1716 Courses delivered Online

ICA Certificate in Anti Money Laundering A practical, introductory-level course that will give you a solid understanding of core money laundering and terrorist financing risks. Through this qualification, you will: discover what money laundering and terrorist financing are and why sanctions are important appreciate the vulnerabilities of financial institutions to money laundering and terrorist financing explore what anti money laundering and combating terrorist financing is in practice and what the legal and regulatory structures look like understand management obligations and the risk-based approach to money laundering and terrorist financing Suitable for operational or front-line staff and those considering embarking on a new career in AML as a stepping-stone for study at a higher level. This course is awarded in association with Alliance Manchester Business School, the University of Manchester. What are the benefits of undertaking this qualification?: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate This ICA Certificate in Anti Money Laundering is awarded in association with Alliance Manchester Business School, the University of Manchester. Upon successful completion of this course, students will be awarded the ICA Certificate in Anti Money Laundering - Cert (AML) What will you learn? Understanding Money Laundering, Terrorist Financing and Sanctions Vulnerabilities of financial institutions to money laundering and terrorist financing Anti money laundering and combating terrorist financing in practice Anti money laundering and combating terrorist financing - legal and regulatory structures Management obligations and the risk-based approach to money laundering and terrorist financing How will you be assessed? Assessed by online multiple-choice exam

Vectorworks Course face to face One to one

About this Virtual Instructor Led Training (VILT) This 2 half-day Virtual Instructor-Led Training (VILT) course will guide participants on the technoeconomic aspects of capture, utilization and geological storage of carbon dioxide. The VILT course will address the methods and techniques used in the technoeconomic assessment of Carbon Capture, Utilization & Storage (CCUS) projects. It will explore in detail the factors that affect the cost-effectiveness of current and emerging technologies for CO2 capture, transport and geological storage, including monitoring and verification. Given that the successful deployment of CCUS may require economic incentives, technical and economic drivers such as technological innovation, optimization, source sink matching and emerging opportunities will also be discussed. In addition, using several worked examples and case studies, this VILT course will explain the principles behind the analysis of the costs and opportunities of a CCS / CCUS project from source to sink and examines the possibilities of using carbon dioxide from an economic perspective. Training Objectives Upon completion of this VILT course, participants will be able to: Describe the economic considerations for CCS / CCUS projects Measure and calculate the cost-effectiveness of CCS / CCUS Identify the economic drivers for CCS / CCUS Understand the value of source to sink matching Outline the economic and environmental opportunities as well as challenges with using carbon dioxide injection in a range of applications Recognize niche opportunities for CO2 storage (coal seams, basalts, salt and others)   Target Audience This VILT course is ideally suited for a technical audience such as geoscientists, petroleum and chemical engineers as well as professionals such as economists, regulators, legal staff and managers wishing to learn more about the details of economic aspects and the basis for techno-economic analysis of Carbon Capture, Utilization and Storage projects. The VILT course is presented in an interactive workshop format, allowing for discussions. Participants should have: Basic background knowledge of CCUS technologies Experience with oil and gas, coal or other energy projects Basic understanding of the energy industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with 2 breaks of 15 minutes per day. The VILT course is presented in an interactive workshop format that allows discussion. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Your expert course leader received his B.Eng. in Chemical and Environmental Systems in 2002 from Tecnológico de Monterrey, Mexico, and his Ph.D. in Chemical Engineering in 2008 from the University of New South Wales (UNSW), in Sydney, Australia, at the UNESCO Centre for Membrane Science and Technology. His doctoral used computational fluid dynamics (CFD) to analyse the flows within membrane modules used for water treatment and desalination. He also worked on a desalination linkage project between the UNSW and the European Union, as part of Framework Programme 6. From 2009 to 2014, he worked for the Cooperative Research Centre for Greenhouse Gas Technologies (CO2CRC), where he led the research into CO2 Transport Networks, co-led the development of a techno-economic model for the analysis of Carbon Capture and Storage (CCS) projects, and collaborated on several consultancy and feasibility studies conducted by CO2CRC for both Government and Industry. From 2014 to 2019, he held a CONACYT Research Fellowship at the Instituto Tecnológico de Sonora (ITSON) in Mexico, where he led collaborative research projects dealing with RO membrane biofouling (IHE-Delft), membrane modifications, solar energy use for desalination (CSIR-CSMCRI India) and CFD modelling of the hydrodynamics in membrane modules (UMP Malaysia). Since July 2019, he is a Research Fellow in the School of Chemical and Biomolecular Engineering at the University of Sydney, where his research focuses on finding ways to reduce the cost, energy use and environmental impact of technologies for providing clean energy and water. From 2015 to 2020, he was a Member of the Board of Directors of the Mexican Society of Membrane Science and Technology. He guest edited a special edition on CCS for the Journal 'Technologies' and is currently an Editorial Board member for the journal, 'Energies', a peer-reviewed open-access scientific journal. His research interests include improving the efficiency of osmotic membrane separation processes, modelling complex processes involving heat and mass transfer, and exploring the economic drivers of low emission technologies such as the Carbon Capture and Storage (CCS) chain. 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

About this Training Course Liquefied Natural Gas (LNG) has provided intercontinental mobility to natural gas, which now provides about 25% of the global primary energy. Being the cleanest fossil fuel, natural gas/LNG consumption is forecasted to grow in all future scenarios. With the entry of various players, including Trading companies, the LNG value chain is becoming increasingly complex, and a solid understanding of its economics and management of its interfaces have become crucial to identify and assess investment opportunities and risks. Recent market disturbances caused by COVID-19, Oil & Gas price instabilities - coupled with the political (Ukraine/Russia) challenges - make a deep understanding of LNG Value Chain Logistics and Economics even more essential to ensure the security of energy supplies sustainably and profitably. This intermediate level 3 full-day course starts with a concise introduction to the LNG business. Thereafter, the elements of the LNG value chain are described, and their individual economics analysed. A Business Activity Model along the value chain will be developed and discussed in depth, covering the following key processes: 'Buy Gas - Transport Gas - Liquefy Gas - Sell LNG/Products - Ship LNG - Regasify LNG' The integrated chain economics will then be developed and quantified. A hands-on group workshop/exercise developing the economic case of a full-sized Liquefaction project will be carried out, considering the forecasted cash flows throughout the project life, the location of the plant, its markets, project sensitivities and profitability assessment. Participants will be provided with Excel based tools/models (LNG Liquefaction project development Net Present Value (NPV) analyses, Shipping Freight Calculations and Economics) to work through the exercises and also for their future personal use. Training Objectives After the completion of this course, participants will be able to: Understand how the LNG Value Chain operates, bound by the relevant Contracts and Agreements. Learn the basic economic parameters (operating, capital costs, financing, profitability) of each major element of the value chain. Appreciate the complexity of the value chain, and the associated opportunities and risks. Develop quantitative project evaluation skills. Explore options to maximise profitability in a given LNG value chain. Discuss best practices on how to manage, steer and govern these activities. Target Audience Technical, Operational, Shipping, Commercial, Project and Governance professionals who are already active in a specific section of the LNG Value Chain will directly benefit in developing a wider and deeper perspective on how the LNG Value Chain operations and can be optimised. Managers (Technical, Financial, Legal and Governance) less familiar with the specifics of the LNG Industry will also benefit from attending this VILT course, as they will obtain the required background to be able to set sharper targets, suitable performance indicators, and governance and performance assessment guidelines for units engaged in the chain. The course is most relevant for professionals engaged in the LNG industry at: National and International Oil & Gas/Energy Companies LNG Importers/Exporters/Traders/Shippers Government & Regulatory Agencies Finance Institutions It will also apply to the following audience: Business Development Managers Corporate Planning Professionals Project Developers Supply Planners & Scheduling Professionals Regulators Tax & Finance Advisors Compliance Officers Equity Analyst and Bankers Joint Venture Representatives, Board Directors Negotiators and Contracting Staff Trading Professionals Course Level Intermediate Trainer Your expert course leader is an Oil & Gas/LNG professional with more than 35 years of international experience, majority of which was gained at Shell International Joint Ventures engaged in Oil Refining, Supply / Trading, Gas Supply and LNG Businesses in the Netherlands, France, Thailand, Dominican Republic and Nigeria. Since 2004, he has had several roles in the management of the LNG Value Chain including the Commercial Operational Management of Nigeria LNG (NLNG). He played an active role in the start-up and integration of LNG trains 4, 5 and 6 with NLNG becoming the 3rd largest LNG producer in the world in 2007. Commercial operations spanned 4 Gas Supply, 11 LNG Sales & Purchase Agreements, ad-hoc LPG and Condensate Sales and LNG Ship Chartering contracts. Under his supervision, more than 2,000 LNG cargoes were exported. He was part of the organizational transformation of the company from a Project-based set-up to a Production / Commercial based structure and implemented an 'Integrated Planning and Scheduling Department' in which he optimized the value chain (Buy-Gas - Liquify Gas to LNG - Sell - Ship LNG). Staff competence management was one of his focus areas during this period. He was also the NLNG representative on JV Technical, Commercial, Shipping Committees where he interfaced with Government & Regulatory authorities. In 2014, he was appointed as Shell Shareholder representative to NLNG and became a Non-Executive Board member to NLNG companies, including Bonny Gas Transport (BGT) managing 24 LNG Ships. During this period, he was involved in the Economic and Technical steering of the Shipping Fleet and Liquefaction Plant Rejuvenation projects and a further capacity expansion of liquefaction plant which resulted in the achievement of NLNG train 7 project FID in 2019. Since 2016, he has been active as an independent consultant. He co-authored 2 patents and more than 30 published papers/presentations. He holds a PhD from Delft University of Technology in the Netherlands and a MSc and BSc in Chemical Engineering from the University of Birmingham, UK. 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

Earn a respected and highly recognized diploma as you sharpen your skills in english/spanish multicultural frameworks for social, official and business arenas

The objective of the Level 7 Diploma in Health and Social Care Management qualification (accredited by OTHM) is to develop learners' understanding of policy, management theory and practice in health and social care. It provides you with an opportunity to engage with the challenges facing professionals, services users and policy makers in their own country. It will also provide you with the knowledge that underpins the ability to work as an effective manager in the hospitals/social care industry. It combines both theoretical and practical knowledge in the health and social care profession. This Level 7 Diploma in Health and Social Care Management qualification will develop and enhance knowledge and skills in the areas of leading change, effective performance, planning and accountability, development and team leadership. Learners will be able to work in a variety of roles within health care administration and/or management. Successful completion of the Level 7 Diploma in Health and Social Care Management qualification enables learners to progress into or within employment and/or continue their study towards a relevant Master's programme with advanced standing. Key Highlights of Diploma in Health and Social Care Management - Level 7 qualification are: Program Duration: 9 Months (Can be Fast tracked) Program Credits: 120 Credits Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Master's degree programme. LSBR Alumni Status No Cost EMI Option This level 7 Diploma in Health and Social Care Management will develop and enhance knowledge and skills in the areas of leading change, effective performance, planning and accountability, development and team leadership. You will be able to work in a variety of roles within Health Care Administration and/or Management in the Hospitals / Social Care Industry You will be able to work in a variety of roles within Health Care Administration and/or Management in the Hospitals / Social Care Industry. Upon successful completion of the programme, you will also become eligible to gain direct entry into relevant Master's degree programme. Mandatory Units (Total Credits: 120) The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Health and Social Care Management. The total credits earned will be 120 credits. Health and Social Care Leadership (20 credits) Managing People in Health and Social Care (20 credits) Managing Finance in the Health and Social Care Sector (20 credits) Health and Social Care Strategies and Policies (20 credits) Leading Change in Health and Social Care (20 credits) Research Methods for Healthcare Professionals (20 credits) Who is this course for? Working Professionals Level 6 / Year 3 of a three-year UK Bachelor's degree holders or learners who are looking for Career Progression. a formal Postgraduate qualification leading to award of degrees in future. Requirements For entry onto the Level 7 Diploma in Health and Social Care Management qualification, learners must possess: an honours degree in related subject or UK level 6 diploma or an equivalent overseas qualification. Learner must be 18 years or older at the beginning of the course. No formal qualification is required from mature learners (over 21 years) who have relevant management experience. Please speak to the Admission Counselors for waiver information. Career path Become eligible to gain direct entry into relevant Master's degree programme after completion of your Level 7 Diploma in Health and Social Care Management Completion of your qualification will meet the University standard academic entry requirements. However, each applicant will be subject to individual assessment and other entry requirements which may affect university entry.

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Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!

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