141 Brow courses in Sheffield delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for The CHFI course will benefit: Police and other laws enforcement personnel Defense and Military personnel e-Business Security professionals Systems administrators Legal professionals Banking, Insurance and other professionals Government agencies Overview At the end of this course, you will possess the skills needed to: Understand the fundamentals of computer forensics Understand the computer forensic investigation process Describe in detail different types of hard disks and file systems Understand data acquisition and duplication Counteract anti-forensic techniques Leverage forensic skills in Windows, Linux, and Mac Investigate web attacks Understand dark web forensics Deploy forensic techniques for databases, cloud, and networks Investigate email crimes including malware Perform forensics in mobile and IoT environments Every crime leaves a digital footprint, and you need the skills to track those footprints. In this course, students will learn to unravel these pieces of evidence, decode them and report them. From decoding a hack to taking legal action against the perpetrators, they will become an active respondent in times of cyber-breaches. Computer Forensics in Today?s World 1.1. Understand the Fundamentals of Computer Forensics 1.2. Understand Cybercrimes and their Investigation Procedures 1.3. Understand Digital Evidence 1.4. Understand Forensic Readiness, Incident Response and the Role of SOC (Security Operations Center) in Computer Forensics 1.5. Identify the Roles and Responsibilities of a Forensic Investigator 1.6. Understand the Challenges Faced in Investigating Cybercrimes 1.7. Understand Legal Compliance in Computer Forensics Computer Forensics Investigation Process 2.1. Understand the Forensic Investigation Process and its Importance 2.2. Understand the Pre-investigation Phase 2.3. Understand First Response 2.4. Understand the Investigation Phase 2.5. Understand the Post-investigation Phase Understanding Hard Disks and File Systems 3.1. Describe Different Types of Disk Drives and their Characteristics 3.2. Explain the Logical Structure of a Disk 3.3. Understand Booting Process of Windows, Linux and Mac Operating Systems 3.4. Understand Various File Systems of Windows, Linux and Mac Operating Systems 3.5. Examine File System Using Autopsy and The Sleuth Kit Tools 3.6 Understand Storage Systems 3.7. Understand Encoding Standards and Hex Editors 3.8. Analyze Popular File Formats Using Hex Editor Data Acquisition and Duplication 4.1. Understand Data Acquisition Fundamentals 4.2. Understand Data Acquisition Methodology 4.3. Prepare an Image File for Examination Defeating Anti-forensics Techniques 5.1. Understand Anti-forensics Techniques 5.2. Discuss Data Deletion and Recycle Bin Forensics 5.3. Illustrate File Carving Techniques and Ways to Recover Evidence from Deleted Partitions 5.4. Explore Password Cracking/Bypassing Techniques 5.5. Detect Steganography, Hidden Data in File System Structures, Trail Obfuscation, and File Extension Mismatch 5.6. Understand Techniques of Artifact Wiping, Overwritten Data/Metadata Detection, and Encryption 5.7. Detect Program Packers and Footprint Minimizing Techniques 5.8. Understand Anti-forensics Countermeasures Windows Forensics 6.1. Collect Volatile and Non-volatile Information 6.2. Perform Windows Memory and Registry Analysis 6.3. Examine the Cache, Cookie and History Recorded in Web Browsers 6.4. Examine Windows Files and Metadata 6.5. Understand ShellBags, LNK Files, and Jump Lists 6.6. Understand Text-based Logs and Windows Event Logs Linux and Mac Forensics 7.1. Understand Volatile and Non-volatile Data in Linux 7.2. Analyze Filesystem Images Using The Sleuth Kit 7.3. Demonstrate Memory Forensics Using Volatility & PhotoRec 7.4. Understand Mac Forensics Network Forensics 8.1. Understand Network Forensics 8.2. Explain Logging Fundamentals and Network Forensic Readiness 8.3. Summarize Event Correlation Concepts 8.4. Identify Indicators of Compromise (IoCs) from Network Logs 8.5. Investigate Network Traffic 8.6. Perform Incident Detection and Examination with SIEM Tools 8.7. Monitor and Detect Wireless Network Attacks Investigating Web Attacks 9.1. Understand Web Application Forensics 9.2. Understand Internet Information Services (IIS) Logs 9.3. Understand Apache Web Server Logs 9.4. Understand the Functionality of Intrusion Detection System (IDS) 9.5. Understand the Functionality of Web Application Firewall (WAF) 9.6. Investigate Web Attacks on Windows-based Servers 9.7. Detect and Investigate Various Attacks on Web Applications Dark Web Forensics 10.1. Understand the Dark Web 10.2. Determine How to Identify the Traces of Tor Browser during Investigation 10.3. Perform Tor Browser Forensics Database Forensics 11.1. Understand Database Forensics and its Importance 11.2. Determine Data Storage and Database Evidence Repositories in MSSQL Server 11.3. Collect Evidence Files on MSSQL Server 11.4. Perform MSSQL Forensics 11.5. Understand Internal Architecture of MySQL and Structure of Data Directory 11.6. Understand Information Schema and List MySQL Utilities for Performing Forensic Analysis 11.7. Perform MySQL Forensics on WordPress Web Application Database Cloud Forensics 12.1. Understand the Basic Cloud Computing Concepts 12.2. Understand Cloud Forensics 12.3. Understand the Fundamentals of Amazon Web Services (AWS) 12.4. Determine How to Investigate Security Incidents in AWS 12.5. Understand