264 Addition courses in Leeds

This combined First Aid and Fire Training offers the very best value to train your staff for fire and first aid training. Done in just one day, you can complete fire and first aid training

Join us for a May bank holiday storytelling session on Monday 31st May, brought to you by Flavour Like Fancy.

In-house training courses on electric and hydrogen vehicle technologies, charging infrastructure and how they work.

Expert Body Shape Fillers Package includes: Fat-Dissolving injections – Fillers BBL (Brazilian Buttocks Lift ) with Filler – Non Surgical Threads lift injectables for body Entry requirements Registered Medical professional Level – Beauty Therapist Dental Nurse Physiotherapist Holds at least 6 months experience with needles (micro-needling, microblading, tattooing, vaccinations, phlebotomy and more) NOTE! After booking we will contact you for scheduling the exact course date! Courses dates are subject to change due to mentors availability. We will inform you via email if a date becomes available! Additional information ATTENDANCE ONLINE (Theory), IN CLINIC (Practice) EXPERT LEVEL Fat-Dissolving injections – Fillers BBL (Brazilian Buttocks Lift ) with Filler – Non Surgical PDO Threads lift injectables for body PRP/ Mesotherapy Training Course Choose Online Theory or In-Clinic with practice 4 Days Intensive Courses (1 Week)

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

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Overview This course is incredibly elegant to feed psychological feature feeling and confidence needed in an everyday work state of affairs so as to run the team and organisation to attain sensible results. it'll facilitate building your trust and loyalty and enhance your skills and your behaviour additionally it'll facilitate setting objectives, motivating and communicating together with your folks.

Tailored Beginners Introductory Package Just for You! Level 7 Training Courses Dermal fillers in aesthetics injectables are widely recognized as one of the most trusted non-surgical facial aesthetic procedures. They remain the preferred choice for many clients, especially as an effective solution for addressing wrinkles. Our Beginner Aesthetic Practitioners have widely embraced this particular package as an essential offering for well over a decade. Foundation Dermal Filler Training Course Muscle Relaxation Upper face 3 area Botox HA Skin Boosters Training Course PRP Face & Hair Training Course Microneedling Training Course (DermaPen) Online training courses are available for the theoretical components of beginner-level Dermal Filler and Muscle Relaxation. To gain practical experience, participation in the hands-on sessions on real-models is recommended. This course Theory & Practice will help you to understand: We will cover all you need to know in order for you to treat your patients confidently and safely. The Theory & Practice will cover: Anatomy and physiology of Human Body Anti-Ageing Characteristic of the ideal skin booster Product Use & introduction Treatment Method and Care Contraindication Complication management Pre & Post-treatment advices Using Products like Toskani, Skinecos, Jalupro etc. Utilize products specifically recommended for the middle and lower parts of the face, along with other sensitive areas like the neck, décolletage, hands, or knees. Real models will be provided by us for Practical Hands-on Experience assisted an guided by our Professional Expert Trainers Entry requirements Level – Beauty Therapist Dental Nurse Physiotherapist Registered Medical professional Holds at least 6 months experience with needles (micro-needling, microblading, tattooing, vaccinations, phlebotomy and more) or any medical experience. Additional information ATTENDANCE ONLINE (Theory), IN CLINIC (Practice) FOUNDATION ONE -2- ONE TRAINING Beginner in Aesthetic Online Video Presentation for Theory Practical with Hands-On in Clinic on Real Model Dermal Fillers & Skin Booster INSURED TRAINING COURSE ALL COURSES ARE LEVEL 7CPD CERTIFICATES Notice! (We don’t charge VAT)

Supporting Microsoft IIS training course description This course provides students with the fundamental knowledge and skills to configure and manage Internet Information Services. This course is intended to help provide pre-requisite skills supporting a broad range of Internet web applications, security, and knowledge to help support other products that use IIS such as Exchange and SharePoint. What will you learn Install IIS. Configure IIS. Secure websites. Maintain IIS. Supporting Microsoft IIS training course details Who will benefit: Technical staff working with Microsoft IIS. Prerequisites: TCP/IP foundation for engineerss Supporting Windows ( XP or 2000 or 2003) Duration 5 days Supporting Microsoft IIS course contents Overview and Installing IIS Web Server infrastructure, installing IIS. Hands on Default install of IIS, verify and test.. Configuring the default website Default website, IIS Manager, default IIS file structure, configuring DNS records for a website, creating virtual directories and Applications. Hands on Configuring the Default website for public access. Creating Virtual Directories and Applications. Application Pools Application Pool Architecture, Application Pool recycling. Hands on Creating and managing Application Pools. Creating additional websites Multiple websites on a single server, website bindings. Hands on Creating new websites. Website and Web application support Configuring Common features, adding support for web applications. Hands on Adding support for web applications. Securing Websites and applications Access control, sites, applications, authentication and permissions. URL authorization rules. Hands on Configuring Authentication and permissions. Securing Data Transmissions with SSL Certificates and SSL, creating certificates for a web server, adding a certificate to a website. Hands on Certificates and HTTPS. Using the Central Certificate Store The Central Certificate Store. Hands on Install and configure the Central Certificate Store. Configuring Remote Administration Installing and Configuring the Management Service. Connecting to remote web servers and websites. Delegating Management Access. Hands on Remote administration. Implementing FTP Implementing FTP, configuring an FTP site. Hands on Install and configure a secured FTP site. Monitoring IIS IMonitoring IIS logs with Log Parser. Hands on Analyze a set of IIS log files for possible issues using Log Parser. Analyze performance data for performance related problems using PerfMon. Backing up and Restoring IIS The IIS environment. Hands on Performing a backup and restore of a website. Building Load-Balanced Web Farms Load-balancing mechanisms, building a Load-Balanced Web Farm using ARR, sharing content to a Web Farm using a network share, Sharing content to a Web Farm using DFS-R, Sharing IIS Configurations in a Web Farm. Hands on Installing and configuring ARR, sharing content to a Web Farm using network share and DFS-R, sharing IIS Configurations in a Web Farm.

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.