10296 Courses in Cardiff delivered Online

Building a parser is one of the early steps of designing a compiler. And to build a parser, it is important to learn about the different parsing techniques and how they work. In this course, we are going to learn just that.

Overview This comprehensive course on AutoCAD Programming using VB.NET with Windows Forms will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This AutoCAD Programming using VB.NET with Windows Forms comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this AutoCAD Programming using VB.NET with Windows Forms. It is available to all students, of all academic backgrounds. Requirements Our AutoCAD Programming using VB.NET with Windows Forms is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 6 sections • 61 lectures • 09:51:00 total length •Module 01: Course Outline: 00:03:00 •Module 02: Introduction: 00:05:00 •Module 03: Who is this course for?: 00:04:00 •Module 04: Tools Needed for this Course: 00:01:00 •Module 01: What will you learn from this Course - Overview: 00:06:00 •Module 01: Windows Form and Controls - Overview: 00:04:00 •Module 02: ControlsDemo Project - Overview: 00:03:00 •Module 03: ControlsDemo Project - Creating the Project: 00:04:00 •Module 04: Controls Demo Project - Designing the Form: 00:19:00 •Module 05: ControlsDemo Project - Creating the Utility Class: 00:10:00 •Module 06: ControlsDemo Project - Coding the Combobox Control: 00:15:00 •Module 07: ControlsDemo Project - Coding the Textbox Control: 00:10:00 •Module 08: ControlsDemo Project - Coding the Radiobutton Control: 00:08:00 •Module 09: ControlsDemo Project - Coding the Checkbox Control: 00:17:00 •Module 01: Draw Rectangle Project - Overview: 00:03:00 •Module 02: Creating the DrawRectangle Project: 00:04:00 •Module 03: DrawRectangle Project - Creating the Utility Class: 00:20:00 •Module 04: DrawRectangle Project - Designing the Form: 00:15:00 •Module 05: DrawRectangle Project - Coding the User Interface Part 1: 00:24:00 •Module 06: DrawRectangle Project - Coding the User Interface Part 2: 00:18:00 •Module 07: DrawRectangle Project - Running the Program: 00:06:00 •Module 08: Automate Update Layer Project - Overview: 00:02:00 •Module 09: Creating the AutomateUpdateLayer Project: 00:03:00 •Module 10: Automate Update Layer Project - Creating the Utility Class: 00:17:00 •Module 11: AutomateUpdateLayer Project - Designing the User Interface: 00:07:00 •Module 12: AutomateUpdateLayer Project - Coding the Form: 00:18:00 •Module 13: AutomateUpdateLayer Project - Running the Program: 00:07:00 •Module 14: Automatic Block Extractor Project - Overview: 00:03:00 •Module 15: AutomaticBlockExtractor Project - Creating the Project: 00:03:00 •Module 16: AutomaticBlockExtractor Project - Creating the User Interface: 00:09:00 •Module 17: AutomaticBlockExtractor Project - Coding the Form: 00:27:00 •Module 18: AutomaticBlockExtractor Project - Creating the Utility Class: 00:27:00 •Module 19: AutomaticBlockExtractor Project - Running the Program: 00:10:00 •Module 20: AutomateUpdateTextStyles Project - Overview: 00:03:00 •Module 21: AutomateUpdateTextStyle Project - Creating the Project: 00:02:00 •Module 22: AutomateUpdateTextStyle Project - Creating the User Interface: 00:09:00 •Module 23: AutomateUpdateTextStyle Project - Coding the Form: 00:20:00 •Module 24: AutomateUpdateTextStyle Project - Coding the Utility Class: 00:16:00 •Module 25: AutomateUpdateTextStyle Project - Running the Program: 00:08:00 •Module 26: Multiple Plot DWG to PDF Project - Overview: 00:03:00 •Module 27: MultiplePlotDWGtoPDF Project - Creating the Project: 00:04:00 •Module 28: MultiplePlotDWGtoPDF Project - Creating the User Interface: 00:09:00 •Module 29: MultiplePlotDWGtoPDF Project - Coding the Form: 00:20:00 •Module 30: MultiplePlotDWGtoPDF Project - Creating the Utility Class: 00:30:00 •Module 31: MultiplePlotDWGtoPDF Project - Running the Program: 00:13:00 •Module 32: Multiple Object Extractor Project - Overview: 00:03:00 •Module 33: MultipleObjectExtractor Project - Creating the Project: 00:02:00 •Module 34: MultipleObjectExtractor Project - Creating the User Interface: 00:15:00 •Module 35: MultipleObjectExtractor Project - Coding the Form Load Event: 00:05:00 •Module 36: MultipleObjectExtractor Project - Coding the Browse Buttons: 00:10:00 •Module 37: MultipleObjectExtractor Project - Coding the Extract Button: 00:20:00 •Module 38: MultipleObjectExtractor Project - Coding the ProcessDrawing Method: 00:09:00 •Module 39: MultipleObjectExtractor Project - Coding the ProcessObjectExtraction Method: 00:11:00 •Module 40: MultipleObjectExtractor Project - Coding the ExtractLine Method: 00:09:00 •Module 41: MultipleObjectExtractor Project - Coding the ExtractCircle Method: 00:03:00 •Module 42: MultipleObjectExtractor Project - Coding the ExtractPolyline Method: 00:09:00 •Module 43: MultipleObjectExtractor Project - Coding the ExtractMText Method: 00:05:00 •Module 44: MultipleObjectExtractor Project - Coding the ExtractBlock Method: 00:05:00 •Module 45: MultipleObjectExtractor Project - Running the Program: 00:15:00 •Module 01: Conclusion: 00:01:00 •Assignment - AutoCAD Programming using VB.NET with Windows Forms: 00:00:00

Description Register on the Deep Learning & Neural Networks Python - Keras today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Deep Learning & Neural Networks Python - Keras course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Course Introduction And Table Of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML Or DL For The Next AI Project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation And Sample Program To Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow Library Installation And Sample Program To Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation And Switching Theano And TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps And Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network With Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training And Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding The Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - K-Fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing The Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding The Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing The Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning For Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding The Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing The Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement By Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement By Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement By Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load The Trained Model As JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save And Load Model As YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load And Predict Using The Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load And Predict Using The Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load And Predict Using The Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load And Predict Using The Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction To Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading The Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule Using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Handwritten Digit Recognition Dataset MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model Using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN Using MNIST Large CNN using MNIST 00:09:00 Load And Predict Using The MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction To Image Augmentation Using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation Using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation Using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation Using Rotation And Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding And Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN Using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train And Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load And Predict Using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Overview This comprehensive course on Introduction to Microeconomics will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Introduction to Microeconomics comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Introduction to Microeconomics. It is available to all students, of all academic backgrounds. Requirements Our Introduction to Microeconomics is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 25 sections • 28 lectures • 10:36:00 total length •Introduction: 00:02:00 •Ten Principles of Economics: 00:28:00 •Thinking Like an Economist: 00:33:00 •Interdependence and the Gains from Trade: 00:23:00 •The Market Forces of Supply and Demand: 00:24:00 •Elasticity and Its Application: 00:19:00 •Supply, Demand, and Government Policies: 00:30:00 •Consumers, Producers, and the Efficiency of Markets: 00:20:00 •Application: The Costs of Taxation: 00:20:00 •Application: International Trade: 00:32:00 •Externalities: 00:17:00 •Public Goods and Common Resources: 00:11:00 •The Design of the Tax System: 00:18:00 •The Costs of Production: 00:24:00 •Firms in Competitive Markets: 00:23:00 •Monopoly: 00:26:00 •Monopolistic Competition: 00:16:00 •Oligopoly: 00:20:00 •The Markets for the Factors of Production: 00:18:00 •Earnings and Discrimination: 00:21:00 •Income Inequality and Poverty: 00:30:00 •The Theory of Consumer Choice: 00:26:00 •Frontiers of Microeconomics: 00:20:00 •Advanced Topic Class 1: 00:30:00 •Advanced Topic Class 2: 00:30:00 •Advanced Topic Class 3: 00:31:00 •Advanced Topics Class 4: 00:44:00 •Assignment - Introduction to Microeconomics: 00:00:00

Description Classroom Behavior Management Diploma Classroom behavior is the stimulus-driven responses by the students happening within the classroom. In other words, it deals with the behavior of students in response to what is happening around them within the classroom. Classroom behavior can be seen as either positive or negative. Positive classroom behavior encompasses discipline, attentiveness and participation whereas negative classroom behavior includes aggression, disobedience and passivity. Poor classroom behavior is linked to poor academic performance and that is why classroom behavior management is an important area in educational institutions. Classroom management is mainly behavior modification by teachers to promote positive classroom behavior and discourage negative classroom behavior. How a teacher manages a classroom can have a great impact on the classroom behavior of students and this has led to great emphasis on effective management. Classroom behavior management diploma focuses on various skills and techniques the teachers can employ to keep students academically productive throughout the class. After completing classroom behavior management diploma course you will be able to foster a classroom culture that encourages academic achievement, maximizes academic progress and enable students to have productive and stimulating experiences that they will learn from and never forget. classroom behavior management diploma is an important course for professors, lecturers, teachers and everyone with a teaching-related job. What you will learn 1: Moulding Behaviour in Classrooms 2: Socializing Children 3: Rules, Boundaries and Consistency 4: Planning for Learning - 1 5: Planning for Learning - 2 6: Using Praise 7: Eliminating Low-Level Disruption 8: Creating Engagement 9: Building Rapport 10: Common Problems and Scenarios Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

Understanding commodity codes is vital to internationally trading businesses. Commodity codes are used worldwide to determine the customs duty and other charges levied on the goods when importing and exporting. They also determine any preferential treatments or restrictions and prohibitions that may apply to the goods and are used for monitoring trade volumes and applying international trade measures. This virtual half-day course will provide an insight into what commodity codes are and how getting them wrong can have a big impact on your business. By attending this course, we will ensure you: Are aware of what a commodity code is and what it is used for Understand the process of how to classify goods Successfully classify a range of goods Understand the importance of getting your commodity codes correct. Please note: If you are working towards your British Chamber of Commerce (BCC) Foundation Award, this course will count towards 1 of your 6 modules. Please make sure you select the ‘Yes’ option in the dropdown option for BCC when booking.

