30242 TEC courses

Participants gain a foundational understanding of the UX design process, tools and techniques through an engaging mix of theory and practical application exercises.

Unlock your potential in the beauty industry with our Ultimate Value Training Package! This all-inclusive training package combines our highly sought-after VTCT Level 2 Facial & Skincare, VTCT NVQ Level 3 in Beauty Therapy, and VTCT Level 4 Laser Hair Removal & Skin Rejuvenation training courses. Invest in your future with this comprehensive package that will empower you with the knowledge and skills needed for a successful career in beauty therapy. What's Included: VTCT Level 2 Facial & Skincare Course Standalone Cost: 1,350 Learn the fundamentals of facial treatments and skincare Master techniques for various skin types and conditions Gain hands-on experience with industry-standard products and equipment VTCT NVQ Level 3 in Beauty Therapy Standalone Cost: 2,550 Expand your skills in advanced beauty treatments Delve into specialised techniques such as microdermabrasion and electrical treatments Enhance your client consultation and communication skills VTCT Level 4 Laser Hair Removal & Skin Rejuvenation Standalone Cost: 1,350 Master advanced techniques and cutting-edge beauty treatments Qualify in laser hair removal, light therapies, as well as aesthetic treatments Develop skills in managing a beauty therapy business Your Investment Ultimate Value Training Package - 4,230 (30% saving of 2,450!) Why Choose Our Ultimate Value Training Package? Comprehensive training: Our package covers a wide range of beauty therapy techniques, from foundational to advanced, ensuring a well-rounded education in the field. Expert instructors: Learn from experienced professionals who are passionate about sharing their knowledge and expertise. Flexible scheduling: Our courses are designed to accommodate your busy schedule with a variety of learning options, including full time, part-time and weekend classes. Hands-on experience: Gain valuable practical experience in our state-of-the-art training facilities. Industry-leading qualifications: Our courses are accredited by VTCT, ensuring you receive high-quality training that meets industry standards and is internationally recognised. Take the First Step Towards a Rewarding Career in Beauty Therapy Ready to embark on your journey to success in the beauty therapy industry? Our Ultimate Value Training Package is the perfect investment in your future. With comprehensive training, hands-on experience, and expert guidance, you'll be well on your way to a fulfilling and lucrative career. Don't miss out on this incredible offer! Enrol today and start building the foundation for a successful career in beauty therapy.

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Advanced Lip Smile Injectables Package includes: Skin Boosters Lips filler , Russian, French techniques Beauty Threads for lips contour 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) ADVANCED Skin Boosters Lips filler , Russian, French techniques Beauty Threads for lips contour Choose Online or In-Clinic (30% Discount)

Lean Six Sigma Black Belt Certification Program: Virtual 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)

About this Virtual Instructor Led Training (VILT) Asia Pacific is set to be the largest and fastest growing Hydrogen market globally. This growth is driven by decarbonisation of energy-use, ammonia production and rising demand of fuel cell electric vehicles. Hydrogen as a fuel has outstanding energy carrying capacity and many application possibilities ranging from Petroleum refinery, Ammonia and Methanol production, Transportation and Power generation. Although the current petrochemical market segment will remain strongest in the near future, it is the transport and power sector which spurs the vision of a massive market takeoff in the next decade. The ever-rising share of renewable energies require flexible and scalable storage solutions, which in turn offers many additional revenue streams beyond pure electricity sales. Adding to this the strong impetus towards decarbonization of the transport sector from cars, trucks, trains to ships and even airplanes creates the breed for an exciting and yet untapped market potential. This course aims to clarify and assess the hydrogen business case along its value chain and versatile market applications. Training Objectives Understanding current hydrogen market status and recent developments Major drivers and inhibitors influencing the growth of the market Understanding and comparing various production technology processes Challenges and solutions in transport, distribution and storage of hydrogen Mapping the many petrochemical, energy and transport applications Analyse business cases from around the world and understand their economics Target Audience Project developers Equipment Manufacturers Oil, Gas and Petrochemical sector companies IPPs and utilities Transport sector companies and port operators Policy makers and regulators Investors and lenders Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. Trainer Your expert course leader is an internationally renowned energy communicator and business educator, focused on the interconnected clean energy transition topics of renewable power, energy storage, energy system electrification and hydrogen. His own independent technology tracking, market assessment and opportunity/risk analysis is delivered to clients through a mix of business advisory work, commissioned content, small-group training (online & in-person), and one-to-one executive coaching (online). In the hydrogen sector, he is currently lead consultant and trainer to the World Hydrogen Leaders network, and writer of their 'This Week in Hydrogen' news column. He is also co-presenter of the 'New Energy Chinwag' podcast, which regularly covers hydrogen-related issues. During more than 15 years as an independent energy expert, he has helped companies from large multinationals to innovative start-ups - totalling assignments in over 30 countries across 5 continents. Most recently, he has presented clean energy training in locations as diverse as Singapore, the UK, South Africa, The Philippines, the USA, Mexico, Spain and Dubai - and, in recent times of course, online to international audiences from across the world. Prior to this, he was Research Director for over 10 years at Informa, a $9 billion business intelligence provider; where he drove new market identification, analysis and project deployment work, and managed teams in the UK and US. He has a strong science background, holding a 1st Class Honours degree in Natural Sciences from the University of Cambridge, a PhD in Earth Sciences and a further Diploma in Economics & Sustainability from the UK's Open University. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

