18760 Courses

Duration 4 Days 24 CPD hours This course is intended for Application developers who want to increase their understanding of Spring and Spring Boot with hands-on experience and a focus on fundamentals Overview By the end of the course, you should be able to meet the following objectives: Spring configuration using Java Configuration and Annotations Aspect oriented programming with Spring Testing Spring applications using JUnit 5 Spring Data Access - JDBC, JPA and Spring Data Spring Transaction Management Simplifying application development with Spring Boot Spring Boot auto-configuration, starters and properties Build a simple REST application using Spring Boot, embedded Web Server and fat JARs or classic WARs Implementing REST client applications using RestTemplate and WebClient Spring Security Enable and extend metrics and monitoring capabilities using Spring Boot actuator Utilize Spring Boot enhancements to testing This course offers hands-on experience with the major features of Spring and Spring Boot, which includes configuration, data access, REST, AOP, auto-configuration, actuator, security, and Spring testing framework to build enterprise and microservices applications. On completion, participants will have a foundation for creating enterprise and cloud-ready applications. Introduction to Spring Java configuration and the Spring application context @Configuration and @Bean annotations @Import: working with multiple configuration files Defining bean scopes Launching a Spring Application and obtaining Beans Spring JAVA Configuration: A Deeper Look External properties & Property sources Environment abstraction Using bean profiles Spring Expression Language (SpEL) Annotation-based Dependency Injection Component scanning Autowiring using @Autowired Java configuration versus annotations, mixing. Lifecycle annotations: @PostConstruct and @PreDestroy Stereotypes and meta-annotations Factory Pattern in Spring Using Spring FactoryBeans Advanced Spring: How Does Spring Work Internally? The Spring Bean Lifecycle The BeanFactoryPostProcessor interception point The BeanPostProcessor interception point Spring Bean Proxies @Bean method return types Aspect-oriented programming What problems does AOP solve? Defining pointcut expressions Implementing various types of advice Testing a Spring-based Application Spring and Test-Driven Development Spring 5 integration testing with JUnit 5 Application context caching and the @Dirties Context annotation Profile selection with @Active Profiles Easy test data setup with @Sql Data Accss and JDBC with Spring How Spring integrates with existing data access technologies Data Access Exception hierarchy Spring?s Jdbc Template Database Transactions with Spring Transactions overview Transaction management with Spring Transaction propagation and rollback rules Transactions and integration testing Spring Boot Introduction Introduction to Spring Boot Features Value Proposition of Spring Boot Creating a simple Boot application using Spring Initializer website Spring Boot Dependencies, Auto-configuration, and Runtime Dependency management using Spring Boot starters How auto-configuration works Configuration properties Overriding auto-configuration Using Command Line Runner JPA with Spring and Spring Data Quick introduction to ORM with JPA Benefits of using Spring with JPA JPA configuration in Spring Configuring Spring JPA using Spring Boot Spring Data JPA dynamic repositories Spring MVC Architecture and Overview Introduction to Spring MVC and request processing Controller method signatures Using @Controller, @RestController and @GetMapping annotations Configuring Spring MVC with Spring Boot Spring Boot packaging options, JAR or WAR Rest with Spring MVC An introduction to the REST architectural style Controlling HTTP response codes with @ResponseStatus Implementing REST with Spring MVC, @RequestMapping, @RequestBody and @ResponseBody Spring MVC?s HttpMessageConverters and automatic content negotiation Spring Security What problems does Spring Security solve? Configuring authentication Implementing authorization by intercepting URLs Authorization at the Java method level Understanding the Spring Security filter chain Spring security testing Actuators, Metrics and Health Indicators Exposing Spring Boot Actuator endpoints Custom Metrics Health Indicators Creating custom Health Indicators External monitoring systems Spring Boot Testing Enhancements Spring Boot testing overview Integration testing using @SpringBootTest Web slice testing with MockMvc framework Slices to test different layers of the application Spring Security Oauth (Optional Topic) OAuth 2 Overview Implementing OAuth 2 using Spring Security OAuth Reactive Applications with Spring (Optional Topic) Overview of Reactive Programming concepts Reactive Programming support in Spring Using Spring?s reactive WebClient Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Spring: Core Training 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 VMware Spring: Core Training course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 5 Days 30 CPD hours Overview How to implement advanced administration concepts such as backups, disaster recovery, scalability and redundancy for a Citrix Virtual Apps and Desktop 7 Site. Advanced troubleshooting techniques to troubleshoot Citrix Virtual Apps and Desktop 7. Security considerations and configurations for Citrix Apps and Desktop 7 site including multi-site