the Fundamentals of Microsoft Azure 12.6. Determine How to Investigate Security Incidents in Azure 12.7. Understand Forensic Methodologies for Containers and Microservices Investigating Email Crimes 13.1. Understand Email Basics 13.2. Understand Email Crime Investigation and its Steps 13.3. U.S. Laws Against Email Crime Malware Forensics 14.1. Define Malware and Identify the Common Techniques Attackers Use to Spread Malware 14.2. Understand Malware Forensics Fundamentals and Recognize Types of Malware Analysis 14.3. Understand and Perform Static Analysis of Malware 14.4. Analyze Suspicious Word and PDF Documents 14.5. Understand Dynamic Malware Analysis Fundamentals and Approaches 14.6. Analyze Malware Behavior on System Properties in Real-time 14.7. Analyze Malware Behavior on Network in Real-time 14.8. Describe Fileless Malware Attacks and How they Happen 14.9. Perform Fileless Malware Analysis - Emotet Mobile Forensics 15.1. Understand the Importance of Mobile Device Forensics 15.2. Illustrate Architectural Layers and Boot Processes of Android and iOS Devices 15.3. Explain the Steps Involved in Mobile Forensics Process 15.4. Investigate Cellular Network Data 15.5. Understand SIM File System and its Data Acquisition Method 15.6. Illustrate Phone Locks and Discuss Rooting of Android and Jailbreaking of iOS Devices 15.7. Perform Logical Acquisition on Android and iOS Devices 15.8. Perform Physical Acquisition on Android and iOS Devices 15.9. Discuss Mobile Forensics Challenges and Prepare Investigation Report IoT Forensics 16.1. Understand IoT and IoT Security Problems 16.2. Recognize Different Types of IoT Threats 16.3. Understand IoT Forensics 16.4. Perform Forensics on IoT Devices

About this training course Gas well performance is dictated by the combination of inflow and outflow performance. The outflow performance of any gas well is at risk as soon as the gas rate becomes insufficient to lift the associated liquid water and condensate to surface. This condition is referred to as liquid loading and invariably causes intermittent production and significant loss of well capacity and reserves. Liquid loading can be mitigated by different types of gas well deliquification such as compression, velocity string, plunger lift, foam-assisted lift, gas lift and downhole pump. This 5 full-day course will first show how to predict and recognize liquid loading. Next, it will describe how to select, design, install and operate the best sequence of deliquification measures. It will also consider deliquification in the presence of other production threats such as water production and halite blockage. These topics will be illustrated by an abundance of field examples and case studies. The participants will be completing a case study during the training. This case study is preferably based on their own relevant data set. If no such data is available, an external data set will be provided instead. Prerequisites skills: It is necessary for the participants to have a basic knowledge of petroleum engineering and gas well performance. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives On completion of this course, the participants will be able to: Develop skills and tools to understand and model gas well liquid loading and deliquification Understand the principles and practicalities of different deliquification methods Learn how to compare, select and apply deliquification measures by taking own field case as example Target Audience This course is intended for production engineer, surveillance engineer, completion engineer, production/process chemist, reservoir engineer, production programmer, production operator as well as professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course utilizes Excel worksheets first introduced in the Optimising Gas Well Performance course. To derive maximum learning value, the participants are requested to bring their own relevant set of field data to complete their own case study during the training. The list of data required will be shared beforehand so data can be timely collected and cleared for external use. The participants should be prepared to complete any unfinished exercises and assignments before next day's session starts. The instructor will be available to discuss any remaining queries after the completion of the course. Trainer Your expert course leader brings with him 35 years of oil and gas field experience within Shell of which 25 years as gas well production engineer. He has covered the full spectrum of activities moving from R&D to green field development to brown field surveillance and optimisation, to become a leading gas well performance and deliquification specialist. He likes to capture the complex reality of gas well inflow, outflow and reservoir performance by means of practical data-driven rules and tools that cover a wide range of conditions i.e. shallow-to-deep, prolific-to-tight, dry-to-wet, green-to-brown, 1-1/2'-to-9-5/8' tubing, and depletion-to-aquifer drive. Before his retirement in end 2020, he worked for various Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. 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

