Name: Network automation demystified
Price: 797 GBP
Availability: InStock

Manchester

<div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">REFERENCE CODE</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">603/2369/3</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE LEVEL</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">NVQ Level 2</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">THIS COURSE IS AVAILABLE IN</strong></p><img src="https://oscaronsite.co.uk/wp-content/uploads/2022/08/flag_img.png" alt="image" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></div><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><h5 style="color: rgb(27, 26, 26); box-sizing: border-box;" fr-original-style=" color: rgb(27, 26, 26);">Course Overview</h5><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This qualification is aimed those who carry out activities in the Construction Industry working with Glass Reinforced Plastics (GRP) products. The qualification has a core group of 5 mandatory units that cover the generic areas including Health and Safety, transport and storage of tools, materials and equipment, checking and confirming the job specification and communication skills. The qualification also has a group of optional units that cover preparation, positioning, testing, installation and assembly. The qualification, along with the required separate proof of Health and Safety knowledge will give candidates a route to the relevant CSCS card required for site access.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></div>

Oscar Onsite

NVQ CERTIFICATE IN GLASS REINFORCED PLASTICS (GRP) OCCUPATIONS

Redhill

<h3><b>Advanced Python training course description</b></h3>
      <p> 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.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
   <li>Write Python modules and functions.</li>
<li>Evaluate techniques to parse unstructured data.</li>
<li>Use NETCONF filters.</li>
<li>Handle Python errors effectively (try, assertâ¦).</li>
<li>Use postman.</li>
<li>Automate testing and validation of the network.</li>
<li>Use scrapli, Genie, batfish and Suzieq. </li>
                  </ul>
        <h5>
        <b>Advanced Python training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Network engineers.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Python for network engineers</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Advanced Python training course contents</b></h3>
      <ul>
		<li>Review</li><p>
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. <br /><span>Hands on:</span> scrapli, Dictionaries
versus Regular Expressions.

		  </p><li>Modules and Functions</li><p>
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.
<br /><span>Hands on:</span> Getting interfaces, showing interface
status using Netmiko and functions. Using
dictionaries as arguments. Writing your own
modules.

		  </p><li>Parsing strategies</li><p>
Turning unstructured data into structured data.
textfsm, PyATS Genie parser, NAPALM getters,
Template Text Parser. <br /><span>Hands on:</span> Genie parser,
TTP. Accessing structured data with lists and
dictionaries.

				</p><li>Classes, objects and Python</li><p>
Python classes in Genie, PyEZ and others .
<br /><span>Hands on:</span> studying network automation classes,
objects, methods and attributes.

			</p><li>Configuration management - more nornir, ncclient,
requests</li><p>
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. <br /><span>Hands
on:</span> Nornir and Jinja2. Exploring available models,
NETCONF filters. Using postman.

		</p><li>Python error handling and debugging</li><p>
Context handlers, try, assert, logging, pdb, pytest,
unit testing, chatgpt. <br /><span>Hands on:</span> Writing code with
each of the error handling methods, investigating
what happens on an error. Use chatgpt to debug
your code.

	</p><li>Python Automation Testing</li><p>
Testing and validation. pyATS, Genie. Testbed
file. Genie parse, genie learn, genie diff. Genie
conf, Genie ops, Genie SDK, Genie harness.
Xpresso. <br /><span>Hands on:</span> Using Genie for state
comparisons of the network.

	</p><li>Network analysis</li><p>
Batfish, pybatfish, configuration analysis,
analysing routing, analysing ACLs. Pandas.
Pandas dataframe. Filtering and selecting values
of interest. <br /><span>Hands on:</span> Use Batfish to analyse
network snapshots, find network adjacencies, flow
path analysis.

	</p><li>Network observability</li><p>
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. <br /><span>Hands on:</span> Suzieq: Gathering data from
the network, analysing data from the network.
Network state assertion.

	</p><li>Telemetry</li><p>
gRPC, gNMI. CAP, GET, SET. Subscriptions.
Model Driven telemetry.<br /><span> Hands on:</span> Analysing
telemetry data with Python.

		</p><li>Concurrency</li><p>
asyncio, threads, processes. Nornir concurrency.
Scrapli and netmiko concurrency. <br /><span>Hands on:</span>
Multiple SSH connections to devices at same
time. Scarpli asyncio.
		

</p>
      </ul>

Systems & Network Training

Network & Security

Network Engineer

Advanced Python for network engineers

General Admission

<h3><b>Network management technologies course description</b></h3>
        <p>A comprehensive tour of the available network
management technologies available for todays
networks. The course starts with basic tools such as
syslog along with Python network automation. SNMP is
then covered with the *flow technologies and streaming
telemetry. Configuration management with ansible,
Python, NETCONF and RESTCONF is then studied.
The final part of the course looks at SDN. Hands on
sessions are used throughout to reinforce the theory
rather than teach specific manufacturer equipment.
Note that sections are available as individual courses.
</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
     <li> Evaluate network management technologies.</li>
           					 <li> Evaluate network management technologies.</li>
<li> Recognise the weaknesses of SNMP versus
NETCONF and streaming telemetry.</li>
<li>Explain the role of NETCONF and RESTCONF.</li>
<li>Compare &amp; contrast *flow and streaming telemetry.</li>
<li> Explain the role of SDN in network management.</li>
<li>Automate network configuration with ansible and
Python.
</li>
                  </ul>
        <h5>
        <b>Network management technologies course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
							<p>Those wishing to manage networks.<br />(Previous Python experience is NOT needed)
</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Intro to data comms</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days</p>
              
							
              
              
						</ul>
					</div>
				</div>
			
				 <h3><b>Network management technologies course content</b></h3>
				<h4>Basic network management</h4>

				 <ul>
		<li>Network management</li><p>
What is network management? Benefits, issues.
FCAPS model. Fault management, Configuration
management, accounting, performance, security.
What to manage, what not to manage. Managing
network devices, managing servers.</p>
				</ul>
<h4>Monitoring networks</h4> <ul>					 
<li>Traditional network tools</li><p>
Ping..., SSH, syslog, TFTP for configurations.
nmap. Wireshark. CLI. Web based management.
Splunk. Nessus, snort, Kali. 
<br /><span>Hands on</span> syslog, network inventories.

</p> </ul> <ul><li>Network automation using the CLI</li><p>
Programming and automating networks, netOps.
Python, Git. Python network modules, SSH,
paramiko, netmiko. EVE-NG.
<br /><span>Hands on</span>Python
network modules.

</p></ul> <ul><li>Structured versus unstructured data</li><p>
				
Problems with automation and unstructured data.
XML, JSON, YAML. The role of YANG. <br /><span>Hands on</span>
Parsing data.
				
</p></ul> <ul><li>SNMP</li><p>
SNMP architecture, SNMP MIBs, SMI, the SNMP
protocol, polling security. Configuring SNMP.
SNMPv1, v2, v3, SNMP security. Which version
should you use? MIBs and MIB structure. mib-2,
extra parts of mib-2, Private enterprise MIBs.
Summary: What SNMP is good/bad at.<br /><span>Hands on</span>
Configuring agents and a NMS. MIB browsing.
				
</p></ul> <ul><li>Server management</li><p>
Microsoft, Linux, application polling. WMI vs
SNMP. Hands on: Application polling.</p></ul>
				
<h4>Performance management</h4>
 <ul><li>*flow</li><p>
Polling, push vs pull, netflow, sflow, IPFIX, *flow.
Flows. Where to monitor traffic. Comparing *flow
with SNMP. Architecture: Generators and
collectors. When flows are exported. NetFlow
reporting products. SolarWinds. <br /><span>Hands on</span> Netflow
configuration. Collectors.

</p></ul> <ul><li>Streaming telemetry</li><p>
Model driven telemetry, periodic/on change.
Structured data. Telemetry protocol stack. gRPC
and gNMI. Protobuf. gNMI operations. Telemetry
architecture. Telegraf, databases, Grafana. <br /><span>Hands on</span> Telemetry example.
</p></ul>		
<h4>Configuration management</h4>
 <ul><li>Configuration management tools</li><p>
Chef, puppet, ansible, saltstack. Ansible
architecture, controlling machines, nodes,
agentless, SSH, modules. Inventories, playbooks,
modules, network modules, jinja2 templates.
<br /><span>Hands on</span> Network configuration with ansible.
	
</p></ul> <ul><li>NETCONF</li><p>
What is NETCONF? Protocol stack, Data stores,
traffic flows, validating configurations, rollback.
YANG data models and how YANG is used by
NETCONF. XML. Explorers and other tools.
<br /><span>Hands on</span> anx, Python and NETCONF.

</p></ul> <ul><li>RESTCONF</li><p>
The REST API, HTTP, What is RESTCONF?
Tools including Postman. Comparison with
NETCONF. <br /><span>Hands on</span> Configuration with
RESTCONF.
	
</p></ul> <ul><li>Python network automation: configuration</li><p>
SSH issues. Using structured data. Jinja2.
ncclient, requests, NAPALM, Nornir. Automated
testing. <br /><span>Hands on</span> Python network device
configuration with nornir.</p></ul>
	
<h4>Software Defined Networks and orchestration</h4>
 <ul><li>Classic SDN</li><p>
What is SDN? benefits. SDN architecture. SDN
applications, SDN switches, SDN controllers,
Network Operating Systems. Control plane, data
plane. Northbound interfaces. SDN components.
Southbound interfaces. OpenFlow. ONF,
OpenFlow ports, Flow tables.
	
</p></ul> <ul><li>Network virtualization</li><p>
Virtual networks, virtual switches, NfV. Service
chaining. NfV and SDN.
	
</p></ul> <ul><li>SDN implementations</li><p>
Classic SDN, Hybrid SDN, SDN via APIs, SDN
via overlays. Data centre SDN, VXLAN, Service
Provider SDN, SD WAN, Enterprise SDN, WiFi.
	
</p></ul> <ul><li>SDN and open source</li><p>
OpenDaylight, OpenVSwitch, Open Networking
Forum, Open Network Operating System.<br /><span>Hands on</span>OpenStack.
	
</p></ul> <ul><li>SD-WAN</li><p>
What is SD-WAN? Architecture: Edge, gateway,
orchestrator, controller. Overlay and underlay.
Use of MPLS, 4G/5G. Benefits and features.
Secure Access Service Edge (SASE).
</p>
     
      
				
				
				   </ul>

Network management technologies

<h3><b>Streaming telemetry training course description</b></h3>
        <p>  An introduction to streaming telemetry. The course
progresses from a brief look at the weaknesses of
SNMP onto what streaming telemetry is, how it differs
from the xflow technologies, the data formats available
and how to configure it.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
   <li> Describe streaming telemetry.</li>
           					 <li> Explain how streaming telemetry works.</li>
                 <li> Describe the data presentation formats available.</li>
           					 <li> Configure streaming telemetry.</li>
                  </ul>
        <h5>
        <b>Streaming telemetry training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Network engineers.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>TCP/IP foundation for engineers.</p>
              
							<li><b>Duration</b></li>
							
              <p>1 day</p>
              
							
              
              
						</ul>
					</div>
				</div>
			
				 <h3><b>Streaming telemetry training course content</b></h3>
      <ul>
				<li>What is streaming telemetry?</li><p>
SNMP weaknesses, Netflow, sflow, polling and the
old models, push vs pull, What is streaming
telemetry?
				</p><li>Telemetry streaming architecture</li><p>
Model driven versus event driven telemetry,
subscriptions, publications. Periodic versus on
change, model selection and scalability.
Telemetry streaming protocols
TCP, UDP, SSH, HTTP, HTTP2, NETCONF,
RESTCONF, gRPC, gNMI.
</p><li>Models and Encoding</li><p>
The role of YANG. YANG models and tools. XML/
NETCONF, JSON/RESTCONF, JSON over UDP.
Protocol buffers/gRPC.
</p><li>Google Protocol Buffers</li><p>
Decoder ring, protocol definition file. GPB-KV,
GPB-Compact. Keys.
</p><li>Streaming telemetry configuration</li><p>
Router: Destination, Sensor, subscription.
Collector: YANG models, .proto file. Pipeline.
ELK: Consume, store, visualise streaming data.
</p><li>Collection tools</li><p>
APIs, YANG development Kit, Downstream
consumers, influxdata, Grafana, Kafka,
Prometheus, others.
</p>
      </ul>

Streaming telemetry for engineers

<h3><b>Network automation training course description</b></h3> 
				<p> This course concentrates on the technical side of tools
and languages for network DevOps rather than the soft
skills. These tools include Python, Ansible, Git and
NAPALM
By the end of the course delegates should be able to
recognise the tools that they can use to automate their
networks and be able to use the knowledge gained to
feel confident approaching network automation.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
          <li>Describe network DevOps.</li>
					<li>Choose network automation tools.</li>
                    <li>Explain the role of various network automation
technologies including:<br />

                    Python<br />
                   Ansible<br />
                    Git<br />
											NAPALM</li>
                    </ul>
       
        <h5>
        <b>Network automation training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Those wishing to learn about the tools of network
automation.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Introduction to data communications.</p>
              
							<li><b>Duration</b></li>
							
              <p>1 day
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Network automation training course contents</b></h3>
      <ul>
				<li>What is DevOps and network automation</li><p>
Programming and automating networks, networks
and clouds, AWS, OpenStack, SDN, DevOps for
network operations. Unit testing. Hype vs reality.
Benefits and features.
				</p><li>Network monitoring and troubleshooting</li><p>
Traditional methods, SNMP. Netflow and xflow.
Traditional automation. Streaming telemetry.
Event driven automation. gRPC, Protocol buffers.
</p><li>Configuration management</li><p>
Catch 22 and initial configuration. ZTP, POAP.
Traditional automation. TFTP. Ansible vs the rest
(chef, salt, puppet). Jinja2 and templating. How
ansible works.
</p><li>Network programmability</li><p>
Programming languages. Linux, shell scripting.
Python vs the rest. Off box vs on box automation.
</p><li>Python network libraries</li><p>
Sockets pysnmp, ncclient, paramiko, netmiko,
pyez, NAPALM.
</p><li>APIs</li><p>
Proprietary APIs, CLI, NETCONF, RETCONF.
YANG, XML, YAML, JSON.
</p><li>Other tools</li><p>
Git, GitHub, Jenkins, JIRA and others.

</p>
      </ul>

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NVQ CERTIFICATE IN GLASS REINFORCED PLASTICS (GRP) OCCUPATIONS

By Oscar Onsite

Advanced Python for network engineers

By Systems & Network Training

Network management technologies

By Systems & Network Training

Streaming telemetry for engineers

By Systems & Network Training

Network automation demystified

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