1531 Courses in Cardiff delivered Live Online

Participants gain a foundational understanding of the UX design process, tools and techniques through an engaging mix of theory and practical application exercises.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Applied AI: Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This basic course is for: Business Analyst Systems Engineer Software Engineer Requirements Engineer Requirements Manager Requirements Team Leader Overview Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data This course builds on the content learned in the IBM Engineering Requirements Management DOORS V9.6 Foundation course. It is designed for those who will be in the role of team lead or project manager, or who want to learn more about advanced DOORS end-user functionality. It discusses creating and structuring DOORS projects, defining linking relationships and attributes, setting access permissions, and managing change. It also discusses external linking, working with spreadsheets, and applying configuration management strategies to DOORS data. Course Outline Build projects in DOORS, including defining data structure, linking schema, attributes, and access permissions Use DOORS external linking facilities Share DOORS information with 3rd parties Control the flow of changes through your DOORS database Apply configuration management and backup strategies to your DOORS data

Businesses that don't control their costs don't stay in business. How well are you doing? Is everyone in your organisation sufficiently aware of costs, managing them effectively and maximising opportunities to reduce them? If there is scope for improvement, this course will help get you back on track. It will demonstrate that cost reduction is so much more than cost control and cost cutting. True cost management is about being aware of costs, seeking to reduce them through good design and efficient operating practices whilst taking continuing action on overspending. This course will develop the participants' skills in: Being aware of costs at all times Seeking cost reduction from the start (including life-cycle costing) Appraising projects / production to identify and take out risk Understanding real budgeting Using techniques such as ZBB and ABC where appropriate Ensuring cost reports lead to action Managing a cost reduction process that delivers Benefits to the organisation will include: Identification of cost reduction and business improvement opportunities Better reporting and ownership of costs Greater awareness and control of everyday costs 1 Introduction - the cost management process The risks of poor cost control Capital and revenue costs The importance of cost awareness The importance of cost reduction Cost management - the key aspects How to build a cost management and control process checklist for your areas of responsibility 2 Cost removal - taking out costs Cost awareness Costs of poor design / poor processes Value engineering Removing redundant costs 3 The need for commercial, technical and financial appraisals Understand the problems before cash is committed and costs incurred Making the effort to identify commercial and technical risk The time value of money - DCF techniques for long term projects Cost models for production processes and projects Costing models - project appraisals The use of spreadsheets to identify sensitivity and risk How to focus on risk management 4 Budgeting - proper budgeting challenges costs The philosophy of the business - are costs an issue? The importance of having the right culture The need for detailed business objectives Budgetary control measures Designing budget reports - for action 5 Zero-based budgeting (ZBB) - the principles Much more than starting with a clean sheet of paper What ZBB can achieve The concept of decision packages - to challenge business methods and costs Only necessary costs should be incurred A review of an operating budget - demonstrating what ZBB challenges and the costs it may lead to being taken out 6 Awareness of overheads and other costs Definitions of cost - direct and indirect Dealing with overheads - what is meant by allocation, absorption or apportionment? The apparent and real problems with overheads Different ways of dealing with overheads Review of overhead allocation methods and accounting and reporting issues 7 Overheads and product costing Activity-based costing (ABC) - the principles Where and how the ABC approach may be helpful Know the 'true' cost of a product or a project Should you be in business? Will you stay in business? Identifying weaknesses in a traditional overhead allocation How ABC will help improve product or service costing Identifying which products and activities should be developed and which abandoned 8 Cost reduction culture The need for cost reports What measures can be used to identify over-spends as early as possible Cost control performance measures and ratios 9 Design of cost control reports Reports should lead to action and deliver Selecting cost control measures which can be acted upon Practice in designing action reports 10 Course summary - developing your own cost action plan Group and individual action plans will be prepared with a view to participants identifying their cost risks areas and the techniques which can be immediately applied to improve costing and reduce costs

Duration 4 Days 24 CPD hours This course is intended for Risk professionals Business analysts Project managers Compliance professionals IT professionals Anyone whose work includes evaluating and mitigating risk Overview This boot camp prepares you to pass the ISACA CGEIT exam, which covers four domain areas designed to reflect the work performed by individuals who have a significant management, advisory or assurance role relating to the governance of IT. Domain 1: Governance of enterprise IT Domain 2: IT resources Domain 3: Benefits realization Domain 4: Risk optimization This CGEIT Boot Camp is designed for experienced IT governance personnel and those who have responsibilities for the stewardship of IT resources. You will learn how to effectively implement and manage governance across all areas of technology ? as well as align that technology with strategic enterprise goals. This training also explains the CGEIT examination process and helpsprepare you for your CGEIT exam by providing guidance and testing your exam readiness through sample questions. You?ll leave fully prepared to earn your CGEIT certification. Course Outline Domain 1: Governance of enterprise IT Domain 2: IT resources Domain 3: Benefits realization Domain 4: Risk optimization

Duration 3 Days 18 CPD hours This course is intended for This course is designed for software developers, testers, and architects who design and develop software in various programming languages and platforms, including desktop, web, cloud, and mobile, and who want to improve their ability to deliver software that is of high quality, particularly regarding security and privacy. This course is also designed for students who are seeking the CertNexus Cyber Secure Coder (CSC) Exam CSC-210 certification Overview In this course, you will employ best practices in software development to develop secure software.You will: Identify the need for security in your software projects. Eliminate vulnerabilities within software. Use a Security by Design approach to design a secure architecture for your software. Implement common protections to protect users and data. Apply various testing methods to find and correct security defects in your software. Maintain deployed software to ensure ongoing security... The stakes for software security are very high, and yet many development teams deal with software security only after the code has been developed and the software is being prepared for delivery. As with any aspect of software quality, to ensure successful implementation, security and privacy issues should be managed throughout the entire software development lifecycle. 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. You will learn general strategies for dealing with security defects and misconfiguration, how to design software to deal with the human element in security, and how to incorporate security into all phases of development. Identifying the Need for Security in Your Software Projects Identify Security Requirements and Expectations Identify Factors That Undermine Software Security Find Vulnerabilities in Your Software Gather Intelligence on Vulnerabilities and Exploits Handling Vulnerabilities Handle Vulnerabilities Due to Software Defects and Misconfiguration Handle Vulnerabilities Due to Human Factors Handle Vulnerabilities Due to Process Shortcomings Designing for Security Apply General Principles for Secure Design Design Software to Counter Specific Threats Developing Secure Code Follow Best Practices for Secure Coding Prevent Platform Vulnerabilities Prevent Privacy Vulnerabilities Implementing Common Protections Limit Access Using Login and User Roles Protect Data in Transit and At Rest Implement Error Handling and Logging Protect Sensitive Data and Functions Protect Database Access Testing Software Security Perform Security Testing Analyze Code to find Security Problems Use Automated Testing Tools to Find Security Problems Maintaining Security in Deployed Software Monitor and Log Applications to Support Security Maintain Security after Deployment

Duration 3 Days 18 CPD hours This course is intended for This introduction to Spring development course requires that incoming students possess solid Java programming skills and practical hands-on Java experience. This class is geared for experienced Java developers who are new to Spring, who wish to understand how and when to use Spring in Java and JEE applications. Overview Working in a hands-on learning environment, students will review configuration basics of the Spring framework. The course then moves into Spring Boot, providing in-depth content and experience working with Spring Boot to accomplish a variety of tasks. In addition to working through the Spring Actuator, students work extensively at testing and debugging Spring Boot applications. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' application development and Spring experience into every classroom. Working in a hands-on learning environment, led by our expert practitioner, students will: Review the concept of Java-based configuration Become familiar with the conditionally loading bean definitions and Application Contexts Understand how to leverage the power of Spring Boot Use Spring Boot to create and work with JPA repositories Use Spring Boot to work in conjunction with Spring Cloud Understand the Spring Cloud project and how it relates to general Cloud concepts and practices Work with Spring Cloud configuration and the Config Client The Spring framework is an application framework that provides a lightweight container that supports the creation of simple-to-complex components in a non-invasive fashion. Spring's flexibility and transparency is congruent and supportive of incremental development and testing. The framework's structure supports the layering of functionality such as persistence, transactions, view-oriented frameworks, and enterprise systems and capabilities. Introduction to Spring Boot and Spring Cloud is a hands-on Spring training course geared for experienced Java developers who need to understand what the Spring Boot is in terms of today's systems and architectures, and how to use Spring in conjunction with other technologies and frameworks. This course targets Spring Boot 2, which includes full support for Java 8 and JEE 7 (earlier versions of Java and JEE continue to be supported). Spring supports the use of lambda expressions and method references in many of its APIs. Spring makes enterprise development easier. Spring simplifies common tasks and encourages good design based on programming to interfaces. Spring makes your application easier to configure and reduces the need for many JEE design patterns. Spring puts the OO design back into your enterprise application, and it integrates nicely with many view technologies and the new features of HTML5. Introduction to Spring The Spring Framework Configuring Spring Managed Beans Defining Bean dependencies Spring Cloud Spring Boot Additional Configuration Spring Cloud Project Introduction to Spring Boot Working with Spring Boot Spring AOP Introduction to Aspect Oriented Programming Spring Cloud Config Spring Cloud Registry and Discovery Spring AOP Spring Boot 2 Spring Boot Actuator Developing in Spring Boot Thymeleaf Spring Cloud GateWay Additional course details: Nexus Humans Introduction to Spring Boot and Spring Cloud (TT3324) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Spring Boot and Spring Cloud (TT3324) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

About this Training Course This 5 full-day course has been designed to develop skills in understanding the geometry and petrophysical characteristics of carbonate reservoirs. Depositional fabric, grain type and size and subsequent diagenetic modifications are the major controls on carbonate reservoir behaviour. The complex inter-relationship of the depositional and burial history can be unravelled to allow prediction of reservoir facies and reconstruction of three-dimensional reservoir models. This course will demonstrate the value of the reservoir model in volumetric assessment and development of carbonate reservoirs. *Previous knowledge of carbonate sedimentology is not required. Course Content in Summary: Carbonate reservoirs: Basic principles; depositional concepts; grain types; textures and fabrics; environmental reconstruction. The reservoir model - depositional and diagenetic characteristics: Sabkha/tidal flat; lagoon; shelf; reef (rudist and coral/algal); barrier/shoal; slope and redeposited; aeolian and lacustrine; karst plays. Carbonate diagenesis: Primary and secondary porosity; compaction; pressure solution; cementation; dolomitisation; porosity generation and destruction; fractures. Carbonate sequence stratigraphy Log response in carbonate rocks: Gamma; sonic; neutron; density; FMS. Reservoir assessment: Fracture reservoirs; reservoir modelling; volumetric assessment in correlation and mapping; effects of capillary pressure; interface with engineering. Training Objectives By attending this course, participants will be able to: Understand carbonate depositional systems and controls. Recognise and model controls on reservoir quality and pore systems, including diagenesis and fracturing. Understand and apply carbonate seismic stratigraphy and sequence stratigraphy. Interpret log responses. Target Audience This course is intended for petroleum geologists, explorationists, petrophysicists, geophysicists and engineers involved with exploration of carbonate plays and development of carbonate reservoirs. Trainer Your expert course leader is a Director and Senior Consultant Geologist who has worked on various carbonate consultancy projects, conducted detailed sedimentological, sequence stratigraphic and diagenetic technical studies and delivered training programmes. He was formerly Managing Director of Robertson UK Limited and was responsible for the integration between different disciplines, recognition, and encouragement of technical innovation and research and development programmes across all oil and gas divisions in the company. He was also responsible for all aspects of the performance of the main Geological, Geophysical and Reservoir Engineering Services in the company. 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 Virtual Instructor Led Training (VILT)  This 5 half-day course provides a detailed description of all performance testing methods for all thermal power plant equipment including boilers, turbines, condensers, pumps, fans, deaerators, and feedwater heaters. The methodology, and code requirements for the performance tests for all thermal power plant equipment will be explained in detail. The preparatory work and instrumentation required for each test will also be covered during the course. The efficiency calculations for all equipment used in circulating fluidized bed (CFB) boiler and pulverized coal boiler power plants will be explained, including all processes, operational and maintenance activities, capital projects, technical options, potential initiatives and incentives to implement upgrades / repairs for increasing the power plant equipment efficiency. The course will also provide a thorough explanation of CFB and pulverized coal boiler technology including hydrodynamics, combustion, emissions, design