Complete VB.Net training course description A hands on introduction to programming in Visual BASIC .Net. What will you learn Build Visual BASIC applications. Build simple components Debug Visual BASIC programs. Examine existing code and determine its function. Complete VB.Net training course details Who will benefit: Anyone wishing to program in Visual BASIC. Anyone wishing to build Windows based applications. Prerequisites: None although experience in another high level language would be useful. Duration 5 days Complete VB.Net training course contents Writing your first program Visual Studio, forms designer, running VB programs, the UI, properties, writing the code. Toolbox Controls Basic use, input controls, ActiveX controls. Menus and Dialog Boxes Menus, Dialog Box controls, event procedures. Visual Basic .NET variables and operators Variables, I/O, data types, constants, operators, Math Methods, precedence. Decision Structures and Loops and Timers Event-Driven programming, If…Then, Select Case, For…Next Loops, Timer Control. Debugging Visual Basic .NET Programs Break Mode, watch & command windows. Structured Error Handling Try...Catch, Finally, Err Object, retry periods. Modules and Procedures Standard modules, public variables, procedures. Arrays and Collections to Manage Data Fixed-Size & dynamic Arrays, ReDim Preserve, object collections, Controls Collection. Text Files and String Processing Text Box object, Text String methods, sorting. Automating Office Applications Application objects, automation in VB, the Object Browser, the Process Component. Deploying Visual Basic .NET Applications Planning a deployment, ways to deploy an application, deployment projects, options. Managing Windows Forms Forms, positioning, manipulation, adding controls, organizing controls, Startup Object. Adding Graphics and Animation Effects System.Drawing namespace, coordinates, SystemPaint Event, animation, transparency. Inheriting Forms and Creating Base Classes Inheriting forms, inheritance picker, base classes and inheritance, classes in projects. Working with Printers PrintDocument class, Text Box object, Print Preview and Page Setup Dialog Boxes. Database programming with ADO.NET Databases, ADO.NET, Data Adapters, Datasets, Bound & Navigation Controls. Displaying database records, formatting DataGrid cells, updating the database. Displaying HTML Documents Using IE IE Object, Internet Controls, IE Events. Web Forms for Interactive Web Applications ASP.NET, Web Forms vs. Windows Forms, HTML controls, web applications, event procedures for web forms controls.

Network DevOps course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network DevOps course details Who will benefit: Administrators automating tasks. Prerequisites: TCP/IP Foundation Duration 5 days Network DevOps course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal. Hands on Python programming with pyping. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install. Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Network automation course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network automation course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 5 days Network automation course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Programming in HTML5 with CSS course description This course provides an introduction to HTML5, CSS3, and JavaScript. It is an entry point into both the Web application and Windows Store apps training paths. The course focuses on using HTML5 / CSS3 / JavaScript to implement programming logic, define and use variables, perform looping and branching, develop user interfaces, capture and validate user input, store data, and create well-structured application. What will you learn Create and style HTML5 pages. Use JavaScript. Style HTML5 pages by using CSS3. Use common HTML5 APLs in interactive Web applications. Create HTML5 Web pages that can adapt to different devices and form factors. Enhance the user experience by adding animations to the HTML5 page. Programming in HTML5 with CSS course details Who will benefit: Website developers. Prerequisites: HTML5 development fundamentals. Duration 5 days Programming in HTML5 with CSS course contents Overview of HTML and CSS Overview of HTML, Overview of CSS, Creating a Web Application by Using Visual Studio 2012. Hands on Exploring the Contoso Conference Application. Creating and Styling HTML5 Pages Creating an HTML5 Page, Styling an HTML5 Page. Hands on Creating and Styling HTML5 Pages. Introduction to JavaScript Overview of JavaScript Syntax, Programming the HTML DOM with JavaScript, Introduction to jQuery. Hands on Displaying Data and Handling Events by Using JavaScript. Creating Forms to Collect and Validate User Input Overview of Forms and Input Types, Validating User Input by Using HTML5 Attributes, Validating User Input by Using JavaScript. Hands on Creating a Form and Validating User Input. Communicating with a Remote Data Source Sending and Receiving Data by Using XMLHTTPRequest, Sending and Receiving Data by Using jQuery AJAX operations. Hands on Communicating with a Remote Data Source. Styling HTML5 by Using CSS3 Styling Text, Styling Block Elements, CSS3 Selectors, Enhancing Graphical Effects by Using CSS3. Hands on Styling Text and Block Elements using CSS3. Creating Objects and Methods by Using JavaScript Writing Well-Structured JavaScript, Creating Custom Objects, Extending Objects. Hands on Refining Code for Maintainability and Extensibility. Creating Interactive Pages using HTML5 APIs Interacting with Files, Incorporating Multimedia, Reacting to Browser Location and Context, Debugging and Profiling a Web Application. Hands on Creating Interactive Pages by Using HTML5 APIs. Adding Offline Support to Web Applications Reading and Writing Data Locally, Adding Offline Support by Using the Application Cache. Hands on Adding Offline Support to a Web Application. Implementing an Adaptive User Interface Supporting Multiple Form Factors, Creating an Adaptive User Interface. Hands on Implementing an Adaptive User Interface. Creating Advanced Graphics Creating Interactive Graphics by Using Scalable Vector Graphics, Programmatically Drawing Graphics by Using a Canvas. Hands on Creating Advanced Graphics. Animating the User Interface Applying CSS Transitions, Transforming Elements, Applying CSS Key-frame Animations. Hands on Animating User Interface Elements. Web Sockets for Real-Time Communications Introduction to Web Sockets, Sending and Receiving Data by Using Web Sockets. Hands on Implementing Real-Time Communications by Using Web Sockets. Creating a Web Worker Process Introduction to Web Workers, Performing Asynchronous Processing by Using a Web Worker. Hands on Creating a Web Worker Process.

Network management technologies course description A comprehensive tour of the available network management technologies available for todays networks. The course starts with basic tools such as syslog along with Python network automation. SNMP is then covered with the *flow technologies and streaming telemetry. Configuration management with ansible, Python, NETCONF and RESTCONF is then studied. The final part of the course looks at SDN. Hands on sessions are used throughout to reinforce the theory rather than teach specific manufacturer equipment. Note that sections are available as individual courses. What will you learn Evaluate network management technologies. Evaluate network management technologies. Recognise the weaknesses of SNMP versus NETCONF and streaming telemetry. Explain the role of NETCONF and RESTCONF. Compare & contrast *flow and streaming telemetry. Explain the role of SDN in network management. Automate network configuration with ansible and Python. Network management technologies course details Who will benefit: Those wishing to manage networks. (Previous Python experience is NOT needed) Prerequisites: Intro to data comms Duration 5 days Network management technologies course content Basic network management Network management What is network management? Benefits, issues. FCAPS model. Fault management, Configuration management, accounting, performance, security. What to manage, what not to manage. Managing network devices, managing servers. Monitoring networks Traditional network tools Ping..., SSH, syslog, TFTP for configurations. nmap. Wireshark. CLI. Web based management. Splunk. Nessus, snort, Kali. Hands on syslog, network inventories. Network automation using the CLI Programming and automating networks, netOps. Python, Git. Python network modules, SSH, paramiko, netmiko. EVE-NG. Hands onPython network modules. Structured versus unstructured data Problems with automation and unstructured data. XML, JSON, YAML. The role of YANG. Hands on Parsing data. SNMP SNMP architecture, SNMP MIBs, SMI, the SNMP protocol, polling security. Configuring SNMP. SNMPv1, v2, v3, SNMP security. Which version should you use? MIBs and MIB structure. mib-2, extra parts of mib-2, Private enterprise MIBs. Summary: What SNMP is good/bad at. Hands on Configuring agents and a NMS. MIB browsing. Server management Microsoft, Linux, application polling. WMI vs SNMP. Hands on: Application polling. Performance management *flow Polling, push vs pull, netflow, sflow, IPFIX, *flow. Flows. Where to monitor traffic. Comparing *flow with SNMP. Architecture: Generators and collectors. When flows are exported. NetFlow reporting products. SolarWinds. Hands on Netflow configuration. Collectors. Streaming telemetry Model driven telemetry, periodic/on change. Structured data. Telemetry protocol stack. gRPC and gNMI. Protobuf. gNMI operations. Telemetry architecture. Telegraf, databases, Grafana. Hands on Telemetry example. Configuration management Configuration management tools Chef, puppet, ansible, saltstack. Ansible architecture, controlling machines, nodes, agentless, SSH, modules. Inventories, playbooks, modules, network modules, jinja2 templates. Hands on Network configuration with ansible. NETCONF What is NETCONF? Protocol stack, Data stores, traffic flows, validating configurations, rollback. YANG data models and how YANG is used by NETCONF. XML. Explorers and other tools. Hands on anx, Python and NETCONF. RESTCONF The REST API, HTTP, What is RESTCONF? Tools including Postman. Comparison with NETCONF. Hands on Configuration with RESTCONF. Python network automation: configuration SSH issues. Using structured data. Jinja2. ncclient, requests, NAPALM, Nornir. Automated testing. Hands on Python network device configuration with nornir. Software Defined Networks and orchestration Classic SDN What is SDN? benefits. SDN architecture. SDN applications, SDN switches, SDN controllers, Network Operating Systems. Control plane, data plane. Northbound interfaces. SDN components. Southbound interfaces. OpenFlow. ONF, OpenFlow ports, Flow tables. Network virtualization Virtual networks, virtual switches, NfV. Service chaining. NfV and SDN. SDN implementations Classic SDN, Hybrid SDN, SDN via APIs, SDN via overlays. Data centre SDN, VXLAN, Service Provider SDN, SD WAN, Enterprise SDN, WiFi. SDN and open source OpenDaylight, OpenVSwitch, Open Networking Forum, Open Network Operating System. Hands onOpenStack. SD-WAN What is SD-WAN? Architecture: Edge, gateway, orchestrator, controller. Overlay and underlay. Use of MPLS, 4G/5G. Benefits and features. Secure Access Service Edge (SASE).

About this Training Course Gas wells are the most uncertain hence critical component of any gas production system. A successful gas project relies on a reliable forecast of gas well production and on timely implementation of measures that restore, sustain and improve gas well capacity, and maximize reserves. This 5-day course provides the skills to understand and analyze (changes in) gas well performance, and to select and design those remedial measures. It addresses all four gas well components i.e. reservoir performance, inflow performance, outflow performance and surface performance, individually and combined. In depletion-drive reservoirs, the gas well outflow performance becomes inevitably compromised as the reservoir pressure depletes and the gas rate becomes insufficient to lift liquid water and condensate to surface. This condition is referred to as liquid loading and causes significant loss of well capacity and reserves. This 5-day course provides the means to recognize and predict liquid loading, introduces the deliquification techniques that mitigate liquid loading, and then teaches how to select, design, install and operate the optimum suite of deliquification measures. Training Objectives On completion of this course, participants will be able to: Recognize and model gas well reservoir, inflow, outflow and surface performance Understand and model gas well production forecast and reserves Identify and model gas well performance threats and opportunities, specifically liquid loading and deliquification Select and justify remedial measures that mitigate those threats or realize those opportunities, specifically deliquification measures Understand design, installation and operation of those deliquification measures Target Audience This course is intended for production engineer, surveillance engineer, completion engineer, production/process chemist, reservoir engineer, production programmer, production operator, as well as other professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course consists of a series of lectures and exercises. The lectures are interactive with field examples to illustrate models and concepts, where participants are encouraged to contribute their own relevant field examples. The exercises make use of a series of Excel worksheets for model calculations. Participants are invited to implement their own field specific well data. When arranged beforehand, PROSPER gas well performance software can be used as well. This course addresses ways and means to monitor and manage gas well performance and deliquification. It covers the purpose, outcome and benefit of gas well surveillance and capacity measures to assist future surveillance and capacity planning. Specifically, it addresses the selection and implementation of deliquification measures. This course introduces the skills and tools required for periodic review of gas well performance in support of critical business processes Trainer Your expert course leader brings with him 38 years of oil and gas field experience largely within Shell of which 25 years as gas well production engineer. He has covered the full spectrum of activities moving from R&D to green field development to brown field surveillance and optimisation, to become a leading gas well performance and deliquification specialist. He likes to capture the complex reality of gas well inflow, outflow and reservoir performance by means of practical data-driven rules and tools that cover a wide range of conditions i.e. shallow-to-deep, prolific-to-tight, dry-to-wet, green-to-brown, 1-1/2'-to-9-5/8' tubing, and depletion-to-aquifer drive. Before his retirement end 2020, He worked for Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. Since then, he has been active as an independent trainer and consultant, amongst others for Cairn India. 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

Duration 4 Days 24 CPD hours This course is intended for Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms Prerequisites Successful learners will have prior knowledge and understanding of: Cloud computing concepts, including an understanding of PaaS, SaaS, and IaaS implementations. Both Azure administration and Azure development with proven expertise in at least one of these areas. Version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software. AZ-104T00 - Microsoft Azure Administrator AZ-204T00: Developing Solutions for Microsoft Azure 1 - Introduction to DevOps What is DevOps? Explore the DevOps journey Identify transformation teams Explore shared goals and define timelines 2 - Choose the right project Explore greenfield and brownfield projects Decide when to use greenfield and brownfield projects Decide when to use systems of record versus systems of engagement Identify groups to minimize initial resistance Identify project metrics and key performance indicators (KPIs) 3 - Describe team structures Explore agile development practices Explore principles of agile development Define organization structure for agile practices Explore ideal DevOps team members Enable in-team and cross-team collaboration Select tools and processes for agile practices 4 - Choose the DevOps tools What is Azure DevOps? What is GitHub? Explore an authorization and access strategy Migrate or integrate existing work management tools Migrate or integrate existing test management tools Design a license management strategy 5 - Plan Agile with GitHub Projects and Azure Boards Link GitHub to Azure Boards Configure GitHub Projects Manage work with GitHub Project boards