23 Volunteer courses in Belfast

full-time General English in the UK for 4 weeks MINIMUM, and covers the areas of listening, speaking, reading, writing, and grammar. It also includes 4x weeks MAXIMUM of work for a charity. study and volunteer in the UK

Understanding, working with and leading systems that promote patient safety in this way will become increasingly important for all health care providers and this course will help to build a solid foundation in this crucial subject to enhance your career and improve your patient care.

This regulated and nationally recognised basic life support training (BLS) and management of anaphylaxis course allows students to hone their skills and knowledge in BLS and AED use as well as anaphylaxis treatment. This first aid course is intended for individuals who have a specific responsibility at work, at home, or in volunteer and community activities to render basic life support and manage anaphylaxis in the event of an emergency. This course can be adapted to both adults and paediatrics.

Workplace Mediation

We are offering an Annual Child Protection Awareness Course at your organisation for up to 50 people for a low cost of £800+vat. It’s essential that anyone who works or volunteers with children or young people has the knowledge and skills needed to help keep children safe. But what does that mean in practice? Statutory guidance sets out the child protection requirements for people working or volunteering with children in the UK.

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 Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. 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 fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management 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 implications of gas-lift systems for their fields and reservoirs 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 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

Organisational development, Organisational culture, Organisational values, Organisational environment,

Supervising First Aid for Mental Health | RQF Level 3 The RQF Level 3 Supervising First Aid for Mental Health course is designed to provide individuals with the knowledge and skills to effectively supervise and support others in the workplace who may be experiencing mental health issues or distress. This course aims to equip participants with a deeper understanding of mental health, enabling them to provide guidance, reassurance, and signposting to appropriate professional help. Understanding Mental Health: Participants will gain a comprehensive understanding of mental health, including common mental health conditions, their causes, and the impact they can have on individuals and workplaces. They will learn to recognize signs and symptoms of mental health issues and develop an understanding of the stigma and misconceptions surrounding mental health. Promoting a Positive Mental Health Culture: Participants will explore strategies to promote a positive mental health culture in the workplace. This includes raising awareness, reducing stigma, and fostering a supportive and inclusive environment that prioritises mental well-being. Providing Mental Health Support: Participants will learn how to provide immediate and practical support to individuals experiencing mental health issues or emotional distress. They will be trained in active listening skills, effective communication techniques, and providing non-judgmental and empathetic support. Signposting and Referral: Participants will develop the skills to signpost individuals to appropriate professional help and resources. They will learn about available support services, both within and outside the workplace, and how to facilitate access to these services. Crisis Management: Participants will be prepared to respond to mental health crises and emergencies. They will learn how to assess risk, manage situations involving self-harm or suicidal ideation, and understand the importance of maintaining personal and professional boundaries. Supporting Workplace Mental Health Policies: Participants will understand the importance of workplace mental health policies and how to support their implementation. They will explore the role of supervisors in promoting mental health, identifying potential triggers or stressors in the workplace, and implementing strategies to support employee well-being. Successful completion of the RQF Level 3 Supervising First Aid for Mental Health course indicates that participants have developed the necessary knowledge and skills to effectively supervise and support individuals experiencing mental health issues in the workplace. They will be equipped to provide guidance, signposting, and initial assistance, contributing to a mentally healthy and supportive work environment. It's important to note that this course does not qualify participants as mental health professionals or therapists. It is focused on providing basic mental health support and guidance in the workplace context. If participants wish to pursue more in-depth training or a career in mental health, they may consider further studies or qualifications in mental health counseling, psychology, or related fields. Suitability - Who should attend? The RQF Level 3 Supervising First Aid for Mental Health course is suitable for individuals who have a responsibility for supervising and supporting others in the workplace, particularly in relation to mental health. It is beneficial for supervisors, managers, team leaders, human resources personnel, and anyone in a position of authority or influence within an organization. This course is relevant for individuals across various industries and sectors who wish to develop their understanding of mental health, enhance their skills in supporting others, and contribute to creating a mentally healthy work environment. It is especially suitable for those who have regular interactions with employees or colleagues and are involved in promoting well-being and providing guidance. The course is valuable for individuals in roles where they may be responsible for implementing mental health policies, supporting employees facing mental health challenges, or providing initial assistance in crisis situations. It equips participants with the knowledge and skills to recognize signs of mental health issues, provide appropriate support and signposting, and contribute to fostering a positive mental health culture within their organization. While there are no strict prerequisites for enrolling in the RQF Level 3 Supervising First Aid for Mental Health course, some prior knowledge or experience in mental health awareness or first aid can be beneficial. However, the course is designed to accommodate learners with varying levels of understanding and experience in the field. It's important to note that this course does not qualify participants as mental health professionals or therapists. It focuses on providing fundamental knowledge, skills, and guidance for workplace mental health support. If you require more advanced or specialised training in mental health, it may be necessary to consider additional qualifications or seek professional development opportunities in specific areas of interest. Before enrolling in the course, consider the specific requirements and recommendations of your workplace or industry. Discuss the suitability and relevance of the course with your employer or supervisor to ensure it aligns with your professional development goals and responsibilities within your organization. Outcome / Qualification etc. Upon successful completion of the RQF Level 3 Supervising First Aid for Mental Health course, participants can expect to achieve several learning outcomes: Comprehensive Understanding of Mental Health: Participants will develop a thorough understanding of mental health, including different mental health conditions, their causes, and their impact on individuals and workplaces. They will gain knowledge about the prevalence of mental health issues and the importance of promoting mental well-being in the workplace. Recognition of Mental Health Issues: Participants will be able to recognize signs and symptoms of common mental health conditions, enabling them to identify when someone may be experiencing mental health issues or emotional distress. They will develop skills in observation, active listening, and empathy to assess the well-being of others. Effective Support and Signposting: Participants will acquire the skills to provide immediate support and guidance to individuals experiencing mental health issues. They will learn active listening techniques, effective communication strategies, and non-judgmental approaches to engage with and support others. They will also be able to signpost individuals to appropriate professional help and resources. Creation of a Mentally Healthy Workplace: Participants will understand their role in promoting a mentally healthy workplace culture. They will learn strategies to reduce stigma, raise awareness, and create a supportive environment that prioritizes mental well-being. They will also gain knowledge on how to implement workplace mental health policies and practices. Crisis Management and Referral: Participants will be prepared to respond to mental health crises and emergencies. They will develop skills in assessing risk, managing situations involving self-harm or suicidal ideation, and understanding the importance of timely and appropriate referral to professional mental health services. Supervision and Support Skills: Participants will develop skills in supervising and supporting others in the workplace who may be experiencing mental health issues. They will gain confidence in initiating conversations about mental health, providing guidance, and creating an atmosphere of trust and understanding. Successful completion of the RQF Level 3 Supervising First Aid for Mental Health course indicates that participants have achieved a higher level of knowledge and skills in supporting individuals with mental health challenges in the workplace. They will be equipped to provide appropriate support, signposting, and supervision, contributing to a mentally healthy and supportive work environment. It's important to note that while the course provides valuable knowledge and skills, participants should not consider themselves as mental health professionals. Ongoing professional development and engagement with mental health resources and services are essential to stay updated and provide the best support possible. Training Course Content DAY 1 Module 1 Introduction Module 2 What is first aid for mental health? Module 3 Identifying mental health conditions Module 4 Providing advice and starting a conversation Module 5 Stress Module 6 Drugs and alcohol Module 7 First aid action plan for mental health - including practical assessment Module 8 Mental health in the workplace Module 9 Depression Module 10 Anxiety Module 11 Written assessment - paper 1 DAY 2 Module 1 Syllabus and day 1 recap Module 2 Post-traumatic stress disorder Module 3 Self-harm Module 4 Suicide Module 5 Eating disorders Module 6 Personality disorders Module 7 Bipolar disorder Module 8 Psychosis Module 9 Schizophrenia Module 10 Written assessment paper 2 and course closure Course delivery details Classroom-based Training: Many training providers offer the course through traditional classroom-based sessions. Participants attend in-person training conducted by qualified instructors. These sessions provide opportunities for interactive discussions, practical exercises, case studies, and group activities to enhance learning and understanding of the course material. Blended Learning: Some training providers may offer a blended learning approach, combining both online and face-to-face components. Participants may complete certain modules or theory-based learning online at their own pace. The in-person sessions are then focused on interactive discussions, practical skills demonstrations, and group activities. Online Learning: In certain cases, the course may be delivered entirely online. Participants can access course materials, videos, interactive modules, and assessments through a dedicated online learning platform. Online learning offers flexibility in terms of when and where participants can engage with the course content. In-house Training: Organisations may opt for in-house training where a qualified instructor delivers the course directly to their employees or staff members. This can be customized to suit the specific needs and context of the workplace, allowing for more tailored discussions and examples relevant to the participants' roles and environment. Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price. Continuing Studies Upon completing the RQF Level 3 Supervising First Aid for Mental Health course, there are various opportunities for continuing studies and professional development in the field of mental health and workplace well-being. Here are some options to consider: Advanced Mental Health Training: If you wish to deepen your knowledge and skills in mental health, you may consider pursuing advanced training courses. These could include specialized courses on specific mental health conditions, such as depression, anxiety, or post-traumatic stress disorder (PTSD). Advanced courses can provide you with a more in-depth understanding of specific areas within the mental health field. Mental Health First Aid Instructor Training: If you have a passion for teaching and training others, you might consider becoming a certified mental health first aid instructor. Instructor training programs can equip you with the necessary skills and qualifications to deliver mental health first aid courses to others. This allows you to contribute to building a mentally healthier workforce by educating and empowering others. Workplace Well-being Programs: Many organizations are investing in workplace well-being programs to support the mental health of their employees. You could explore opportunities to get involved in developing and implementing such programs within your organization. This might involve collaborating with human resources, management, or well-being teams to design initiatives that promote mental health, resilience, and work-life balance. Higher Education and Further Studies: If you're interested in pursuing a more extensive education in mental health, you may consider enrolling in higher education programs related to psychology, counselling, or mental health. This could include undergraduate or postgraduate degrees, diplomas, or certifications that provide a deeper understanding of mental health theory, research, and clinical practice. Continuous Professional Development (CPD): Engaging in continuous professional development is essential in staying updated with the latest research, best practices, and developments in the field of mental health. Attend workshops, conferences, webinars, and seminars focused on mental health topics. These activities will enhance your knowledge and skills and ensure you stay current with evolving practices in the mental health field. Volunteer and Community Work: Engaging in voluntary work or community initiatives related to mental health can provide valuable hands-on experience and further develop your skills. Consider volunteering with mental health organizations, helplines, or community groups that focus on mental health support and advocacy. Remember to stay informed about the guidelines, regulations, and requirements set by relevant professional bodies or organizations in your country or region. This will help you align your continuing studies and professional development with recognised standards and qualifications. Continuing studies and professional development not only enhance your knowledge and skills but also demonstrate your commitment to the field of mental health and workplace well-being.