27742 TEC courses

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 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 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 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

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: System administrators Technical solutions architects Systems integrators Channel partners Value-added resellers Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview Upon completing this course, the learner will be able to meet these overall objectives: Understand Cisco UCS Management in Cisco Intersight Describe the Cisco UCS Platform including Cisco X-Series Understand Cisco Intersight Workload Optimizer Explain Kubernetes Orchestration with Cisco Intersight Kubernetes Service (IKS) and Cisco UCS Perform Automation Using Cisco Intersight Create Intersight Elements Using Terraform Manage Intersight Using the API Cisco Intersight Overview (DCISO) is a 3-day instructor led course that builds your experience with the administration of Cisco Unified Computing System (UCS) X-Series servers, including using Cisco Intersight for UCS management. This course covers architecture, configuration, and operation of Cisco Intersight©, and is designed to serve the needs of engineers seeking to understand the capabilities of Cisco Intersight for managing data centers from a single management platform.This course will help you:Use SaaS or on-prem version of Cisco Intersight to enable IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of toolsGain hands-on experience using Cisco IntersightUnderstand the X-Series, B-Series, and C-Series product line similarities and differencesDescribe Cisco Intersight and how it can be used to manage UCS and Cisco Hyperflex©Understand the process for upgrading firmware with Cisco IntersightAdministering server profiles, pools, and policies with Cisco IntersightDescribe how to get started with Cisco Intersight programmability Course Outline Describing Cisco UCS Management in Cisco Intersight Describing the Cisco UCS Platform Describing Cisco Intersight Workloads Describing Automation Options Using Cisco Intersight Additional course details: Nexus Humans Cisco Intersight Overview (DCISO) 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 Cisco Intersight Overview (DCISO) 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 5 Days 30 CPD hours This course is intended for This class is designed for persons who are new to the z/OS platforms but have a technical background in information technology. It is intended for those who require an in-depth understanding of z/OS. Overview Describe the system initialization process of the z/OS operating systemsState the differences between an address space, data space, and hyperspaceDescribe the process of translating a virtual address to a real addressExplain the difference between paging and swappingDefine a z/OS taskDescribe dispatching, interrupt processing, supervisor calls, cross memory services, and serializationDescribe the purpose of the Job Entry Subsystem (JES)Illustrate the flow of a job through the z/OS environmentDescribe the allocation process for data sets in the z/OS environmentsIllustrate how an I/O request is processed in a z/OS environmentDescribe how workload management is accomplished in a z/OS environmentExplain the z/OS recovery processes and list available Problem Determination ToolsDescribe z/OS storage management conceptsDescribe the UNIX System Services functions provided in the z/OS environmentsExplain the network topologies and protocol support provided in z/OSDescribe system security and network security for a z/OS environmentCreate a high-level plan for the installation and configuration of a z/OS environment This classroom course introduces the base elements, optional features, and servers that are provided in z/OS. It focuses on the system service facilities that are provided by the z/OS Base Control Program (BCP). Day 1 Unit 1: z/OS overview Including welcome and course overview Unit 2: Storage management Day 2 Unit 3: Managing work Unit 4: Input/output processing Day 3 Unit 4: Input/output processing (continued) Unit 5: Data management Unit 6: Job management Day 4 Unit 7: IPL and system initialization Unit 8: Termination and recovery analysis Unit 9: Installing and configuring Day 5 Unit 10: Communicating Unit 11: Security in z/OS Including end-of-course summary Additional course details: Nexus Humans ES15 IBM z/OS Facilities 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 ES15 IBM z/OS Facilities 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 Security Engineers Network Engineers Support staff Overview This course is intended to provide an understanding of Palo Alto Networks Next-Generation firewall technologies enable the student to perform a basic installation of Palo Alto Networks Next-Generation firewalls. Upon completion of this course, students will be able to: Explain the features and advantages of the Palo Alto Networks next-generation firewall architecture Understand the capabilities of App-ID, Content-ID, and User-ID Perform the basic configuration of the firewall including: Interfaces and virtual routers NAT Policies Security zones Objects Security policies Content security profiles View logs and basic reports This course was formerly named Palo Alto Networks Foundations of Next Generation Firewalls (EDU-150). ** Our foundation classes are just introductory trainings, NOT a full technical training. Your network has expanded beyond your organization\'s boundaries. Cloud locations and remote users (often using personal devices) have \'distributed\' the surface you need to both enable and protect.At the same time, the motivations of attackers and their sophistication have continued to evolve.Palo Alto Networks' next-generation firewalls are all based on a consistent Single-Pass Architecture, enabling security capability that is unique in the industry. This architecture is implemented in a portfolio of both physical and virtual appliances, designed to cover a range of performance and use case requirements.Features and management are consistent across the portfolio. Integration with GlobalProtect? mobile security service extends policy-based security to mobile devices (whether on-premises or remote). Integration with our threat intelligence services keeps information up to date for the firewall (e.g., URL categories, threat signatures). WildFire? cloud-based malware analysis environment integration supports a rapid \'feedback loop\' that enables the firewall to stop advanced threats throughout the attack lifecycle. Course Outline Module 0: Introduction Module 1: Platforms & Architecture Module 2: Getting Started Module 3: Basic Administration Module 4: Connectivity Module 5: Security Module 6: Logging & Reporting Additional course details: Nexus Humans Palo Alto Networks : Strata Foundations 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 Palo Alto Networks : Strata Foundations 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 business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

Duration 3 Days 18 CPD hours This course is intended for Technology Consultant System Administrator Application Consultant Overview This course will prepare you to: Set up SLT configurations, replicate data into different targets (such as SAP HANA, SAP BW or Central Finance) and monitor the data replication. In this course, you will learn how to use the trigger based real time data replication technology of the SAP LT Replication Server (SLT). SAP Landscape Replication Server Overview Explaining Positioning and Key Concepts Identifying Use Cases Understanding SLT as Part of the DMIS Product Family SAP Landscape Transformation Server Introduction Understanding the Architectural Concept Explaining the Landscape Strategy and Sizing Aspects Outlining the SLT Installation Procedure Replication to SAP HANA Setting Up Data Replication Executing Data Replication Understanding Advanced Replication Settings Outlining Operations and Monitoring Describing SLT Handling in Special Cases Replication to SAP BW Providing a Scenario Overview Explaining Open Data Provisioning (ODP) Describing Table-Based Replication Comparing Table-Based Replication and ODP Replication to SAP Data Services Explaining SAP Data Services and Architecture Describing the Setup of Replication to SAP Data Services Replication to ABAP Systems Describing the Architecture for Replication into an ABAP System Outlining the Setup for Replication into an ABAP System Replication to Non-SAP Databases Describing the Architecture for Replication to Non-SAP Databases Understanding the Setup of ABAP to Non-ABAP Replication Replication to Central Finance Describing the Architecture for Replication to Central Finance Understanding the Setup and Configuration of Replication to Central Finance SAP Landscape Transformation Replication Server Summary Providing a Summary of the SAP Landscape Transformation Replication Server SAP Landscape Transformation Replication Server 3.0 and Recent Updates Outlining SAP Landscape Transformation Replication Server 3 Updates Additional course details: Nexus Humans SAP Real-time Replication with SAP LT Replication Server (SLT100) 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 SAP Real-time Replication with SAP LT Replication Server (SLT100) 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.