Customize Project views Collaborate using team discussions Agile Plan and Portfolio Management with Azure Boards 6 - Introduction to source control Explore DevOps foundational practices What is source control? Explore benefits of source control Explore best practices for source control 7 - Describe types of source control systems Understand centralized source control Understand distributed source control Explore Git and Team Foundation Version Control Examine and choose Git Understand objections to using Git Describe working with Git locally 8 - Work with Azure Repos and GitHub Migrate from TFVC to Git Use GIT-TFS Develop online with GitHub Codespaces 9 - Structure your Git Repo Explore monorepo versus multiple repos Implement a change log 10 - Manage Git branches and workflows Explore branch workflow types Explore feature branch workflow Explore Git branch model for continuous delivery Explore GitHub flow Explore fork workflow Version Control with Git in Azure Repos 11 - Collaborate with pull requests in Azure Repos Collaborate with pull requests Examine GitHub mobile for pull request approvals 12 - Identify technical debt Examine code quality Examine complexity and quality metrics Measure and manage technical debt Integrate other code quality tools Plan effective code reviews 13 - Explore Git hooks Implement Git hooks 14 - Plan foster inner source Explore foster inner source Implement the fork workflow Describe inner source with forks 15 - Manage Git repositories Work with large repositories Purge repository data Manage releases with GitHub Repos Automate release notes with GitHub 16 - Explore Azure Pipelines Explore the concept of pipelines in DevOps Describe Azure Pipelines Understand Azure Pipelines key terms 17 - Manage Azure Pipeline agents and pools Choose between Microsoft-hosted versus self-hosted agents Explore job types Explore predefined agent pool Understand typical situations for agent pools Communicate with Azure Pipelines Communicate to deploy to target servers Examine other considerations Describe security of agent pools Configure agent pools and understanding pipeline styles 18 - Describe pipelines and concurrency Understand parallel jobs Estimate parallel jobs Describe Azure Pipelines and open-source projects Explore Azure Pipelines and Visual Designer Describe Azure Pipelines and YAML 19 - Explore continuous integration Learn the four pillars of continuous integration Explore benefits of continuous integration Describe build properties Enable Continuous Integration with Azure Pipelines 20 - Implement a pipeline strategy Configure agent demands Implement multi-agent builds Explore source control types supported by Azure Pipelines 21 - Integrate with Azure Pipelines Describe the anatomy of a pipeline Understand the pipeline structure Detail templates Explore YAML resources Use multiple repositories in your pipeline 22 - Introduction to GitHub Actions What are Actions? Explore Actions flow Understand workflows Describe standard workflow syntax elements Explore events Explore jobs Explore runners Examine release and test an action 23 - Learn continuous integration with GitHub Actions Describe continuous integration with actions Examine environment variables Share artifacts between jobs Examine Workflow badges Describe best practices for creating actions Mark releases with Git tags Create encrypted secrets Use secrets in a workflow Implement GitHub Actions for CI/CD 24 - Design a container build strategy Examine structure of containers Work with Docker containers Understand Dockerfile core concepts Examine multi-stage dockerfiles Examine considerations for multiple stage builds Explore Azure container-related services Deploy Docker containers to Azure App Service web apps 25 - Introduction to continuous delivery Explore traditional IT development cycle What is continuous delivery? Move to continuous delivery Understand releases and deployments Understand release process versus release 26 - Create a release pipeline Describe Azure DevOps release pipeline capabilities Explore release pipelines Explore artifact sources Choose the appropriate artifact source Examine considerations for deployment to stages Explore build and release tasks Explore custom build and release tasks Explore release jobs Configure Pipelines as Code with YAML 27 - Explore release recommendations Understand the delivery cadence and three types of triggers Explore release approvals Explore release gates Use release gates to protect quality Control Deployments using Release Gates 28 - Provision and test environments Provision and configure target environments Configure automated integration and functional test automation Understand Shift-left Set up and run availability tests Explore Azure Load Testing Set up and run functional tests 29 - Manage and modularize tasks and templates Examine task groups Explore variables in release pipelines Understand variable groups 30 - Automate inspection of health Automate inspection of health Explore events and notifications Explore service hooks Configure Azure DevOps notifications Configure GitHub notifications Explore how to measure quality of your release process Examine release notes and documentation Examine considerations for choosing release management tools Explore common release management tools 31 - Introduction to deployment patterns Explore microservices architecture Examine classical deployment patterns Understand modern deployment patterns 32 - Implement blue-green deployment and feature toggles What is blue-green deployment? Explore deployment slots