3970 Other courses

Directions to The Warehouse: The address is: Travel and Parking arrangements: Paid parking is available (attendees are responsible for paying parking fees) From New St Station, follow signs to Moor St station. When you get to Moor St, go down the hill to the side of the station towards the multi-storey car park. At the car park, go left under the railway bridge. Immediately after the railway bridge turn right onto shaws passage, which is quite short. We're on the corner at the end of shaws Passage - walk round the corner onto Allison Street and along past the Cafe to the full glass door with the Birmingham Friends of the Earth hanging sign.

Ukulele lessons for Grades or just for Fun.

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.

This course is ideal for all, from beginners to confident makers with only a few hours to spare. You will learn the basics of leather craft for accessories and be introduced to techniques including machine stitching on leather, hand finishing and hand cutting. You will be working with a hard sturdy veg tanned leather. This is a perfect introductory course to start your journey into Leatherwork and bag making as you will experience the wide variety of tasks involved in the work. In order to complete your belt in a day we will use part pre-prepared components and the purse will be made from a 'Hands of Tym' pattern but do not fear there is still plenty of work for you to do. During the day you will be directed by your tutor Leathersmith and London College of Fashion Lecturer Georgie Tym to make a 'raw edge' Belt sized to fit you exactly with opportunity for personalisation. There will be one buckle as closure and the opportunity to choose leather colours to enable a bespoke piece. The dimensions of the belt are either W38mm or W25mm - length will depend on you! It will be the same design and construction as the belt in the photos featured. The course will be run from the HOME STUDIO of Hands Of Tym in Banbury, Oxfordshire, OX16 9DH Maximum class size is 4 What's included in the price? There are NO ADDITIONAL costs. All leather, hardware and other materials will be included. There will be a selection of leather and hardware colours for you to choose from.The course runs from 2.30pm – 5pm or 10am - 12.30 on a morning session. There will be a tea/ coffee offered during the course. Cancellation policy Medium - Cancellation and a full refund can be obtained up to 4 weeks before the course starts About Georgie at Hands of Tym During training at Cordwainers, London College of Fashion in 2010 I learnt how to design, make and manufacture bags professionally. Following a varied career in Accessories design and development across many roles and international brands I set up Hands of Tym in 2016. The courses I offer are suitable for all, from experienced to total novice. Come along to learn something new, and design and make your own leather bag in a day.

4 sessions Assessment calls to each party Rebuilding damaged trust Addressing all the problems Ascertaining each other’s needs Relationship exercise and training programme Couples dating coaching and relationship improvement training How to be a better partner programme for both partners(exercise) Eliminating past conflict issues Following new relationship principles to eliminate conflict and confrontation 1 hour X 4 https://relationshipsmdd.com/product/i-caught-my-partner-texting-someone-else-package/

Do you want to learn a new skill? Then join us for a fun and informative workshop in container candle making at Crafters Cottage just outside Holmfirth.

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.

The City & Guilds 2365 Level 3 Course is the natural progression for anyone who has completed the Level 2 Diploma 2365 course or related level 2 courses. On completion of this course you will then be able to undertake the Level 3 NVQ thus becoming recognised as a fully qualified electrical engineer within the industry with the ability to apply for JIB (Gold Card) membership upon successful completion of the AM2 Assessment. Further information on the Level 3 can be found here: C&G 2365 Level 3 Diploma in Electrical Installations — Optima Electrical Training (optima-ect.com)

Level 3 Emergency First Aid at Work EFAW 1 Day Course is a Level 3 RQF Award and makes anyone who completes it a formally qualified emergency first aider. This course is Ofqual Accredited. If your first aid needs assessment stipulates that you need a qualified emergency first aider in the workplace, then this course provides all of the training required along with a nationally recognised certificate which is valid for 3 years. The course meets all guidelines and the resulting qualification is recognised by the HSE. ABOUT THIS QUALIFICATIONS: Our Level 3: Emergency First Aid at Work EFAW Course course can be tailored to suit specific industries, ensuring your staff have the ability to effectively deal with emergency situations and unique risks that present themselves in certain industries. We offer a range of industry specific emergency first aid at work courses including the following: • Transport • Security • Catering • Fright Forwarding • Construction • Office environment • Super market • Entertainment • Waste Management • Corporate Offices UNITS COVERED: Our Level 3: Emergency First Aid at Work Course covers the following topics: Aims and principles of first aid What to do in an emergency Basic Life Support (CPR & basic use of an AED) Management of the unconscious casualty Assessment and treatment of a casualty who is wounded or bleeding Assessment and treatment of burns Choking and asphyxia Assessment and treatment of miscellaneous medical conditions Record keeping Casualty Incident Management: including the need for recording and reporting Situational Awareness and Assessment: enabling individuals to act safely, effectively and promptly in an emergency Casualty Examination Adult basic life support Control of Bleeding Strains and Sprains Treating shock Limb immobilization Other illnesses: including seizure The provision of appropriate first aid for minor injuries: small cuts, bruises, minor burns and scalds, etc ASSESSMENT: This is a classroom based one day course and done face to face with tutor support with a group of learners. There will be a short exam at the end and some practical activities need to be demonstrated during the class which will be taught in the class. HOW MUCH THIS COURSE COST? Our special price for Level 3: Emergency First Aid at Work Course is £69.99 There is no any hidden fess/cost.

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations