4460 PE courses in Cardiff delivered Live Online

Advanced RF training course description This course provides a follow on to our popular RF fundamentals course for those that need to know more. What will you learn Explain RF propagation Describe the importance of transmission lines in RF systems. Recognise the issues in RF systems. Describe transmission measurements. Advanced RF training course details Who will benefit: Those working with RF systems. Prerequisites: RF fundamentals. Duration 3 days Advanced RF training course contents RF propagation The Electromagnetic Spectrum, Electromagnetic Radiation, Spherical Wave Front, The Space Wave, Receive Antenna below the Horizon, Bending the Space Wave , Surface Wave Path, Tilting of Surface Wave, Conductivity, Layers of the Atmosphere, Variations of the Ionosphere, Variations caused by Solar Activity, Multi Hop Transmission, Classification of Radio Waves, Fading, Fading Reduction, Free Space Path Loss, Shadowing of Radio Wave, Signal Levels after Shadowing, Radio Waves as Wavelets, Fresnel Zone. Transmission Lines Transmission Line Construction, Primary Line Constants, 'T' Networks, Input Impedence, Lossless Unbalanced Line, Standing Waves, Open Circuit / Short Circuit Termination, Short Circuit Standing Waves, Open Circuit Standing Waves, Voltage Standing Wave Pattern, Short Circuit Termination, Open Circuit Termination, The Directional Coupler, Effect of E and M Coupling, Practical Reflectometer. Antenna Theory The Open Circuit Line, Dipole V/I Distribution, Polar Diagram, Power Pattern ½ Wave Dipole, Half Wave Dipole, Vehicle Mount, Centre Fed Whip Antenna, Antenna Beamwidth, The Yagi Array, Uda Yagi array, Antenna Characteristics, 6 Element Yagi Polar Diagram, Log Periodic Antenna, Helical Antenna. Microwave Dish Array, Typical Microwave Dish Antenna. Transmission Measurements Transmission Measurements, Effective Isotropic Radiated Power, Fade Margin. Noise Noise in Communications, Noise Voltage Equivalent Circuit. Satellite Communications Satellite Communications, Large Earth Station, The Satellite Payload, Geo Stationary Orbit, Basic Orbits, VSAT Terminal, Iridium Phone, The Space Segment, Satellite Footprint, Typical System Hardware. Mobile Communications Mobile Evolution, The Path to UMTS, Technologies Bit Rate and Mobility, Systems and Specifications, Wireless Networks, Diffraction, Multi Path Propagation, Loss Models, GSM Architecture, OSI Model - GSM, OSI Reference Model, OSI Layers.