Describe feature toggle maintenance 33 - Implement canary releases and dark launching Explore canary releases Examine Traffic Manager Understand dark launching 34 - Implement A/B testing and progressive exposure deployment What is A/B testing? Explore CI-CD with deployment rings 35 - Integrate with identity management systems Integrate GitHub with single sign-on (SSO) Explore service principals Explore Managed Identity 36 - Manage application configuration data Rethink application configuration data Explore separation of concerns Understand external configuration store patterns Examine Key-value pairs Examine App configuration feature management Integrate Azure Key Vault with Azure Pipelines Manage secrets, tokens and certificates Examine DevOps inner and outer loop Integrate Azure Key Vault with Azure DevOps Enable Dynamic Configuration and Feature Flags 37 - Explore infrastructure as code and configuration management Explore environment deployment Examine environment configuration Understand imperative versus declarative configuration Understand idempotent configuration 38 - Create Azure resources using Azure Resource Manager templates Why use Azure Resource Manager templates? Explore template components Manage dependencies Modularize templates Manage secrets in templates Deployments using Azure Bicep templates 39 - Create Azure resources by using Azure CLI What is Azure CLI? Work with Azure CLI 40 - Explore Azure Automation with DevOps Create automation accounts What is a runbook? Understand automation shared resources Explore runbook gallery Examine webhooks Explore source control integration Explore PowerShell workflows Create a workflow Examine checkpoint and parallel processing 41 - Implement Desired State Configuration (DSC) Understand configuration drift Explore Desired State Configuration (DSC) Explore Azure Automation State configuration (DSC) Examine DSC configuration file Explore hybrid management Implement DSC and Linux Automation on Azure 42 - Implement Bicep What is Bicep? Install Bicep Understand Bicep file structure and syntax 43 - Introduction to Secure DevOps Describe SQL injection attack Understand DevSecOps Explore Secure DevOps Pipeline Explore key validation points Explore continuous security validation Understand threat modeling 44 - Implement open-source software Explore how software is built What is open-source software Explore corporate concerns with open-source software components Explore common open-source licenses Examine license implications and ratings 45 - Software Composition Analysis Inspect and validate code bases for compliance Explore software composition analysis (SCA) Integrate Mend with Azure Pipelines Implement GitHub Dependabot alerts and security updates Integrate software composition analysis checks into pipelines Examine tools for assess package security and license rate Interpret alerts from scanner tools Implement security and compliance in an Azure Pipeline 46 - Static analyzers Explore SonarCloud Explore CodeQL in GitHub Manage technical debt with SonarCloud and Azure DevOps 47 - OWASP and Dynamic Analyzers Plan Implement OWASP Secure Coding Practices Explore OWASP ZAP penetration test Explore OWASP ZAP results and bugs 48 - Security Monitoring and Governance Implement pipeline security Explore Microsoft Defender for Cloud Examine Microsoft Defender for Cloud usage scenarios Explore Azure Policy Understand policies Explore initiatives Explore resource locks Explore Azure Blueprints Understand Microsoft Defender for Identity 49 - Explore package dependencies What is dependency management? Describe elements of a dependency management strategy Identify dependencies Understand source and package componentization Decompose your system Scan your codebase for dependencies 50 - Understand package management Explore packages Understand package feeds Explore package feed managers Explore common public package sources Explore self-hosted and SaaS based package sources Consume packages Publish packages Package management with Azure Artifacts 51 - Migrate consolidating and secure artifacts Identify existing artifact repositories Migrate and integrating artifact repositories Secure access to package feeds Examine roles Examine permissions Examine authentication 52 - Implement a versioning strategy Understand versioning of artifacts Explore semantic versioning Examine release views Promote packages Explore best practices for versioning 53 - Introduction to GitHub Packages Publish packages Install a package Delete and restore a package Explore package access control and visibility 54 - Implement tools to track usage and flow Understand the inner loop Explore Azure Monitor and Log Analytics Examine Kusto Query Language (KQL) Explore Application Insights Implement Application Insights Monitor application performance with Application Insights 55 - Develop monitor and status dashboards Explore Azure Dashboards Examine view designer in Azure Monitor Explore Azure Monitor workbooks Explore Power BI Build your own custom application 56 - Share knowledge within teams Share acquired knowledge within development teams Integrate with Azure Boards Share team knowledge using Azure Project Wiki 57 - Design processes to automate application analytics Explore rapid responses and augmented search Integrate telemetry Examine monitoring tools and technologies 58 - Manage alerts, blameless retrospectives and a just culture Examine when get a notification Explore how to fix it Explore smart detection notifications Improve performance Understand server response time degradation Reduce meaningless and non-actionable alerts Examine blameless retrospective Develop a just culture

