15 Software Developer courses in Manchester

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.

OBJECTIVE-C PROGRAMMING TRAINING COURSE DESCRIPTION A hands on introduction that will allow you to master Objective-C and start using it to write powerful native applications for even the newest Macs and iOS devices! Using The step-by-step approach, will let you get comfortable with Objective-C's unique capabilities and Apple's Xcode 5 development environment. Make the most of Objective-C objects and messaging. Work effectively with design patterns, collections, blocks, foundation classes, threading, Git and a whole lot more. Every session builds on what you've already learned, giving a rock-solid foundation for real-world success! WHAT WILL YOU LEARN * Use Xcode 5. * Declare classes, instance variables, properties, methods, and actions. * Use arrays, dictionaries, and sets. * Expand and extend classes with protocols, delegates, categories, and extensions. * Use Apple's powerful classes and frameworks. OBJECTIVE-C PROGRAMMING TRAINING COURSE DETAILS * Who will benefit: Developers wanting to learn Objective-C. * Prerequisites: Software development fundamentals. * Duration 5 days OBJECTIVE-C PROGRAMMING TRAINING COURSE CONTENTS * PART 1: GETTING STARTED WITH OBJECTIVE-C * The Developer Program: Objective-C, enrolling as an Apple Developer, setting up the development environment, Xcode. Your first project. * OO programming with Objective-C: OO projects, Frameworks, classes and instances, encapsulation, accessors, Inheritance. * OO features in Objective-C: Messages, methods, working with id, nesting messages, method signatures and parameters. allocating and initializing objects. Using Xcode: Xcode, source code control, git and Xcode, Using a Remote Repository. * Compiler Directives: Projects, Compiler Directives, Prefix headers, main.m, .h files. * PART 2: OBJECTIVE-C BASICS * Messaging in a Testbed App: Setting Up the Testbed Apps, Adding a Text Field and Connecting It to Your Code, Sending a Message to the Text Field, Reviewing the Message Syntax. * Declaring a Class in an Interface File: Context, Creating an Instance Variable with id, What Happens When Execution Stops, dynamic binding, Creating an Instance Variable for with the Class Name and with a Superclass Name, instance variable visibility. * Properties in an Interface File: Interface Variables vs Properties, Declared Properties, Using Attributes. Implementing Properties. @synthesize, @dynamic. * Methods in an Interface File: Methods in a Class, class and instance methods, Method declaration, returning complex data structures from Methods. * Actions in an Interface File: Actions, Actions in OS X and iOS, disconnecting actions. * Routing messages with selectors: Receiver and selector objects in messages, Objective-C Runtime, SEL and @selector (), performSelector, NSInvocation, testing whether an Instance can respond to a selector. * Building on the Foundation: The Foundation Framework, Foundation Classes, Foundation Paradigms and Policies; Mutability, class clusters, notifications. * Defining a Class in Implementation Files: Projects, dynamic typing, creating a new App, implementing a method, expanding Classses with init Methods. * Organizing Data with Collections: Collecting Objects, Property Lists, Runtime, comparing the Collection Classes, Creating a Collection, Objective-C Literal Syntax, Enumerating collections, Testing Membership in a Collection, Accessing an Object in a Collection. * Managing Memory and Runtime Objects: Managing objects in memory, managing reference counts manually and with ARC, variable qualifiers, variable autorelease. * PART 3: EXPANDING AND EXTENDING CLASSES * Protocols and Delegates: Subclassing, Protocols, Delegates, Looking Deeper Inside Protocols. * Categories and Extensions: Comparing categories and protocols, categories vs subclasses, working with categories, class extensions, informal protocols. * Associative References and Fast Enumeration: Objective-C 2.0 Time-Saving Features, Extending Classes by Adding Instance Variables (Sort of), Using Fast Enumeration. * Blocks: Revisiting Blocks, Callbacks, Blocks, Exploring Blocks in Cocoa, Cocoa Blocks and Memory. * PART 4: BEYOND THE BASICS * Handling Exceptions and Errors: Exception and Error classes: NSException, NSError, Identifying exceptions, throwing exceptions, catching exceptions. * Queues and Threading: Getting Started with Concurrency, Introducing Queues, Dispatch Sources, Using Dispatch Queues. * Working with the Debugger: Logging Information, Console Logs, NSLog, Smart Breakpoints, enhancing breakpoints with messages. * Using Xcode Debug Gauges for Analysis: Debug Gauges, Monitoing CPU and memory utilization, monitoring energy, Using Instruments. * PART 5: OPTIONAL TOPICS * C Syntax Summary: Data Types, Control Structures. * Apps, Packages, and Bundles: Project Bundles, lproj Files, Asset Catalogs, plist Files, Precompiled Header Files (.pch). * Archiving and Packaging Apps for Development and Testing: Archiving.

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

COMPLETE RUBY PROGRAMMING TRAINING COURSE DESCRIPTION This course starts with a quick-start session and then explains the language in detail from the bottom up. Hands on sessions follow all the major sessions to reinforce the theory. WHAT WILL YOU LEARN * Read Ruby programs. * Write Ruby programs. * Debug Ruby programs. COMPLETE RUBY PROGRAMMING TRAINING COURSE DETAILS * Who will benefit: Anyone wishing to program in Ruby. * Prerequisites: Software development fundamentals * Duration 3 days COMPLETE RUBY PROGRAMMING TRAINING COURSE CONTENTS * Introduction A tour of Ruby, Try Ruby, A suduko solver in Ruby. * The Structure and execution of Ruby Lexical structure, Syntactic structure, Files structure, Program encoding, Program execution. * Datatypes and objects Numbers, text, Arrays, Hashes, Ranges, Symbols, True, false, and nil, Objects. * Expressions and operators Literals and keyword literals, Variable references, Constant references, Method invocations, Assignments, Operators. * Statements and control structures Conditionals, loops, Iterators and enumerable objects, Blocks, Altering flow control, Exceptions and exception handling, BEGIN and END, Threads, fibres and continuations. * Methods, Procs, Lambdas and closures Defining simple methods, Method names, Methods and parentheses, Method arguments, Procs and lambdas, Closures, Method objects, Functional programming. * Classes and modules Defining a simple class, Method visibility: public, protected, privates, Subclassing and inheritance, Object creation and initialization, Modules, Loading and requiring modules, Singleton methods and Eigenclass, Method lookup, Constant lookup. * Reflection and metaprogramming Types, classes and modules, Evaluating strings and blocks, Variables and constants, Methods, Hooks, Tracing, ObjectSpace and GV, Custom control structures, Missing methods and missing constants, Dynamically creating methods, Alias chaining. * The Ruby platform Strings, Regular expressions, Numbers and Math, Dates and times, Collections, Files and directories, Input/output, Networking, Threads and concurrency. * The Ruby environment Invoking the Ruby interpreter, The Top-level environment, Practical extraction and reporting shortcuts, Calling the OS, Security.

TOTAL PHP TRAINING COURSE DESCRIPTION PHP provides for the creation of dynamic web sites. This hands on training course looks at programming with PHP with an emphasis of building dynamic websites. Forms, state management and database integration are all covered with practicals used throughout the course to reinforce theory sessions. WHAT WILL YOU LEARN * Create dynamic web sites using PHP. * Write PHP programs. * Debug PHP programs. * Examine existing code and determine its function. TOTAL PHP TRAINING COURSE DETAILS * Who will benefit: Anyone creating dynamic web sites. * Prerequisites: Software development fundamentals * Duration 3 days TOTAL PHP TRAINING COURSE CONTENTS * What is PHP? PHP history, dynamic web pages, how PHP works, alternatives to PHP. Downloading and installing PHP. Installing MySQL, installing Apache, platform issues. * A first PHP web page A basic PHP script, PHP page structure. PHP comments. Integrating PHP and HTML. * PHP forms HTML forms, taking values from forms. * PHP and HTML Page inputs, environment inputs. phpinfo(), other form elements, sticky fields, generalised code, tables, forms, form elements, style sheets, JavaScript. * Variables operators and expressions Expressions, data types, assignments, scope, constants, HTTP environment variables, getting data from forms using variables. * Operators Arithmetic, logical, relational, Boolean, others. * Control statements Conditional: if, else, elseif, switch. Loops: while, do while, for, break, continue, exit. * Functions Built in functions, declaration, arguments, scope, loading functions from other files, defaulting parameters, call by value/ name. * Arrays Indexes, array initialisation, array manipulation, multi dimensional arrays, array functions. * String handling What is a string, string functions, matching, extraction, replacement. String operations, cleansing, sprintf, formatting web pages, strops and others, splitting strings, REs. * PHP and databases Database structure, Database APIs, MySQL, Creating tables, Editing tables, simple SQL queries using PHP, building HTML tables using SQL queries, SQL injection, security issues, error handling. * File I/O Opening, reading, writing files. Permissions, ownership, locking, directories. * PHP, cookies and sessions State, Cookie properties, setting cookies, retrieving cookies, expiring/deleting cookies. Sessions, session variables, session IDs. * PHP and email Emailing from servers, attachments. * Objects OOP, PHP classes, constructors, instances.

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

This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects.

ISTQB® FOUNDATION TRAINING COURSE (2 persons minimum) The aim of this course is to provide you with the knowledge and skills to pass an exam certifying you as an ISTQB® Certified Tester - Foundation Level. Most organisations require this certification as a minimum skill requirement for software testers. In this course you will learn a standardized approach to software testing that will be immediately applicable to your projects. In order to get the certification you will be required to pass a 60-minute exam. Our trainers will fully prepare you by employing scenarios that mirror the exam questions, and by focusing course delivery with a balance of theory and practice. Target group: Functional Tester, Agile Tester, User Acceptance Tester, Test Automation Specialist, Performance Testing Specialist, Testing Team Lead, Test Manager, Business analyst Prerequisites: There are no specific prerequisites for this course. This course is suitable for anyone involved in software testing. Duration: 3 days. Training objectives: * Learn aspects of test planning, estimation, monitoring and control. * Understand and use international standards and terminology. * Understand and implement effective testing techniques. * Be well prepared for the exam. * Identify the missing testing skills for the career development purposes. This course covers the following areas: * Fundamentals of software testing * Testing throughout the life cycle (software development models, test levels, test types) * Test design techniques (e.g. specification-based or black-box techniques, structure-based or white-box techniques) * Static testing (static testing techniques, review process, tool-assisted static analysis) * Test management (test organisation, test planning and estimation, test progress monitoring and control, risks) * Tools to support testing (types, benefits and risks) Language: English

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.