considerations, gas-solid separators, design of CFB and pulverized coal boiler components, management of solid residues, materials, stoichiometric calculations, and model for sulfur capture. The operation, maintenance, testing, and refurbishment options of all the equipment and systems used in CFB and pulverized coal power plants will be presented, including boilers, superheaters, reheaters, turbines, condensers, feedwater heaters, deaerators, pumps, compressors, fans, electric generators, instrumentation and control systems, and governing systems, etc. The participants will get equipped on all factors which affect the CFB and pulverized coal boiler power plant efficiency and emissions, all methods used to calculate the heat rate of CFB and pulverized coal power plants as well as all areas in CFB and pulverized coal boiler power plants where efficiency loss can occur. Updated information on the methods used to improve CFB boiler and pulverized coal boiler power plant heat rate will also be provided. It includes: Optimizing the combustion process and sootblowing Controlling the steam temperature Recovering moisture from boiler flue gas Performing steam turbine maintenance Lowering condenser back pressure Pre-drying high moisture coal and reducing stack temperature Training Objectives Thermal Plant Performance Testing: Gain a thorough understanding of all the performance testing methods for all thermal power plant equipment including boilers, turbines, condensers, pumps, fans, daerators, and feedwater heaters Performance Test Methodology and Code Requirements: Understand the methodology, and code requirements for performance tests of all thermal power plant equipment Performance Test Preparatory Work and Instrumentation: Learn about the preparatory work and instrumentation required for each equipment performance test in a thermal power plant Equipment Efficiency Calculations: Gain a thorough understanding of the efficiency calculations for all the equipment used in circulating fluidized bed (CFB) boilers and pulverized coal boilers power plants Calculating the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Learn all the methods used to calculate the heat rate of CFB and pulverized coal boiler coal power plants Benefits of Lowering the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Understand all the benefits of lowering the heat rate of CFB coal power plants Methods Used to Improve CFB and Pulverized Coal Boiler Power Plants Heat Rate: Gain a thorough understanding of all the methods used to improve the heat rate of CFB and pulverized boiler coal power plants Processes, Operational and Maintenance Activities in CFB and Pulverized Coal Boiler Power Plants: Discover all the processes, operational and maintenance activities used to improve the heat rate of CFB and pulverized coal power plants Capital Projects Used to Improve the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Learn about all the capital projects used to improve the heat rate of CFB and pulverized coal power plants Technical Options for Improving the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Understand all the technical options used to improve the heat rate of CFB and pulverized coal boiler power plants Potential Initiatives and Incentives to Implement Upgrades / Repairs for Improving the Heat Rate of CFB and Pulverized Coal Bed Boiler Power Plants: Discover all the potential initiatives and incentives to implement upgrades / repairs for improving the heat rate of CFB and pulverized coal power plants Factors Affecting CFB and Pulverized Coal Boiler Power Plants Efficiency and Emissions: Learn about all the factors which affect CFB and pulverized coal boiler power plants efficiency and emissions Areas in CFB and Pulverized Coal Power Plants where Efficiency Loss Can Occur: Discover all the areas in CFB and pulverized coal power plants where efficiency loss can occur Optimize the Operation of CFB and Pulverized Coal Power Plant Equipment and Systems to Improve the Plant Heat Rate: Understand all the techniques and methods used to optimize the operation of CFB and pulverized coal power plant equipment and systems to improve the plant heat rate CFB and Pulverized Coal Power Plant Equipment and Systems: Learn about the various types of CFB and pulverized coal power plant equipment and systems including boilers, superheater, reheaters, steam turbines, governing systems, deaerators, feedwater heaters, coal-handling equipment, transformers, generators and auxiliaries Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Training Methods The VILT will be delivered online in 5 sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. The instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all the delegates 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 to their own organization. Trainer Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all 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 to their own organization. Each delegate will receive a soft copy of the following materials written by the instructor: 'POWER GENERATION HANDBOOK' second edition published by McGraw-Hill in 2012 (800 pages) Excerpt of the relevant chapters from the 'POWER PLANT EQUIPMENT OPERATION AND MAINTENANCE GUIDE' published by McGraw-Hill in 2012 (800 pages) THERMAL POWER PLANT PERFORMANCE TESTING MANUAL (includes practical information about all the performance testing methods for all thermal power plant equipment - 400 pages) POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations