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Duration 2 Days 12 CPD hours This course is intended for This course is for web developers who are well-versed in JavaScript and want to take their TypeScript knowledge to the next level. No prior TypeScript knowledge is required. Overview By completing this course, you will be able to build interesting TypeScript projects. This course will take your current TypeScript knowledge to the next level. Here are the important topics that this course will cover: - Learn the fundamentals of TypeScript - Build a weather forecast widget with Angular - Create building a note-taking client/server application using Angular, Node.js, and MongoDB - Create a real-time chat application with React In this course, you will begin by learning the fundamentals of TypeScript and then move toward advanced concepts. Then, learn how TypeScript relates to JavaScript that you may have written before. and understand the benefits of TypeScript and how it can help you avoid software defects. You will also learn to use type guards, check null and undefined, create tagged union types, and compare the performance of algorithms. Additionally, you will use TypeScript to build a weather forecast widget with Angular and then progress by building a note-taking client/server application using Angular, Node.js, and MongoDB, and finally create a real-time chat application with React. TypeScript Fundamentals Introduction to TypeScript Type Checking Advanced Type Analysis Features Comparing Performance of Algorithms Building a Weather Forecast Widget with Angular 4 Using Modules Creating the First Component Using the Component in Other Components Using the Main Component Note-Taking Client/Server App Setting up the Server Integrating with MongoDB Creating the Client Side with Angular Real-Time Chat Setting up the Project Writing the Server Creating the Chat Room Additional course details: Nexus Humans Building Web Applications With TypeScript, Angular, and React 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 Building Web Applications With TypeScript, Angular, and React 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 If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Sales Representatives (SR), Sales Managers and End-users who have an interest in the Sales components of Dynamics 365. Students should have an existing working knowledge of either Microsoft Dynamics 365 or Microsoft Dynamics CRM. As a minimum, students should attend the prerequisite course Introduction to Microsoft Dynamics 365 Overview Understand the features and tools that exist in Microsoft Dynamics 365 for SR?s and Sales Managers. Be familiar with the stages of the Sales Order. Process in Microsoft Dynamics 365. Understand the fundamentals of Lead and Opportunity Management. Be able to track, manage, qualify Leads and convert to Opportunities and related customer records in Microsoft Dynamics 365. Know how to disqualify and cancel Leads, and convert Activity records to Leads and Opportunities. Understand how to collaborate on Opportunities with other SR?s and close Opportunity records as Won and Lost. Be able to track Competitors and Stakeholders. Understand how to view Resolution Activities. Add Products and Write-In Products to Opportunities. Build and maintain a repository of Products, Product Bundles and Product Families in the Product Catalog. Configure Unit Groups, Price Lists and Discount Lists. Work with Product Properties and view a Product Hierarchy. Create Quotes and add Products. Work with the Sales Order Process to convert Quotes to Orders and Invoices. Fulfill Orders and manage Invoice payments. Explore the Sales Reports and create a custom Sales Report using the Reporting Wizard in Microsoft Dynamics 365. Understand the significance of Sales Goal Management and Metrics in Microsoft Dynamics 365. Explore the Sales Charts and Dashboards and create a custom Sales Dashboard in Microsoft Dynamics 365. This course provides students with a detailed hands-on experience of the Salesfeatures and components of Microsoft Dynamics 365. Introduction Sales Order Process Scenarios An Introduction to Sales in Dynamics 365 The Dynamics 365 Platform Dynamics 365 Sales Fundamentals Security Considerations Where to get Help Further Reading and Resources Lead Management The Lead Management Process Working with Lead Records Working with the Lead Form Lead Assignment Leads and Activities Qualifying a Lead Disqualifying a Lead Opportunities Management Introduction to Opportunities The Opportunity Views The Opportunity Form Opportunity Sales Process Closing an Opportunity Resolution Activities Products Introduction to the Product Catalog Adding Products Configuring Unit Groups Price Lists and Price List Items Quotes, Orders and Invoices Introduction to Order Processing Adding Products to an Opportunity Working with Quotes Working with Orders Working with Invoices Sales Analysis Introduction to Sales Analysis in Dynamics 365 The Sales Reports The Reporting Wizard Working with Sales Charts Working with Sales Dashboards Working with Sales Goals and Metrics

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

Duration 1 Days 6 CPD hours This course is intended for This course is intended for those responsible for ITAD programs and other IT professionals involved in Asset Management, resource budgeting, finance, software licensing, contract management and strategic planning. Overview Students will learn the best practices in an IT Asset Management Program and align those processes with their organizations' business practices. They will be able to manage overall ITAM programs and demonstrate in-depth knowledge, operational knowledge and competence in asset disposal and process development. The IAITAM Certified IT Asset Disposition (CITAD) course prepares individuals to manage the IT asset disposal process within an organization. Best practices in IT Asset Disposition (ITAD) are broken down from policy management, data security to chain of custody transitioning. Attendees whose job responsibilities include ITAD will take away the knowledge of how to avoid risk of data loss and public exposure that surround a breakdown in ITAD process management. ITAD best practices, financial return, data security global implications and the importance of vendor management are just a few of the topics incorporated in the CITAD course. This course exposes the attendee to numerous concepts for ITAM that are relevant for both direct application and as a means of discussion for those persons who will implement, manage and direct ITAM initiatives for their organizations. This course includes the exam for CITAD certification. Course Outline Disposition Overview Disposition and ITAM Organizational Goals for Disposition ITAM Goals for Disposition Governance of Electronic Disposal Composition of E-Scrap Waste Management Laws Foundation for Disposal Management Policy Topics Relevant to Disposition Asset Standards Benefit Disposal The Role of Automation Data Security Governance Working with Vendors Selecting Vendors Due Diligence The Removal Process Software During Disposition Decision Factors for Retirement The Disposition Processes Financial Management & Measurement Additional course details: Nexus Humans Certified IT Asset Disposal (CITAD) 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 Certified IT Asset Disposal (CITAD) 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 is an intermediate course for people who need to write and maintain Rexx programs in the z/OS system environment. Overview The objectives of this course are as follows:- Write programs using the Rexx language- Use various data parsing techniques- Use built-in Rexx functions- Create user-defined internal and external functions and subroutines- Issue host commands from within Rexx execs- Code programs that read and write data sets- Use instructions and commands that manipulate the data stack- Use Rexx debugging tools- Write error-handling routines This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console. Day 1 Unit 1 - Introduction Unit 2 - Getting started with REXX (start) Lab exercise 1 Unit 2 - Getting started with REXX (finish) Lab exercise 2 Unit 3 - Programming in REXX (start) Day 2 Lab exercise 3 Unit 3 - Programming in REXX (finish) Lab exercise 4 Unit 4 - Functions and subroutines (start) Lab exercise 5 Day 3 Unit 4 - Functions and subroutines (finish) Lab exercise 6 Unit 5 - Debugging and error handling Lab exercise 7 Unit 6 - Executing host commands Lab exercise 8 Day 4 Unit 7 - Compound variables and the data stack Lab exercise 9 Unit 8 - Reading and writing data sets in REXX Lab exercise 10 Unit 9 - The parse instruction Day 5 Lab exercise 11 Unit 10 - Using REXX: REXX compiler, REXX in batch, MVS console commands Lab exercise 12 Additional course details: Nexus Humans ES52 IBM z/OS REXX Programming Workshop 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 ES52 IBM z/OS REXX Programming Workshop 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 in an intermediate-level Java development course geared for students experienced with Java and Spring programming essentials. This course does not cover Java or Spring development basics. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core Cucumber and web testing skills, coupling the most current, effective techniques with the soundest industry practices. Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will: Learn the request-response cycle of REST requests Implement a REST controller using Spring Map URLs to service endpoints Use Spring's template class to develop a REST client Bootstrap a Spring REST applications Return different media types for a service Setting the response headers Discuss Exceptions and HTTP Status codes Handle exceptions thrown by a service Spring REST focuses on providing an understanding of the fundamental principles and technologies that are used in the development of RESTful services and clients. This understanding is critical to being able to diagnose, troubleshoot, tune, and perform other lifecycle activities.Working with Spring REST is a two-day, fast-paced coding course geared for experienced developers who have prior working knowledge of Java. Throughout the course students learn the best practices for writing Restful services in Java using Spring Boot. The course provides an in-depth view of the APIs provided by Spring to develop both the REST service and the REST client. Implementing REST with Spring REST principles Introduction to RESTful Services in Spring Introduction to REST Clients in Spring Bootstrapping the REST application Content Representation Implementing the REST Service Error Handling Security and RESTful Services Securing Untrusted Input Defending RESTful Services Additional course details: Nexus Humans Working with Spring REST (TT3358) 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 Working with Spring REST (TT3358) 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 course is for network managers, resellers, systems administrators, client security administrators, systems professionals, and consultants who are charged with the installation, configuration, and day-to-day management of Symantec Endpoint Protection in a variety of network environments, and who are responsible for troubleshooting and tuning the performance of this product in the enterprise environment. Overview At the completion of the course, you will be able to: Describe Symantec Endpoint Protection products, components, dependencies, and system hierarchy. Install and configure Symantec Endpoint Protection management and client components. Deploy Symantec Endpoint Protection Windows, Windows Embedded, Mac and Linux clients. Manage the client user interface. Manage content updates for Windows, Mac, and Linux. Perform server and database management. Configure replication and load balancing. Design a Symantec Endpoint Protection environment. This course is designed for the network, IT security, and systems administration professional tasked with architecting and implementing Symantec Endpoint Protection. Introduction Course overview The classroom lab environment Symantec Endpoint Protection Product Solution Why use Symantec Endpoint Protection? Symantec Endpoint Protection technologies Symantec Endpoint Protection services Symantec Endpoint Protection components Symantec Endpoint Protection policies and concepts Extending Symantec Endpoint Protection Installing the Symantec Endpoint Protection Manager Identifying system requirements Preparing servers for installation Installing and configuring the Symantec Endpoint Protection Manager Describing Symantec Endpoint Protection upgrades and version compatibility Configuring the Symantec Endpoint Protection Environment Starting and navigating the SEPM Describing policy types and components Console authentication Licensing the SEP environment Deploying Windows and Windows Embedded Clients Planning the client deployment Configuring client deployment package Deploying packages to clients Maintaining the client environment Upgrading Symantec Endpoint Protection clients Deploying Mac and Linux Clients Linux prerequisites Linux deployment Mac prerequisites Mac deployment Client and Policy Management Describing SEPM and client communications Administering clients Configuring groups Configuring locations Active Directory integration with SEP 12.1 Client configuration modes Configuring domains General client settings and Tamper Protection Configuring Content Updates for Windows Clients Introducing LiveUpdate Configuring the SEPM for LiveUpdate Configuring the LiveUpdate Settings and Content policies Configuring multiple group update providers (GUPs) Manually updating virus definitions Configuring Content Updates for Mac and Linux Clients Describing content update methods Configuring the LiveUpdate policy Configuring the SEPM as a reverse proxy Monitoring updates Performing Server and Database Management Managing SEPM servers Maintaining server security Communicating with other servers Managing administrators Managing the database Disaster recovery techniques Configuring Replication and Failover and Load Balancing About sites and replication How replication works Symantec Endpoint Protection replication scenarios Configuring replication Failover and load balancing Designing a Symantec Endpoint Environment Architecture components Architecture constraints Component placement Content delivery Determining client to SEPM ratios SEPM and database sizing best practices

Duration 2 Days 12 CPD hours This course is intended for This course is designed for students wishing to gain intermediate-level skills or individuals whose job responsibilities include constructing relational databases and developing tables, queries, forms, and reports in Microsoft Access for Office 365. Overview In this course, you will optimize an Access database. You will: Provide input validation features to promote the entry of quality data into a database. Organize a database for efficiency and performance, and to maintain data integrity. Improve the usability of Access tables. Create advanced queries to join and summarize data. Use advanced formatting and controls to improve form presentation. Use advanced formatting and calculated fields to improve reports. In this course, you will expand your knowledge of relational database design; promote quality input from users; improve database efficiency and promote data integrity; and implement advanced features in tables, queries, forms, and reports. Extending your knowledge of Access will result in a robust, functional database for your users.This course covers Microsoft Office Specialist Program exam objectives to help you prepare for the Access Expert (Office 365 and Office 2019): Exam MO-500 certification. Improving Table Usability Topic A: Create Lookups Within a Table Topic B: Work with Subdatasheets Creating Advanced Queries Topic A: Create Query Joins Topic B: Create Subqueries Topic C: Summarize Data Improving Form Presentation Topic A: Apply Conditional Formatting Topic B: Create Tab Pages with Subforms and Other Controls Creating Advanced Reports Topic A: Apply Advanced Formatting to a Report Topic B: Add a Calculated Field to a Report Topic C: Control Pagination and Print Quality Topic D: Add a Chart to a Report Importing and Exporting Table Data Topic A: Import and Link Data Topic B: Export Data Topic C: Create a Mail Merge Using Queries to Manage Data Topic A: Create Action Queries Topic B: Create Unmatched and Duplicate Queries Creating Complex Reports and Forms Topic A: Create Subreports Topic B: Create a Navigation Form Topic C: Show Details in Subforms and Popup Forms Creating Access Macros Topic A: Create a Standalone Macro to Automate Repetitive Tasks Topic B: Create a Macro to Program a User Interface Component Topic C: Filter Records by Using a Condition Topic D: Create a Data Macro Using VBA to Extend Database Capabilities Topic A: Introduction to VBA Topic B: Using VBA with Form Controls Managing a Database Topic A: Back Up a Database Topic B: Manage Performance Issues Topic C: Document a Database Distributing and Securing a Database Topic A: Split a Database for Multiple-User Access Topic B: Implement Security Topic C: Convert an Access Database to an ACCDE File Topic D: Package a Database with a Digital Signature

Duration 2 Days 12 CPD hours This course is intended for This course is intended for network engineers, network support personnel, and reseller support. Overview After successfully completing this course, you should be able to:Configure LAN-to-LAN IP Security (IPsec) VPNs in various configurations. Configure VPN redundancy. Configure dynamic routing using IPsec VPNs. Configure remote access IPsec connectivity including group Internet Key Exchange (IKE) and shared IKE. Configure generic routing encapsulation (GRE) tunnels. This intermediate-level course focuses on the wide range of options available when configuring virtual private networks (VPNs) using Juniper Networks firewall/VPN products. Students attending the course will learn these various deployments through detailed lectures and hands-on lab exercises. Chapter 1: Course IntroductionChapter 2: ScreenOS VPN Basics Review VPN Review Verifying Operations VPN Monitor Lab: VPN Review Chapter 3: VPN Variations Dynamic Peers Transparent Mode Overlapping Addresses Lab: VPN Variations Chapter 4: Hub-and-Spoke VPNs Concepts Policy-Based Hub-and-Spoke VPNs Route-Based Hub-and-Spoke VPNs with No Policy and NHTB Route-Based Hub-and_Spoke VPNS with Policy Centralized Control Hub-and-Spoke VPNs ACVPNs Lab: Hub-and-Spoke VPNs Chapter 5: Routing over VPNs Routing Overview Configuring RIP Configuring OSPF Case Studies Lab: Dynamic Routing Chapter 6: Using Certificates Concepts and Terminology Configuring Certificates and Certificate Support Configuring VPNs with Certificates Lab: Using Certificates Chapter 7: Redundant VPN Gateways (Optional) Redundant VPN Gateways Other Options Demonstration: Redundant VPN Gateways Chapter 8: Generic Routing Encapsulation (Optional) Configuring GRE Chapter 9: Dial-Up IPsec VPNs (Optional) Basic Dial-Up Configuration Group IKE ID XAUTH and Shared IKE ID Additional course details: Nexus Humans Advanced Juniper Networks VPN Implementations 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 Advanced Juniper Networks VPN Implementations 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.