469 Courses in Bradford

Software development training course description This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-361, and build an understanding of these topics: Core programming, Object-Oriented programming, general software development, web applications, desktop applications, and databases. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. What will you learn Describe core programming. Explain Object Oriented programming. Describe general software development. Describe Web applications. Describe desktop applications. Explain how databases work. Software development training course details Who will benefit: Anyone looking to learn the fundamentals of software. Prerequisites: None. Duration 3 days Software development training course contents Core programming Computer storage and data types How a computer stores programs and the instructions in computer memory, memory stacks and heaps, memory size requirements for the various data storage types, numeric data and textual data. Computer decision structures Various decision structures used in all computer programming languages; If decision structures; multiple decision structures, such as If…Else and switch/Select Case; reading flowcharts; decision tables; evaluating expressions. Handling repetition For loops, While loops, Do...While loops and recursion. Understand error handling Structured exception handling. Object-oriented programming Classes Properties, methods, events and constructors; how to create a class; how to use classes in code. Inheritance Inheriting the functionality of a base class into a derived class. Polymorphism Extending the functionality in a class after inheriting from a base class, overriding methods in the derived class. Encapsulation Creating classes that hide their implementation details while still allowing access to the required functionality through the interface, access modifiers. General software development Application life cycle management Phases of application life cycle management, software testing. Interpret application specifications Application specifications, translating them into prototypes, code, select appropriate application type and components. Algorithms and data structures Arrays, stacks, queues, linked lists and sorting algorithms; performance implications of various data structures; choosing the right data structure. Web applications Web page development HTML, CSS, JavaScript. ASP.NET web application development Page life cycle, event model, state management, client-side versus server-side programming. Web hosting Creating virtual directories and websites, deploying web applications, understanding the role of Internet Information Services. Web services Web services that will be consumed by client applications, accessing web services from a client application, SOAP, WSDL. Desktop applications Windows apps UI design guideline categories, characteristics and capabilities of Store Apps, identify gestures. Console-based applications Characteristics and capabilities of console- based applications. Windows Services Characteristics and capabilities of Windows Services. Databases Relational database management systems Characteristics and capabilities of database products, database design, ERDs, normalisation concepts. Database query methods SQL, creating and accessing stored procedures, updating and selecting data. Database connection methods Connecting to various types of data stores, such as flat file; XML file; in-memory object; resource optimisation.

