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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 1 Days 6 CPD hours This course is intended for IT professionals interested in understanding the capabilities of the MDS 9000 Series, including: Data center architects Data center engineers IT directors IT managers Network architects Network engineers Solutions architects Systems engineers Overview After taking this course, you should be able to: Describe Cisco MDS SAN features and advantages Define fixed and modular platforms Understand Cisco MDS architecture and high-availability mechanisms Identify technologies used in modern SANs Describe SAN management with Cisco Data Center Network Manager (DCNM) Explain key value-add features that distinguish Cisco MDS switches The Cisco MDS 9000 Series Switches Overview (DCMDSO) v1.5 course gives you a technical overview of how Cisco Multilayer Director Switch (MDS) 9000 Series, can be used to build highly available and scalable storage networks with advanced security and unified management. The course is for technical decision makers and IT professionals who architect, implement, and manage data center Storage Area Network (SAN) environments. In this course, you?ll learn about key capabilities of the MDS 9000 Series, including platforms, architecture, software, management, and key features that contribute to performance, high availability, flexibility, and operational simplicity of storage environments. Define Cisco MDS Platform Overview Introduction and Advantages of Cisco MDS Fixed Platforms Modular Platforms Describe Cisco MDS Architecture Store-and-Forward Architecture High Availability Redundancy Explore Cisco MDS Key Features Virtual Storage Area Networks Port Channels Slow Drain Device and Path Analysis Using Congestion Control Mechanisms Cisco DCNM SAN Insights for SAN Analytics Zoning Smart Zoning Other Differentiating Features Examine Cisco MDS Management Cisco Data Center Network Manager Additional course details: Nexus Humans Cisco MDS 9000 Series Switches Overview v1.5 (DCMDSO) 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 MDS 9000 Series Switches Overview v1.5 (DCMDSO) 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 System administrators System integrators Overview By the end of the course, you should be able to meet the following objectives: Introduce troubleshooting principles and procedures Practice Linux commands that aid in the troubleshooting process Use command-line interfaces, log files, and the vSphere Client to diagnose and resolve problems in the vSphere environment Explain the purpose of key vSphere log files Identify networking problems based on reported symptoms, validate and troubleshoot the reported problem, identify the root cause and implement the appropriate resolution Analyze storage failure scenarios using a logical troubleshooting methodology, identify the root cause, and apply the appropriate resolution to resolve the problem Troubleshoot vSphere cluster failure scenarios and analyze possible causes Diagnose common VMware vSphere High Availability problems and provide solutions Identify and validate VMware ESXi™ host and VMware vCenter Server problems, analyze failure scenarios, and select the correct resolution Troubleshoot virtual machine problems, including migration problems, snapshot problems, and connection problems Troubleshoot performance problems with vSphere components This five-day, hands-on training course provides you with the advanced knowledge, skills, and abilities to achieve competence in troubleshooting the VMware vSphere© 7.x environment. This workshop increases your skill and competence in using the command-line interface, VMware vSphere© Client?, log files, and other tools to analyze and solve problems Course Introduction Introductions and course logistics Course objectives Introduction to Troubleshooting Define the scope of troubleshooting Use a structured approach to solve configuration and operational problems Apply a troubleshooting methodology to logically diagnose faults and improve troubleshooting efficiency Troubleshooting Tools Use command-line tools (such as Linux commands, vSphere CLI, ESXCLI) to identify and troubleshoot vSphere problems Identify important vSphere log files and interpret the log file contents Troubleshooting Virtual Networking Analyze and resolve standard switch and distributed switch problems Analyze virtual machine connectivity problems and fix them Examine common management network connectivity problems and restore configurations Troubleshooting Storage Troubleshoot and resolve storage (iSCSI, NFS, and VMware vSphere© VMFS) connectivity and configuration problems Analyze and resolve common VM snapshot problems Identify multipathing-related problems, including common causes of permanent device loss (PDL) and all paths down (APD) events and resolve these problems Troubleshooting vSphere Clusters Identify and recover from problems related to vSphere HA Analyze and resolve VMware vSphere© vMotion© configuration and operational problems Analyze and resolve common VMware vSphere© Distributed Resource Scheduler? problems Troubleshooting Virtual Machines Identify possible causes and resolve virtual machine power-on problems Troubleshoot virtual machine connection state problems Resolve problems seen during VMware Tools? installations Troubleshooting vCenter Server and ESXi Analyze and fix problems with vCenter Server services Analyze and fix vCenter Server database problems Examine ESXi host and vCenter Server failure scenarios and resolve the problems

Duration 3 Days 18 CPD hours This course is intended for This course is intended for the following technical professionals who need to use advanced features of fiber optics technology: System installers System integrators System administrators Network administrators Solutions designers Overview After taking this course, you should be able to: Perform the ONS 15454 MSTP node turn-up procedure Describe first generation mesh topologies Describe the Optical Channel Network Connection (OCHNC) prerequisite requirements for provisioning circuits in an ONS 15454 MSTP network Describe the ONS MSTP advanced protocols Describe the OCHNC circuit provisioning for Single Module (SM) Reconfigurable Optical Add-Drop Multiplexer (ROADM) rings Describe the Any-Rate Muxponder Crossponder (AR MXP/XP) cards Describe how the Pseudo Command Line can be used to configure muxponder cards Identify the advantages G.709 encapsulation brings to optical transponder cards Install and provision the Any Rate cards Describe the 100-Gbps and 200-Gbps cards Describe the NCS 2000 400-Gbps Xponder line card and how it is configured Describe the SM ROADM (SMR)-based configurations Describe the 10-Gbps transponder and muxponder cards List the 10GE_XP and GE_XP card options Describe ingress policing and basic egress queuing strategies, and implement the customer QoS scheme into the ONS 15454 crossponder network Identify the principles of Ethernet related to the operation of Cisco optical networking products Configure the 10GE_XP/XPE and GE_XP/XPE cards, install Layer 1 circuits, and read the performance counters for Layer 1 Gigabit Ethernet circuits Turn up an encrypted network and test to ensure that information being passed is secure Add a node to an existing DWDM ring Describe problems with interconnecting circuits between rings, the ONS 15454 MSTP 80-channel manual Multiring feature, and hardware components Describe the ONS 15454 MSTP Troubleshooting Guide The Cisco Optical Technology Advanced (OPT300) v2.0 course gives you the skills you need to deploy advanced features of the Cisco© Optical Networking Services (ONS) 15454 Multiservice Transport Platform (MSTP) and Cisco Network Convergence System (NCS) 2000 Series. In this course you?ll learn to how to use the Cisco Transport Planner Design Tool to create network topologies and advanced network topologies. You will learn how to use advanced Dense Wavelength Division Multiplexing (DWDM) features such as G.709 encapsulation, generic framing protocol G.7041, Layer 1 circuits, Quality of Service (QoS), crossponder networks using T1 over Ethernet, and encryption. Course Outline Cisco Transport Planner Design Tool First-Generation Mesh Topologies Ochnc In A Mesh Network Advanced Protocols Any Rate Muxponder And Crossponders 100-Gbps And 200-Gbps Transponders And Muxponders Cisco Ncs 2000 400-Gbps Xponder Line Card Cisco 10G Web Security Essentials (Wse) Network Encryption Card Adding A New Location With Cisco Transport Planner (Ctp) And Cisco Transport Controller (Ctc) Crossponders And Layer 1 Networks Crossponders And Layer 2 Networks Troubleshooting

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

We've all sat through far more bad presentations than good ones, but knowing what 'good' looks like is easier than successfully replicating it. Sales presentations are a performance and, as salespeople, fluffing our lines can cost us a lot more than hurt pride. Having discovered and understood the specific needs and burning issues our prospect has, then this course will help any salesperson avoid dropping the ball and instead wowing their prospects with a high-impact, tailored and compelling case for purchase. This course will help participants: Prepare mentally and physically for stand-up presentations Use voice modulation and bullet-pointing to demand attention Avoid boring their prospects Master the do's and don'ts of PowerPoint Deal more effectively with technical hitches and prospect's interruptions Use eye contact and engagement to avoid prospects 'tuning out' Deploy best practice essentials for presenting with colleagues Steer through the toughest Q&A 1 Preparing your presentation Mindset Knowing your objective(s) Vocal warm-up techniques Assembling pre-agreed benefits Time management Room set-up Technical preparation 2 How to open your presentation Vocal energy Summary and agreement of prospect's needs How to have posture and confidence Use of humour What to do with those dreaded hands Confident v non-confident body language 3 How to get and keep people's attention Bullet pointing Linking benefits to specific, stated needs Practical exercise - formulating and delivering tailored benefits Being selective with features Third party reinforcement and case studies 'Watering the garden' eye contact technique Practical exercise - participants practise 'sharing out' eye contact to audience How to handle a prospect's negative body language Handling interruptions 4 Presenting in groups Credentialing all participants Role delineation for group presentations Edifying other participants' messages - do's and don'ts How to maintain energy when not speaking Practical exercise - good and bad practice when not speaking Teamwork in Q&A sessions How to hand over professionally 5 PowerPoint do's and don'ts Use of visual aids Good and bad PowerPoint slides How to make PowerPoint work for you Classic PowerPoint errors Avoiding and handling technical problems Good and bad flipchart practice 6 Closing and / or achieving next action steps Power of summary Good Q&A practice Handling objections Practical exercise - handling objections on one's feet Creating consensus among prospect panel What to do when prospects disagree with each other When to trial close How to close on next action steps 7 Wrap-up Key learning points from each participant Action steps to be implemented on next presentations

Take your sales people from average to high performance. Motivate and develop experienced sales professionals with some new insights and learning. Applying NLP principles, techniques and models, this workshop will introduce the core attitudes and behaviours that differentiate the excellent sales person from the average one. The programme will help participants: Understand and adopt the mindset and beliefs needed for sales excellence Build rapport and connect with buyers at a deeper and more personal level Recognise some of the thinking and language patterns that make each individual unique Ask powerful questions to further understand the unique world of the individual and how they make decisions Apply tools and techniques to empathise with clients - seeing things from their perspectives Tailor their sales approach to the individual buyer's style, and talk in their language Influence with integrity and sell to organisations and individuals successfully 1 Introduction Aims and objectives of the programme Personal introductions and objectives Workshop overview 2 An introduction to NLP and sales excellence with NLP An overview of NLP and applying it to selling The pillars of NLP The NLP model of communication The difference that makes the difference 3 Building enhanced rapport Defining rapport and why it is important when selling Going beyond the initial small talk Building relationships with individual decision-makers Matching and mirroring Levels of rapport 4 Understanding the buyer's personal buying map How we take in, filter and process information How we judge others based on our own experiences of the world The different ways in which we communicate when selling Recognising and understanding the language and thinking patterns of others Adapting your sales communication style to different buyers 5 Making sense of the buying process How we filter information through our senses Understanding how we see, hear and experience the world Visual, auditory and kinaesthetic buyers Listening for key insights What different buyers want from you to help them to buy Applying sensory awareness to the sales process 6 Successful sales mindset The connection between thoughts and actions The sales beliefs of excellence Identifying negative thoughts and beliefs that are holding you back How to change your mindset Adopting the sales beliefs of excellence 7 Powerful questions Reviewing and honing your questioning skills Understanding the questions that great sales people ask Avoiding assumptions Clean language questions Getting to the bottom of it - precision questions Turbo-charging how you qualify 8 Influencing with integrity Understanding empathy Stepping into the buyer's shoes Speaking the buyer's language Tailoring your sales approach to the individual Match, pace, lead - how to take your buyer with you 9 Putting it all together Personal learning summary and action plans

Telephone selling can be a challenge. It can be a pressured environment and sales professionals need to be able to maintain peak performance in order to meet - and preferably exceed - their targets. This programme will help make it easier for them. The expert trainer covers the whole process, to help participants see it from their customer's perspective. The focus is on how to use a practical understanding of sales psychology, and of the nature of the telephone sales conversation, to help make it easier for customers to buy. This programme will give your team the skills to: This course will help participants: Understand why people buy - and how that makes it easier to sell Manage the sales process better Steer their sales calls to a more positive outcome Recognise - and respond to - customer buying signals Meet and overcome objections Choose the most appropriate techniques for closing with confidence Enhance their resilience Improve their communication skills on the telephone 1 Introduction Aims and objectives Overview Self-appraisal of current skills and development areas 2 The sales approach What selling means Why selling is like nature 3 The telephone as an instrument of communication Qualities of the telephone How telephone communication differs from face-to-face Advantages and drawbacks of the telephone How to optimise selling over the telephone Communication techniques to help you stand out from the crowd 4 Creating a relationship Professional telephone etiquette Building a rapport Connecting with the customer so that they feel you are on the same wavelength 5 The structure of a sales call Opening the call - creating a positive first impression Effective questioning to gather information and establish need Identifying and presenting the features and benefits of the product or service Matching the benefits to customers' needs Recognising and responding to buying signals Anticipating, meeting and overcoming objections Closing the sale and asking for the order - different closing techniques The importance of testimonials - how to obtain them and when to use them 6 Listening skills The challenges of accurate listening How to enhance listening skills Ensuring the customer feels heard and understood through empathetic listening 7 Shaping and using a script Developing a script to increase levels of confidence Leaving the door open 8 Managing the campaign Organisation and call planning Identifying your target market group Planning who and when to call Logging constructive information 9 Personal management The importance of persistence Is there a time to back off? Stamina - optimising energy levels Bouncing back 10 Practising the new information Pulling the details together Practising in a supportive environment 11 Action planning Personal learning summary and action plan

During the past several years, ESG has gained plenty of prominence throughout the corporate world as a growing number of organisations have started embracing its three pillars and setting up programmes targeting issues such as climate change, diversity, equity and inclusion, employee benefits, executive bonus structures, and more. Pressure from stakeholders, the upcoming generation of professionals and consumers, and society at large have made it a crucial part of any organisation’s strategy to look after their activities and performance in these areas. In many cases, these organisations’ growth, stability, and continuity as businesses are at stake. As part of this programme, you will pick up the ins and outs of ESG from a compliance and reporting perspective and be better prepared to help your organisation develop a sound, effective, and long-term strategy to tackle all ESG issues.