25978 TEC courses in Nottingham delivered Online

About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader 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. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. 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

About this Training Course Oil & Gas professionals increasingly need to translate complex findings, analysis and recommendations for effective decision-making. If you face challenges in getting your findings into paper, you will benefit from this training course. The Technical Report Writing and Presentation Skills for Oil & Gas Engineers and Technical Professionals course focuses on the unique needs of technical professionals who write for both technical and non-technical readers. This separately bookable training course will demonstrate how technical professionals can use their technical knowledge and logical edge to write in a reader-friendly style, produce grammatically accurate reports and persuasively communicate for buy-in purposes. An ILM Recognised programme. Training Objectives LEARNING OUTCOMES FOR TECHNICAL REPORT WRITING SKILLS By the end of this course, participants will be able to: Write and turn-around accurate technical documents quickly to meet deadlines and productivity goals Understand how technical reports should be structured by applying a systematic approach to the writing task, involving planning, drafting, revision and production Use clear & powerful language to target and persuade readers for positive results Use tried and tested proof reading techniques to check and review documents more effectively Identify and avoid common pitfalls in technical report writing LEARNING OUTCOMES FOR TECHNICAL PRESENTATION SKILLS By the end of this course, participants will be able to: Present and sell your technical presentation more effectively both internally and externally Plan and structure your meetings and presentations for maximum effect Capture your technical and non-technical audience by delivering your presentation with power and authority Handle questions, interruptions and objections with confidence Target Audience This programme has been researched and developed for all Oil & Gas Engineers and Technical Professionals Course Level Basic or Foundation Trainer Your course leader managed the Business Skills Unit of the British Council programmes as well as oversee all training-related matters from 1997. The trainer considers himself a trainer first and specialises predominantly in high-level writing and technical report writing programmes. In addition to conducting training in Technical Writing, the trainer has also been the chief editor for many large writing projects. These include a year-long project editing the entire Start-Up Manual (including the Black Start Manual) for Nippon Oil's Helang Integrated Platform, a 4-month project rewriting the manuals for the Puteri Dulang FSO off Terengganu, and editing the current revision of the PETRONAS Procedures and Guidelines for Upstream Activities (PPGUA). 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 C++ training course description The course will give a broad overview of the C++ Programming language, focusing on modern C++, up to C++17. This course will cover the use of the Standard Library, including containers, iterator, function objects and algorithms. From the perspective of application development, a number of design patterns will be considered. What will you learn Write C++ programs using the more esoteric language features. Utilise OO techniques to design C++ programs. Use the standard C++ library. Exploit advanced C++ techniques Advanced C++ training course details Who will benefit: Programmers needing to write C++ code. Programmers needing to maintain C++ code. Prerequisites: C++ programming foundation. Duration 5 days Advanced C++ training course contents Study of a string class Create a string class as a means to investigate many issues, involving the use of operator overloading and including overloading new and delete. Creation of the class will also require consideration of 'const correctness'. Exception handling Consider the issues involved in exception handling including the concept of exception safety. Templates Review definition of template functions, including template parameter type deduction. Introduction to template metaprogramming. Newer features including template template parameters and variadic templates. Creation of template classes. Design patterns Introduction to Design Patterns and consideration of a number of patterns, such as, factory method, builder, singleton and adapter. The standard C++ library (STL) Standard Library features, such as, Containers, Iterator, Function Objects and Algorithms. Introduction to Lambda expressions. C++ and performance The writing of code throughout the course will be oriented towards performant code, including use of R Value references and 'move' semantics. Pointers The use of pointers will be considered throughout the course. Smart pointers will be considered to improve program safety and help avoid the use of 'raw' pointers. Threading This section will consider the creation of threads and synchronisation issues. A number of synchronisation primitives will be considered. Async and the use of Atomic will also be considered. New ANSI C++ features Summarising some of the newer features to be considered are: Auto, Lambdas expression, smart pointers, variadic templates and folds, R Value references and tuple together with structured binding.

UNIX Virtualization and High Availability course description This course covers administering UNIX enterprise-wide with an emphasis on virtualization and high availability. What will you learn Manage Virtual Machines. Manage containers. Manage HA clusters. Manage HA cluster storage. UNIX Virtualization and High Availability course details Who will benefit: Enterprise-level UNIX professional. UNIX professionals working with virtualization and/or High availability. Prerequisites: Linux network administration 2 (LPIC-2) Duration 5 days UNIX Virtualization and High Availability course contents VIRTUALIZATION Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. Containers Containers versus VMs, Docker, Kubernetes. Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). HIGH AVAILABILITY CLUSTER STORAGE DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

CWSP training course description A hands-on training course concentrating solely on WiFi security with an emphasis on the delegates learning the necessary knowledge and skills to pass the CWSP exam. The course progresses from simple authentication, encryption and key management onto in depth coverage of 802.X and EAP along with many other security solutions such as access control, intrusion prevention and secure roaming. What will you learn Demonstrate the threats to WiFi networks. Secure WiFi networks. Configure: WPA2 RADIUS 802.1x EAP Pass the CWSP exam. CWSP training course details Who will benefit: Technical network staff. Technical security staff. Prerequisites: Certified Wireless Network Associate. Duration 5 days CWSP training course contents WLAN Security overview Standards, security basics, AAA, 802.11 security history. Hands on WLAN connectivity. Legacy 802.11 security Authentication: Open system, shared key. WEP. VPNs. MAC filters. SSID segmentation, SSID cloaking. Hands on Analysing 802.11 frame exchanges, viewing hidden SSIDs. Encryption Basics, AES, TKIP, CCMP, WPA, WPA2. Hands on Decrypting 802.11 data frames. 802.11 layer 2 authentication 802.1X: Supplicant, Authenticator, Authentication server. Credentials. Legacy authentication. EAP, Weak EAP protocols, Strong EAP protocols: EAP -PEAP, EAP-TTLS, EAP-TLS, EAP-FAST. Hands on Analysing 802.1X/EAP frames. 802.11 layer 2 dynamic key generation Robust Security Network. Hands on Authentication and key management. SOHO 802.11 security WPA/WPA2 personal, Preshared Keys, WiFi Protected Setup (WPS). Hands on PSK mapping. WLAN security infrastructure DS, Autonomous APs, WLAN controllers, split MAC, mesh, bridging, location based access control. Resilience. Wireless network management system. RADIUS/LDAP servers, PKI, RBAC. Hands on 802.1X/EAP configuration. RADIUS configuration. 802.11 Fast secure roaming History, RSNA, OKC, Fast BSS transition, 802.11k. Hands on Roaming. Wireless security risks Rogue devices, rogue prevention. Eavesdropping, DOS attacks. Public access and hotspots. Hands on Backtrack. WiFi security auditing Layer 1 audit, layer 2 audit, pen testing. WLAN security auditing tools. WiFi security monitoring Wireless Intrusion Detection and Prevention Systems. Device classification, WIDS/WIPS analysis. Monitoring. 802.11w. Hands on Laptop spectrum analysers. VPNs, remote access, guest access Role of VPNs in 802.11, remote access, hotspots, captive portal. Wireless security policies General policy, functional policy, recommendations.

Linux virtualization and HA training course description The LPIC-3 certification is the culmination of LPI's multi -level professional certification program. LPIC-3 is designed for the enterprise-level Linux professional and represents the highest level of professional, distribution neutral Linux certification within the industry. LPIC-3 304 covers administering Linux enterprise-wide with an emphasis on virtualization and high availability. At SNT we have enhanced the contents of the course by covering containers. What will you learn Manage Virtual Machines. Manage containers. Manage HA clusters. Manage HA cluster storage. Linux virtualization and HA training course details Who will benefit: Linux professionals working with virtualization and/or High availability. Prerequisites: Linux network administration 2 (LPIC-2) Duration 5 days Linux virtualization and HA training course contents VIRTUALIZATION Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. Containers Containers versus VMs, Docker, Kubernetes. Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). HIGH AVAILABILITY CLUSTER STORAGE DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.

Advanced TCP/IP training course description An intensive advanced TCP/IP course focusing on the details of the protocols according to the RFCs. This course is designed to go into the technical details of the protocols and is not for those that are new to TCP/IP. A particular focus is on TCP and performance. Those more interested in routing protocols should see our Definitive IP routing for engineers course. It is expected that delegates are totally familiar with configuration addressing. Hands on sessions consist of protocol analysis using Wireshark. What will you learn Analyse packets and protocols in detail. Troubleshoot networks using Wireshark. Find performance problems using Wireshark. Perform network forensics. Advanced TCP/IP training course details Who will benefit: Advanced technical staff. Prerequisites: TCP/IP Foundation for engineers Duration 5 days Advanced TCP/IP training course contents IP Fragmentation and MTU issues, Path MTU discovery, Geolocation, unusual IP addresses, forwarding broadcasts, DiffServ, DSCP, ECN, assured and expedited forwarding. TTL usage in traceroute, Protocol field. Sanitising IP addresses in trace files. Wireshark and checksum errors. IPv6 The header. Extension headers. Traffic class and flow labels. Tunnelling. IPv6 and fragmentation. ARP Requests, responses, gratuitous ARP, Proxy ARP, ARP poisoning. ICMP ping, Round Trip Times, ICMP redirect, ICMP router advertisement and solicitation, Time Exceeded, Destination unreachable. ICMPv6: Similarity to ICMPv4, Neighbor discovery and the replacement of ARP. MLD. First hop redundancy ICMP discovery, HSRP, VRRP, GLBP. IGMP Multicast overview, multicast architecture, multicast addresses, IGMP v1, IGMPv2, IGMPv3. UDP Use in broadcasts and multicasts. Port numbers. TCP Connections, RST, FIN, sequence numbering, packet loss recovery, Fast recovery, RTO timeout, SACK, TCP flow control, receive window, congestion window, van Jacobsen, nagle, delayed ACKs, PSH, URG, TCP options, MSS, Window scaling, TCP timestamps. Congestion notification. Hands on Troubleshooting with sequence numbers, Wireshark IO and TCP graphs to analyse performance. Window size issues. DHCP DHCP header. Relationship to BOOTP. Discover, offer, request, decline, ACK, release. Lease, renewal and rebind times. Relay agents. DHCPv6 DNS Names and addresses, Resource Records, queries, responses, problems. MDNS. HTTP Requests, methods, request modifiers, response codes. HTTPS. SSL, TLS. Proxies. Hands on Redirects, recreating pages from packets. FTP Commands, responses, passive/active mode. Email SMTP, POP3, IMAP, commands responses. Voice and Video RTP, RTCP, SIP. IP PBXs. Traffic flows. Hands on Voice playback. SNMP MIBs, GET, TRAP, polling. Performance Baselining, high latency, Wireshark and timings, packet loss, redirections, small packets, congestion, name resolution. Security Network forensics, scanning and discovery, suspect traffic. IPsec, SSH.

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.

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