Overview The course introduces the participants to the importance of personnel in any organisation, and the systematic processes of handling personnel to bring out the best in them in order to achieve the objectives of the organisation is the responsibility of the holder of this certificate. The course curriculum covers human resource planning; recruitment and selection; employee training and development; employee health and safety etc.
About this training course This 5 full-day course will cover all aspects of gas turbines, co-generation and combined cycle power plants. It will cover in detail all the components of these types of power plants such as: compressors, gas and steam turbines, heat recovery steam generators, deaerators, condensers, lubricating systems, instrumentation, control systems, and economics. The design, selection considerations, operation, maintenance, pay-back period, economics of co-generation plants and combined cycles, as well as, emission limits, reliability, monitoring and governing systems are also covered in detail. This course will also provide up-dated information in respect to all the significant improvements that have been made to co-generation and combined cycles power plants, during the last two decades. The course will illustrate through sophisticated computer simulation how gas turbines, co-generation and combined cycle plants perform under steady-state and transient conditions. In addition, the participants will learn how to use the computer simulation program which provides the following benefits: Allow the operator to extend the gas turbine operating period by avoiding unnecessary outages and maintenance activities. Determination of essential gas turbine maintenance activities to reduce the duration of outages. Profit optimization of co-generation and combined cycle plants. Minimization of the environmental emissions of co-generation and combined cycle plants. Training Objectives Power Plant Computer simulation: Gain a thorough understanding of computer simulation of gas turbines, co-generation, and combined cycle plants. Power Plant Components and Systems: Learn about all components and subsystems of the various types of power plants such as gas turbines, co-generation and combined cycle plants Power Plants Economics: Examine the advantages, applications, performance and economics of power plants such as: gas turbines, co-generation, and combined cycle plants Power Plant Equipment: Learn about various power plant equipment including: compressors, turbines, governing systems, combustors, deaerators, feed water heaters, etc. Power Plant Maintenance: Learn all the maintenance activities required for power plants such as: gas turbines, co-generation plants and combined cycles to minimize their operating cost and maximize their efficiency, reliability, and longevity Power Plant Environmental Emissions: Learn about the monitoring and control of environmental emissions. Power Plant Instrumentation and Control Systems: Learn about the latest instrumentation and control systems of gas turbines, co-generation and combined cycles power plants Power Plant Reliability and Testing: Increase your knowledge of power plant predictive and preventive maintenance, reliability and testing. Power Plant Selection and Applications: Gain a detailed understanding of the selection considerations and applications of power plants such as: gas turbines, co-generation and combined-cycle power plants Power Plant Profitability: Learn about the reliability, life cycle cost, profitability, refurbishment, and life extension methods for gas turbines, co-generation and combined cycle power plants. Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Course Level Basic or Foundation Training Methods Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all 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 to their own organization. Each delegate will receive a copy of the following materials written by the instructor: 'POWER GENERATION HANDBOOK' second edition, published by McGraw-Hill in 2012 (800 pages) Practical manual (500 pages) Trainer Your specialist course leader has more than 32 years of practical engineering experience with Ontario Power Generation (OPG), one of the largest electric utility in North America. He was previously involved in research on power generation equipment with Atomic Energy of Canada Limited at their Chalk River and Whiteshell Nuclear Research Laboratories. While working at OPG, he acted as a Training Manager, Engineering Supervisor, System Responsible Engineer and Design Engineer. During the period of time, he worked as a Field Engineer and Design Engineer, he was responsible for the operation, maintenance, diagnostics, and testing of gas turbines, steam turbines, generators, motors, transformers, inverters, valves, pumps, compressors, instrumentation and control systems. Further, his responsibilities included designing, engineering, diagnosing equipment problems and recommending solutions to repair