2012 Courses in Cardiff delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Built for IT Professionals working with Citrix Gateway, with little or no previous Citrix Gateway experience. Potential students include administrators, engineers, and architects interested in learning how to deploy or manage Citrix Gateway environments. Overview Configure Authentication and Authorization Define End User Access and Experience Integrate Citrix Gateway with Citrix Virtual Apps and Desktops and additional resources Employ recommended tools and techniques to troubleshoot common Citrix Gateway network and connectivity issues Learn the skills required to configure and manage Citrix Gateway features. At the end of the course, students will be able to configure their Citrix Gateway environments to address remote access requirements for Apps and Desktops. Citrix Gateway Introduction to Citrix Gateway Advantages and Utilities of Citrix Gateway Citrix Gateway Configuration Common Deployments AppExpert Expressions Introduction to AppExpert Policies Default Policies Explore Citrix ADC Gateway Policies Policy Bind Points Using AppExpert with Citrix Gateway Authentication, Authorization, and Secure Web Gateway Authentication and Authorization Multi-Factor Authentication nFactor Visualizer SAML authentication Managing Client Connections Introduction to Client Connections Session Policies and Profiles Pre and Post Authentication Policies Citrix Gateway Deployment Options Managing User Sessions Integration for Citrix Virtual Apps and Desktops Virtual Apps and Desktop Integration Citrix Gateway Integration Citrix Gateway WebFront ICA Proxy Clientless Access and Workspace App Access Fallback SmartControl and SmartAccess for ICA Configuring Citrix Gateway Working with Apps on Citrix Gateway RDP Proxy Portal Themes and EULA Additional course details: Nexus Humans CNS-226: Implement Citrix ADC 13.x with Citrix Gateway 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 CNS-226: Implement Citrix ADC 13.x with Citrix Gateway 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.

Diploma in Health and Social Care Level 3 Course Overview The Diploma in Health and Social Care Level 3 offers a comprehensive introduction to the field, equipping learners with the essential skills and knowledge required to work effectively in health and social care environments. This course covers a wide range of topics, from communication strategies to understanding professional standards, safeguarding, and risk management. It is designed for those who wish to build a career in this rewarding sector, providing them with the practical insights and knowledge needed to make a positive impact on the lives of others. By completing this course, learners will gain the expertise to support vulnerable individuals, promote equality and diversity, and contribute to a high standard of care and safety in various healthcare settings. Course Description This course delves into the fundamental aspects of working in health and social care, including the roles, rights, and responsibilities of a healthcare worker. Learners will explore communication techniques, ethical issues, and the legal and professional standards that underpin effective practice. The course also examines how to promote equality, diversity, and rights within the workplace, along with safeguarding principles to protect vulnerable individuals. In addition, it covers important health and safety protocols, risk management strategies, and the essential duties of caregivers and healthcare professionals. This qualification will provide learners with a well-rounded understanding of the industry, preparing them to make informed decisions and take on various responsibilities within the sector. Learners will also have the opportunity to reflect on their development and enhance their critical thinking and decision-making abilities in care-related contexts. Diploma in Health and Social Care Level 3 Curriculum: Module 01: Introduction to Health and Social Care Module 02: Communication and its Relevance Module 03: Rights and Responsibilities as a Health and Social Care Worker Module 04: Role as A Caregiver and Healthcare Professional Module 05: Working in Health and Social Care; Promoting Equality, Diversity and Rights Module 06: Important Principles and Policies in Health and Social Care Work Module 07: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part – 1 Module 08: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part – 2 Module 09: Safeguarding Vulnerable Individuals Module 10: Health and Safety Responsibilities Module 11: Risk Management in Health and Social Care (See full curriculum) Who is this course for? Individuals seeking to work in health and social care. Professionals aiming to advance their careers in healthcare settings. Beginners with an interest in health, care, and social services. Those seeking to understand and support the rights of vulnerable individuals. Career Path Caregiver Healthcare Assistant Social Care Worker Health and Safety Officer Care Coordinator Safeguarding Officer Risk Management Specialist Equality and Diversity Officer

SQL for Data Science, Data Analytics and Data Visualization Course Overview: This course offers a comprehensive introduction to SQL, designed for those looking to enhance their skills in data science, data analytics, and data visualisation. Learners will develop the ability to work with SQL databases, efficiently query and manage data, and apply these techniques for data analysis in both SQL Server and Azure Data Studio. By mastering SQL statements, aggregation, filtering, and advanced commands, learners will be equipped with the technical skills required to manage large datasets and extract meaningful insights. The course provides a solid foundation in data structures, user management, and working with multiple tables, culminating in the ability to perform complex data analysis and visualisation tasks. Course Description: This course covers a broad range of topics essential for anyone working with data in a professional capacity. From setting up SQL servers to mastering database management tools like SQL Server Management Studio (SSMS) and SQL Azure Data Studio, the course provides a thorough grounding in SQL. Learners will gain expertise in data structure statements, filtering data, and applying aggregate functions, as well as building complex SQL queries for data analysis. The course also includes instruction on SQL user management, group by statements, and JOINs for multi-table analysis. Key topics such as SQL constraints, views, stored procedures, and database backup and restore are also explored. The course incorporates SQL visualisation tools in Azure Data Studio, empowering learners to visualise data effectively. By the end of the course, learners will be proficient in SQL queries, data manipulation, and using Azure for data analysis. SQL for Data Science, Data Analytics and Data Visualization Curriculum: Module 01: Getting Started Module 02: SQL Server Setting Up Module 03: SQL Azure Data Studio Module 04: SQL Database Basic SSMS Module 05: SQL Statements for DATA Module 06: SQL Data Structure Statements Module 07: SQL User Management Module 08: SQL Statement Basic Module 09: Filtering Data Rows Module 10: Aggregate Functions Module 11: SQL Query Statements Module 12: SQL Group By Statement Module 13: JOINS for Multiple Table Data Analysis Module 14: SQL Constraints Module 15: Views Module 16: Advanced SQL Commands Module 17: SQL Stored Procedures Module 18: Azure Data Studio Visualisation Module 19: Azure Studio SQL for Data Analysis Module 20: Import & Export Data Module 21: Backup and Restore Database (See full curriculum) Who is this course for? Individuals seeking to enhance their data management and analysis skills. Professionals aiming to progress in data science, data analytics, or database administration. Beginners with an interest in data analysis and SQL databases. Anyone looking to gain expertise in SQL for Azure and SQL Server environments. Career Path: Data Analyst Data Scientist Database Administrator SQL Developer Business Intelligence Analyst Data Visualisation Specialist

Air Cabin Crew Online Diploma Course Course Overview: The Air Cabin Crew Online Diploma Course provides a comprehensive introduction to the vital roles and responsibilities of cabin crew members. Covering key areas of aviation, including airline operations, regulatory standards, and emergency protocols, this course prepares learners for a dynamic career in the airline industry. With an emphasis on communication, safety, and customer service, students will develop essential skills needed for success in the fast-paced environment of air travel. Upon completion, learners will gain a thorough understanding of cabin crew duties and industry expectations, ensuring they are well-equipped for both the recruitment process and on-the-job requirements. Course Description: This course delves into the essential aspects of being an air cabin crew member, from understanding different airline structures to mastering the regulations that govern air travel. It covers the practicalities of a cabin crew career, such as recruitment preparation, interview techniques, and training procedures. Learners will also explore the layout of commercial aircraft, crew resource management, emergency protocols, medical first aid, and personal grooming expectations. The course offers a detailed exploration of communication skills necessary for passenger interaction, alongside the critical knowledge of aviation-related terminology, weather conditions, and safety procedures. By the end of the course, learners will have the knowledge and confidence to pursue a career in aviation. Air Cabin Crew Online Diploma Course Curriculum: Module 01: Introduction to Aircraft Cabin Crew Module 02: Understanding Different Types of Airlines Module 03: Role of Regulatory Bodies and Trade Associations Module 04: Things to Know about a Cabin Crew Life Module 05: Advantages and Disadvantages of a Cabin Crew Career Module 06: Recruitment Preparation for Pursuing a Cabin Crew Career Module 07: Cabin Crew Interview Formats Module 08: Training Procedures Module 09: Aviation Abbreviation and Airport Codes Module 10: The Layout of a Commercial Aircraft Module 11: Cabin Familiarisation for a Cabin Crew Module 12: Departments of Airlines and their Interconnection with Cabin Crew Module 13: Knowledge of Currencies, 24 Hour Clock and Phonetic Alphabet Module 14: Basic Knowledge of Weather Regarding Aviation Module 15: Duties of a Cabin Crew Module 16: Communication with the Passenger Module 17: Aircraft Galley Module 18: Emergency Evacuation System Module 19: Tackling the Event of a Fire Module 20: Medical First Aid Module 21: Personal Grooming of Cabin Crew Module 22: Cabin Crew Fatigue Management Module 23: Crew Resource Management (See full curriculum) Who is this course for? Individuals seeking to pursue a career as cabin crew. Professionals aiming to develop their career in the aviation industry. Beginners with an interest in aviation or airline operations. Those aspiring to work in customer service within the air travel sector. Career Path: Cabin Crew Member Flight Attendant In-Flight Supervisor Airline Customer Service Representative Aviation Safety Coordinator

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level course, designed for anyone wanting to learn Linux. Attendees should be comfortable working with computers and the command line, but no other specific skills are required to attend. Overview This skills-focused course is about 50% lab to lecture ratio, combining expert instructor-led discussions with practical hands-on labs that emphasize current techniques, best practices and standards. Working in a hands-on lab environment, guided by our expert practitioner, attendees will explore The Design of Linux Basic Operations File System Basics Wildcards File and Directory Permissions Working with files Executing Programs Using find Filters and other useful commands The vi editor Customizing the user environment Networking/Communications Backups and archiving This hands-on course provides you with an essentials-level foundation in core skills for using any version of Linux. This course focuses on essential skills that ordinary users might use daily when working with Linux. The Design of Linux A brief history of Linux The Linux design philosophy Linux architecture Basic Operations Logging in and out The general form of a Linux command Common commands Using man pages Essential commands File System Basics The Linux directory structure Standard directories Relative and absolute pathnames Legal file names Navigating the filesystem Wildcards Matching one character Matching many characters Shortcuts Wildcard gotchas Wildcards and ls File and Directory Permissions Viewing permissions File permissions Directory permissions Setting defaults Changing permissions Keeping data secure Working with files Viewing contents Identifying file contents Copying and moving Deleting Using symbolic links Executing Programs Redirecting STDOUT Redirecting STDERR Redirecting STDIN Creating pipelines Processes attributes Listing processes Killing processes Foreground & background processes Using find Syntax Finding by name, type, or size Combining tests Finding by size, owner, or timestamps Using xargs with find Other find options Filters and other useful commands What is a filter? cat: a generic filter head and tail grep sort wc other interesting filters The vi editor Why vi? Basic vi operations: navigating, adding, deleting Advanced operations: buffer management, search and replace, configuration options Customizing the user environment About shells Shell startup files Shell variables Search path Aliases Simple shell scripts Networking/Communications Reading and sending mail Remote login Remote file transfer Other network utilities (ping, finger, etc) Backups and archiving Checking space used or available Creating tar archives Viewing and extracting files from archives Compression utilities Working with windows

