17258 Courses delivered Online

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 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 5 Days 30 CPD hours This course is intended for Linux Professional Institute Certification (LPIC-1) 102 training is suitable for individuals with roles of: System administrator Network administrator Technician DevOps Overview Upon successful completion of this course, students will be able to: customize shell environments to meet users' needs customize existing scripts or write simple new Bash scripts install and configure X11 add, remove, suspend and change user accounts use cron and systemd timers to run jobs at regular intervals and to use at to run jobs at a specific time localize a system in a different language than English properly maintain the system time and synchronize the clock via NTP manage print queues and user print jobs using CUPS and the LPD compatibility interface manage the persistent network configuration of a Linux host configure DNS on a client host review system configuration to ensure host security in accordance with local security policies know how to set up a basic level of host security use public key techniques to secure data and communication. This course prepares students to take the 102 exam of the LPI level 1 certification. Shells and Shell Scripting Customize and use the shell environment Customize or write simple scripts User Interfaces and Desktops Install and configure X11 Graphical Desktops Accessibility Administrative Tasks Manage user and group accounts and related system files Automate system administration tasks by scheduling jobs Localisation and internationalisation Essential System Services Maintain system time System logging Mail Transfer Agent (MTA) basics Manage printers and printing Networking Fundamentals Fundamentals of internet protocols Persistent network configuration Basic network troubleshooting Configure client side DNS Security Perform security administration tasks Setup host security Securing data with encryption Additional course details: Nexus Humans Linux Professional Institute Certification (LPIC-1) 102 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 Linux Professional Institute Certification (LPIC-1) 102 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 course is designed for individuals in a variety of job roles whose primary responsibility is not project management, but who manage projects on an informal basis; who contribute as members of a project team; or who wish to incorporate project management practices into their personal work. It is also beneficial for anyone who is considering a career path in project management and desiring a complete overview of the field and its generally accepted practices. Overview In this course, you will identify the elements of sound project management and apply the generally recognized project management practices to successfully manage or participate in projects. You will: Identify the key processes and requirements of project management. Initiate a project. Use a Predictive approach to plan for time and cost. Use an Adaptive approach to plan a project. Plan for project risks, communication, and change control. Manage the execution of a project. Close a project. This course teaches the fundamentals of project management and its underlying structure and elements, including project phases, project life cycles, stakeholders, and areas of expertise. These, coupled with the ability to identify the project management processes that are recognized industry wide as good practice, will help you to apply effective project management techniques to improve the efficiency of your projects and ensure their success. This course is designed to cover various project management approaches and is not intended to focus on a single methodology or framework. Lesson 1: Getting Started with Project Management Topic A: Identify the Characteristics of a Project Topic B: Identify the Project Approach Topic C: Identify the Leadership Roles in a Project Lesson 2: Initiating a Project Topic A: Create a Project Scope/Vision Statement Topic B: Identify the Essential Skills for a Project Team Topic C: Identify the Risks to a Project Lesson 3: Planning for Time and Cost in Predictive Projects Topic A: Create a WBS Topic B: Create a Project Schedule Topic C: Determine Project Costs Lesson 4: Planning for Adaptive Projects Topic A: Create Epics and User Stories Topic B: Build a Product Backlog Topic C: Create an Initial Release Plan Topic D: Conduct a Sprint Planning Meeting Topic E: Replan the Project Lesson 5: Planning for Project Risks, Communication, and Change Control Topic A: Analyze the Risks to a Project Topic B: Create a Communication Plan Topic C: Develop a Change Control Plan Lesson 6: Managing a Project Topic A: Begin Project Work Topic B: Execute the Project Plan Topic C: Track the Progress of an Adaptive Project Topic D: Report Project Performance Topic E: Implement Change Control Lesson 7: Closing a Project Topic A: Close a Sprint, a Release, or an Adaptive Project Topic B: Close a Predictive Project Topic C: Create a Final Report

Duration 2 Days 12 CPD hours This course is intended for Architects and specialists who are involved in a form of Enterprise Architecture, such as; business, application, data, technology, management and security architecture. Managers in the role of Project-, Operational- and Senior-Manager. Overview The first day of the TOGAF Foundation Level 1 training will focus on the concepts of Enterprise Architecture and its position in order to extensively consider the concepts of TOGAF and the relationship between them. The second day is devoted to going through an architectural process based on a case, in which the concepts discussed the previous day are reviewed again, but this time in context. In this way you obtain a clear and clear picture of TOGAF and the mostly theoretical and abstract material is presented in a digestible way. The TOGAF Foundation level 1 training will focus on the concepts of Enterprise Architecture and its position in order to extensively consider the concepts of TOGAF and the relationship between them. Part 1 Introduction Introduction Enterprise Architecture Position Enterprise Architecture Introduction TOGAF Overview of TOGAF concepts Architecture Capability Framework Architecture Development Method (ADM) Guidelines & Techniques Enterprise Continuity & Tools Reference Models Architecture Content Framework preliminary phase Phase A Architecture Vision' Phase B Business Architecture Phase C Information Systems Architecture Phase D Technology Architecture Phase E: Opportunities & Solutions Phase F: Migration Planning Phase G: Implementation Governance Phase H: Architecture Change Management Architects and specialists who are involved in a form of Enterprise Architecture, such as; business, application, data, technology, management and security architecture. Managers in the role of Project-, Operational- and Senior-Manager. Part 2 TOGAF Concepts Part 3 Going through a TOGAF Cycle Additional course details: Nexus Humans TOGAF 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 TOGAF 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 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 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 5 Days 30 CPD hours This course is intended for This course is intended for Ethical Hackers, Penetration Testers, Network Server Administrators, Firewall Administrators, Security Testers, System Administrators and Risk Assessment Professionals, Cybersecurity Forensic Analyst, Cyberthreat Analyst, Cloud Security, Analyst Information Security Consultant, Application Security Analyst, Cybersecurity Assurance Engineer, Security Operations Center (SOC) Analyst, Technical Operations Network Engineer, Information Security Engineer, Network Security Penetration Tester, Network Security Engineer, Information Security Architect. Overview Upon successful completion of this course, students will master their Penetration Testing skills, perform the repeatable methodology, become committed to the code of ethics, and present analyzed results through structured reports. The main course outcomes include: 100% mapped with the NICE framework. Maps to the job role of a Penetration Tester and security analyst, based on major job portals. 100% methodology-based Penetration Testing program. Provides strong reporting writing guidance. Blended with both manual and automated Penetration Testing approaches. Gives a real-world experience through an Advanced Penetration Testing Range. Designed based on the most common Penetration Testing services offered by the best service providers in the market. Offers standard templates that can help during a Penetration test. This is a multidisciplinary course with extensive hands-on training in a wide range of crucial skills, including advanced Windows attacks, Internet of Things (IoT) and Operational Technology (OT) systems, filtered network bypass techniques, exploit writing, single and double pivoting, advanced privilege escalation, and binary exploitation. Course Outline Introduction to Penetration Testing Penetration Testing Scoping and Engagement Open Source Intelligence (OSINT) Social Engineering Penetration Testing Network Penetration Testing ? External Network Penetration Testing ? Internal Network Penetration Testing - Perimeter Devices Web Application Penetration Testing Wireless Penetration Testing IoT Penetration Testing OT/SCADA Penetration Testing Cloud Penetration Testing Binary Analysis and Exploitation Report Writing and Post-Testing Actions Additional course details: Nexus Humans Certified Penetration Testing Professional (CPENT) 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 Penetration Testing Professional (CPENT) 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 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures