2974 Design courses in Pontypridd delivered Live Online

IPTV training course description A current hot topic in recent years has been the provision of multimedia services over IP networks aka triple or quadruple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Use Wireshark to analyse and troubleshoot TV streams. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate IPTV technologies. Design data networks, which will support IPTV. IPTV training course details Who will benefit: Anyone working with IPTV. Prerequisites: TCP/IP Foundation for engineers Intro to data communications & networking. Duration 3 days IPTV training course contents What is IPTV? What is IP? What is TV? Pixels, frames, colour, digital modulation, digital video broadcasting. SDTV, HDTV, 4K. IPTV architectures, Contribution, distribution, delivery. IPTV standards. Hands on Base IP connectivity, VLC. IPTV protocol stacks IP, TCP, UDP, RTP. IPv6. HTTP. Bandwidth requirements. Hands on IPTV bandwidth calculations. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands on Analysing MPEG frames. IP issues Quality vs. bandwidth. Bandwidth, delay, latency, jitter, signalling. Routers. Hands on Analysing jitter and other performance issues. IPTV performance and QoS IP DSCP field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, Diffserv. 802.1Q. Traffic shaping. QoE. Hands on best effort versus prioritisation. UDP versus TCP Reliable, unreliable, connection oriented, connectionless. Broadcasts, multicasts and unicasts. TCP flow control, TCP and performance. Hands on TCP window sizes. RTP RTP, ports, mixers, translators, RTCP, SMPTE, FEC. Hands on RTP analysis with Wireshark. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, PIM-SM, SSM. MLD. Hands on Analysing multicast streams. OTT TV HTTP, HTTPS, Chunked HTTP. Adaptive streaming. HTML5. DASH vs HLS. Hands on Analysing HTTP streams. Security Firewalls, TLS, DRM, watermarking. Encryption. Geolocation. VPNs. IPTV architecture and other protocols Content providers, Service providers, delivery networks, home networks. Caching, Service discovery. RTSP. SAP, SDP. DHCP, DNS, NTP Hands on Fixing the network.

Certified Business Analysis Professional™ (CBAP®) Boot Camp: In-House Training The course provides targeted exam preparation support for IIBA® Level 3 - CBAP® exam candidates, including both a BABOK® Guide Version 3.0 content review and exam preparation tutorial. The class is interactive, combining discussion, application of concepts, study tips, and a practice exam. Knowledge Check quizzes and self-assessments allow candidates to identify areas of weakness and create a custom study plan tailored to their individual needs as well as study aids to support their exam preparation after the course. The course materials include a copy of A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide) Version 3.0. What you will Learn Upon completion, participants will be able to: Demonstrate familiarity with the structure and content of the IIBA® BABOK® Guide Improve their probability of passing the Level 3 - CBAP® Exam Identify their knowledge gaps through the use of module Knowledge Check quizzes Gauge their readiness for taking the exam by IIBA® BABOK® Guide Knowledge Are Foundation Concepts for IIBA® CBAP® Prep IIBA® - the Organization Business Analysis - the Profession Knowledge Check Terminology and Key Concepts IIBA®'s BABOK® Guide - the Standard Underlying Competencies BA Techniques Business Analysis Planning and Monitoring Knowledge Check Overview BAP&M Tasks BAP&M Techniques Elicitation and Collaboration Knowledge Check Overview E&C Tasks E&C Techniques Requirements Life Cycle Management Knowledge Check Overview RLCM Tasks RLCM Techniques Strategy Analysis Knowledge Check Overview SA Tasks SA Techniques Requirements Analysis and Design Definition Knowledge Check Overview RA&DD Tasks RA&DD Techniques Solution Evaluation Knowledge Check Overview SE Tasks SE Techniques Exam Preparation Practice Exam and debrief Exam Preparation Study Tips Manage Study Plan Exam Process Exam day

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

Certified Business Analysis Professional™ (CBAP®) Boot Camp: Virtual In-House Training The course provides targeted exam preparation support for IIBA® Level 3 - CBAP® exam candidates, including both a BABOK® Guide Version 3.0 content review and exam preparation tutorial. The class is interactive, combining discussion, application of concepts, study tips, and a practice exam. Knowledge Check quizzes and self-assessments allow candidates to identify areas of weakness and create a custom study plan tailored to their individual needs as well as study aids to support their exam preparation after the course. The course materials include a copy of A Guide to the Business Analysis Body of Knowledge® (BABOK® Guide) Version 3.0. What you will Learn Upon completion, participants will be able to: Demonstrate familiarity with the structure and content of the IIBA® BABOK® Guide Improve their probability of passing the Level 3 - CBAP® Exam Identify their knowledge gaps through the use of module Knowledge Check quizzes Gauge their readiness for taking the exam by IIBA® BABOK® Guide Knowledge Are Foundation Concepts for IIBA® CBAP® Prep IIBA® - the Organization Business Analysis - the Profession Knowledge Check Terminology and Key Concepts IIBA®'s BABOK® Guide - the Standard Underlying Competencies BA Techniques Business Analysis Planning and Monitoring Knowledge Check Overview BAP&M Tasks BAP&M Techniques Elicitation and Collaboration Knowledge Check Overview E&C Tasks E&C Techniques Requirements Life Cycle Management Knowledge Check Overview RLCM Tasks RLCM Techniques Strategy Analysis Knowledge Check Overview SA Tasks SA Techniques Requirements Analysis and Design Definition Knowledge Check Overview RA&DD Tasks RA&DD Techniques Solution Evaluation Knowledge Check Overview SE Tasks SE Techniques Exam Preparation Practice Exam and debrief Exam Preparation Study Tips Manage Study Plan Exam Process Exam day

Network virtualization training course description This course covers network virtualization. It has been designed to enable network engineers to recognise and handle the requirements of networking Virtual Machines. Both internal and external network virtualization is covered along with the technologies used to map overlay networks on to the physical infrastructure. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer implementations. What will you learn Evaluate network virtualization implementations and technologies. Connect Virtual Machines with virtual switches. Explain how overlay networks operate. Describe the technologies in overlay networks. Network virtualization training course details Who will benefit: Engineers networking virtual machines. Prerequisites: Introduction to virtualization. Duration 2 days Network virtualization training course contents Virtualization review Hypervisors, VMs, containers, migration issues, Data Centre network design. TOR and spine switches. VM IP addressing and MAC addresses. Hands on VM network configuration Network virtualization What is network virtualization, internal virtual networks, external virtual networks. Wireless network virtualization: spectrum, infrastructure, air interface. Implementations: Open vSwitch, NSX, Cisco, others. Hands on VM communication over the network. Single host network virtualization NICs, vNICs, resource allocation, vSwitches, tables, packet walks. vRouters. Hands on vSwitch configuration, MAC and ARP tables. Container networks Single host, network modes: Bridge, host, container, none. Hands on Docker networking. Multi host network virtualization Access control, path isolation, controllers, overlay networks. L2 extensions. NSX manager. OpenStack neutron. Packet walks. Distributed logical firewalls. Load balancing. Hands on Creating, configuring and using a distributed vSwitch. Mapping virtual to physical networks VXLAN, VTEP, VXLAN encapsulation, controllers, multicasts and VXLAN. VRF lite, GRE, MPLS VPN, 802.1x. Hands on VXLAN configuration. Orchestration vCenter, vagrant, OpenStack, Kubernetes, scheduling, service discovery, load balancing, plugins, CNI, Kubernetes architecture. Hands on Kubernetes networking. Summary Performance, NFV, automation. Monitoring in virtual networks.

Business Intelligence: Virtual In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Duration 3 Days 18 CPD hours This course is intended for This course is intended for solutions architects, solution-design engineers, developers seeking an understanding of AWS architecting and individuals seeking the AWS Solutions Architect-Associate certification. Overview Identify AWS architecting basic practices. Explore using the AWS management tools: The AWS Console, Command Line Interface (CLI), and CloudFormation in a lab environment. Examine the enforcement of accounts security using policies. Identify the elements that build an elastic, secure, virtual network that includes private and public subnets. Practice building an AWS core networking infrastructure. Determine strategies for a layered security approach to Virtual Private Cloud (VPC) subnets. Identify strategies to select the appropriate compute resources based on business use-cases. Practice building a VPC and adding an Elastic Cloud Compute (EC2) instance in a lab environment. Practice installing an Amazon Relational Database Service (RDS) instance and an Application Load Balancer (ALB) in the VPC you created. Compare and contrast AWS storage products and services, based on business scenarios. Compare and contrast the different types of AWS database services based on business needs. Practice building a highly available, auto-scaling database layer in a lab. Explore the business value of AWS monitoring solutions. Identify the role of monitoring, event driven load balancing, and auto scaling responses, based on usage and needs. Identify and discuss AWS automation tools that will help you build, maintain and evolve your infrastructure. Discuss network peering, VPC endpoints, gateway and routing solutions based on use-cases. Discuss hybrid networking configurations to extend and secure your infrastructure. Discuss the benefits of microservices as an effective decoupling strategy to power highly available applications at scale. Explore AWS container services for the rapid implementation of an infrastructure-agnostic, portable application environment. Identify the business and security benefits of AWS serverless services based on business examples. Practice building a serverless infrastructure in a lab environment. Discuss the ways in which AWS edge services address latency and security. Practice building a CloudFront deployment with an S3 backend in a lab environment. Explore AWS backup, recovery solutions, and best practices to ensure resiliency and business continuity. Build a highly available and secure cloud architecture based on a business problem, in a project-based facilitator-guided lab. Architecting on AWS is for solutions architects, solution-design engineers, and developers seeking an understanding of AWS architecting. In this course, you will learn to identify services and features to build resilient, secure and highly available IT solutions on the AWS Cloud. Architectural solutions differ depending on industry, types of applications, and business size. AWS Authorized Instructors emphasize best practices using the AWS Well-Architected Framework, and guide you through the process of designing optimal IT solutions, based on real-life scenarios. The modules focus on account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery. At the end of the course, you will practice building a solution and apply what you have learned with confidence. Prerequisites AWS Cloud Practitioner Essentials classroom or digital training, or Working knowledge of distributed systems Familiarity with general networking concepts Familiarity with IP addressing Working knowledge of multi-tier architectures Familiarity with cloud computing concepts 0 - Introductions & Course Map review Welcome and course outcomes 1 - Architecting Fundamentals Review AWS Services and Infrastructure Infrastructure Models AWS API Tools Securing your infrastructure The Well-Architected Framework Hands-on lab: Explore Using the AWS API Tools to Deploy an EC2 Instance 2 - Account Security Security Principals Identity and Resource-Based Policies Account Federation Introduction to Managing Multiple Accounts 3 - Networking, Part 1 IP Addressing Amazon Virtual Private Cloud (VPC), Patterns and Quotas Routing Internet Access Network Access Control Lists (NACLs) Security Groups 4 - Compute Amazon Elastic Cloud Compute (EC2) EC2 Instances and Instance Selection High Performance Computing on AWS Lambda and EC2, When to Use Which Hands-On Lab: Build Your Amazon VPC Infrastructure 5 - Storage Amazon S3, Security, Versioning and Storage Classes Shared File Systems Data Migration Tools 6 - Database Services AWS Database Solutions Amazon Relational Database Services (RDS) DynamoDB, Features and Use Cases Redshift, Features, Use Cases and Comparison with RDS Caching and Migrating Data Hands-on Lab: Create a Database Layer in Your Amazon VPC Infrastructure 7 - Monitoring and Scaling Monitoring: CloudWatch, CloudTrail, and VPC Flow Logs Invoking Events 8 - Automation CloudFormation AWS Systems Manager 9 - Containers Microservices Monitoring Microservices with X-Ray Containers 10 - Networking Part 2 VPC Peering & Endpoints Transit Gateway Hybrid Networking Route 53 11 - Serverless Architecture Amazon API Gateway Amazon SQS, Amazon SNS Amazon Kinesis Data Streams & Kinesis Firehose Step Functions Hands-on Lab: Build a Serverless Architecture 12 - Edge Services Edge Fundamentals Amazon CloudFront AWS Global Accelerator AWS Web Application Firewall (WAF), DDoS and Firewall Manager AWS Outposts Hands-On Lab: Configure an Amazon CloudFront Distribution with an Amazon S3 Origin 13 - Backup and Recovery Planning for Disaster Recovery AWS Backup Recovery Strategie Additional course details: Nexus Humans Architecting on AWS 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 Architecting on AWS 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.

This Digital Electronics Course is designed to give practical knowledge of the type of electronic circuitry used in a modern Computer System or in any type of Computer Controlled equipment such as Photocopiers, Cash Registers, Tablets, mobile phones and many other types of IT equipment. Digital Electronics involves the use of Silicon chips (Integrated Circuits). The internal structure of a computer is to a large extent comprised of Digital Electronic Circuits.

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.

About this Virtual Instructor Led Training (VILT) This 4 half-day Virtual Instructor Led Training (VILT) course presents the principles and best practices of portfolio management in the upstream (E&P) oil and gas industry. The VILT course is equally valuable for small independents, large integrated international companies and national oil companies. The VILT course consists of presentations, case studies, illustrative practical exercises and syndicate discussions. Particular emphasis is given to pragmatic portfolio management approaches and solutions which can be implemented swiftly without recourse to major investments in planning and portfolio management software. The VILT course will draw on examples from your expert course leader's 35+ years' experience in the oil and gas industry as an explorationist, upstream vice-president and management consultant. The VILT course handout will comprise softcopy slides used in the presentation and a softcopy workbook for the exercises. Participants will gain proficiency in portfolio management techniques, understand how and why to undertake this activity and be able to apply key concepts directly in the business of their teams / divisions. The VILT course will be presented over 4 half-days, using Microsoft Teams or Zoom and a proprietary set of VILT tools. Participants will be asked to complete a pre course questionnaire (PCQ) addressing their objectives and experience, and attend a session to familiarise themselves with VILT tools before course commencement.     Training Objectives To present the tools, concepts and principles of portfolio management To define the quantitative metrics which are used to describe projects in a portfolio To understand the benefits of portfolio management at different stages of the upstream business: in strategy development, opportunity screening, business development, drilling prospects, conducting appraisal of discoveries and developing fields To put portfolio management in the organisational context by describing the role of the portfolio management team and examining how value assurance (quality control) is best conducted on portfolio data for projects and assets To demonstrate how portfolio management contributes to improved business performance By the end of the VILT course, participants will understand: Key concepts and principles of portfolio management How to design a simple portfolio database and describe complex projects in a small number of objective metrics How to segment the portfolio into meaningful units How to use portfolio data in making business choices and decisions at the strategic and tactical levels The extent to which it is meaningful and reasonable to make comparisons across different portfolio segments How the portfolio management team can support the wider business in decision-making Target Audience This VILT course is specially designed for exploration and development geoscientists, E&P economists and finance staff, and E&P managers. Both technical and non-technical staff will benefit from the concepts presented. Companies are encouraged to send participants from different functions and seniority levels to gain great benefits especially those which would like to implement the concepts presented in this VILT course. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. The VILT course will be presented in an interactive workshop format that allows for discussion. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Your expert course leader draws on more than 35 years of experience managing, reviewing and directing projects in all aspects of the exploration business: from exploration business development (new ventures), through prospect maturation and drilling, to the appraisal of discoveries. He has more than 30 years' experience with Shell International, followed by 10 years consulting to NOCs in Asia Pacific, Africa and South America and independent oil companies in the United Kingdom, continental Europe and North America. Other than delivering industry training, he has worked on projects for oil & gas companies of all sizes, including independents, national oil companies and (super)-majors, private equity firms, hedge funds and investment banks, and leading management consulting firms. He is an alumnus of Cambridge University. He has M.A and Ph.D. degrees in geology and is a Fellow of the Geological Society of London as well as a respected speaker on management panels at international conferences. Professional Experience Management consultancy & executive education: Advice to investment banks, businesses and major consulting firms. Specialist expertise in upstream oil & gas, with in depth experience in exploration strategy, portfolio valuation and risk assessment. Leadership: Managed and led teams and departments ranging from 3 - 60 in size. Provided technical leadership to a cadre of 800 explorationists in Shell worldwide. Member of the 12-person VP team leading global exploration in Shell, a $3 bln p.a. business and recognised as the most effective and successful among its industry peers. Accountability & decision-making: Accountable for bottom-line results: in a range of successful exploration ventures with budgets ranging from $10's million to $100's million. Made, or contributed to, complex business decisions / investments, taking into account strategic, technical, commercial, organisational and political considerations. Corporate governance: Served as non-executive director on the Boards of the South Rub al Khali Company (oversight of gas exploration studies and drilling in Saudi Arabia) and SEAPOS B.V. (exploration deep-water drilling and facilities management). Technical & operations: Skilled in exploration opportunity evaluation, the technical de risking of prospects, portfolio analysis and managing the interface between exploration and well engineering activities. Unparalleled knowledge of the oil and gas basins of the world, and of different operating regimes and contractual structures, ranging from Alaska, Gulf of Mexico and Brazil, through to the Middle East, former Soviet Union, Far East and Australia. Safety: Following an unsatisfactory audit, became accountable for safety performance in Shell's exploration new ventures. Through personal advocacy and leadership of a small team, delivered pragmatic and effective HSE systems, tools and staff training / engagement and a dramatically improved safety record. R&D: Experience in the 3 key roles in R&D: scientific researcher, research manager, and 'customer' for R&D products. After re-defining Shell's exploration R&D strategy, led the re-structuring of the R&D organization, its interface with 'the business' and approaches to deployment and commercialization. Strategy: Accomplished at formulating competitive strategies in business, R&D and technology deployment, translating them into actionable tactics and results. Defined the exploration strategy of PDO (a Shell subsidiary in Oman) and latterly of Shell's global exploration programme. Professional education, behavioural/motivational coaching: Experienced in organisational re-design, change management, leadership education and talent development. Commercial skills: Personally negotiated drilling compensation claims, educational contracts and E&P contracts, with values of $5 million to $100+ million. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations