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Duration 2 Days 12 CPD hours This course is intended for This course is for analysts, developers, and administrators of IBM Watson Explorer Deep Analytics Edition oneWEX. Overview Identify oneWEX platformsIdentify the process and data flows of oneWEX projectsExplore the oneWEX user interfaceExplain ingestion and conversionUtilize Content MinerDefine enrichmentIdentify advanced features of oneWEX This course is designed to teach students core concepts of IBM Watson Explorer Deep Analytics Edition oneWEX. Students will learn to identify the oneWEX platforms as well as the process flow and data flow of oneWEX projects. Students will explore oneWEX tools, such as Content Miner and the Admin Console, while gaining hands-on experience in data acquisition and enrichment. Finally, students will be exposed to more advanced topics, such as Application Builder, Content Analytics Studio, and API usage. Overview of oneWEX Introduction to oneWEX Explore oneWEX architecture Identify installation options Navigation in oneWEX Explore the Admin Console Explore navigation using Content Miner The Collection detail view The REST API Data flow Explore the data flow of oneWEX Search and Analytics collection templates Identify data acquisition Data ingestion Work with datasets Work with crawlers Use an importer Explore conversion Data ingestion log files Analysis using oneWEX Content Miner Explore analysis using Content Miner The Guided Analysis Experience The Guided Analysis view Explore Annotators Enrichment using Annotators Annotator types Enrichment using Labeler Identify enrichment Identify document classification Classify using training data Classification versus clustering The document classification process Enrichment using Ranker Identify enrichment using Ranker The ranking process Migrate annotators from Content Analytics Studio Migrate Content Analytics Studio annotators Identify the UIMA pipeline configuration for oneWEX Update annotators Using Application Builder with oneWEX Application Builder and user roles Explore Application Builder Set up a oneWEX data source Functionality for oneWEX data sources Additional course details: Nexus Humans O3201 Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.x) 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 O3201 Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.x) 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 intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course Outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods

In the fast-changing world of business, and especially IT, everyone in the organisation should be involved in sales. One of the best ways is to give the customer an outstanding experience. The customer experience is the competitive battlefield of today. Sales may be won or lost here. You can either close a sale for a quick buck, or open a long-term relationship to create a high lifetime value customer. By developing excellent communication skills, rapport and, most of all, a desire to serve and listen to the needs of the customer to the best of their ability, both sales teams and other IT professionals will create trust, nurture relationships and develop awareness of other opportunities with the customer. By the end of this course, participants will be able to: Understand the power of a positive customer experience in developing sales opportunities Recognise and develop a sales opportunity when it arises Engage with customers and develop rapport and trust Use verbal and non-verbal communication skills and pick up on signals Ask powerful questions - and listen to the answers Create 'magic moments' for the customer Turn a complaint into an opportunity Know when to ask for referrals and testimonials Pass on leads to the relevant people 1 Introduction Aims and objectives Beliefs about sales 2 Building rapport First impressions Short cuts to rapport Finding common interests 3 Selling or serving? Managing emotions and behaviour - Transactional Analysis Moments of truth - creating 'magic moments' Speed sells - the follow-up 4 Meetings Planning a successful meeting Pre-meeting connection and assistance Sales meeting failure reasons Right v wrong mindset 5 Communication - verbal and non-verbal The 3 Vs - Visual, Verbal, Vocal Picking up on signals 7 power questions Questioning techniques LISTEN - 3 types of listening skills 6 Influencing 6 levels of influence Framing to change perspectives Turning complaints into opportunities 7 Referrals The power of referrals How and when to ask for a referral 5 steps from rapport to referral 8 Presentation and pitching (optional session) Basic presentation structure and delivery Creating powerful impressions Creating a 60-second pitch The elevator 10-second pitch - answering 'What do you do?' Sales presentations Emotion v Intellect - how to engage Using visuals

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course Outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods Course Summary

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Technology Consultants, System AdministratorsTechnical Architects, and Support Consultants. Overview Understand and use the Monitoring and Alerting Infrastructure (MAI) for monitoring the system landscape with SAP Solution ManagerSetup and Configure the monitoring types System Monitoring, Self- Monitoring, End-user Experience, Integration Monitoring, Job & BI MonitoringUse the features of the Technical Monitoring Work CenterUse Technical Reporting options (EWA, SL Reporting, Interactive Reporting)Use the SAP Solution Manager Administration work center for Troubleshooting In this course, students learn to understand and use the Monitoring and Alerting Infrastructure (MAI) for monitoring the system landscape with SAP Solution Manager Setup and configure the monitoring types. Course Outline Get an overview about the Technical Monitoring in SAP Solution Manager 7.1 Get an overview about the Monitoring and Alerting Infrastructure (MAI) architecture Get a deep understanding about Monitoring Templates Using the Alert Inbox including Guided Procedures Configure Work Mode Management and Notification Management Configure and using System Monitoring Configure and using Interface Channel Monitoring and Connection Monitoring Configure and using End-user Experience Monitoring Configure and using BI-Monitoring and Job Monitoring Configure and using PI-Monitoring, Message Flow Monitoring and Workflow Monitoring Using Technical Reporting (EarlyWatch Alerts, Service Level Reporting, Interactive Reporting and Dashboards) Get an overview about SAP IT Infrastructure Management Get an overview about SAP Mobile Apps for the Monitoring and Alerting Infrastructure (MAI) Configure and using SAP Solution Manager Self-Monitoring and Self Diagnosis Using Monitoring and Alerting Infrastructure Analysis Tools

Duration 3 Days 18 CPD hours This course is intended for Developers, Functional Testers, Test Automation Specialists, Performance Specialists, Environment and Data Specialists, Security Specialists Prerequisites for taking part in the workshop: It is recommended that participants should have completed the ISTQB© Certified Tester Foundation Level certification, or have attended the workshop. Overview Defined tasks need to be structured according to the technical requirements and the internal structure of the system needs to be analysed in detail in order to achieve the expected level of quality and detect errors during development. The ISTQB© Advanced Level Technical Test Analyst certification will teach you on the basis of the current ISTQB© Advanced Level syllabus. The various procedures, techniques and tools for non-functional system testing will be explained, and you will then be in a position to apply these in your future work as a Technical Test Analyst. The three-day certification will be followed by a two-hour examination. During the workshop, our experienced trainers will fully prepare you for the ISTQB© Advanced Level Technical Test Analyst examination. Following on from the ISTQB© Certified Tester Foundation Level training, this workshop covers the increasing technical challenges faced by system testing in particular. Topic 1 Tasks of a Technical Test Analyst in risk-based testing Topic 2 Structure-based testing: Simple condition test, condition/decision test, modified condition/decision test, multiple condition test, path test, API test, selection of structure-based procedures Topic 3 Analytical testing methods: static analysis (control flow analysis, data flow analysis, improved maintainability/adaptability with static analysis, call graphs), dynamic analysis (detection of memory leaks/?rogue? pointers, analysis of system performance) Topic 4 Quality features in technical tests (ISO 25000 standard): Planning aspects of technical testing, security testing, reliability testing, performance testing, resource usage, maintainability testing, portability testing Topic 5 Review checklists (architecture and code reviews) Topic 6 Testing tools and automation, tool integration, test automation projects, specific testing tools Topic 7 Practical exercises on all core topics Notes In order to take the examination, you must show at least 18 months? practical experience as a tester and be certified at ISTQB© Foundation Level. Confirmation from your employer or from your reference customers are accepted as proof of practical experience. Additional course details: Nexus Humans ISTQB Certified Tester, Advanced Level - Technical Test Analyst 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 ISTQB Certified Tester, Advanced Level - Technical Test Analyst 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 5 Days 30 CPD hours This course is intended for This course is designed for Java developers who want to learn more about the specifications that comprise the world of Java Enterprise Edition (Java EE), Proficiency in developing Java SE applications, with 2+ years of experience required, Proficiency in using an IDE such as Red Hat Developer Studio or Eclipse, Experience with Maven is recommended but not required. Overview Red Hat Application Development I: Programming in Java EE Virtual Training exposes experienced Java Standard Edition (Java SE) developers to the world of Java Enterprise Edition (Java EE). As an experienced Java Standard Edition (Java SE) developer, this course introduces you to the world of Java Enterprise Edition (Java EE). You will learn about the various specifications that make up Java EE. Through hands-on labs, you will transform a simple Java SE command line application into a multi-tiered enterprise application using various Java EE specifications, including Enterprise Java Beans, Java Persistence API, Java Messaging Service, JAX-RS for REST services, Contexts and Dependency Injection (CDI), and JAAS for securing the application. This course is based on Red Hat© Enterprise Application Platform 7.0. 1 - TRANSITION TO MULTI-TIERED APPLICATIONS Describe Java EE features and distinguish between Java EE and Java SE applications. 2 - PACKAGE AND DEPLOY APPLICATIONS TO AN APPLICATION SERVER Describe the architecture of a Java EE application server, package an application, and deploy the application to an EAP server. 3 - CREATE ENTERPRISE JAVA BEANS Develop Enterprise Java Beans, including message-driven beans. 4 - MANAGE PERSISTENCE Create persistence entities with validations. 5 - MANAGE ENTITY RELATIONSHIPS Define and manage JPA entity relationships. 6 - CREATE REST SERVICES Create REST APIs using the JAX-RS specification. 7 - IMPLEMENT CONTEXTS AND DEPENDENCY INJECTION Describe typical use cases for using CDI and successfully implement it in an application. 