Level 7 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

About this Training Course In our pursuit to discover oil & gas in deeper horizons, wells are often drilled in a HPHT environment. To be considered a HPHT well, the downhole conditions will have pressures in excess of 10,000 psi (69 MPa) and 300° F (150° C). To drill these usually expensive wells successfully, the planning and execution phase has to be of an exceptionally high standard. Therefore, both operator and drilling/service contractor staff must be seamlessly aligned and work as a coherent team to reach and then harness the well objectives. This is particularly important when speciality services such as Managed Pressure Drilling (MPD) are being applied with crews and/or supervisors who are not intricately familiar with complicated well control incidents. As we seek to prevent costly non-productive time, attention will also be paid to enabling technologies like expandable solid tubulars, mud coolers and specialty mud. The 3 full-day course will explain the key characteristics and challenges of HPHT Planning and Well Control. This includes: Differences between HPHT and standard (conventional) wells and what this entails for well design. The challenges unique to HPHT and the impact of Pore Pressure Prediction (PPP). Static and Dynamic Equivalent Mud Density and the factors that influence the ultimate Bottom Hole Pressure (BHP). Control practices such as 'fingerprinting' to identify what's happening downhole. HPHT shut-in procedures and practices. Specific HPHT equipment and drilling tool requirements and advantages of Managed Pressure Drilling (MPD). Well control on/off bottom, bull-heading and dealing with kick-loss situations. Mud management, tolerance on mud properties and challenges in cementing. Case history on emergency control. Drills, team effort, checklists, human factor and 'getting everybody on board'. Training Objectives By the end of this course, participants will be able to: Recognize the main differences in planning/design between HPHT and standard (conventional) wells as well as the challenges that will have to be faced. Explain drilling and tripping operational challenges and practices as well as how to manage these effectively. Identify wellbore breathing (a.k.a. ballooning) and how to safely deal with this within the narrow window for mud density selection. Apply practices of consistent fingerprinting and how to develop procedures for this to benefit the rig team. Measure and understand bottom hole pressure and the effect of influencing factors such as temperature, rotation and flow rate. Understand the critical mud properties to alleviate barite sag, general mud density control techniques and specify the essentials in cementing. Manage losses and low fracture gradients with well bore strengthening methods. Execute sound HPHT shut-in procedures. Understand how MPD can assist in the safe and efficient drilling and hole cleaning of HPHT wells. Understand the use of MPD Influx Management Envelopes. Identify critical Early Kick Detection Systems (EKDS) and HPHT well control equipment. Execute safe secondary well control practices in a H2S environment, bull-heading, on and off bottom and handling of gas at surface, using MGS and hydrate mitigation measures. Target Audience The course is intended for: Office-based staff engaged in HPHT well planning and day-to-day operations Field-based rig staff working as front-line supervisors - from Assistant Drillers to Senior Toolpushers Field-based rig staff working for service companies supporting the execution of HPHT wells (MPD, mud and mudlogging services etc.) Trainer Your expert course leader has over 45 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in the well engineering domain. After being employed in 1974 by Shell, one of the major oil & gas producing operators, he worked as an apprentice on drilling rigs in the Netherlands. After a year, he was sent for his first international assignment to the Sultanate of Oman where he climbed up the career ladder from Assistant Driller, to Driller, to wellsite Petroleum Engineer and eventually on-site Drilling Supervisor, actively engaged in the drilling of development and exploration wells in almost every corner of this vast desert area. At that time, drilling techniques were fairly basic and safety was just a buzz word, but such a situation propels learning and the fruits of 'doing-the-basics' are still reaped today when standing in front of a class. After some seven years in the Middle East, a series of other international assignments followed in places like the United Kingdom, Indonesia, Turkey, Denmark, China, Malaysia, and Russia. Apart from on-site drilling supervisory jobs on various types of drilling rigs (such as helicopter rigs) and working environments (such as jungle and artic), he was also assigned to research, to projects and to the company's learning centre. In research, he was responsible for promoting directional drilling and surveying and advised on the first horizontal wells being drilled, in projects, he was responsible for a high pressure drilling campaign in Nigeria while in the learning centre, he looked after the development of new engineers joining the company after graduating from university. He was also involved in international well control certification and served as chairman for a period of three years. In the last years of his active career, he worked again in China as a staff development manager, a position he nurtured because he was able to pass on his knowledge to a vast number of new employees once again. After retiring in 2015, he has delivered well engineering related courses in Australia, Indonesia, Brunei, Malaysia, China, South Korea, Thailand, India, Dubai, Qatar, Kuwait, The Netherlands, and the United States. The training he provides includes well control to obtain certification in drilling and well intervention, extended reach drilling, high pressure-high temperature drilling, stuck pipe prevention and a number of other ad-hoc courses. He thoroughly enjoys training and is keen to continue taking classes as an instructor for some time to come. 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

Get hands-on and learn to build a full-stack app using React.js as the frontend and its web API for the backend

Dive into the world of image segmentation with PyTorch. From tensors to UNet and FPN architectures, grasp the theory behind convolutional neural networks, loss functions, and evaluation metrics. Learn to mold data and tackle real-world projects, equipping developers and data scientists with versatile deep-learning skills.