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Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: System Engineers System Administrators Architects Channel Partners Overview Upon completing this course, the learner should be able to meet these overall objectives: Describe Cisco Webex Teams Comprehend Cisco Webex Meetings Understand Cisco Webex Messaging Recognize Cisco Webex Teams Calling Appreciate Cisco Webex Teams Care Explain Cisco Webex teams Management and Administration Describe Cisco Webex Teams Service Availability, Ordering, and Support Understand Cisco Webex Teams Board Cisco Webex Teams is an app-centric, cloud-based service that provides a complete collaboration suite for teams to create, meet, message, call, care, whiteboard, and share, regardless of whether they?re together or apart?in one continuous work stream before, during, and after meetings. Being able to understand how this works and what the features are is the key focus of this 2-day course. NterOne?s Webex Teams Collaboration Workshop should be taken by students who have a working understanding of Cisco Collaboration Products. This Cisco Webex Teams Workshop enables learners to describe Cisco Webex Teams, comprehend Cisco Webex Teams Meetings, and grasp Cisco Webex Teams Messaging, among much more. This workshop is intended to be taken by system engineers, system administrators, architects, and channel partners. Learn more below. Cisco Webex Teams Overview What is Cisco Webex Teams Webex Teams Delivery Webex Teams Security Webex Teams Collaboration Webex Teams API Meetings Messaging Calling Cisco Webex Teams Spaces Cisco Webex Teams Hybrid Services Cisco Webex Teams Benefits Cisco Webex Team Meetings Basic Meetings Instant Messages Schedule Meetings Cisco Webex Teams Advanced Meetings Overview Webex Integration Personal Room Cisco Webex Teams Desk and Room Devices and the Cisco Smart Board Cisco Webex Teams Conferencing Cisco Webex Teams Board and Room Device Setup and Use Three ways to enable pairing Cisco WebEx Teams Messaging Cisco Webex Teams Messaging Overview Key Benefits of Cisco Webex Teams Messaging Cisco Webex Teams Messaging Features Cisco Webex teams (feature in the app) Use Cases Cisco Webex Teams Board Advanced Interactive Whiteboard No Network, Bluetooth needed Microphones Voice-Tracking Technology Webex Teams Board Application Suite Camera Webex Teams APIs Any Board, anywhere Messaging Setup Cisco Webex Teams Calling Overview Traditional Calling Features in Cisco Webex Teams Features and Benefits of Cisco Webex Teams Calling Benefits of Mobility and Collaboration Features of Cisco Webex Teams PSTN Calling Phone Support Use Cases Cisco Webex Teams Care Overview Embedding Experience Cisco Webex Teams Management and Administration Overview Cisco Cloud Collaboration Management Features and Benefits Management Security Portal Cisco Webex Teams Service Availability, Ordering, and Support Country Availability Language Support Ordering Support Cisco Capital

Duration 3 Days 18 CPD hours There are good reasons Adobe Premiere Pro is such a popular post-production video editing software application. It excels for a wide variety of uses; tapeless and DSLR footage; cross-platforms, open workflows for easy collaboration, powerful metadata features for greater editing and production efficiency, plus real-time 3D editing and Virtual Reality. This four-day course is ideal for beginners, as well as Final Cut Pro and Avid editors - or for anyone who is involved in a content creation environment. Adobe Premiere Interface Performing Nonlinear Editing in Premiere Pro Looking at the Standard Digital Video Workflow Enhancing the Workflow with Premiere Pro Expanding the Workflow Incorporating other Components into the Editing Workflow Adobe Creative Cloud Video Workflow Touring the Premiere Pro Workspace Looking at the Workspace Layout Customizing the Workspace Introducing Preferences Keyboard Shortcuts Moving, Backing up, and Syncing User Settings Setting up a Project Setting up a Sequence Setting up the Timeline Importing Media Importing Assets Working with ingest Options and Proxy Media Working with the Media Browser Importing Images Using Adobe Stock Customizing the Media Cache Recording a Voice-over Organizing Media Project Panel Working with Bins Monitoring Footage Modifying Clips Mastering the Essentials of Video Editing Using the Source Monitor Navigating the Timeline Essential Editing Commands Working with Clips and Markers Using Program Monitor Controls Setting the Playback Resolution Playing back VR Video Using Markers Using Sync Lock and Track Lock Finding Gaps in the Timeline Selecting Clips Moving Clips Extracting and Deleting Segments Adding Transitions Understanding Transitions Edit points and Handles Adding Video Transitions Using A/B mode to Fine-tune a Transition Adding Audio Transitions Performing Advanced Editing Techniques Performing Three or Four-point Editing Changing Playback Speed Replacing Clips and Footage Nesting Sequences Performing Regular Trimming Performing Advanced Trimming Trimming in the Program Monitor Putting Clips in Motion Adjusting the Motion Effect Changing Clip Position, Size, and Rotation Working with Keyframe Interpolation Using other Motion-related Effects Multi-camera Editing Following the Multi-camera Process Creating a Multi-camera Sequence Switching Multiple Cameras Finalizing Multi-camera Editing Editing and Mixing Audio Setting up the Interface to Work with Audio Examining Audio Characteristics Creating a Voice-over Scratch Track Adjusting Audio Volume Normalizing Audio Creating a Split Edit Adjusting Audio Levels for a Clip Sweetening Sound Sweetening Sound with Audio Effects Adjusting EQ Cleaning up Noisy Audio Fading Audio with Essential Sounds Adding Video Effects Working with Effects Master Clip Effects Masking and Tracking Visual Effects Keyframing Effects Effect Presets Frequently Used Effects Improving Clips with Color Correction and Grading Following a Color-oriented Workflow An overview of Color-oriented Effects Fixing Exposure Problems Fixing Color Balance Using Special Color Effects Creating a Look Exploring Compositing Techniques Understanding an Alpha Channel Making Compositing Part of Your Projects Working with the Opacity Effect Working with Alpha-channel Transparencies Color Keying a Green Screen Shot Using Mattes Creating Titles An Overview of Shapes & Type Loading in Graphics Using the Essentials Graphic Panel Browsing Templates Saving Templates Mastering Video Typography Essentials Creating Titles Stylizing Text Making Text Roll and Crawl Introducing Captions Managing Your Projects Using the File menu Using the Project Manager Performing the Final Project Management Steps Importing Projects or Sequences Managing Collaboration Using the Libraries Panel Managing Your Hard Drives Exporting Frames, Clips, and Sequences Overview of Export Options Exporting Single Frames Exporting a Master Copy Working with Adobe Media Encoder Uploading to Social Media Exchanging with Other Editing Applications Additional course details: Nexus Humans Adobe Premiere Pro 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 Adobe Premiere Pro 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-2) 201 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: measure hardware resource and network bandwidth, identify and troubleshoot resource problems monitor resource usage to predict future resource needs utilise kernel components that are necessary to specific hardware, hardware drivers, system resources and requirements properly configure a kernel to include or disable specific features of the Linux kernel as necessary manage and/or query a 2.6.x, 3.x or 4.x kernel and its loadable modules query and modify the behaviour of system services at various targets / run levels properly manipulate a Linux system during both the boot process and during recovery mode properly configure and navigate the standard Linux filesystem configure automount filesystems using AutoFS configure and implement software RAID configure kernel options to support various drives create and remove logical volumes, volume groups, and physical volumes use system tools to back up important system data. This course prepares students to take the 201 exam of the LPI level 2 certification. To gain LPIC-2 certification, an individual should have an active LPIC-1 certification. Capacity Planning Measure and Troubleshoot Resource Usage Predict Future Resource Needs Linux Kernel Kernel components Compiling a Linux kernel Kernel runtime management and troubleshooting System Startup Customising system startup System recovery Alternate Bootloaders Filesystem and Devices Filesystem and Devices Maintaining a Linux filesystem Creating and configuring filesystem options Advanced Storage Device Administration Configuring RAID Adjusting Storage Device Access Logical Volume Manager Networking Configuration Basic networking configuration Advanced Network Configuration Troubleshooting network issue System Maintenance Make and install programs from source Backup operations Notify users on system-related issues

Duration 2 Days 12 CPD hours This course is intended for Anyone working within leadership, or aspiring to transition into leadership, who would like to professionalize their skills and competencies will benefit from this course. Overview Learn to thrive in a volatile and changing world Build employee engagement in a precarious work environment Leverage fundamental values to build a better workplace Develop a culture of change Plan a path to the future Change is both inevitable and necessary, yet potentially disruptive. Leading change efforts requires building credibility, communicating effectively, developing trust, making decisions, and demonstrating confidence. This course will help you to cultivate the leadership skills that you need to influence others and guide them through times of change. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. Building a Sustainable Organization Seeing the Need for a New Type of Leadership Choosing to Be an Authentic Leader Rebuilding Confidence Decentralizing Power 2. Values and Engagement in a New Reality Engaging in the 21st Century Measuring Employee Engagement Developing Highly Engaged Employees Tapping into Discretionary Energy Embracing Differences Building a Sustainable Organization Integrating Engagement into Your Culture Building a Passion for Excellence Inspiring Trust Reaping the Benefits of Trust 3. Making Change the New Normal Facing Complexities Navigating Fluid Environments Harnessing the Power of Change Applying Intuition Creating Profound and Sustainable Change Understanding the Phases of Change Engaging Stakeholders Leading Through the Transition 4. Planning for the Road Ahead Managing Issues of the 21st Century Working Within the New Cultural Reality Avoiding Traps and Pitfalls Challenging How Teams Are Managed Building a Vision Managing with Purpose

Duration 2 Days 12 CPD hours This course is intended for This in an Introductory and beyond level course is geared for experienced Java developers seeking to be proficient in Apache Kafka. Attendees should be experienced developers who are comfortable with Java, and have reasonable experience working with databases. Overview Working in a hands-on learning environment, students will explore Overview of Streaming technologies Kafka concepts and architecture Programming using Kafka API Kafka Streams Monitoring Kafka Tuning / Troubleshooting Kafka Apache Kafka is a real-time data pipeline processor. It high-scalability, fault tolerance, execution speed, and fluid integrations are some of the key hallmarks that make it an integral part of many Enterprise Data architectures. In this lab intensive two day course, students will learn how to use Kafka to build streaming solutions. Introduction to Streaming Systems Fast data Streaming architecture Lambda architecture Message queues Streaming processors Introduction to Kafka Architecture Comparing Kafka with other queue systems (JMS / MQ) Kaka concepts : Messages, Topics, Partitions, Brokers, Producers, commit logs Kafka & Zookeeper Producing messages Consuming messages (Consumers, Consumer Groups) Message retention Scaling Kafka Programming With Kafka Configuration parameters Producer API (Sending messages to Kafka) Consumer API (consuming messages from Kafka) Commits , Offsets, Seeking Schema with Avro Kafka Streams Streams overview and architecture Streams use cases and comparison with other platforms Learning Kafka Streaming concepts (KStream, KTable, KStore) KStreaming operations (transformations, filters, joins, aggregations) Administering Kafka Hardware / Software requirements Deploying Kafka Configuration of brokers / topics / partitions / producers / consumers Security: How secure Kafka cluster, and secure client communications (SASL, Kerberos) Monitoring : monitoring tools Capacity Planning : estimating usage and demand Trouble shooting : failure scenarios and recovery Monitoring and Instrumenting Kafka Monitoring Kafka Instrumenting with Metrics library Instrument Kafka applications and monitor their performance

Duration 2 Days 12 CPD hours This course is intended for DevOps Engineers Software Developers Telecommunications Professionals Architects Quality Assurance & Site Reliability Professionals Overview Automate basic freestyle projects Jenkins Pipelines and Groovy Programming Software lifecycle management with Jenkins Popular plugins Scaling options Integrating Jenkins with Git and GitHub (as well as other Software Control Management platforms) Triggering Jenkins with Webhooks Deploying into Docker and Kubernetes CI / CD with Jenkins This course covers the fundamentals necessary to deploy and utilize the Jenkins automation server. Jenkins enables users to immediately begin automating both their individual and collaborative workflows. Jenkins is a proven solution for a wide variety of tasks ranging from the helpful automation of scripts (such as Python and Ansible) to creating complex pipelines that govern the technical parts of not only Continuous Integration, but Continuous Delivery (CI/CD) as well. Jenkins is free, open source, and easily controlled with a simple web- based UI- it can be expanded by third party plugins and is deployable on nearly any on-site (Linux, Windows and Mac) or cloud platform. Overview of Jenkins Overview of Continuous Integration and Continuous Deployment (CI/CD) Understanding Git and GitHub Git Branching Methods for Installing Jenkins Jenkins Dashboard Jenkins Jobs Getting Started with Freestyle Jobs Triggering builds HTTP Web Hooks Augmenting Jenkins with Plugins Overview of Docker and Dockerfile for Building and Launching Images Pipeline Jobs for Continuous Integration and Continuous Deployment Pipeline Build Stage Pipeline Testing Stage Post Build actions SMTP and Other Notifications Programming Pipelines with Groovy More Groovy Programming Essentials Extracting Jenkins Data Analytics to Support Project Management Troubleshooting Failures Auditing stdout and stderr with Jenkins Jenkins REST API Controlling Jenkins API with Python Jenkins Security Scaling Jenkins Jenkins CLI Building a Kubernetes Cluster and Deploying Jenkins How to start successfully using Jenkins to automate aspects of your job the moment this course ends.

This course is designed specifically to help improve your collection rates. The UK's leading trainer in the subject uses practical examples and case studies to show how to use debt collection techniques that really work. This programme will help participants to: Understand debtors and communicate with them effectively Improve their telephone and writing skills Appreciate the key legal issues Track down 'gone-aways' Improve their collection rates 1 Giving credit and collecting debts The benefits when you get it right The cost of getting it wrong 2 Analysing yourself The importance of making the right 'first impression' Assessing your own personal communication style and how this affects your results How do you (or might you) look in the debtor's eyes? What would you like to change? 3 Analysing your debtors Types of debtorThe delaying debtorThe genuine debtorThe cashflow or hardship problem debtorThe ones who never intended to pay Spot the most common reasons and excuses for non-payment - and learn how to deal with them 4 Understanding debt recovery and the law Data protection issues County Court suing enforcement methods Human rights and debt recovery Retention of title matters 5 Telephone skills for debt recovery A 7-point plan which works every time Learning by example: listening to and analysing some pre-recorded (or live) collection callsWhat was done well?What should have been done differently?Did the collector recognise opportunities?Did the collector create opportunities where seemingly none existed?Did the collector negotiate well or not at all? 6 Writing skills for debt recovery Key phrases to avoid What to include A sample letter which gets results in over 90% of cases 7 Tracking down the 'gone aways' A unique debtor-tracing plan Why spend money on external tracers when you can find those 'gone away' debtors for yourself? 8 Course review The traps to avoid Key personal learning points

Duration 4 Days 24 CPD hours This course is intended for #NAME? Overview At the completion of this course, students already familiar with the RHCT/RHCSA administration skills will have exposure to all competencies tested by the RHCSA and RHCE exams. If you are an experienced Linux© system administrator and hold a Red Hat Certified System Administrator (RHCSA©) credential or possess equivalent skills and want to broaden your ability to administer Linux systems at an enterprise level, this is the perfect course.The course will empower you to deploy and manage network servers running caching domain name service (DNS), MariaDB, Apache HTTPD, Postfix SMTP null clients, network file sharing with network file system (NFS) and server message block (SMB), iSCSI initiators and targets, advanced networking and firewall configurations, and to use bash shell scripting to help automate, configure, and troubleshoot your system. Through lectures and hands-on labs, you will be exposed to all competencies covered by the Red Hat Certified Engineer (RHCE) exam (EX300), supplementing what you have already learned in earning your RHCSA credential.This course is based on Red Hat© Enterprise Linux 7. Getting Started with the Classroom Environment Given a virtualized environment, begin to administrate multiple systems using prerequisite skills Enhance User Security Configure system to use Kerberos to verify credentials and grant privileges via sudo Bash Scripting and Tools Automate system administration tasks utilizing Bash scripts and text-based tools File Security with GnuPG Secure files with GnuPG. Software Management Use yum plugins to manage packages and understand the design of packages to build a simple package Network Monitoring Profile running services then capture and analyze network traffic Route Network Traffic Configure system to route traffic and customize network parameters with sysctl Secure Network Traffic Secure network traffic through SSH port forwarding and iptables filtering/network address translation (NAT) NTP Server Configuration Configure an NTP server Filesystems and Logs Manage local file system integrity, monitor system over time, and system logging Centralized and Secure Storage Access centralized storage (iSCSI) and encrypt filesystems SSL-encapsulated Web Services Understand SSL certificates and deploy an SSL encapsulated web service Web Server Additional Configuration Configure web server with virtual hosts, dynamic content, and authenticated directories Basic SMTP Configuration Configure an SMTP server for basic operation (null client, receiving mail, smarthost relay) Caching-Only DNS Server Understand DNS resource records and configure a caching-only name server File Sharing with NFS Configure file sharing between hosts with NFS File Sharing with CIFS Configure file and print sharing between hosts with CIFS File Sharing with FTP Configure file sharing with anonymous FTP Troubleshooting Boot Process Understand the boot process and recover unbootable systems with rescue mode

