Name: CCNP core
Price: 3697 GBP
Availability: InStock

Kuala Lumpur

<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><h2 style="color: rgb(62, 57, 52); box-sizing: border-box;" fr-original-style=" color: rgb(62, 57, 52);">About this Classroom Training</h2>In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector. Its widespread adoption is attributed to extensive libraries, versatility, and a thriving community of developers consistently pushing the boundaries of the field. This training course will tailor a transformative learning experience for professionals in oil and gas.Commencing with overview in the computer programming, participants delve into programming fundamentals and set up their Python coding environment. Participants will be able to explore flow control tools and functions, unlocking the full potential of Python. Furthermore, participants will gain expertise in various programming paradigms, with a particular focus on Object-Oriented Programming (OOP), a crucial foundation for building sophisticated applications.Participants will navigate through file handling, internal modules, and external libraries like NumPy, Pandas, and Matplotlib, providing proficiency in data manipulation and visualization tailored for the challenges of real-life projects. Through a hands-on Data Analytics Project, participants will apply their skills to a real-world dataset, derive insights, and present findings.This comprehensive workshop equips professionals with the tools for effective automation and data analytics in the Oil and Gas sector. Participants will experience a robust understanding of Python&rsquo;s applications, ready to drive impactful and data-driven initiatives in their professional journey.This course will be delivered face-to-face over 5-day sessions, comprising of 8 hours per day, 1 hour lunch and 2 breaks of 15 minutes per day. Course Duration: 8 hours in total, 40 CPD points. Maximum number of participants: 30<a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></section><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseOne" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TRAINING OBJECTIVES</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Acquire a comprehensive understanding of Python syntax, including variables, data types, and fundamental programming constructs.</li><li fr-original-style="" style="box-sizing: border-box;">Apply Python programming skills to analyze industry-specific datasets, extracting meaningful insights that can inform decision-making and operational efficiency.</li><li fr-original-style="" style="box-sizing: border-box;">Demonstrate the ability to automate routine tasks and streamline workflows within the Oil and Gas sector using Python.</li><li fr-original-style="" style="box-sizing: border-box;">Develop practical solutions and strategies using Python programming for challenges commonly faced in the industry, fostering hands-on experience and problem-solving capabilities.</li><li fr-original-style="" style="box-sizing: border-box;">Gain insights into emerging trends in digital technology within the industry and how Python can be leveraged for continuous adaptation and innovation.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseTwo" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TARGET AUDIENCE</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">All Engineers and Technologists from diverse fields who are interested in utilizing Python programming and data analytics techniques to explore and address challenges within their respective domains.</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysts and Scientists who working with data generated by sensors, monitoring equipment, and other sources within the industry.</li><li fr-original-style="" style="box-sizing: border-box;">IT and Automation Specialists who responsible for designing and implementing IT solutions and automation systems as well as who involve in developing and maintaining software application in the Oil and Gas sector.</li><li fr-original-style="" style="box-sizing: border-box;">Executives and Managers seeking a strategic understanding of how Python and data analytics can impact decision-making and operational efficiency in the industry.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals who interest in applying Python programming and data analytics techniques to study and solve challenges in the Oil and Gas field.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals from related industries or backgrounds who are transitioning into roles within the Oil and Gas sector and wish to acquire relevant Python skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals from diverse backgrounds who recognize the growing importance of data analytics in the Oil and Gas sector and wish to enhance their skill set.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapsecl" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">COURSE LEVEL</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Basic</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseThree" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TRAINING METHODS</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;">The trainer will employ the &lsquo;learning by doing&rsquo; method by emphasizing practical application. Participants will be introduced to the concepts and theories using techniques that they can easily relate to. The learning experience is then reinforced by implementing the subject through real-life examples. The trainer will provide quizzes and tests for self-assessment and ensuring participants can measure their understanding and apply the knowledge effectively. This hands-on approach not only enhances comprehension but also empowers participants to confidently apply the learned skills in their professional endeavors.Preparation ahead of the Class:Participants are required to download the&nbsp;Python 3.x&nbsp;version software onto their laptops.The instructions are provided below:<ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Download&nbsp;Anaconda&nbsp;by visiting the Anaconda website (https://www.anaconda.com/products/distribution).</li><li fr-original-style="" style="box-sizing: border-box;">Click on the &ldquo;Download&rdquo; button for the version that suits your operating system (Windows, macOS, Linux).</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Select the&nbsp;Python 3.x&nbsp;version (e.g., Python 3.8) during the installation process.</li><li fr-original-style="" style="box-sizing: border-box;">Install Anaconda follow the instructions to run the installer. Install Just Me (Recommended).</li></ol></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseFive" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">TRAINER</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;">Your expert trainer is a seasoned multidisciplinary engineer with a 15-year professional journey, driven by an unwavering commitment to innovation and excellence. Armed with a Ph.D. in offshore engineering, he draws extensive insights from diverse industry sectors, notably oil and gas, where he served as a subsea pipeline engineer. His hands-on experience encompasses the entire spectrum, from design and manufacturing to installation and operations of offshore oil and gas facilities.Previously at Rosen Group, your expert trainer developed digital tools for offshore structural assessments and risk-based inspection. He led research at the ARC Offshore Floating Facilities Hub on enhancing riser design and monitoring using Python and data analytics. He performed design verification for INPEX, Chevron, and Apache on subsea pipelines, risers, umbilicals, and LNG facilities, and was a deputy project manager on verifying the Ichthys gas pipeline. He conducted risk-based inspection and auditing of the Ichthys LNG plant for DNV GL. He also worked as a structural engineer at Advanced Building Engineers designing steel structures, buildings, and other components. Meanwhile, at the University of Western Australia (UWA), your expert trainer developed AI and data solutions for the oil &amp; gas industry focused on condition monitoring and probabilistic assessments and led research on offshore facilities by creating tools for analysis and machine learning.His academic pursuit culminated in a thesis that underscores his proficiency in employing data science and machine learning, primarily through Python. His research focused on optimising asset integrity management for offshore oil and gas assets, showcasing a seamless integration of engineering and cutting-edge technology. In 2023, he fully unleash AI-driven solutions across diverse sectors. Currently, he actively contributes to mineral resource exploration and assists oil and gas operators in the effective implementation of new AI and digital technologies.His dedication to knowledge dissemination is evident through his role as a global educator. Over the past five years, he has conducted Python programming lectures at universities and industries, reaching over 1000 novices. His unwavering commitment to lifelong learning, coupled with a growth mindset have positions him as a transformative trainer in the realms of applied AI, data science, and engineering in oil and gas sector<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></section></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">POST TRAINING COACHING SUPPORT (OPTIONAL)</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;">To further optimise your learning experience from our courses, we also offer individualized &ldquo;One to One&rdquo; 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. <a href="mailto:info@asiaedge.net?subject=Request%20for%20further%20information%20regarding%20post%20training%20coaching%20support" target="_blank" style="color: rgb(0, 123, 255); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 123, 255);">Request for further information post training support</a>&nbsp;and fees applicable.</div></section>