management using zones. Install and initialize WEM and integrate into Citrix Virtual Apps and Desktops and Citrix DaaS. Configure WEM features to improve the end user environment and virtual resource consumption. Migrate an on-premises WEM deployment to WEM service Designed for experienced IT professionals, this course builds on the foundational implementation and management skills introducing scalability, redundancy, and security configurations. You will learn to build to implement Workspace Environment Management to improve logon times, centralize user settings management, and optimize the performance of machines. In the advanced troubleshooting section, you will learn techniques to investigate many of the common issues that can affect environment health and how to solve issues more effectively. You will leave this course with a good understanding of how to manage more complex solutions such as multi-location environments with configurations around StoreFront, the Delivery Controllers, Cloud Connectors, and HDX. Module 1: Introduction to Citrix Virtual Apps and Desktops 7 Advanced Configuration Citrix Virtual Apps and Desktops Deployments - Advanced Configuration Module 2: Planning: Redundancy and Scalability Citrix Virtual Apps and Desktops Redundancy and Scalability StoreFront and Citrix Gateway Redundancy and Scalability Site Infrastructure Redundancy and Scalability Machines Running the Virtual Delivery Agent Module 3: Planning: Virtual Apps and Desktops Environment with Multiple Locations Zones VDA Registration in a Multi-Zone Environment Zone Preference Optimal Gateway Routing and Zones StoreFront Resource Aggregation Managing StoreFront Store Subscriptions in a Multi-Location Environment Module 4: Planning: Backups and Disaster Recovery Backups Disaster Recovery Considerations Disaster Recovery Process Module 5: Planning: Advanced Authentication Methods Multi-factor Authentication - RADIUS and One Time Passwords (OTP) Multi-factor Authentication ? Smart Card Authentication Federated Authentication Module 6: Planning: App and Data Security Introduction to Application Security Preventing Jailbreak Attacks Minimizing the Impact of Attacks Module 7: Planning: Virtual Delivery Agent Security Transport Layer Security (TLS) Virtual Delivery Agent (VDA) Encryption Microsoft Group Policy Objects (GPOs) and Citrix Policies Image Management Module 8: Introduction to Troubleshooting Troubleshooting Methodology Resource Tools and Utilities Introduction to PowerShell Module 9: Troubleshoot Access Issues Troubleshooting StoreFront Citrix ADC and Citrix Gateway ? Workflow and Troubleshooting Overview Citrix ADC and Citrix Gateway - Troubleshooting Access and Authentication Citrix ADC and Citrix Gateway - Troubleshooting App/Desktop Launch Module 10: Troubleshoot Delivery Controller Issues Validating FlexCast Management Architecture (FMA) Services Module 11: Troubleshoot Virtual Delivery Agent (VDA) Registration Issues Troubleshooting Virtual Delivery Agent (VDA) Registration Module 12: Troubleshoot HDX Connection Issues Troubleshooting HDX Connections Module 13: Introduction to Workspace Environment Management (WEM) WEM Features and Benefits Module 14: Planning ? WEM Architecture and Component Communications WEM On-Premises Components and Deployments WEM Service Components and Deployments WEM Component Communication Workflows Module 15: Planning - WEM On-Premises Deployment Installation On-Premises WEM: Leading Practice Installation Prerequisites and Steps On-Premises WEM: ADMX Template Configuration Choosing a Security Principal to run the WEM Infrastructure Service Creating the WEM Database Running the WEM Infrastructure Service Configuration Utility On-Premises WEM: Agent Installation Module 16: Planning ? WEM Service Deployment Installation WEM On-Premises vs WEM Service WEM Service: Leading Practice Installation Prerequisites and Steps WEM Service: ADMX Template Configuration WEM Service: Agent Installation Module 17: Planning ? WEM Consoles and Initial Setup On-Premises WEM and WEM Service Consoles WEM Initial Setup Migrating GPO settings to WEM Module 18: Planning ? WEM System and Log On Optimization WEM System Optimization Overview WEM CPU Management WEM Memory Management Additional System Optimization Features WEM Log On Optimization Overview WEM Assigned Actions WEM Environmental Settings Citrix Profile Management In WEM Module 19: Planning ? WEM Security and Lockdown Features WEM Security Management Features Privilege Elevation and Process Hierarchy Control WEM Transformer Module 20: Planning - The WEM Agent WEM Settings Processing and WEM Agent Caches WEM Agent Integration with Citrix Virtual Apps and Desktops and Citrix DaaS Module 21: Planning ? WEM Monitoring, Reporting, and Troubleshooting WEM Monitoring and Reporting WEM Agent Troubleshooting WEM Service Troubleshooting Module 22: Planning ? Upgrading WEM and Migration to WEM Service Upgrading Workspace Environment Management WEM On-Premises Migration to WEM Service Module 23: Rolling Out a WEM Deployment WEM Agent User Options on Windows Desktops Module 24: Managing a WEM Deployment Measuring WEM Success Additional course details: Nexus Humans CWS-322 Citrix Virtual Apps and Desktops 7 Advanced Configuration and WEM Administration 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 CWS-322 Citrix Virtual Apps and Desktops 7 Advanced Configuration and WEM Administration 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.

