8186 Courses

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

Introducing Therapy for Trauma Package: Empowering Healing and Renewed Strength Have you experienced a traumatic event that continues to affect your life, leaving you with emotional wounds and distressing memories? Miss Date Doctor’s Therapy for Trauma Package offers you compassionate and specialized support to navigate the healing journey, fostering resilience, and reclaiming your life. Trauma can have a profound impact on your mental and emotional well-being, often leading to feelings of fear, anxiety, and helplessness. Our experienced therapists are dedicated to providing a safe and supportive space for you to process your trauma, empowering you to find strength and renewal in the face of adversity. Here’s how the Therapy for Trauma Package can support you: Safe and Non-Judgmental Environment: We offer a safe and non-judgmental space where you can share your trauma experiences without fear. Trauma-Informed Approach: Our therapists are trained in trauma-informed care, recognizing the unique needs and sensitivities of trauma survivors. Processing Traumatic Memories: Therapy will focus on helping you process and integrate traumatic memories in a healthy and manageable way. Emotional Regulation: We’ll work on emotional regulation techniques to help you cope with intense emotions related to trauma. Creating Coping Strategies: Therapy for trauma equips you with coping strategies to manage triggers and promote emotional well-being. Rebuilding Trust and Safety: If applicable, we’ll address issues of trust and safety, helping you feel more secure in your environment. Supportive Healing: Our therapists will guide you towards healing and recovery at a pace that feels comfortable for you. Post-Traumatic Growth: We’ll focus on fostering post-traumatic growth, empowering you to find strength and meaning from your experiences. The Therapy for Trauma Package at Miss Date Doctor is designed to support your healing journey and empower you to overcome the impact of trauma. Our compassionate therapists are committed to walking alongside you on this path of renewal and resilience. Invest in your emotional well-being and take the first step towards healing with the Therapy for Trauma Package. Embrace the opportunity to process your trauma, find renewed strength, and reclaim your life after adversity. Let our experienced therapists guide you towards emotional healing, growth, and a brighter future beyond trauma. 5 X 1 hour sessions https://relationshipsmdd.com/product/therapy-for-trauma-package/

Duration 3 Days 18 CPD hours This course is intended for Delegates attending this course must have successfully achieved the ITIL 4 Foundation Qualification; your certificate must be presented as documentary evidence to gain admission to this course. Ideally, candidates should have at least two years of professional experience working in IT Service Management. The ITIL 4 CDS Qualification would most likely suit the following delegates: Individuals continuing their journey in service management ITSM managers and aspiring ITSM managers ITSM practitioners managing the operation of IT-enabled & digital products and services, and those responsible for the end-to-end delivery Existing ITIL qualification holders wishing to develop their knowledge The above list is a suggestion only; individuals may wish to attend based on their own career aspirations, personal goals or objectives. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview The course includes core concepts describing how different types of work (value streams) are built, tested and delivered ?end-to-end? from beginning to end and with continual iterations and feedback loops. There is also a focus on areas such as testing, knowledge, customer and employee feedback, new technologies, supplier sourcing, and ways of managing work. During this course, you will: Understand how to plan and build a service value stream to create, deliver and support services Know how relevant ITIL practices contribute to creation, delivery, and support across the SVS and value streams Know how to create, deliver and support services Understand how to integrate different value streams and activities to create, deliver and support IT-enabled products and services, and relevant practices, methods, and tools Understand service performance, service quality, and improvement methods. This course begins your journey toward the ITIL Managing Professional designation. You will acquire insight that will allow you to integrate different value streams and activities to create, deliver and support IT-enabled products and services. Armed with this knowledge and skill set, you will be confident in running those IT-enabled services, teams and workflows successfully. This class includes an exam voucher. Prerequisites ITIL© 4 Foundation 1 - PLANNING AND BUILDING A SERVICE VALUE STREAM Tackling the concepts and challenges related to SVS Using the ?shift left? approach The true value of information and technology across the SVS 2 - CONTRIBUTING TO CREATION, DELIVERY AND SUPPORT Using the value stream to design, develop and transition new services Adding to a value stream by leveraging ITIL practices Providing user support Furthering the value stream for support through ITIL practices 3 - CREATING, DELIVERING AND SUPPORTING SERVICES Coordinate, prioritize and structure activities The value of buy vs. build, sourcing, and service integration and management