EnergyEdge - Training for a Sustainable Energy Future

Machine Learning (ML)

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

Assessment Based Training - Python Programming & Analytics for the Oil & Gas Sector - Maximising Value from Data Assets

Team of 10, pp

Normal Fee, pp

Redhill

<h3>Complete Python training course description</h3>
 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.
 
				<h5>What will you learn</h5>
				<ul>
				 
	 <li>Read Python programs.</li>
 <li>Write Python programs.</li>
 <li>Debug Python programs.</li>
 <li>Use Python's objects and memory model as well as
 its OOP features.</li>
 </ul>
 <h5>
 Complete Python programming training course details</h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Anyone wishing to learn Python. 
 
							<li>Prerequisites:</li>
							
 None. 
 
							<li>Duration</li>
							
 5 days
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Complete Python programming training course contents</h3>
 <ul>
 <li>Welcome to Python: </li>
 What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. 
 <li>Getting started: </li>
 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. 
 <li>Python basics: </li>
 Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. 
 <li>Python Objects: </li>
 Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. 
 <li>Numbers: </li>
 Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. 
 <li>Sequences: strings, lists, and tuples: </li>
 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. 
 <li>Mapping and set types: </li>
 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. 
 <li>Conditionals and loops: </li>
 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. 
 <li>Files and input/output: </li>
 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. 
 <li>Errors and exceptions: </li>
 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. 
 <li>Functions: </li>
 Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. 
 <li>Modules: </li>
 Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. 
 <li>Object-Oriented Programming (OOP): </li>
 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. 
 <li>Execution environment: </li>
 Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. 
 <li>Regular expressions: </li>
 Special symbols and characters, REs and Python, Regular expressions example. 
 <li>Network programming: </li>
 Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. 
 <li>Internet client programming: </li>
 What are internet clients? Transferring files, Network news, E-mail. 
 <li>Multithreaded Programming: </li>
 Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. 
 <li>GUI programming: </li>
 Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. 
 <li>Web programming: </li>
 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. 
 <li>Database programming: </li>
 Python database application programmer's interface (DB-API), ORMs. 
 <li>Miscellaneous </li>
 Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.
 </ul>

Systems & Network Training

Network & Security

Network Engineer

Complete Python programming

General Admission

<h3>Network DevOps course description</h3>
 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. 
 
				<h5>What will you learn</h5>
				<ul>
				 
 <li>Evaluate network automation tools.</li>

<li>Automate tasks with ansible.</li>
<li>Use git for version control.</li>
<li>Use Python to manage network devices.</li>
<li>Use Python libraries for network devices.
</li>
 </ul>
 <h5>
 Network DevOps course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Administrators automating tasks.
 
							<li>Prerequisites:</li>
							
 TCP/IP Foundation
 
							<li>Duration</li>
							
 5 days
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Network DevOps course contents</h3>
 <ul>
				<li>What is DevOps </li>
Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations.

<li>Initial configuration </li>
Configuring SSH, ZTP, POAP.
 Hands on Initial lab configuration.

<li>Getting started with ansible </li>
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.

<li>Ansible playbooks </li>
ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module.
 Hands on Running playbooks.

<li>Ansible Inventories </li>
/etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts.
 Hands on Static inventories, variables in inventory files.

<li>Ansible modules for networking </li>
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.

<li>Ansible templating and roles </li>
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.

<li>Network programming and modules </li>
	Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices.

<li>Programming with Python </li>
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.

<li>More Python programming </li>
Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install.
 Hands on Python programming with pyping.

<li>Git </li>
	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.

<li>Python and networking </li>
APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse.

<li>Paramiko SSH and Netmiko </li>
Integrating Python and network devices using SSH. Netmiko, Netmiko methods.
 Hands on Netmiko.

<li>NAPALM </li>
What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard.
 Hands on Configuration with NAPALM. Integrating ansible and NAPALM.

<li>Python and REST </li>
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.
 </ul>

DevOps for networking engineers

<h3>Network automation course description</h3>
 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.
 
				<h5>What will you learn</h5>
				<ul>
				 
					
					<li>Evaluate network automation tools.</li>

<li>Automate tasks with ansible.</li>
<li>Use git for version control.</li>
<li>Use Python to manage network devices.</li>
<li>Use Python libraries for network devices.
</li>
 </ul>
 <h5>
 Network automation course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 Network engineers.
 
							<li>Prerequisites:</li>
							
 TCP/IP foundation for engineers.
 
							<li>Duration</li>
							
 5 days
						
 
							
 
 
						</ul>
					</div>
				</div>
 <h3>Network automation course contents</h3>
 <ul>
				<li>What is DevOps </li>
					Programming and automating networks, networks
and clouds, AWS, OpenStack, SDN, DevOps for
network operations.
<li>Initial configuration </li>
Configuring SSH, ZTP, POAP. Hands on Initial
lab configuration.
<li>Getting started with ansible </li>
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.
<li>Ansible playbooks </li>
ansible-playbook, YAML, plays, tasks, handlers,
modules. Playbook variables. Register module,
debug module. Hands on Running playbooks.
<li>Ansible Inventories </li>
/etc/ansible/hosts, hosts, groups, static
inventories, dynamic inventories. Inventory
variables, external variables. Limiting hosts.
 Hands on Static inventories, variables in inventory
files.
				<li>Ansible modules for networking </li>
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.
<li>Ansible templating and roles </li>
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.
<li>Network programming and modules </li>
Why use Python? Why use ansible? alternatives,
ansible tower, Linux network devices.
<li>Programming with Python </li>
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.
<li>More Python programming </li>
Functions. Classes, objects and instances,
modules, libraries, packages. Python strings,
Python file handling, pip list, pip install, Hands on
Python programming with pyping.
<li>Git </li>
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.
<li>Python and networking </li>
APIs, Sockets, Telnetlib, pysnmp, ncclient,
ciscoconfparse.
<li>Paramiko SSH and Netmiko </li>
Integrating Python and network devices using
SSH. Netmiko, Netmiko methods. Hands on
Netmiko.
<li>PyEZ </li>
Juniper, NETCONF, installing PyEZ, a first pyEZ
script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ.
<li>NAPALM </li>
What is NAPALM, NAPALM operations, getters,
Replace, merge, compare, commit, discard.
 Hands on Configuration with NAPALM.
Integrating ansible and NAPALM.
<li>Python and REST </li>
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.

 </ul>

Network automation for engineers

<h3>CCNP training course description</h3>
 The Implementing and Operating Cisco Enterprise
Network Core Technologies (ENCOR) v1.2 course
provides the knowledge and skills needed to configure,
troubleshoot, and manage enterprise wired and
wireless networks. You'll learn to implement security
principles within an enterprise network and how to
overlay network design using solutions such as SDAccess and SD-WAN. Course content includes 3 days
of self-study material. This course helps you prepare for
the 350-401 Implementing Cisco Enterprise Network
Core Technologies (ENCOR) exam
 
				<h5>What will you learn</h5>
				<ul>
				 
 <li>Configure, troubleshoot, and manage enterprise
wired and wireless networks</li>
<li> Implement security principles within an enterprise
network</li>
<li> Prepare you prepare to take the 350-401
Implementing Cisco Enterprise Network Core
Technologies (ENCOR) exam
</li>
 
 </ul>
 <h5>
 CCNP training course details </h5>
				<div>
					<div>
						<ul>
							<li> Who will benefit: </li>
							
 
 Mid-level network engineers, Network administrators,
Network support technicians, Help desk technicians.
 
