57530 Courses

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

This confidentially & effective record keeping training course is aimed at assisting staff to understand what is expected of them regarding confidentiality, maintaining accurate up to date records and documents.

The QA Level 2 Award in Fire Safety (RQF) qualification is ideal for businesses that have assigned personnel with specific fire safety responsibilities such as fire wardens or fire marshals in the workplace.

The main subject areas of the course are: Good practice in asbestos removal or remediation Asbestos Removal Control Plans Air sampling for asbestos Enclosures, clearance air monitoring and reporting

Duration 3 Days 18 CPD hours This course is intended for Security Engineers Network Engineers Overview Upon completion of this course, students will be able to: Deploy gateways using the Gaia web interface Configure a Security Policy Learn about managing and monitoring a secure network Upgrade and configure a Security Gateway to implement a virtual private network for both internal and external, remote users The growing frequency and sophistication of security threats makes protecting your organization more difficult every year. Check Point?s integrated products provide end-to-end security from the enterprise to the cloud to your mobile worker?s personal devices. They prevent and mitigate cyberattacks and limit the data theft that often results from these threats. Introduction to Check Point TechnologyDeployment PlatformsIntroduction to the Security PolicyMonitoring Traffic & ConnectionsNetwork Address TranslationUsing SmartUpdateUser Management & AuthenticationIdentity AwarenessIntroduction to Check Point VPNsSmartLog

Duration 3 Days 18 CPD hours This course is intended for Security Engineers Network Engineers Overview Upon completion of this course, students will be able to: Deploy gateways using the Gaia web interface Configure a Security Policy Learn about managing and monitoring a secure network Upgrade and configure a Security Gateway to implement a virtual private network for both internal and external, remote users The growing frequency and sophistication of security threats makes protecting your organization more difficult every year. Check Point?s integrated products provide end-to-end security from the enterprise to the cloud to your mobile worker?s personal devices. They prevent and mitigate cyberattacks and limit the data theft that often results from these threats. Introduction to Check Point TechnologyDeployment PlatformsIntroduction to the Security PolicyMonitoring Traffic & ConnectionsNetwork Address TranslationUsing SmartUpdateUser Management & AuthenticationIdentity AwarenessIntroduction to Check Point VPNsSmartLog

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 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 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: IT Staff and Managers Network and systems personnel and engineers Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment. This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics. Overview Following completion of this course, students will understand, Install, Configure, monitor, and Troubleshoot the following: Navigate and Configure the dashboard Add MX/MR/MS/MV devices to the Dashboard Understand and Configure Configuration Templates Understand and Configure Group Policies Manage/Configure/Integrate Users and Radius Policies Configure, Monitor, and Troubleshoot MX Firewalls Troubleshoot devices and Connectivity This 3-day Cisco course provide students with the skills to configure, optimize, and troubleshoot a Cisco Meraki solution. Students will learn how to install and optimize Meraki MX Firewalls. Students will also learn how to configure the Meraki Dashboard Students will troubleshoot and configure the Meraki environment and learn how to diagnose and resolve user and Network issues that may arise. Introduction to Meraki The Meraki Mission Cisco Meraki: Bringing the Cloud to Enterprise Networks Cloud-Managed Networking Architecture Benefits of a Cloud-Based Solution The Meraki Full Stack: New and Unique Value Proposition Meraki Deployment ? How it works Why Customers Choose Meraki Meraki MS Switches Overview Meraki MX Security Appliances Overview Meraki SD-WAN Overview Meraki MR Wireless Access Points Overview Cisco Meraki Systems Manager Overview Cisco Meraki MV Vision Security Cameras Overview Meraki API Overview Meraki Licensing Enterprise Support Cisco Meraki Documentation Cloud Management with the Meraki Dashboard The Meraki Dashboard Dashboard: Organizational Structure Out-of-band Cloud Management Loss of Connectivity to the Cisco Meraki Cloud Meraki Dashboard Logins Create Dashboard Accounts and Organization MSP Logins - Manage Multiple Organizations Modify an Organization View Organizations Health Meraki Dashboard Best Practices Dashboard Search Meraki Help Organizational Wide Settings Configure Monitor Create and Manage Configuration Templates Network-Wide Settings Configure Meraki MX Security Benefits of a Cloud Managed Security Solution Threat Management Solution Advanced Security Licenses Reliable, Cost Effective Connectivity with Meraki SD-WAN Site-to-Site VPN (Auto VPN) High Availability and Path Redundancy Application-Aware Intelligent Path Control Traffic Monitoring and Analytics Integrating Active Directory Cisco Meraki MX Models and Features Configuring the Local Status Page Adding Appliance to Network Device Configuration Configuring the Warm Spare Feature Device Tags & Notes Configuring Addressing & VLANs DHCP Server Configuration and Options Meraki Firewall Configuration Meraki Site-to-Site VPN One Arm VPN Concentrator Configuration Meraki Client VPN Meraki Active Directory Integration Meraki Access Control Meraki Splash Page Configuration Configuring Access Policies Teleworker VPN/L3 Roaming