8 - SECURE JAVA EE APPLICATIONS Use JAAS to secure a Java EE application. 9 - SECURE JAVA EE APPLICATIONS Use JAAS to secure a Java EE application. 10 - COMPREHENSIVE REVIEW OF RED HAT JBOSS DEVELOPMENT I: JAVA EE Demonstrate proficiency of the knowledge and skills obtained during the course. Additional course details: Nexus Humans Red Hat Application Development I: Programming in Java EE (AD183) 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 Red Hat Application Development I: Programming in Java EE (AD183) 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 This Introductory-level course is targeted for aspiring web developers who have software development experience or background. The course can also be adjusted for non-developers upon request. Overview This 'skills-focused' course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our instructors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Introduction to HTML5/ CSS3 and Responsive Design Basics is a hands-on basic web development course geared for developers who need to understand what the latest in web technologies and responsive design practices that are central to targeting the entire spectrum of user platforms and browsers. This comprehensive course provides a balanced mixture of theory and practical labs designed to take students through HTML5 and CSS3. Students who attend this course will leave this course armed with the new skills to design, implement, and deploy robust, flexible, and safe web applications. HTML Define HTML and review its history Look at XHTML and its relationship to HTML Identify HTML limitations and improvements HTML5 HTML5 Overview HTML5 Semantic Structure HTML5 Forms HTML5 Media Delivery CSS Learn the basics of CSS Meaning of cascading in CSS Declaring CSS within your HTML page Creating styles in an external CSS file Control how to display and position HTML elements Overriding standard tag behavior Adding new classes Using custom classes in your page CSS3 Overview What is new in CSS3 The Advantages of CSS3 Browser Support for CSS3 CSS3 Advanced Selectors Selecting Using Attributes Selecting Using DOM Structure Complex Selecting using Pseudo-Classes Selecting Using UI Components and State CSS3 Visual Effects Font Options, Opacity, and Color Distributing Content Across Columns Working with Borders and Boxes Working with Vendor Prefixes Functional Techniques HTML5 JavaScript API Cross-Domain Messaging Working with Web Storage Offline with Application Cache Geolocation: What, Why, and How Responsive Web Design (RWD) Adapting to Varying Screen Sizes Scaling Page and Text Content Scaling and Adapting for Media Options for Adjusting Media Additional course details: Nexus Humans Web Essentials | Introduction to HTML5, CSS3 and Responsive Design (TT4002) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Web Essentials | Introduction to HTML5, CSS3 and Responsive Design (TT4002) 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 Application developers who want to increase their understanding of Spring Security with hands-on experience and build secure Spring and Spring Boot applications. Overview By the end of the course, you should be able to meet the following objectives: Use Spring Security in Spring and Spring Boot applications Configure the Spring Security filter chain Protect HTTP endpoints with expression-based access control and the AuthorizationManager API Protect method execution Use different authentication mechanisms Handle passwords in an efficient way Integrate Spring Security with Junit 5 and MockMVC to test HTTP and method security Protect against common vulnerabilities and threats Understand what OAuth2 is Use and configure the Spring Authorization Server Implement a resource server and client This 2-day course offers hands-on experience with the major features of Spring Security, which includes configuration, authentication, authorization, password handling, testing, protecting against security threats, and the OAuth2 support to secure applications. On completion, participants will have a foundation for securing enterprise and microservices applications. Security Introduction Need for security Basic security concepts Common security vulnerabilities Spring Security Basics Introduction to Spring Security High-level architecture Overview of SecurityContext Spring Security with Spring Boot Customizing Authentication Building blocks for authentication Authentication mechanisms based on user name and password Other authentication mechanisms Authentication events Securing Web Applications Configuring authorization Using AccessDecisionsManager for authorization Using AuthorizationManager for authorization Bypassing security Method Security Method security architecture Declarative method security with annotations Security Testing Spring Security Testing Support Security mock annotations and meta-annotations Using MockMvc to test security Handling Passwords Password hashing Upgrading passwords (Optional) Protecting Against Common Vulnerabilities Hardening web applications with security headers Preventing cross-site request forgery Encrypting data in transit OAuth5 and OIDC Concepts Need for OAuth Overview of OAuth5 and OIDC OAuth5 grant types Types of tokens Spring Security OAuth5 support and OAuth5 login Spring Authorization Server Introduction to Authorization Server Spring Authorization Server endpoints Spring Authorization Server configuration Protecting and accessing resources with OAuth5 Resource server Using JWT tokens Using opaque tokens Configuring an OAuth5 client Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Spring Security 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 Security 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 Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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.