About the technique: The Kusum Modak Method, previously referred to as Ayurvedic Yoga Massage (AYM), Traditional Ayurvedic Massage, or simply Ayurvedic Massage, is now named in honor of its creator. This change was introduced with the establishment of the Modak Institute, founded by Kusum Modak to preserve her legacy with integrity and authenticity for future generations. This contemporary method combines traditional Ayurvedic Massage with Yoga, developed through Kusum Modak’s studies with her teachers, Limaye and B. K. S. Iyengar, in Pune, India. The therapy focuses on activating breath, circulation, and vital energy through deep touch using hands and feet, along with tractions and stretching maneuvers. Treatments are conducted on an orthopedic mat using vegetable oil and a natural powder called Vekhand, derived from a root known in the West as Calamus. Course Information: Course Structure: Over 10 days, students will gain the knowledge and skills to practice the Kusum Modak MethodSM and become officially certified as bodywork therapists by the Modak Institute. The program includes: Students will cultivate a therapeutic perspective and build confidence in applying the technique. This course follows the updated guidelines set forth by Kusum Modak through the Modak Institute. Content: Total Hours: 80 hours of practical classes + 4 hours online + 12 hours assessment Duration: 10 days (in person classes) Dates: June 3rd to 7th and June 10th to 14th, 2025 Schedule: 9:00 AM to 1:00 PM and 2:00 PM to 6:00 PM Course Location: Roots of Respect, 16 Blenheim Terrace Woodhouse LS2 9HN United Kingdom Hands-on practical exercises Detailed technical understanding of the 118 maneuvers Dedicated time for questions, reviews, and session exchanges Introduction to the basics of the technique (structure & practice); Kusum Modak MethodSM history and influential contributors; Introduction of Ayurveda Principles; The elements of the Kusum Modak MethodSM - AYTM The steps of the therapy sequence; Learning to warm up the muscles; Use of hands and feet (walking on the back); Understanding the quality of the touch to perform Kusum Modak MethodSM; Using therapy props (why and when to use them); Manoeuvres and stretching – how to apply and its variations; Synchronisation of the pressure and breath; Learning to set up a 1-hour sequence (which is the original duration) that will serve the needs of each client; Applied anatomy to the technique and subtle anatomy, pathology and application of the studied content; Client Assessment protocols. Why the medical history form is essential?; Contraindications; Postural correction and student welfare practices (preparing the body for delivery) Assessment: We offer complementary activities designed to provide a deeper understanding of the Method and to help you develop a more precise approach to your practice. To be approved and certified, you must: You will receive clear instructions and guidance to help you succeed, as well as detailed information about the evaluation criteria. The 4 hours of online activities include complementary lectures and related assignments. - Anatomy - Demystifying the Kusum Modak Method - Holistic Medical Systems - SOAP notes and Health History form Certification: You have two options: Review with Q&A Supervised Practice (individual correction, gaining accuracy) How to maintain health + wellbeing as a bodywork therapist. Attend 100% of the in person classes. Submit 10 case studies on the same person, including reports for 10 SOAP notes. Provide a video recording of the final session. MODAK INSTITUTE CERTIFICATE: The Modak Institute certificate is awarded to students upon successful completion of the course, which includes final assessment activities to be submitted within 60 days after the in person training. This certificate is issued by the Modak Institute, the only institute officially authorized and endorsed by Master Kusum Modak to represent her method. It validates that students are fully qualified to work professionally with Prerequisites: While no formal prerequisites are required, physical, mental, and emotional health are essential to participate in the intensive activities. Students will also develop awareness to their clients’ needs and enhance their own mindfulness during practice. Training Price: Modak Institute Certificate: 1650 GBP Level 3 Diploma Kusum Modak Method: + 295 GBP Payment Plan 1 - 100% Payment upfront with discount (50 GBP off) until March 15th 2 - 50% deposit - 50% until May 20th 3 - 4x (Feb, Mar, Apr, May) 4 - 5x (Feb, Mar, Apr, May, Jun) Please feel free to reach out if you need to arrange your payments differently. Cancellation Policy the Kusum Modak MethodSM and ensures their eligibility to obtain therapist insurance, providing recognition and support to practice as certified therapists. Once your final assessment is evaluated and approved, your certificate will be issued and sent directly to your email. Each certificate includes a unique digital code, enabling easy verification of your credentials and affiliation worldwide through Modak Institute website. MODAK INSTITUTE CERTIFICATE + LEVEL 3 DIPLOMA KUSUM MODAK METHOD: Same process as described above + Students may request the UK Level 3 Diploma Kusum Modak Method Certificate for an additional fee of 295 GBP, which requires completing three additional online courses (150 hours) to meet accreditation requirements. The student must request this certificate option at the time of registration. What’s Included: About the teachers: Purnima Full refundable with in two months in advance Partial refundable 50% in a month before starting the training After that is a non-refundable payment. 84 hours of structured and methodically designed training (80 in person + 4 online). Note: the student need to reserve plus 12 hours for assessment. Modak Manual, including photos of all maneuvers and additional insights into the method’s history and references. Official Modak Institute Certification. Access to video lectures. Oil and powder for use during the course. One year of membership in the Modak Institute, including: Participation in an online plataform Access to official graphic materials for promotional use Inclusion in the Modak Institute’s agenda for work promotion Exclusive Q&A WhatsApp group moderate by Purnima and Julia.

Advanced C++ training course description The course will give a broad overview of the C++ Programming language, focusing on modern C++, up to C++17. This course will cover the use of the Standard Library, including containers, iterator, function objects and algorithms. From the perspective of application development, a number of design patterns will be considered. What will you learn Write C++ programs using the more esoteric language features. Utilise OO techniques to design C++ programs. Use the standard C++ library. Exploit advanced C++ techniques Advanced C++ training course details Who will benefit: Programmers needing to write C++ code. Programmers needing to maintain C++ code. Prerequisites: C++ programming foundation. Duration 5 days Advanced C++ training course contents Study of a string class Create a string class as a means to investigate many issues, involving the use of operator overloading and including overloading new and delete. Creation of the class will also require consideration of 'const correctness'. Exception handling Consider the issues involved in exception handling including the concept of exception safety. Templates Review definition of template functions, including template parameter type deduction. Introduction to template metaprogramming. Newer features including template template parameters and variadic templates. Creation of template classes. Design patterns Introduction to Design Patterns and consideration of a number of patterns, such as, factory method, builder, singleton and adapter. The standard C++ library (STL) Standard Library features, such as, Containers, Iterator, Function Objects and Algorithms. Introduction to Lambda expressions. C++ and performance The writing of code throughout the course will be oriented towards performant code, including use of R Value references and 'move' semantics. Pointers The use of pointers will be considered throughout the course. Smart pointers will be considered to improve program safety and help avoid the use of 'raw' pointers. Threading This section will consider the creation of threads and synchronisation issues. A number of synchronisation primitives will be considered. Async and the use of Atomic will also be considered. New ANSI C++ features Summarising some of the newer features to be considered are: Auto, Lambdas expression, smart pointers, variadic templates and folds, R Value references and tuple together with structured binding.

Advanced Java training course description A tour of the more advanced features of Java following on from the Introduction to Java course. JDBC and JavaBeans are covered in separate courses. What will you learn Use Java to implement OOA/D. Use within Java programs - Internationalisation - Object serialisation - Reflection - RMI - Swing - JAR files Write Servlets and Java Server Pages Advanced Java training course details Who will benefit: Those wishing to program in Java. Prerequisites: Introduction to Java programming Duration 5 days Advanced Java training course contents What you should already know OO features in Java Static initialisers, object destruction, finalisation, constructor chaining, shadowing, Abstract classes and interfaces, inner classes, nested classes, member classes, local classes, anonymous classes. Internationalisation Locales, Unicode, local customs, localising messages. Object Serialisation Simple and custom serialisation, class versioning. Reflection Obtaining class and member information. RMI Restrictions, RMI architecture, Stubs, skeletons, rmic, the registry server, The RMI API. Swing An overview, examples, comparison vs. AWT, data transfer cut & paste. Servlets Servlet API, Java Web server, The servlet life cycle, chaining servlets, Hybrid servlets. JAR files and signed applet JAR files and signed applet

Leading SAFe®: In-House Training During this course, attendees gain the knowledge necessary to lead a Lean-Agile enterprise by using the Scaled Agile Framework® (SAFe®) and its underlying principles derived from Lean, systems thinking, Agile development, product development flow, and DevOps. Participants in the class gain insights into mastering business agility to thrive in competitive markets. They discuss how to establish team and technical agility and organize and re-organize around the flow of value. Attendees also learn and practice the skills to support and execute PI Planning events and coordinate multiple Agile Release Trains (ARTs). Class participants will explore the importance of adopting a customer-centric mindset and Design-Thinking approach to Agile Product Delivery. Learners will also understand how to implement a Lean Portfolio Management function within their enterprise. What you will Learn After attending this class, attendees should be able to: Lead the transformation to business agility with SAFe® Become a Lean-Agile leader Understand customer needs Design Thinking Enable Agile Product delivery Implement Lean Portfolio Management Thrive in the digital age with business agility Become a Lean-Agile leader Establish Team and Technical Agility Build solutions with Agile Product Delivery Explore Lean Portfolio Management Lead the change Become a Certified SAFe® Agilist

Overview The development, monitoring, and continued improvement of a highly-integrated, internal audit function is essential for the continued financial success, stability, and growth of world-class business entities. A well-designed and effective internal audit system will provide verification and support that accounting and financial policies, procedures, and controls are working adequately and will spotlight any significant matters that need attention. 

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

Attention Private 1-10 classes! Take advantage of our limited time offer and get your own training program at a discounted rate of £550 instead of £600. Our program is designed to help you fix dysfunctional points, improve mobility, build strength, and learn effective techniques using kettlebells, free weights, bodyweight exercises and combat movements / Muay Thai Boxing, Boxing, Brazilian Jiu Jitsu/  Achieve your fitness goals including weight loss, strength & muscle gain, better performance in your sports!  Don't miss out on this opportunity to invest in yourself! Single private class is £65 10 Private classes is £600 Get a 10 private class package with discount now, for £550

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

OOAD training course description A workshop course providing thorough practical knowledge of object oriented analysis and design methods. What will you learn Perform Systems Analysis with Object Oriented methods. Identify key classes and objects. Expand and refine OO problem domain models. Design Class hierarchies using inheritance and polymorphism. Design programs with Object Oriented methods. OOAD training course details Who will benefit: System analysts, designers, programmers and project managers. Prerequisites: It is desirable that delegates have experience of programming in C++/Java or some other OOP language. Duration 5 days OOAD training course contents What is OO? Classes, objects, messages, encapsulation, associations, inheritance, polymorphism, reusability. What is Systems Analysis and design? Data flow diagrams, structure diagrams. The OO approach. OOA The problem domain and object modelling. Identifying classes and objects. Generalisation and inheritance. Defining attributes and methods. OOD Refining the OOA results. Designing the User Interface. Designing the algorithms and data structures using objects. Designing the methods. OOP Prototyping. Implementing OOD with OOPs and OOPLs.