Duration 2 Days 12 CPD hours This course is intended for It is appropriate for Managers, Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, managers; supervisors, team leaders, and process operators. Overview Describe business process improvement (BPI) business drivers.Plan, manage and close requirements for a Business Process Improvement project Understand the essential elements of a successful BPI initiative.Identify candidate business processes for improvement.Understand the essential elements of a successful BPI initiative.Identify candidate business processes for improvement.Apply a methodology to business process improvement projects. This 2-day course aims at introducing its attendees to the core values, principles, and practices of Business Process Improvement. Introduction - A Business Process Improvement (BPI) Overview Why are we here today? What is BPI? Benefits of BPI Specific challenges/obstacles and successes Process improvement examples: Industry specific examples Famous debacles to avoid and successes to emulate Your role in helping to identify problems Overview of the Joiner 7-Step Method What is the Joiner 7-Step Method? Walkthrough of the Joiner 7-Step Method Template: Introduce and review Process Improvement Template Case Study Exercise: Read and discuss introduction to the Case Study Step #1: Initiate the Project Types of business problems typically encountered at insurance companies and banks How to recognize a business-related problem Identifying the gaps (delta between current and future states) Ownership of the project and the business problem Defining measurable success criteria Case Study Exercise: Complete the Problem Statement section (Step #1) of the template Step #2: Define Current Situation What are symptoms of a problem? Looking for symptoms of the problem Performing Stakeholder Analysis Technique: View a RACI Matrix Defining the impacts caused by the problem Technique: Business Process Modeling (As-Is) Understand how to draw an As-Is Business Process Model Case Study Exercise: Complete the Define Current Situation section (Step #2) of the template Step #3: Identify Root Causes What are root causes? Performing Root Cause Analysis Technique: Fishbone Diagram using the cafeteria example Case Study Exercise: Discuss a Fishbone Diagram Technique: Pareto Chart (discuss and show example) Case Study Exercise: Complete the Identify Root Causes section (Step #3) of the template Step #4: Develop Solutions Identifying options for problem resolution Avoid jumping to conclusions Technique: Brainstorming Case Study Exercise: Conduct a Brainstorming Session Recognizing pros and cons for each option Technique: Kempner-Tregoe (?Must-Have? vs. ?Nice-to-Have?) Case Study Exercise: Determine best solution using a ?simple? Kempner-Tregoe model Case Study Exercise: Complete the Develop Solutions section (Step #4) of the template Step #5: Define Measurable Results Prototyping the solution Technique: Business Process Modeling (To-Be) Measuring results against the success criteria (Step #1) Case Study Exercise: Review changes to an As-Is Business Process Model Case Study Exercise: Complete the Define Measurable Results section (Step #5) of the template Step #6: Standardize Process Defining how the process will be documented Plan and understand organizational readiness Discuss how employees are empowered to identify and act upon their ideas Identifying follow-up needs (i.e., training) for the staff that will be impacted Technique: Communication Plan Case Study Exercise: Complete the Standardize Process section (Step #6) of the template Step #7: Determine Future Plans Monitoring the process for Continuous Process Improvement (The ?Plan-Do-Check-Act? Cycle) Understand how to sustain the improvements made by the Joiner 7-Step Method Technique: PDCA form Case Study Exercise: Complete the Determine Future Plans section (Step #7) of the template Going Forward with a Plan of Action Identifying process problems in your organization Individual Exercise: Name three (3) possible areas for improvement Prioritize and define the next steps Individual Exercise: Using a new template complete Step 2 & Step 3 for one possible area for improvement you have identified

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