611 Confidence courses in London

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.

As the field of skin technology and products continues to evolve, skin peels have undergone a remarkable resurgence in popularity. These treatments, also known as "chemical" peels, harness the advancements in specialised products to exfoliate the skin and eliminate dead cells, providing remarkable results while ensuring client comfort. Our course will introduce you to a variety of natural acids, such as glycolic, lactic, and salicylic acid, which are used in modern skin peels. You'll learn the art of mixing peels and working with pre-mixed products, enabling you to customise treatments to address specific skincare concerns and conditions. Our comprehensive training will empower you to confidently combine various skin peels, enhancing the effectiveness of your existing facial treatments. By extending the efficacy of your services, you'll provide your clients with exceptional results and a rejuvenated complexion. Moreover, you'll gain a deep understanding of the science behind skin peels, allowing you to educate your clients on the benefits and guide them towards achieving their skincare goals. Join our Skin Peel Course and unlock the potential of these innovative treatments. With our expert guidance, you'll acquire the expertise and knowledge to become a trusted skincare professional. Course Entry Requirements:  Minimum of 18 years Good command of English Previous skin and facial training are desirable; we suggest that learners new to the industry enrol on our facial and skincare course before enrolling on our ClinicCare skin peel course. Course Pre-Study/Practical & Length: This course is a combination of theory study, virtual lectures and onsite practical  Course Agenda: All courses are intimate with four learners in class 2-1 ratio. Areas covered within this course are: Anatomy and Physiology of the Skin  Infection control  Sharps and hazardous waste Pre-study chemical peel theory Practical training 1 model  Professional live demonstrations Clinical setup Acids covered in this course: Glycolic acid Kojic acid Lactic acid Enzyme peels Mandelic acid  Arbutin Phytic Acid Salicylic acid Equipment / Starter Kits A professional starter kit can be purchased with this course. The kit costs 200 and is an additional cost to the training fees. Key Information A very popular treatment that is growing in popularity. Quick appointments. Minimal downtime which produces quality results. We gear the training around the use of the Clinicare brand which is well-known, reputable and produces effective results. Training in chemical skin peels is the first step for many beauty therapists to become aestheticians. 8 types of chemical peels are covered in this training course, providing you with the knowledge and skills to help clients with a wide range of skin concerns. The course offers hands-on practical training in a small group setting, allowing for personalised instruction and support from the instructor. The course covers a comprehensive curriculum, including the theory behind chemical peels and their various types, as well as practical application techniques. Upon completion, participants will receive a certificate of achievement that demonstrates their newfound knowledge and skills. The use of the Clinicare brand in the training program ensures that participants are learning with products that are highly effective and widely recognised in the beauty industry. The combination of e-learning and practical training provides participants with a well-rounded educational experience, allowing them to build their knowledge and confidence in a convenient and flexible manner. Chemical skin peels are in high demand, making this training program a valuable investment for anyone looking to expand their skills and grow their business. The course is accredited by ABT & CPD, providing participants with the assurance that the training is of high quality and meets industry standards. Course Benefits Benefits for Students Expertise in Skin Rejuvenation: By completing this training course, you will gain in-depth knowledge of chemical skin peels and their application. You will learn various peel types, their effects on the skin, and how to select the appropriate peel for different skin concerns. This expertise will enable you to provide effective treatments and achieve remarkable results for your clients. Versatility in Treating Skin Concerns: Chemical skin peels can address a wide range of skin concerns, including acne, hyperpigmentation, fine lines, and uneven skin texture. By enrolling in this course, you will acquire the skills to tailor treatments to meet individual client needs, helping them achieve healthier, smoother, and more radiant skin. Advanced Techniques and Safety: Our training course focuses on the latest techniques and safety protocols in performing chemical skin peels. You will learn about skin assessment, pre-treatment preparation, peel application methods, post-treatment care, and potential complications. This knowledge will ensure the safety of your clients and enhance your professional credibility. Practical Hands-on Experience: Practical training is an essential component of our course. You will have the opportunity to practice chemical skin peel techniques on models under the guidance of experienced instructors. This hands-on experience will boost your confidence and proficiency in performing the treatments. Benefits for Clients Personalised Treatment Plans: With your comprehensive understanding of chemical skin peels, you will be able to assess clients' skin concerns and develop customised treatment plans. This tailored approach will address their specific needs, leading to more effective and satisfactory results. Improved Skin Texture and Appearance: Chemical skin peels can significantly improve skin texture, reduce hyperpigmentation, diminish acne scars, and minimise the appearance of fine lines and wrinkles. Your expertise in performing these treatments will help clients achieve smoother, clearer, and more youthful-looking skin. Confidence and Trust: Clients will have confidence in your abilities as a trained professional in chemical skin peels. Your knowledge of different peel types and their effects, along with your commitment to safety, will build trust and assurance in your clients, creating a positive treatment experience. Earning Potential Your earning potential can increase after completing the Chemical Skin Peels (ClinicCare) Training Course: Expanded Service Offerings: With expertise in chemical skin peels, you can expand your service menu and offer a popular and in-demand treatment. This diversification can attract new clients and increase your earning potential. Client Retention and Referrals: Satisfied clients who experience positive results from chemical skin peels are more likely to become repeat customers. Additionally, they may refer friends, family, and colleagues to your practice, further growing your client base and increasing your revenue. Professional Advancement: By enhancing your skills and knowledge in chemical skin peels, you position yourself as a knowledgeable and sought-after aesthetics professional. This can lead to opportunities for career advancement, such as working in prestigious clinics, and spas, or establishing your own practice, which can contribute to higher earning potential. Frequently Asked Questions Is this training course suitable for beginners or those with prior experience? Our Chemical Skin Peels (ClinicCare) Training Course is designed for both beginners and experienced professionals in the aesthetics industry. Whether you are just starting your career or looking to enhance your skills, this course will provide you with the necessary knowledge and techniques. What will I learn in this training course? In this course, you will learn about different types of chemical skin peels, their indications, and the process of performing the treatment. You will gain a comprehensive understanding of skin anatomy, product selection, client assessment, treatment planning, application techniques, and post-treatment care. Will I receive hands-on training during the course? Yes, hands-on training is an integral part of our Chemical Skin Peels (ClinicCare) Training Course. You will have the opportunity to practice the techniques on models under the guidance and supervision of our experienced instructors. This practical experience will help you develop confidence and proficiency in performing chemical skin peels. What products or brands will be used in the training course? Our training course focuses on ClinicCare chemical skin peels. ClinicCare is a renowned brand known for its high-quality and effective skincare products. You will learn about their specific range of peels and gain hands-on experience in working with these products. Will I receive a certification upon completion of the course? Yes, upon successfully completing our Chemical Skin Peels (ClinicCare) Training Course, you will receive a certification of completion. This certification validates your training and demonstrates your competence in performing chemical skin peels using ClinicCare products. Are there any post-training support or resources available? Yes, we provide post-training support to our students. Our instructors are available to answer any questions or provide guidance even after you complete the course. Additionally, you will have access to resources and materials that can further enhance your knowledge and skills in chemical skin peels. Can I incorporate chemical skin peels into my existing practice? Absolutely! Chemical skin peels are a popular and effective treatment for various skin concerns. Upon completing the course, you will be equipped with the skills to incorporate chemical skin peels into your existing practice or start offering this service to your clients.

https://www.transmedia.co.uk/course/after-effects-introduction Adobe's industry-standard motion graphics and visual effects software gives you endless options to enhance your videos. Animate film titles that shatter into pieces, turn audio into visual spectrums, or make your characters move in any way. All our Adobe After Effects courses are taught by industry professionals who are also Adobe Certified Professional trainers. They will share years of their industry experience with you and give you the confidence to begin producing compelling animation and sophisticated special effects.

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This course is for anyone wishing to understand their strengths and development areas and those who are seeking assistance to progress their careers and convey their abilities confidently.

A six-module course over 6 weeks of 2h per week. Interactive training and coaching to take you on a journey of self-discovery. Start on a path of self-evaluation to realise your full potential, build confidence, and set suitable career and personal goals. Learners will receive CPD accredited certification when they successfully complete the course.

About this Training Course Materials Management is an essential link in the Supply Chain process. It takes an even bigger significance in the Upstream industry when the cost of a rupture in equipment or stock can be tremendous, without even considering the cost of the equipment itself. The downside may result in the accumulation of out-of-commission materials which leads to business inefficiency. What does it take to maintain efficient Materials Management? This 3 full-day course will explain more in detail. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives At the end of this course, participants will be able to: Understand the importance of an efficient Materials Management in the Supply Chain process Examine the control and validation of Stock processes Understand the role of the Duet and work within the Stock Duet in materials management Learn about the key factors in Stock optimisation Target Audience This course will benefit all personnel involved in Supply Chain including Stock Controllers, Cost Controllers, Buyers, Logisticians and those from the technical department such as Technical Administrators and members of the duet. Course Level Basic or Foundation Trainer Your expert course leader has 25 years of experience in management positions in Contracting, Procurement and Logistics, mainly in the Oil & Gas Industry. He was a Lecturer for IFP Training for 5 years. During his Oil & Gas industry experience, he has worked on major Oil and Gas development projects like the Yadana project in Myanmar, Akpo project in Nigeria and YLNG in Yemen. His international experience allows him to adapt very easily and integrate the multicultural specificities of the Oil & Gas industry in his teaching. 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

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 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 Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) 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

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