deficiencies and improve system performance, supervising engineers, setting up preventive maintenance programs, writing Operating and Design Manuals, and commissioning new equipment. Later, he worked as the manager of a section dedicated to providing training for the staff at the power stations. The training provided by him covered in detail the various equipment and systems used in power stations. In addition, he has taught courses and seminars to more than four thousand working engineers and professionals around the world, specifically Europe and North America. He has been consistently ranked as 'Excellent' or 'Very Good' by the delegates who attended his seminars and lectures. He written 5 books for working engineers from which 3 have been published by McGraw-Hill, New York. Below is a list of the books authored by him; Power Generation Handbook: Gas Turbines, Steam Power Plants, Co-generation, and Combined Cycles, second edition, (800 pages), McGraw-Hill, New York, October 2011. Electrical Equipment Handbook (600 pages), McGraw-Hill, New York, March 2003. Power Plant Equipment Operation and Maintenance Guide (800 pages), McGraw-Hill, New York, January 2012. Industrial Instrumentation and Modern Control Systems (400 pages), Custom Publishing, University of Toronto, University of Toronto Custom Publishing (1999). Industrial Equipment (600 pages), Custom Publishing, University of Toronto, University of Toronto, University of Toronto Custom Publishing (1999). Furthermore, he has received the following awards: The first 'Excellence in Teaching' award offered by PowerEdge, Singapore, in December 2016 The first 'Excellence in Teaching' award offered by the Professional Development Center at University of Toronto (May, 1996). The 'Excellence in Teaching Award' in April 2007 offered by TUV Akademie (TUV Akademie is one of the largest Professional Development centre in world, it is based in Germany and the United Arab Emirates, and provides engineering training to engineers and managers across Europe and the Middle East). Awarded graduation 'With Distinction' from Dalhousie University when completed Bachelor of Engineering degree (1983). Lastly, he was awarded his Bachelor of Engineering Degree 'with distinction' from Dalhousie University, Halifax, Nova Scotia, Canada. He also received a Master of Applied Science in Engineering (M.A.Sc.) from the University of Ottawa, Canada. He is also a member of the Association of Professional Engineers in the province of Ontario, Canada. 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 The Seismic Uncertainty Evaluation (SUE) course has evolved after a number of years of work experience in the sub-surface domain. A common question closely related to well planning is the quantification and qualification of depth uncertainty and robust estimation of the volumetric ranges, and this course addresses these topics. Training Objectives Upon completion of this course, participants will be able to: Define a structured approach toward seismic depth uncertainty analysis Construct data analytics on seismic products (well logs, velocities, and seismic) Classify advance vertical ray tomography on FWI models to assure a drill ready depth seismic, faults, surfaces, and logs Interpret probabilistic volumetric and automatic spill point control, amplitude conformance closures De-risk the depth uncertainty by providing drilling and completion with a risking score card Target Audience This course is intended for individuals who needs to understand the basic theory and procedures for assessment/ quantification/qualification of all drill-ready products (seismic, faults, horizons, etc.) Geologist Geophysicist Reservoir engineer Drilling engineer Course Level Intermediate Trainer Your expert course leader is a cross-functional Geoscientist and Published Author with 27 years of international experience working in Upstream Petroleum Exploration and Production for Oil and Gas Companies in Australia, India, Singapore, Saudi Arabia, and Oman. During his career he actively supported field development, static & dynamic reservoir modelling & well planning, 3D Seismic data acquisition with Schlumberger & SVUL, 3D seismic data processing with CGG & interpretation, Q.I. and field development with Woodside, Applied Geoscience, and Reliance. 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
Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assertâ¦). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.
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
Overview In this competitive era, it is very important to continuously upgrade the skills to lead successful and high-performing careers. The course Effective Leadership Skills and Team Building is designed to improve leadership skills and lead high-performing teams. The course is designed with a lot of training exercises, techniques, strategies and all other essential tools to learn to enhance skills to lead effectively and to become successful managers and team leaders.
