488 Courses

CCNP (ENARSI) training course description The Implementing Cisco Enterprise Advanced Routing and Services (ENARSI) v1.0 gives you the knowledge you need to install, configure, operate, and troubleshoot an enterprise network. This course covers advanced routing and infrastructure technologies, expanding on the topics covered in the Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.0 course. This course helps prepare for the exam, Implementing Cisco Enterprise Advanced Routing and Services (300- 410 ENARSI), which leads to the new CCNP What will you learn Gain the knowledge you need to install, configure, operate, and troubleshoot an enterprise network. Qualify for professional-level job roles in advance routing and services Prepare for the Implementing Cisco Enterprise Advanced Routing and Services Exam (300-410 ENARSI). CCNP (ENARSI) training course details Who will benefit: Enterprise network engineers, System engineers, System administrators, Network administrators. Prerequisites: CCNP core Duration 5 days CCNP (ENARSI) training course content Course Objectives Configure classic Enhanced Interior Gateway Routing Protocol (EIGRP) and named EIGRP for IPv4 and IPv6 Optimize classic EIGRP and named EIGRP for IPv4 and IPv6 Troubleshoot classic EIGRP and named EIGRP for IPv4 and IPv6 Configure Open Shortest Path First (OSPF)v2 and OSPFv3 in IPv4 and IPv6 environments Optimize OSPFv2 and OSPFv3 behaviour Troubleshoot OSPFv2 for IPv4 and OSPFv3 for IPv4 and IPv6 Implement route redistribution using filtering mechanisms Troubleshoot redistribution Implement path control using Policy-Based Routing (PBR) and IP Service Level Agreement (SLA) Configure Multiprotocol-Border Gateway Protocol (MPBGP) in IPv4 and IPv6 environments Optimize MPBGP in IPv4 and IPv6 environments Troubleshoot MPBGP for IPv4 and IPv6 Describe the features of Multiprotocol Label Switching (MPLS) Describe the major architectural components of an MPLS VPN Identify the routing and packet forwarding functionalities for MPLS VPNs Explain how packets are forwarded in an MPLS VPN environment Implement Cisco Internetwork Operating System (IOS) Dynamic Multipoint VPNs (DMVPNs) Implement Dynamic Host Configuration Protocol (DHCP) Describe the tools available to secure the IPV6 first hop Troubleshoot Cisco router security features Troubleshoot infrastructure security and services Course Outline Implementing EIGRP Optimizing EIGRP Troubleshooting EIGRP Implementing OSPF Optimizing OSPF Troubleshooting OSPF Configuring Redistribution Troubleshooting Redistribution Implementing Path Control Implementing Internal Border Gateway Protocol (IBGP) Optimizing BGP Implementing MP-BGP Troubleshooting BGP Exploring MPLS Introducing MPLS L3 VPN Architecture Introducing MPLS L3 VPN Routing Configuring Virtual Routing and Forwarding (VRF)-Lite Implementing DMVPN Implementing DHCP Introducing IPv6 First Hop Security Securing Cisco Routers Troubleshooting Infrastructure Security and Services Troubleshooting with DNA Center Assurance. Lab outline Configure EIGRP Using Classic Mode and Named Mode for IPv4 and IPv6 Verify the EIGRP Topology Table Configure EIGRP Stub Routing, Summarization, and Default Routing Configure EIGRP Load Balancing and Authentication Troubleshoot EIGRP Issues Configure OSPFv3 for IPv4 and IPv6 Verify the LinkState Database Configure OSPF Stub Areas and Summarization Configure OSPF Authentication Troubleshoot OSPF Issues Implement Routing Protocol Redistribution Manipulate Redistribution Manipulate Redistribution Using Route Maps Troubleshoot Redistribution Issues Implement PBR Configure IBGP and External Border Gateway Protocol (EBGP) Implement BGP Path Selection Configure BGP Advanced Features Configure BGP Route Reflectors Configure MP-BGP for IPv4 and IPv6 Troubleshoot BGP Issues Configure Routing with VRF -Lite Implement Cisco IOS DMVPN Obtain IPv6 Addresses Dynamically Troubleshoot DHCPv4 and DHCPv6 Issues Troubleshoot IPv4 and IPv6 Access Control List (ACL) Issues Configure and Verify Unicast Reverse Path Forwarding (uRPF) Troubleshoot Network Management Protocol Issues: Lab 1 and 2

Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.

VMware training course description This five-day VMware course features intensive handson training that focuses on installing, configuring, and managing VMware vSphere 8, which includes VMware ESXi 8 and VMware vCenter 8. This course prepares you to administer a vSphere infrastructure for an organization of any size. This course is the foundation for most VMware technologies in the software-defined data center. What will you learn Install and configure ESXi hosts. Deploy and configure vCenter. Create virtual networks using standard and distributed switches. Configure VMs, templates, clones, and snapshots. Manage virtual machine resource allocation. Migrate virtual machines with vSphere vMotion and vSphere Storage vMotion. VMware training course details Who will benefit: Systems administrators and engineers. Prerequisites: Introduction to data communications & networking. Windows/Linux Administration. Duration 5 days VMware training course contents Course Introduction Introductions and course logistics. Course objectives vSphere and Virtualization Overview Explain basic virtualization concepts, Describe how vSphere fits in the software-defined data center and the cloud infrastructure, Recognize the user interfaces for accessing vSphere, Explain how vSphere interacts with CPUs, memory, networks, storage, and GPUs Installing and Configuring ESXi Install an ESXi host, Recognize ESXi user account best practices, Configure the ESXi host settings using the DCUI and VMware Host Client Deploying and Configuring vCenter Recognize ESXi hosts communication with vCenter, Deploy vCenter Server Appliance, Configure vCenter settings, Use the vSphere Client to add and manage license keys, Create and organize vCenter inventory objects, Recognize the rules for applying vCenter permissions, View vCenter logs and events Configuring vSphere Networking Configure and view standard switch configurations, Configure and view distributed switch configurations, Recognize the difference between standard switches and distributed switches, Explain how to set networking policies on standard and distributed switches Configuring vSphere Storage Recognize vSphere storage technologies, Identify types of vSphere datastores, Describe Fibre Channel components and addressing, Describe iSCSI components and addressing, Configure iSCSI storage on ESXi, Create and manage VMFS datastores, Configure and manage NFS datastores Deploying Virtual Machines Create and provision VMs, Explain the importance of VMware Tools, Identify the files that make up a VM Recognize the components of a VM, Navigate the vSphere, Client and examine VM settings and options, Modify VMs by dynamically increasing resources, Create VM templates and deploy VMs from them, Clone VMs, Create customization specifications for guest operating systems, Create local, published, and subscribed content libraries, Deploy VMs from content libraries, Manage multiple versions of VM templates in content libraries Managing Virtual Machines Recognize the types of VM migrations that you can perform within a vCenter instance and across vCenter instances, Migrate VMs using vSphere vMotion, Describe the role of Enhanced vMotion Compatibility in migrations, Migrate VMs using vSphere Storage vMotion, Take a snapshot of a VM, Manage, consolidate, and delete snapshots, Describe CPU and memory concepts in relation to a virtualized environment, Describe how VMs compete for resources Define CPU and memory shares, reservations, and limits Deploying and Configuring vSphere Clusters Create a vSphere cluster enabled for vSphere DRS and vSphere HA, View information about a vSphere cluster Explain how vSphere DRS determines VM placement on hosts in the cluster, Recognize use cases for vSphere DRS settings, Monitor a vSphere DRS cluster Describe how vSphere HA responds to various types of failures, Identify options for configuring network redundancy in a vSphere HA cluster, Recognize vSphere HA design considerations, Recognize the use cases for various vSphere HA settings, Configure a vSphere HA cluster, Recognize when to use vSphere Fault Tolerance Managing the vSphere Lifecycle Enable vSphere Lifecycle Manager in a vSphere cluster, Describe features of the vCenter Update Planner, Run vCenter upgrade prechecks and interoperability reports, Recognize features of vSphere Lifecycle Manager, Distinguish between managing hosts using baselines and managing hosts using images, Describe how to update hosts using baselines, Describe ESXi images, Validate ESXi host compliance against a cluster image and update ESXi hosts, Update ESXi hosts using vSphere Lifecycle Manager, Describe vSphere Lifecycle Manager automatic recommendations, Use vSphere Lifecycle Manager to upgrade VMware Tools and VM hardware

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

This IMI qualification is designed for technicians who maintain, diagnose and repair high and low voltage operating systems on electric/hybrid vehicles. It contains the skills and knowledge required to work safely around a vehicles high and low voltage train system, whilst carrying out repairs or maintenance. This course will also cover working safely around a vehicle that may have has damage to its high energy/electrical system.