							<li>Prerequisites:</li>
							
 Implementation of Enterprise LAN networks. Basic
understanding of Enterprise routing and wireless
connectivity, and Python scripting
 
							<li>Duration</li>
							
 5 days
 
							
 
 
						</ul>
					</div>
				</div>
			
				 <h3>CCNP training course content</h3>
				
 <ul>
				<li>Cisco Enterprise Network Architecture:</li>

 Access,
distribution, core in the hierarchical network.
Cisco Switching Paths: Switching mechanisms, TCAM,
CAM, process switching, fast switching, and CEF.
		 <li>
Implementing Campus LAN Connectivity:</li> Troubleshoot
L2 connectivity using VLANs and trunking 
		 Building Redundant Switched Topology: STP 
		 
Implementing Layer 2 Port Aggregation 
Troubleshoot link aggregation using Etherchannel 
EIGRP 
Implement and optimize OSPFv2/v3, including
adjacencies, packet types, and areas, summarization,
and route filtering for IPv4/v6 
Implement EBGP interdomain routing, path selection,
and single and dual-homed networking 
		 Implementing Network Redundancy: HSRP and VRRP 
Implement static and dynamic NAT 
Virtualization Protocols and Techniques 
		 VPNs and Interfaces: Overlay technologies such as VRF,
GRE, VPN, and LISP
		 Wireless Principles: RF, antenna characteristics, and
wireless standards. 
Wireless Deployment: Models available, autonomous AP
deployments and cloud-based designs within the
centralized Cisco WLC architecture 
Wireless Roaming and Location Services 
Wireless AP Operation: How APs communicate with
WLCs to obtain software, configurations, and centralized
management 
Wireless Client Authentication: EAP, WebAuth, and PSK
wireless client authentication on a WLC. 
Troubleshoot wireless client connectivity issues using
various available tools 
Troubleshoot networks using services such as NTP,
SNMP, Cisco IP SLAs, NetFlow, and Cisco IOS EEM
Explain network analysis and troubleshooting tools,
which include show and debug commands, as well as
best practices in troubleshooting 
Multicast Protocols: IGMP v2/v3, PIM DM/SM and RPs
Introducing QoS: Concepts and features. 
Implementing Network Services: Secure administrative
access for Cisco IOS devices using CLI access, RBAC,
ACL, and SSH, and device hardening concepts to secure
devices from less secure applications 
Using Network Analysis Tools 
Infrastructure Security: Scalable administration using
AAA and the local database, features and benefits 
Enterprise Network Security Architecture: VPNs,
content security, logging, endpoint security, personal
firewalls, and other security features. 
Automation and Assurance with Cisco DNA Center:
Purpose, function, features, and workflow. Intent-Based
Networking, for network visibility, proactive monitoring,
and application experience 
Cisco SD-Access Solution: Nodes, fabric control plane,
and data plane, VXLAN gateways 
Cisco SD-WAN Solution: Components and features of
Cisco SD-WAN solutions, including the orchestration,
management, control, and data planes 
	Basics of Python Programming: Python components
and conditionals with script writing and analysis 
Network Programmability: NETCONF and RESTCONF
		 APIs in Cisco DNA Center and vManage

<li>Labs: </li>
Investigate the CAM. Analyze CEF. Troubleshoot
VLAN and Trunk Issues. Tuning STP and Configuring
RSTP. Configure MSTP. Troubleshoot EtherChannel.
Implement Multi-area OSPF. Implement OSPF Tuning.
Apply OSPF Optimization. Implement OSPFv3.
Configure and Verify Single-Homed EBGP.
Implementing HSRP. Configure VRRP. Implement
NAT. Configure and Verify VRF. Configure and Verify a
GRE Tunnel. Configure Static VTI Point-to-Point
Tunnels. Configure Wireless Client Authentication in a
Centralized Deployment. Troubleshoot Wireless Client
Connectivity Issues. Configure Syslog. Configure and
Verify Flexible NetFlow. Configuring Cisco IOS EEM.
Troubleshoot Connectivity and Analyze Traffic with
Ping, Traceroute, and Debug. Configure and Verify
Cisco IP SLAs. Configure Standard and Extended
ACLs. Configure Control Plane Policing. Implement
Local and Server-Based AAA. Writing and
Troubleshooting Python Scripts. Explore JSON Objects
and Scripts in Python. Use NETCONF Via SSH. Use
RESTCONF with Cisco IOS XE. 

 </ul>

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