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About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 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
Overview By the end of this Fundamentals of Transfer Pricing Strategies training course, participants will be able to: Acquire basic technical knowledge of transfer pricing Appreciate the importance of the arm's length principle Identify the different stages of a typical transfer pricing analysis Developing a high-level appreciation of the transfer pricing including tax areas and opportunities for multinationals Analyze the current transfer pricing legislative framework Be updated on recent developments in transfer pricing
Cyber security training course description This cyber security course focusses on the network side of security. Technologies rather than specific products are studied focussing around the protection of networks using firewalls and VPNs. What will you learn Describe: - Basic security attacks - RADIUS - SSL - VPNs Deploy firewalls and secure networks Explain how the various technologies involved in an IP VPN work. Describe and implement: - L2TP - IPsec - SSL - MPLS, L3, VPNs. Cyber security training course details Who will benefit: Anyone working in the security field. Prerequisites: TCP/IP foundation for engineers Duration 5 days Cyber security training course contents Security review Denial of service, DDOS, data manipulation, data theft, data destruction, security checklists, incident response. Security exploits IP spoofing, SYN attacks, hijacking, reflectors and amplification, keeping up to date with new threats. Hands on port scanning, use a 'hacking' tool. Client and Server security Windows, Linux, Log files, syslogd, accounts, data security. Hands on Server hardening. Firewall introduction What is a firewall? Firewall benefits, concepts. HAnds on launching various attacks on a target. Firewall types Packet filtering, SPI, Proxy, Personal. Software firewalls, hardware firewalls. Firewall products. Hands on Simple personal firewall configuration. Packet filtering firewalls Things to filter in the IP header, stateless vs. stateful filtering. ACLs. Advantages of packet filtering. Hands on Configuring packet filtering firewalls. Stateful packet filtering Stateful algorithms, packet-by-packet inspection, application content filtering, tracks, special handling (fragments, IP options), sessions with TCP and UDP. Firewall hacking detection: SYN attacks, SSL, SSH interception. Hands on SPI firewalls. Proxy firewalls Circuit level, application level, SOCKS. Proxy firewall plusses and minuses. Hands on Proxy firewalls. Firewall architectures Small office, enterprise, service provider, what is a DMZ? DMZ architectures, bastion hosts, multi DMZ. Virtual firewalls, transparent firewalls. Dual firewall design, high availability, load balancing, VRRP. Hands on Resilient firewall architecture. Testing firewalls Configuration checklist, testing procedure, monitoring firewalls, logging, syslog. Hands on Testing firewalls. Encryption Encryption keys, Encryption strengths, Secret key vs Public key, algorithms, systems, SSL, SSH, Public Key Infrastructures. Hands on Password cracking. Authentication Types of authentication, Securid, Biometrics, PGP, Digital certificates, X.509 v3, Certificate authorities, CRLs, RADIUS. Hands on Using certificates. VPN overview What is a VPN? What is an IP VPN? VPNs vs. Private Data Networks, Internet VPNs, Intranet VPNs, Remote access VPNs, Site to site VPNs, VPN benefits and disadvantages. VPN Tunnelling VPN components, VPN tunnels, tunnel sources, tunnel end points, tunnelling topologies, tunnelling protocols, which tunnelling protocol? Requirements of tunnels. L2TP Overview, components, how it works, security, packet authentication, L2TP/IPsec, L2TP/PPP, L2 vs L3 tunnelling. Hands on Implementing a L2TP tunnel. IPsec AH, HMAC, ESP, transport and tunnel modes, Security Association, encryption and authentication algorithms, manual vs automated key exchange, NAT and other issues. Hands on Implementing an IPsec VPN. SSL VPNs Layer 4 VPNs, advantages, disadvantages. SSL. TLS. TLS negotiation, TLS authentication. TLS and certificates. Hands on Implementing a SSL VPN. MPLS VPNs Introduction to MPLS, why use MPLS, Headers, architecture, label switching, LDP, MPLS VPNs, L2 versus L3 VPNs. Point to point versus multipoint MPLS VPNs. MBGP and VRFs and their use in MPLS VPNs. Hands on Implementing a MPLS L3 VPN. Penetration testing Hacking webservers, web applications, Wireless networks and mobile platforms. Concepts, threats, methodology. Hands on Hacking tools and countermeasures.