Advanced Junos Security training course description This course provides students with intermediate routing knowledge and configuration examples. The course includes an overview of protocol-independent routing features, load balancing and filter-based forwarding, OSPF, BGP, IP tunneling, and high availability (HA) features. Junos Intermediate Routing (JIR) is an intermediate-level course. What will you learn Demonstrate the understanding of integrated user firewall. Implement next generation Layer 2 security features. Implement virtual routing instances in a security setting. Utilize Junos tools for troubleshooting Junos security implementations. Implement IPS policy. Advanced Junos Security training course details Who will benefit: Individuals responsible for implementing, monitoring, and troubleshooting Junos security components. Prerequisites: Intro to the Junos Operating System Duration 5 days Advanced Junos Security training course contents Junos Layer 2 Packet Handling and Security Features Transparent Mode Security Secure Wire Layer 2 Next Generation Ethernet Switching MACsec Lab 2 Implementing Layer 2 Security Virtualization Virtualization Overview Routing Instances Logical Systems Lab 3 Implementing Junos Virtual Routing AppSecure Theory AppSecure Overview AppID Overview AppID Techniques Application System Cache Custom Application Signatures AppSecure Implementation AppTrack AppFW AppQoS APBR SSL Proxy Lab 4 Implementing AppSecure Working with Log Director Log Director Overview Log Director Components Installing and setting up Log Director Clustering with the Log Concentrator VM Administrating Log Director Lab 5 Deploying Log Director Sky ATP Theory Sky ATP Overview Monitoring Sky ATP Analysis and Detection of Malware Sky ATP Implementation Configuring Sky ATP Installing Sky ATP Analysis and detection of Malware Infected Host Case Study Lab 6 Instructor Led Sky ATP Demo Implementing UTM UTM Overview AntiSpam AntiVirus Content and Web Filtering Lab 7 Implementing UTM Introduction to IPS IPS Overview Network Asset Protection Intrusion Attack Methods Intrusion Prevention Systems IPS Inspection Walkthrough IPS Policy and Configuration SRX IPS Requirements IPS Operation Modes Basic IPS Policy Review IPS Rulebase Operations Lab 8 Implementing Basic IPS Policy SDSN SDSN Overview, Components & Configuration Policy Enforcer Troubleshooting SDSN Use Cases Lab 9 Implementing SDSN Enforcement, Monitoring, and Reporting User Role Firewall and Integrated User Firewall Overview User Role Firewall Implementation Monitoring User Role Firewall Integrated User Firewall Implementation Monitoring Integrated User Firewall Lab 10 Configure User Role Firewall and Integrated User Firewall Troubleshooting Junos Security Troubleshooting Methodology Troubleshooting Tools Identifying IPsec Issues Lab 11 Performing Security Troubleshooting Techniques Appendix A: SRX Series Hardware and Interfaces Branch SRX Platform Overview High End SRX Platform Overview SRX Traffic Flow and Distribution SRX Interfaces

Objective-C programming training course description A hands on introduction that will allow you to master Objective-C and start using it to write powerful native applications for even the newest Macs and iOS devices! Using The step-by-step approach, will let you get comfortable with Objective-C's unique capabilities and Apple's Xcode 5 development environment. Make the most of Objective-C objects and messaging. Work effectively with design patterns, collections, blocks, foundation classes, threading, Git and a whole lot more. Every session builds on what you've already learned, giving a rock-solid foundation for real-world success! What will you learn Use Xcode 5. Declare classes, instance variables, properties, methods, and actions. Use arrays, dictionaries, and sets. Expand and extend classes with protocols, delegates, categories, and extensions. Use Apple's powerful classes and frameworks. Objective-C programming training course details Who will benefit: Developers wanting to learn Objective-C. Prerequisites: Software development fundamentals. Duration 5 days Objective-C programming training course contents PART 1: GETTING STARTED WITH OBJECTIVE-C The Developer Program: Objective-C, enrolling as an Apple Developer, setting up the development environment, Xcode. Your first project. OO programming with Objective-C: OO projects, Frameworks, classes and instances, encapsulation, accessors, Inheritance. OO features in Objective-C: Messages, methods, working with id, nesting messages, method signatures and parameters. allocating and initializing objects. Using Xcode: Xcode, source code control, git and Xcode, Using a Remote Repository. Compiler Directives: Projects, Compiler Directives, Prefix headers, main.m, .h files. PART 2: OBJECTIVE-C BASICS Messaging in a Testbed App: Setting Up the Testbed Apps, Adding a Text Field and Connecting It to Your Code, Sending a Message to the Text Field, Reviewing the Message Syntax. Declaring a Class in an Interface File: Context, Creating an Instance Variable with id, What Happens When Execution Stops, dynamic binding, Creating an Instance Variable for with the Class Name and with a Superclass Name, instance variable visibility. Properties in an Interface File: Interface Variables vs Properties, Declared Properties, Using Attributes. Implementing Properties. @synthesize, @dynamic. Methods in an Interface File: Methods in a Class, class and instance methods, Method declaration, returning complex data structures from Methods. Actions in an Interface File: Actions, Actions in OS X and iOS, disconnecting actions. Routing messages with selectors: Receiver and selector objects in messages, Objective-C Runtime, SEL and @selector (), performSelector, NSInvocation, testing whether an Instance can respond to a selector. Building on the Foundation: The Foundation Framework, Foundation Classes, Foundation Paradigms and Policies; Mutability, class clusters, notifications. Defining a Class in Implementation Files: Projects, dynamic typing, creating a new App, implementing a method, expanding Classses with init Methods. Organizing Data with Collections: Collecting Objects, Property Lists, Runtime, comparing the Collection Classes, Creating a Collection, Objective-C Literal Syntax, Enumerating collections, Testing Membership in a Collection, Accessing an Object in a Collection. Managing Memory and Runtime Objects: Managing objects in memory, managing reference counts manually and with ARC, variable qualifiers, variable autorelease. PART 3: EXPANDING AND EXTENDING CLASSES Protocols and Delegates: Subclassing, Protocols, Delegates, Looking Deeper Inside Protocols. Categories and Extensions: Comparing categories and protocols, categories vs subclasses, working with categories, class extensions, informal protocols. Associative References and Fast Enumeration: Objective-C 2.0 Time-Saving Features, Extending Classes by Adding Instance Variables (Sort of), Using Fast Enumeration. Blocks: Revisiting Blocks, Callbacks, Blocks, Exploring Blocks in Cocoa, Cocoa Blocks and Memory. PART 4: BEYOND THE BASICS Handling Exceptions and Errors: Exception and Error classes: NSException, NSError, Identifying exceptions, throwing exceptions, catching exceptions. Queues and Threading: Getting Started with Concurrency, Introducing Queues, Dispatch Sources, Using Dispatch Queues. Working with the Debugger: Logging Information, Console Logs, NSLog, Smart Breakpoints, enhancing breakpoints with messages. Using Xcode Debug Gauges for Analysis: Debug Gauges, Monitoing CPU and memory utilization, monitoring energy, Using Instruments. PART 5: OPTIONAL TOPICS C Syntax Summary: Data Types, Control Structures. Apps, Packages, and Bundles: Project Bundles, lproj Files, Asset Catalogs, plist Files, Precompiled Header Files (.pch). Archiving and Packaging Apps for Development and Testing: Archiving.

The ‘Mastering Management Fundamentals Open Programme’ is a 5 module online course that is designed to improve your management success and performance. It will give you the practical tools and insight to be able to make changes and directly improve your management skills over a 5-6 month period.

About this Training Course The 3-day hands-on petroleum economics training course provides a comprehensive overview of the practices of exploration and development petroleum economics and its application in valuing oil and gas assets to aid corporate decisions. Participants will gain a thorough understanding of the principles of economic analysis as well as practical instruction in analytical techniques used in the industry. The participants will learn how to construct economic models, to include basic fiscal terms, production and cost profiles and project timing. The resulting model will provide insights of how the various inputs affect value. Example exercises will be used throughout the course. Training Objectives Upon completion of this course, participants will be able to: Understand and construct petroleum industry cash flow projections Calculate, understand and know how to apply economic indicators Learn and apply risk analysis to exploration and production investments Evaluate and model fiscal/PSC terms of countries worldwide Target Audience The following oil & gas company personnel will benefit from the knowledge shared in this course: Geologists Explorationists Reservoir Engineers Project Accountants Contract Negotiators Financial Analysts New Venture Planners Economists Course Level Basic or Foundation Intermediate Trainer Your expert trainer has over 40 years' experience as a petroleum economist in the upstream oil and gas industry. He has presented over 230 oil and gas industry short courses worldwide on petroleum economics, risk, production sharing contracts (PSC) and fiscal analysis. In over 120 international oil industry consulting assignments, he has advised companies and governments in the Asia Pacific region on petroleum PSC and fiscal terms. He has prepared many independent valuations of petroleum properties and companies for acquisition and sale, as well as economics research reports on the oil and gas industry and including commercial support for oil field operations and investments worldwide. He has been involved in projects on petroleum royalties, design of petroleum fiscal terms, divestment of petroleum assets, and economic evaluation of assets and discoveries since the early 1990s to date. He has been working on training, consultancy, research and also advisory works in many countries including USA, UK, Denmark, Switzerland, Australia, New Zealand, Indonesia, India, Iran, Malaysia, Thailand, Vietnam, Brunei, Egypt, Libya, and South Africa. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

High Performing Teams. Moccasin Approach, Moccasin Manager,

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Performance management, Managing Performance, Employee engagement,

Duration 5 Days 30 CPD hours This course is intended for The CCSP is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration. Overview Upon completing this course, the participants will gain valuable knowledge and skills including the ability to: - Successfully pass the CCSP exam. - Understand the fundamentals of the cloud computing architecture framework. - Understand security challenges associated with different types of cloud services. - Identify and evaluate security risks for their organization?s cloud environments. - Select and implement appropriate controls to ensure secure implementation of cloud services. - Thoroughly understand the 6 essential core domains of the CCSP common body of knowledge: 1. Architectural Concepts & Design Requirements 2. Cloud Data Security 3. Cloud Platform & Infrastructure Security 4. Cloud Application Security 5. Operations 6. Legal & Compliance The goal of the course is to prepare professionals for the challenging CCSP exam by covering the objectives of the exam based on the six domains as defined in the (ISC)2 CCSP common body of knowledge. 1 - Architectural Concepts and Design Requirements Cloud Computing Concepts Cloud Reference Architecture Cloud Computing Security Concepts Design Principles of Secure Cloud Computing Trusted Cloud Services 2 - Cloud Data Security CSA (Cloud Security Alliance) Cloud Data Lifecycle Cloud Data Storage Architectures Data Security Strategies Data Discovery and Classification Technologies Protecting Privacy and PII (Personally Identifiable Information) Data Rights Management Data Retention, Deletion, and Archiving Policies Auditability, Traceability, and Accountability of Data Events 3 - Cloud Platform and Infrastructure Security Cloud Infrastructure Components Cloud Infrastructure Risks Designing and Planning Security Controls Disaster Recovery and Business Continuity Management 4 - Cloud Application Security The Need for Security Awareness and Training in application Security Cloud Software Assurance and Validation Verified Secure Software SDLC (Software Development Life Cycle) Process Secure SDLC Specifics of Cloud Application Architecture Secure IAM (Identity and Access Management) Solutions 5 - Operations Planning Process for the Data Center Design Installation and Configuration of Physical Infrastructure for Cloud Environment Running Physical Infrastructure for Cloud Environment Managing Physical Infrastructure for Cloud Environment Installation and Configuration of Logical Infrastructure for Cloud Environment Running Logical Infrastructure for Cloud Environment Managing Logical Infrastructure for Cloud Environment Compliance with Regulations and Controls Risk Assessment for Logical and Physical Infrastructure Collection, Acquisition, and Preservation of Digital Evidence Managing Communication with Stakeholders 6 - Legal and Compliance Legal Requirements and Unique Risks within the Cloud Environment Relevant Privacy and PII Laws and Regulations Audit Process, Methodologies, and Required Adaptions for a Cloud Environment Implications of Cloud to Enterprise Risk Management Outsourcing and Cloud Contract Design Vendor Management

OOAD training course description A workshop course providing thorough practical knowledge of object oriented analysis and design methods. What will you learn Perform Systems Analysis with Object Oriented methods. Identify key classes and objects. Expand and refine OO problem domain models. Design Class hierarchies using inheritance and polymorphism. Design programs with Object Oriented methods. OOAD training course details Who will benefit: System analysts, designers, programmers and project managers. Prerequisites: It is desirable that delegates have experience of programming in C++/Java or some other OOP language. Duration 5 days OOAD training course contents What is OO? Classes, objects, messages, encapsulation, associations, inheritance, polymorphism, reusability. What is Systems Analysis and design? Data flow diagrams, structure diagrams. The OO approach. OOA The problem domain and object modelling. Identifying classes and objects. Generalisation and inheritance. Defining attributes and methods. OOD Refining the OOA results. Designing the User Interface. Designing the algorithms and data structures using objects. Designing the methods. OOP Prototyping. Implementing OOD with OOPs and OOPLs.