Portfolio Management Skills: In-House Training The main purpose of this workshop is to equip and enable people in a portfolio management office and PMO to effectively and efficiently support the Executive Leadership and Operational Management to plan, implement, manage, and evolve portfolio management in their organization. There is a deliberate focus on preparing you to become a strong and effective change advocate for meaningful portfolio management that delivers objective measurements of benefit contribution towards the strategic objectives to lead, manage, and continuously improve portfolio management governance, processes, and frameworks with and through the direction of a portfolio practice, principles, and delivery boards. What you Will Learn At the end of this program, you will be able to: Articulate the benefits of portfolio management Link the initiatives in an organization with its strategic objectives Participate in the introduction of portfolio management in an organization Create or improve the portfolio governance structure Lead the inventory of ongoing and new initiatives Assist the executives in the prioritization of initiatives through the use of Multi-criteria Analysis and other selection tools Support the executives in balancing the portfolio based on the optimal use of resources and priorities Create a portfolio delivery plan Define thresholds and variance reporting criteria Assist the executives and the financial team in the definition of Stage Gate Funding Lead the Stage Gate reviews Analyze the benefits that are being realized by the initiatives Foundation Concepts Definitions Benefits of Portfolio Management Objectives of Portfolio Management Portfolio Life Cycles Governing the Portfolio Portfolio Governance structure Roles and responsibilities Initial activities when starting portfolio management Prioritizing Initiatives Prioritize purpose Multi-Criteria Analysis Analytical Hierarchy Process (AHP) Strategic alignment Balancing the Portfolio Allocating resources and budgets Communicating decisions of initiatives status Planning the Portfolio Planning review cycles Using Stage Gate Funding Setting thresholds and variance reporting Tool examples Managing the Portfolio Delivery Project and Program Life Cycles Stage Gate Reviews Loop back to Prioritize, Balance and Plan Interaction with the Portfolio Delivery Board Project, Program and Functional Managers' roles and responsibilities

Still Technique course, suitable for osteopaths and final year osteopathic students

Learn how to identify your best customers, how to identify why they might need your product and how to create opportunities that can generate revenue.

Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

Lean Six Sigma Green Belt Certification Program This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

Python training course description This Python course focusses on teaching Python for use in network automation and network DevOps. We focus on getting delegates up and running with Python and network automation as quickly as possible rather than making them great programmers. In other words we concentrate on enabling delegates to use network automation libraries such as netmiko, NAPALM and Nornir, and APIs such as NETCONF and RESTCONF rather than enabling delegates to produce object oriented programs. Hands on sessions use Cisco and Juniper devices. What will you learn Run Python programs. Read Python programs. Write Python programs. Debug Python programs. Automate network tasks with Python programs. Configure network devices with Python. Collect data from network devices with Python. Python training course details Who will benefit: Network engineers. Prerequisites: TCP/IP Foundation Duration 5 days Python training course contents What is Python? Programming languages, Why Python? Python in interactive mode, Python scripts, ipython, Python version 2 versus version 3. A simple Python script. Comments. Hands on Installing Python, Hello world. A network example On box vs off box Python. telnet, ssh, NETCONF, HTTP, APIs, manufacturers and API support, analysis of a simple telnetlib program. Hands on Using Python to retrieve the configuration from a network device. Using wireshark to analyse the actions. Python basics I/O, operators, variables and assignment, types, indentation, loops and conditionals. Hands on Modifying the telnet program, changing configurations on a network devices. Functions, classes and methods What are functions, calling functions, builtin functions, useful builtin functions, file handling, classes, objects, creating instances. Hands on Storing configurations in files, configuring devices from files, using an inventory file to work on multiple devices. Libraries and modules Modules, files and packages, import, from-import, Python standard library, other packages, pip install, executing other programs. Managing python libraries. Hands on Using pip, installing and using ipaddress, subprocess to access netsnmp. For the more advanced, using the sockets library. Paramiko and netmiko SSH, enabling SSH on devices, keys. Paramiko versus netmiko, example scripts. pexpect. Hands on Configuring VLANs from Python. pySNMP Gathering facts using previous methods, SNMP review, pySNMP GET, pySNMP and SNMPv3. easySNMP library. Hands on Walking a MIB from Python. NETCONF What is NETCONF? Enabling NETCONF on devices, A first ncclient script, device handlers, get_config, edit_config, copy_config, delete_config, commit, validate, pyEZ, utils_config, utils.sw. Hands on Configuration using ncclient and PyEZ. This session is expanded for those interesting in JunOS automation. Manipulating configuration files Builtin functions, string handling. Unicode. Sequences, strings, lists, tuples. Dictionaries. TextFSM. Regular expressions. JSON, YAML, XML, YANG, Jinja2, templates. Hands on Jinja2 templating with Python to configure network devices. NAPALM Getters, configuration operations, supported devices, NAPALM transport, Config-replace, Config-merge, Compare config, Atomic changes, rollback. Example NAPLAM scripts. Hands on Using NAPALM to gather facts, Using NAPALM for configuration management REST and RESTCONF What is REST, HTTP methods, GET, POST, cURL, Postman, Python requests library. RESTCONF, a RESTCONF example. Hands on Modifying a configuration using RESTCONF. Scapy What is scapy, Scapy in interactive mode, Scapy as a module. Hands on Packet crafting from Python. Warning Errors and exceptions, Exception handling, try, except. Memory management. Garbage collection. Context management, With. Hands on Improving Python code. Nornir What is Nornir? A network automation framework, inventories, connection management and parallelization. Nornir architecture and other libraires. Hands on Setting up nornir, nornir fact gathering, nornir tasks. Optional Writing your own functions, Writing your own classes. pyntc. Hands on Writing reusable code.

Lean Six Sigma Yellow Belt Certification Program - Build a Knowledge Base of the Facets of Lean Six Sigma: On-Demand This course is designed to teach you the fundamental concepts of Lean Six Sigma and enable you to achieve IIL's Lean Six Sigma Yellow Belt Certification. The Lean Six Sigma methodology is focused on improving business performance, reducing costs, and increasing efficiency and productivity. In this course, you'll get an introduction to what Lean Six Sigma is about, including its vision, key metrics, and the DMAIC process (Define, Measure, Analyze, Improve, Control) which is the foundation of Lean Six Sigma and the de facto tool for process improvement. Improved processes result in higher quality, lower costs, and increased customer satisfaction! Benefits of Lean Six Sigma Gives leadership a standard, data-driven approach to improving results Gives project managers a set of understandable steps and tools to improve project effectiveness Generates higher net income by lowering operating costs Improves product and service quality through defect prevention and reduction Improves customer satisfaction and retention by identifying and meeting customer requirements Improves employee satisfaction by reducing rework What You Will Learn You will learn how to: Establish the structure that supports and sustains Lean Six Sigma Quality Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO and Yield) Select successful, high-impact projects that match to strategic objectives Document, measure and improve key processes using the DMAIC (Define, Measure, Analyze, Improve and Control) Methodology Utilize data-based thinking to make key business decisions Day One or eLearning Session One and Two: Introduction to the Fundamentals and Vision of Lean Six Sigma. Topics include: Lean Six Sigma's focus on the customer, on quality, and on results The costs of poor quality Critical factors to consider when deploying Lean Six Sigma Lean Six Sigma as a process improvement methodology Lean Six Sigma metrics Why do it - ROI and payback for Lean Six Sigma Business Process Management Critical Lean Six Sigma roles and responsibilities Main aspects of managing the organizational change Project selection Day Two or eLearning Session Two, Three, and Four: Metrics of Lean Six Sigma and the DMAIC Model. This part of the course will focus on the systematic and proven use of the Define, Measure, Analyze, Improve, and Control (DMAIC) Methodology to dramatically reduce current process defects. Participants will practice using the common tools and techniques behind each phase through interactive exercises. Topics include: How to strategically align business metrics and projects within an organization How to identify and measure quality characteristics which are critical to customers What does the customer (internal or external) really want from our products and services? Establishing appropriate teams and setting those teams up to be successful What defines a good measurement system? How are we doing (learning the secret to measuring the right things, right)? How to improve output measures by understanding and measuring the process Where are there defects (how to properly select and scope high-impact projects)? Where is the process broken (the Lean Six Sigma version of root cause analysis)? How to determine the process efficiency, or value add, of a process The appropriate use of quality tools Understanding the concept of variation and how to reduce knee-jerk reactions How to achieve breakthrough results for any key measure How can we ensure the identified improvements will be sustainable (the basics of process control)?