🌟 Don't miss out on this incredible opportunity to take your software testing skills to the next level! Enroll in our Software Testing course today and unlock the secrets to building flawless software that delights users and exceeds expectations. 💻🔍   FAQ (Frequently Asked Questions) about Genealogy Q1: What is genealogy? Genealogy is the study of family history and descent. It involves tracing ancestry and lineage through historical records, oral traditions, genetic analysis, and other sources to create a comprehensive family tree. Genealogy allows individuals to understand their familial connections, cultural heritage, and ancestral roots. Q2: Why is genealogy important? Genealogy is important for several reasons. Firstly, it helps individuals develop a deeper understanding of their identity and belonging by uncovering their familial history. It allows people to connect with their ancestors, understand their struggles, achievements, and cultural traditions. Genealogy also helps in preserving family stories and traditions for future generations. Additionally, it can provide valuable insights into medical history and genetic predispositions, aiding in personalized healthcare decisions. Q3: How can I start researching my family history? Starting your genealogical research can be exciting yet daunting. Begin by gathering information from living relatives, such as names, dates, and places of birth, marriage, and death. Organize this information systematically and then proceed to explore online databases, historical records, and archives. Utilize genealogical software or websites to build and maintain your family tree. Joining genealogical societies or online forums can also provide guidance, resources, and support from experienced researchers. Q4: What challenges might I encounter in genealogical research? Genealogical research often comes with various challenges. Common obstacles include incomplete or inaccurate records, surname changes, language barriers, and geographical relocations. Additionally, the availability of historical records may vary depending on factors such as time period, location, and societal norms. Genetic genealogy can also present challenges such as privacy concerns and the interpretation of DNA test results. Overcoming these challenges requires patience, perseverance, critical thinking, and creativity in research strategies. Q5: How can I verify the accuracy of my genealogical findings? Verifying the accuracy of genealogical findings is essential to ensure the reliability of your family tree. Cross-referencing multiple sources, including primary documents, official records, oral histories, and genetic evidence, can help confirm information. It's important to critically evaluate the credibility and reliability of each source, considering factors such as the author's expertise, biases, and the context in which the information was recorded. Collaborating with other researchers and seeking professional assistance when needed can also contribute to the accuracy of your genealogical research. Course Curriculum Chapter 1 Why Explore Your Past Why Explore Your Past 00:00 Chapter 2 The Search For Answers The Search For Answers 00:00 Chapter 3 Modern Methods of Researching Your Past Modern Methods of Researching Your Past 00:00 Chapter 4 Where to Start Searching Where to Start Searching 00:00 Chapter 5 Search of Records Search of Records 00:00 Chapter 6 Conclusion Conclusion 00:00

DevOps: The Next Evolution of Lean and Agile What is DevOps? Is it a new role? Self-service? More communication/empathy between Dev and Ops? Continuous integration/continuous deployment tools? Practices like traffic shaping and feature toggles? Culture change? Most of those answers are not wrong, but they fail to capture the heart of it. At its heart, DevOps is simply empowered development teams taking responsibility for how their product performs in production. If so, then this is not a new story. It's a continuation of the lean/agile trend which was the beginning of the end for quality assurance and business analysis as separate silos. This talk applies the lessons learned from leading lean/agile transformations to the current ongoing change toward DevOps. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

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