CompTIA A+ bootcamp training course description This course includes A+ Certification: Systems Hardware and Networking Support Skills and A+ Certification: Operating Systems and Security Support Skills. The course will provide IT "super users" or new support professionals with the fastest route to A+ Certification. Full practical sessions will prepare students for the two A+ Certification exams. Note: Some self-study each evening will be required. What will you learn Install, configure, and troubleshoot peripheral devices, system components, print devices, wired and wireless LAN links and internet access devices. Install, configure, and troubleshoot the Microsoft Windows, Linux, and Mac OS PC operating systems plus iOS, Android, and Windows mobile devices. Perform basic PC maintenance. Configure access control measures. Perform basic PC maintenance. CompTIA A+ bootcamp training course details Who will benefit: Students wishing to take both CompTIA A+ exams. Prerequisites: PC fundamentals Duration 5 days Networking Microsoft Systems course contents Peripherals and Adapters Motherboard Components, Connection Interfaces, Display Devices, Audio and Multimedia Devices, Removable Storage Devices. System Components Mass Storage Devices, System Memory, Processors, BIOS and UEFI, Power Supplies. Troubleshooting and Mobile Devices Troubleshooting System Components, Laptops, Mobile Devices, Troubleshooting Mobile Devices. Printer and Network Hardware Printers, Configuring Printers, Troubleshooting Printers, Network Architectures, Ethernet Networks. Networks Wireless Networks, Internet Connections, Internet Protocol, Routers and Firewalls, Troubleshooting Networks. Supporting Windows (1) Windows Operating System, Administration Tools, Managing Storage, Managing Files, Managing Applications. Supporting Windows (2) Managing Devices, Managing Performance, Troubleshooting Windows, Installing Windows. Supporting Windows Troubleshooting Boot Problems, Maintenance and Backup, Threats and Vulnerabilities, Viruses and Malware, Securing Workstations, Securing Data. Supporting Windows Networks Configuring Network Connections, Securing Network Connections, Configuring Shared Resources, Virtualization and Services. Linux, OS X, and Mobile OS Linux Operating System, OS X, Mobile Operating Systems, Mobile OS Security and Troubleshooting, Safety and Environmental Procedures, Professionalism and Communication.

Elevate your knowledge in gas lift design optimization with EnergyEdge's classroom training. Join us to stay ahead in the industry!

Enhance oilfield production with our Artificial Lift and Real-Time Production Optimization course. Join EnergyEdge's classroom training for expert insights.

This course bundle is aimed at absolute beginners to IT who want to start a career in Cisco networking or just develop their skills in this area. The course assumes you have no technical knowledge of IT whatsoever. To understand Cisco networking and practice it at a technical level, you must first possess an understanding of basic IT literacy as well as certain technologies, which you will be taught through this course. Through this course, you will gain a series of globally recognised networking certifications from CompTIA and Cisco. You will also possess a set of networking skills you can apply to a vast range of IT job roles. From the beginning, we teach you about basic IT literacy, basic software features and functions, basic networking, operating systems, and basic security threats. From there, the course steps up a notch exploring these areas in more depth. As you progress through the various stages, your knowledge of networking will gradually begin to develop. The course bundle is comprised of five separate courses in total. Once of which is skills based only with no exam, and four certification courses with a final exam after each course. The final course being the Cisco Certified Networking Associate (CCNA). The first course (CompTIA IT Fundamentals) provides a soft introduction to basic IT terminology, concepts and technology. To help you grasp the concepts and develop the skills within the course, simulators are also included. These allow you to practice your networking skills learnt on the course. In the IT world, these simulators are otherwise known as ‘Live Labs’.