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

Application delivery training course description A concise hands on course covering section 1 of the F5 networks AD fundamentals exam. The course focuses on the technology and not any one manufacturers product. This will enable delegates to work with devices from any manufacturer. Practical hands on with Cisco and Microsoft systems follow the major sessions to reinforce the theory. What will you learn Explain, compare and contrast the OSI layers. Explain protocols and technologies specific to the data link layer. Explain protocols and apply technologies specific to the network layer. Explain the features and functionality of protocols and technologies specific to the Transport layer. Explain the features and functionality of protocols and technologies specific to the Application layer Application delivery training course details Who will benefit: Anyone taking the F5 networks AD fundamentals exam. Technical staff working in Application delivery. Prerequisites: None. Duration 3 days Application delivery training course contents What is TCP/IP? Protocols, services. The Internet, RFCs, The OSI 7 layer model. Layer 1 cables. Ping and addressing Host configuration of IP addresses, subnet masks, default gateways, ipconfig, ping. Hands on Configuring TCP/IP, ping. Ethernet and the data link layer 802.3, evolution, choosing cables, topologies, CSMA/CD, hubs, NICs, MAC addresses. Hands on Analysing MAC addresses. IP and Ethernet Relationship. Hands on ARP. What is a switch? Switches connect multiple devices, switches versus hubs, simultaneous conversations, switches work at layer 2, the forwarding database, how the forwarding database is built, broadcast and collision domains. Hands on Difference between hubs and switches. Link aggregation Loops, broadcast storms, STP, Architectures, modes, link aggregation, load sharing, resilience. Hands on fail over times. VLANs Virtual versus physical LANs, Why have VLANs? Broadcast domains. Hands on VLANs effect on traffic. IP IP datagram format, ICMP datagram format. Hands on Analysing IP and ICMP packets. IP addressing Format of addresses, registering, dotted decimal notation, choosing addresses, DHCP. Hands on impact of addressing errors. Routing What is a router? Reason for routing, network addressing, default gateways, how routing works, routing and addresses, routing tables, traceroute. Hands on Using a routed network. Routing protocols IGPs, EGPs, RIP & OSPF. Hands on Configuring routers for RIP and OSPF. Subnetting When to subnet, subnet masks, working with subnetting, CIDR notation. Hands on Changing the routed network to use subnetting. The transport layer UDP, Ports, TCP, acknowledgements, sliding windows. Hands on Analysing packets. Applications Clients, servers, web, Email SMTP, resource sharing, IM, VoIP, Video over IP, terminal emulation, FTP. Hands on FTP, SIP. Web pages URLs, DNS, names to IP addresses. HTTP, versions and status codes. Keepalives, cookies. Hands on Analysing HTTP headers.

Microsoft security training course description A hands on training course focusing on security in the Microsoft environment. The course progresses from patch management onto the use of Microsoft security tools. Then server, desktop and network security are studied in the Microsoft environment. What will you learn Use Microsoft security tools. Secure Microsoft servers. Secure Microsoft desktops. Secure Microsoft networks. Microsoft security training course details Who will benefit: Technical server support staff. Technical desktop support staff. Technical network staff. Technical security staff. Prerequisites: Supporting Windows server 2016 Networking Microsoft systems. Duration 3 days Microsoft security training course contents Introduction Security threats, Microsoft defaults, admin accounts, security patches, patch management, patch tools. Hands on: Studying Microsoft defaults, applying security patches. Microsoft security tools Microsoft updates, WSUS, Inventory tool, baseline security analyser, URLscan, EventCombMT, Cipher security tool, Port reporter, PortQry. Tools hackers use. Hands on: Using Microsoft security tools. Server security Checklists, core server security, AD, Member server security, Domain controller security, Specific roles. Hands on Hardening Microsoft servers, security templates. Active Directory Admin authority in AD, group policy, trust and authentication. Desktop security Checklists, core client security, anti virus software, anti spyware software, firewalls, securing clients with AD, securing clients with group policy, software restriction policies. Hands on Securing Microsoft desktops. Network security Checklist, IP security, VPNs, PKI, certificate authorities, RAS, RRAS, IAS. Hands on: VPN configuration, IAS configuration. Monitoring Auditing, authorisation and logons, tracking, system monitoring, detecting attacks. Hands on: Monitoring Microsoft systems. Summary Microsoft security response centre, security advisories.

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)