Course Outline: What is “Diversity and Inclusion”?  The Cultural Contact Lens - understanding different people's experiences  The Social Ecological Model - understanding how individual elements sit within and impact upon social change  Finding your ‘why’, and the Business Case for D&I  Going above and beyond the Law - the Equality Act (2010) and protected characteristics  Becoming comfortable with feeling uncomfortable  Privilege, power, and the Cycle of Oppression  An introduction to allyship  Summary and questions

Duration 3 Days 18 CPD hours This course is intended for The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. Overview After completing this course, students will be able to: ? Perform Power BI desktop data transformation. ? Describe Power BI desktop modelling. ? Create a Power BI desktop visualization. ? Implement the Power BI service. ? Describe how to connect to Excel data. ? Describe how to collaborate with Power BI data. ? Connect directly to data stores. ? Describe the Power BI developer API. ? Describe the Power BI mobile app. The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App. Introduction to Self-Service BI Solutions Introduction to business intelligence Introduction to data analysis Introduction to data visualization Overview of self-service BI Considerations for self-service BI Microsoft tools for self-service BI Lab : Exploring an Enterprise BI solution Introducing Power BI Power BI The Power BI service Lab : Creating a Power BI dashboard Power BI Using Excel as a data source for Power BI The Power BI data model Using databases as a data source for Power BI The Power BI service Lab : Importing data into Power BI Shaping and Combining Data Power BI desktop queries Shaping data Combining data Lab : Shaping and combining data Modelling data Relationships DAX queries Calculations and measures Lab : Modelling Data Interactive Data Visualizations Creating Power BI reports Managing a Power BI solution Lab : Creating a Power BI report Direct Connectivity Cloud data Connecting to analysis services Lab : Direct Connectivity Developer API The developer API Custom visuals Lab : Using the developer API Power BI mobile app The Power BI mobile app Using the Power BI mobile app Power BI embedded

Duration 5 Days 30 CPD hours This course is intended for This intermediate course is designed for anyone who works on WebSphere related applications and projects, including administrators, IBM Business Partners, independent software vendors (ISVs), and consultants. Overview The objectives for this course are as follows:Use IBM Support Assistant to organize and analyze problem artifactsUse problem determination techniques to identify common problemsApply problem investigation approaches such as analysis and isolationGather diagnostic data problem artifacts by using administrative toolsTroubleshoot JVM-related problems such as hung threads, out of memory issues, and crashesUse IBM Support Assistant to run tools that analyze diagnostic dataIdentify and troubleshoot common problems with database connectionsConfigure and tune database connection poolsTroubleshoot WebSphere security problems associated with authentication, authorization, SSL, and Java 2 policiesIdentify and resolve Java EE application deployment problemsTroubleshoot HTTP request flow problems from web server to web containerIdentify and resolve application server startup failuresTroubleshoot problems associated with WebSphere default messaging and SI busTroubleshoot WebSphere installation problemsUse Intelligent Management features to configure health policies and tasksCommunicate effectively with IBM support teams This course teaches you how to manage WebSphere Application Server problems more skillfully within your organization by using problem determination tools and techniques. Outline Course introduction Overview of WebSphere Application Server systems and components Using the IBM Support Assistant Team Server 5.0 Exercise: Using the IBM Support Assistant Team Server 5.0 Problem determination methods Gathering diagnostic data Exercise: Gathering diagnostic data Introduction to JVM-related problems Exercise: Introduction to configuring garbage collection policies How to troubleshoot hangs Exercise: Troubleshooting hung threads How to troubleshoot crashes Exercise: Troubleshooting crashes Introduction to WebSphere out-of-memory problems Exercise: Troubleshooting an out-of-memory condition Introduction to database connection problems Exercise: Troubleshooting database connection problems Tuning and connection pool management problems Exercise: Troubleshooting a connection leak WebSphere security configuration problems Exercise: Troubleshooting security problems Application deployment problems Server start failures Exercise: Troubleshooting server start failures Request flow and web container problems Exercise: Troubleshooting request flow and web container problems Default messaging provider problem determination Exercise: Troubleshooting WebSphere default messaging WebSphere installation problems when using IBM Installation Manager Intelligent Management problem determination and problem determination tools Exercise: Configuring health management policies Course summary