About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course covers carbon capture and geological storage of carbon dioxide. Burning fossil fuels for energy is a major source of carbon dioxide emissions to the atmosphere. Most anthropogenic (man-made) carbon dioxide is emitted by coal-fired or gas-fired power plants, and significant quantities of carbon dioxide are emitted through the production and separation of carbon dioxide-rich natural gas and industries such as cement, iron and steel. Carbon Capture Utilization and Storage, or CCUS, involves the long-term storage of captured carbon dioxide emissions in subsurface geologic formations. This VILT course covers all aspects of CCUS including transport, storage and monitoring, economics and community engagement. It explores in detail the challenges of the current technology of geological storage, monitoring and verification including examples from working projects around the world. Many of these technologies are commonly employed by the petroleum industry. Successful deployment of CCUS will also require economic incentives, appropriate regulation, clarity on liability issues and acceptance by the community. These aspects of CCUS, and the corresponding opportunities for appropriately skilled organisations and individuals also will be discussed. Course Content at a Glance Context for CCS/CCUS as An Emissions-reduction Measure Principles of Geological Storage Finding Geological Storage Sites Stationary Sources of Carbon Dioxide for Capture Carbon Dioxide Capture Technologies Compression and Transport of Carbon Dioxide Economics of CCS/CCUS Community, Safety, Legal & Regulatory Issues Risk Assessment Training Objectives Upon completion of this VILT course, participants will be able to: Identify the need for Carbon Capture and Storage (CCS) Outline the key steps in the Carbon Capture and Storage process Distinguish between reservoir rocks and sealing rocks Describe the importance of permeability and porosity to storing carbon dioxide Contrast the geological structures and trapping mechanisms for storing carbon dioxide Describe the changes in geologically stored carbon dioxide over time Outline the monitoring techniques employed to ensure the carbon dioxide is safely stored Appreciate the industrial applications of carbon dioxide capture Recognize the scale of industry required for transporting and storing carbon dioxide Describe economic considerations for CCS/CCUS Outline the economic and environmental opportunities and challenges with using carbon dioxide injection in a range of applications Explain the challenges of regulatory frameworks and public acceptance in a CCS/CCUS project Identify potential risks of a CCS/CCUS project Outline the risk assessment and management process Target Audience This VILT course is ideally suited for a technical audience - geoscientists, petroleum and chemical engineers - as well as for economists, regulators, legal staff and managers wishing to learn more about the details of both the technical, regulatory and socio-economic aspects of carbon capture and storage. Participants should have: Experience with oil and gas, coal or other energy projects Basic understanding of the energy industry Course Level Intermediate Trainer Your first expert course leader spent 18 years in the Petroleum Industry before joining academia, in both technical and managerial roles with Shell, Arco and Vico. He has received numerous awards, including Distinguished Service, Honorary member and Special Commendation awards from the American Association of Petroleum Geologist (AAPG) and was AAPG's International Vice-President and recently chairman of AAPG's House of Delegates (the Associations Parliamentary body). He is an SPE Distinguished Lecturer (DL) and has served as DL for several other professional organisations, including, AAPG, IPA and PESA. He is currently a Professor of Petroleum Geology and Engineering at the Australian School of Petroleum, University of Adelaide. He holds the South Australia State Chair in Carbon Capture & Storage (CCS) and is also presently Distinguished Scientist of the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), having served earlier as the Storage Program Manager and Chief Scientist. Your second expert course leader has a wide and deep knowledge of major capture technologies: solvent, membrane and adsorption based technologies and has developed pathways for retrofitting CO2 capture and storage (CCS) to fossil fuel-based power plants. He has been actively engaged in Post-combustion capture project management and demonstration projects in Victoria's Latrobe Valley on CO2 capture and hydrogen production, and on CO2 capture using membrane contactor technology. He has led various feasibility studies for the Asian Development Bank on CO2 Capture at Indian Oil Corporation's refineries, for JPOWER on hydrogen production from Victorian brown coal and for Kawasaki on incorporation of CCS in hydrogen production from fossil fuel. He has authored multiple peer reviewed journal articles, co-authored various confidential reports on CO2 capture, utilization and hydrogen production and utility, and has presented his work at various conferences, symposiums and seminars. He has a PhD in Chemical Engineering from Monash University Australia and a Master of Technology in Process Engineering from Indian Institute of Technology Delhi India.     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