Duration 3 Days 18 CPD hours This course is intended for This course is ideal for developers, engineers, and others including: Cloud administrators Cloud solution architects Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview After you complete this course the learner will be able to meet these overall objectives: Describe the Cisco CloudCenter solution, architecture, and features Discover the enterprise-class security solution for IT organizations and cloud service providers Discover how the CloudCenter Suite adapters can be leveraged to build custom integrations with a variety of enterprise platforms and services Discover the integrations and APIs that can be performed from Action Orchestrator CLDAO, Mulitcloud Automation and Orchestration with Cisco CloudCenter Suite is a 3-day course that teaches you how to configure simplified orchestration and workflow automation that provides seamless integration within the Cisco© CloudCenter suite. Through lessons and hands-on experiences, you will learn to use the tools of the CloudCenter Suite to streamline business processes, automate tasks, and increase efficiency in business processes.This course will help you:Acquire the advanced skills and techniques using the primary modules of workload manager, cost optimizer and action orchestrator for consistent experiences across all business environmentsLearn how to design and deploy applications that are delivered consistently and reliably across private and public clouds Introducing Cisco CloudCenter Suite Action Orchestrator Cisco CloudCenter Suite Architecture Defining Action Orchestrator User Management and Security Considerations Cisco CloudCenter Suite User Management and Security Defining Cisco CloudCenter Suite Action Orchestrator Adapters Action Orchestrator Adapter Creation Examining Action Orchestrator Integrations and Supported APIs Cisco CloudCenter Suite Action Orchestrator APIs Additional course details: Nexus Humans Cisco Multicloud Automation and Orchestration with Cisco CloudCenter Suite (CLDAO) 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 Multicloud Automation and Orchestration with Cisco CloudCenter Suite (CLDAO) 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.

One of the most powerful ways to tap into intrinsic motivation is by cleaning up your mindset. The way you talk to yourself, visualise and manage your emotions is directly related to your ability to stay motivated and focused. This session will introduce you to a menu of mind hacks to help you Free your Mind?

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Ethical Hackers, Penetration Testers, Network Server Administrators, Firewall Administrators, Security Testers, System Administrators and Risk Assessment Professionals, Cybersecurity Forensic Analyst, Cyberthreat Analyst, Cloud Security, Analyst Information Security Consultant, Application Security Analyst, Cybersecurity Assurance Engineer, Security Operations Center (SOC) Analyst, Technical Operations Network Engineer, Information Security Engineer, Network Security Penetration Tester, Network Security Engineer, Information Security Architect. Overview Upon successful completion of this course, students will master their Penetration Testing skills, perform the repeatable methodology, become committed to the code of ethics, and present analyzed results through structured reports. The main course outcomes include: 100% mapped with the NICE framework. Maps to the job role of a Penetration Tester and security analyst, based on major job portals. 100% methodology-based Penetration Testing program. Provides strong reporting writing guidance. Blended with both manual and automated Penetration Testing approaches. Gives a real-world experience through an Advanced Penetration Testing Range. Designed based on the most common Penetration Testing services offered by the best service providers in the market. Offers standard templates that can help during a Penetration test. This is a multidisciplinary course with extensive hands-on training in a wide range of crucial skills, including advanced Windows attacks, Internet of Things (IoT) and Operational Technology (OT) systems, filtered network bypass techniques, exploit writing, single and double pivoting, advanced privilege escalation, and binary exploitation. Course Outline Introduction to Penetration Testing Penetration Testing Scoping and Engagement Open Source Intelligence (OSINT) Social Engineering Penetration Testing Network Penetration Testing ? External Network Penetration Testing ? Internal Network Penetration Testing - Perimeter Devices Web Application Penetration Testing Wireless Penetration Testing IoT Penetration Testing OT/SCADA Penetration Testing Cloud Penetration Testing Binary Analysis and Exploitation Report Writing and Post-Testing Actions Additional course details: Nexus Humans Certified Penetration Testing Professional (CPENT) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Certified Penetration Testing Professional (CPENT) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

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