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: IT Solution Architects Network Security Architects Networking Admin and Operations Networking Field Engineers In this workshop you will learn why we are implementing Assurance, and what does looks like and key features. We will also discuss the Cisco DNA center appliance and workflow and tasks associated with an implementation. Module 1: Introduction to Cisco DNA Center Assurance Introduction to DNA Center System Architecture Key Features and Use Cases Introduction to Cisco ISE and DNAC-ISE integration Module 2: Design Network design options Sites Creating Enterprise and Sites Hierarchy Configuring General Network Settings Loading maps into the GUI IP Address Management Software Image Management ? Lab on Day 5 Network Device Profiles AAA SNMP Syslog IP address pools Creating Enterprise and Guest SSIDs ? Lab on Day 2 Creating the wireless RF Profile Cresting the Guest Portal for the Guest SSIDs Network profiles ? Lab on Day 2 Authentication templates Module 3: Discovery and Provision Device Discovery and Protocols Devices Onboarding Assigning Devices to a site Provisioning device with profiles Plug and Play Templates Templates for Day-0 Templates for Day-N operations Module 4: Monitoring Device, Client, and Application Health DNAC Telemetry Monitoring Network Device Health and Performance Monitoring Wired and Wireless Client Health and Performance Monitoring Application Health and Performance Module 5: Application Visibility and DNAC Integration with Umbrella Monitoring Application Visibility in DNA Center Umbrella Introduction DNA Center Umbrella Integration and Use Cases Module 6: Troubleshooting Issues, Observing Insights and Trends Detect Issues, Insights, and Trends in the Network DNA Center Integration with other tools for Monitoring and Management Module 7: Troubleshooting using Cisco DNA Center Assurance Tools DNAC Assurance Troubleshooting Tools Using Sensor Tests Using Intelligent Capture Spectrum Analysis Module 8: DNAC and Thousand Eyes Introduction to ThousandEyes ThousandEyes Use Cases DNA Center and ThousandEyes Integration Module 9: AI Analytics and Machine Learning in DNA Center Overview of AI Analytics and ML (Machine Learning) DNA Center AI and ML Use Cases Module 10: DNA Center Maintenance DNA Center Reports DNA Center Backup and Restore

Duration 5 Days 30 CPD hours This course is intended for Application Developers; Programmers, Sales and Pre Sales, Technical Support, Project Managers, Cisco customers, partners and employees involved in UCCE/CVP or CVP stand alone deployments Overview Upon completing this course, the learner will be able to meet these overall objectives: Introduction to the Java API, its capabilities and limitations - Practice - This course is applicable for any version of CVP and Studio. Introduction to Voice Elements and their complexity - creating every different Java component to extend Studio (see below) Overview of a UCCE with CVP Comprehensive Call Flow Module 1 Overview of a UCCE with CVP Comprehensive Call Flow Module 2 ICM routing scripts to route calls to CVP VXML Server applications Passing data (e.g., global variables) Parsing and evaluating data returned Queueing Assigning data to send to Finesse. Module 3 Writing Call Studio scripts (applications) Prompting Callers ? using pre-recorded audio; TTS text-to-speech; Say it Smart to format audio as digits, date, time, currency; input error reprompting Menus Collecting and confirming caller input, such as account numbers, dates of birth, etc Working with variables ? Session data, Element data, Call data, Local data (CVP11) Introduction to retrieving data from back end systems: SQL Database interaction ? using the Studio Database element to select data Web service interaction- Studio Web Services element for SOAP-web services and calling a simple REST web service Playing audio to callers during back-end data retrieval Catch events Working with counters, decisions, math Introduction to javascript for substrings and string length Setting VoiceXML properties affecting the gateway Multi-Language applications Module 4 Working with Version Control Module 5 ÿImplementing a Post Call Survey Module 6 Using the Studio Debugger to test applications within Studio Module 7 CVP Reporting Server and CVP CUIC Reports Best practices regarding naming elements and variables Configuring data to pass to the Reporting Server using OAMP Understanding Reporting Server tables Understanding the Application Summary CUIC reports Module 8 Administration covered throughout the course OAMP Operations Console to deploy applications to VXML Server Using Studio Documenter to print Visio-like diagrams of the application Configuring log file properties Using logs for debugging applications Administrative scripts for graceful updates or suspensions of the server Important log, debug, administration files Module 9 Cisco Courtesy Callback Detailed discussion of the CCB Call flow, the ICM script, and the 5 Studio scripts used for Courtesy Callback.