ITIL® 4 Specialist: High Velocity IT: In-House Training The ITIL® 4 Specialist: High-Velocity IT module is part of the Managing Professional stream for ITIL® 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: High-Velocity IT exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. This module addresses the specifics of digital transformation and helps organizations to evolve towards a convergence of business and technology, or to establish a new digital organization. It was designed to enable practitioners to explore the ways in which digital organizations and digital operating models function in high-velocity environments. Working practices such as Agile and Lean, and technical practices and technologies such as Cloud, Automation, and Automatic Testing are included. What You Will Learn At the end of this course, participants will be able to: Understand concepts regarding the high-velocity nature of the digital enterprise, including the demand it places on IT. Understand the digital product lifecycle in terms of the ITIL operating model. Understand the importance of the ITIL guiding principles and other fundamental concepts for delivering high-velocity IT. Know how to contribute to achieving value with digital products. Course Introduction Let's Get to Know Each Other Course Learning Objectives Target Audience Characteristics ITIL® 4 Certification Scheme Course Components Course Agenda Module-End Exercises Exam Details Introduction to High-Velocity IT High-Velocity IT Digital Technology Digital Organizations Digital Transformation High-Velocity IT Approaches Relevance of High-Velocity IT Approaches High-Velocity IT Approaches in Detail High-Velocity IT Operating Models Introduction ITIL® Perspective High-Velocity IT Aspects High-Velocity IT Applications ITIL® Building Blocks for High-Velocity IT Digital Product Lifecycle Service Value Streams Four Dimensions of Service Management ITIL® Management Practices High-Velocity IT Culture Key Behavior Patterns ITIL® Guiding Principles Supporting Models and Concepts for Purpose Ethics Design Thinking Supporting Models and Concepts for People Reconstructing for Service Agility Safety Culture Stress Prevention Supporting Models and Concepts for Progress Working in Complex Environments Lean Culture ITIL® Continual Improvement Model High-Velocity IT Objectives and Techniques High-Velocity IT Objectives High-Velocity IT Techniques Techniques for Valuable Investments Prioritization Techniques Minimum Viable Products and Services Product / Service Ownership A/B Testing Techniques for Fast Developments Basic Concepts Related to Fast Development Infrastructure as Code Reviews Continual Business Analysis Continuous Integration / Continuous Delivery (CI/CD) Continuous Testing Kanban Techniques for Resilient Operations Introduction to Resilient Operations Technical Debt Chaos Engineering Definition of Done Version Control Algorithmic IT Operations ChatOps Site Reliability Engineering (SRE) Techniques for Co-created Value Basic Concepts of Co-created Value Service Experience Techniques for Assured Conformance DevOps Audit Defense Toolkit DevSecOpsPeer Review
Cyber Security training course description The reliance of the world on the Internet and computer systems means the protection of information systems is vitally important. This is even more important smart devices and the Internet of Things increase the number of devices. This Cyber Security provides a concise overview on the threats and attacks that can happen along with the counter measures that can be taken. What will you learn Recognise the different types of attack. Describe the attacks that can be made against information systems. Describe the counter measures available. Cyber Security training course details Who will benefit: Non-technical staff working with computers. Prerequisites: None. Duration 1 day Cyber Security training course contents What is Cyber Security? Computer security, Policies, Types of security breach, denial of service, data manipulation, data theft, data destruction, security checklists, incident response. Attacks Physical access, Social engineering, Privilege escalation, Malware, Trojans, worms, viruses, rootkits, Backdoors, Denial of Service (DOS), Distributed DOS, Eavesdropping, Spoofing, Man the middle tampering. Countermeasures Prevention, detection, response. Physical, user accounts, Firewalls, IDS, AAA, authentication, cryptography, encryption, data integrity. Cyber security standards ETSI, ISO 27001, 27002, NIST, ISA/IEC 62443.
Heating, Ventilation & Air Conditioning (HVAC) Technician Course Online If any individuals in the UK can get into a lucrative career path with competitive salaries, you are cordially welcome to our Heating, Ventilation & Air Conditioning (HVAC) Technician Course. This Heating, Ventilation & Air Conditioning (HVAC) Technician Course provides an overview of HVAC, its systems, and the selection process. Also, the Heating, Ventilation & Air Conditioning (HVAC) Technician Course explains all the fundamentals of heating and psychrometrics. Moreover, our Heating, Ventilation & Air Conditioning (HVAC) Technician Course is perfect for learning the HVAC industry's safety and duct systems. To enhance your potential growth in this dynamic industry, join our Heating, Ventilation & Air Conditioning (HVAC) Technician Course quickly. [ Note: Free PDF certificate as soon as completing Heating, Ventilation & Air Conditioning (HVAC) Technician Course] Heating, Ventilation & Air Conditioning (HVAC) Technician This Heating, Ventilation & Air Conditioning (HVAC) Technician Course consists of 06 modules. Who is this course for? Heating, Ventilation & Air Conditioning (HVAC) Technician Course Take advantage of the Heating, Ventilation & Air Conditioning (HVAC) Technician Course if you want to hone your abilities while preparing for the career you want! Requirements Heating, Ventilation & Air Conditioning (HVAC) Technician Course To enrol in this Take advantage of the Heating (HVAC) Technician Course if you want to hone your abilities while preparing for the career you want! Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Heating (HVAC) Technician Course. Be energetic and self-motivated to complete our Heating (HVAC) Technician Course. Basic computer Skill is required to complete our Heating (HVAC) Technician Course. If you want to enrol in our Heating (HVAC) Technician Course, you must be at least 15 years old. Career path Heating, Ventilation & Air Conditioning (HVAC) Technician Course Our Heating, Ventilation & Air Conditioning (HVAC) Technician Course provides a privilege in the HVAC technician, HVAC engineer, HVAC sales representative, and other relevant sectors with a handsome salary.
Special Executive Masters Programme (S.E.M.P) This programme is geared at enhancing professionals' careers. The SEMP is an encapsulated Senior Management Programmes are short certificate modules designed for anyone who would benefit from more in-depth business knowledge delivered in a short and intensive programme What makes us different? We are a world class business school located in the heart of London, Dubai, Islamabad and Lagos. We are one of the fastest growing British business schools with a stylish blended learning model that is both online and on campus. Learn more about the programme Special Executive Master's Programme in Business Enterprise Software Course Overview The MSBM Special Executive Masters Programmes (SEMP) allows you to update your skills, develop new skills, and explore and develop interests in a wide range of topics. These courses can be taken as personal or professional development and may enhance your employability. Business Enterprise Software is a professional area of practice that assists enterprises in designing solutions to achieve their current and future business objectives. While enterprise software has most often been applied to complex technology environments with high technology investments, the practice is relevant for all types and sizes of enterprises. All enterprises have business goals and objectives, and all have resources that must be aligned with those goals in an effective and efficient way. Enterprise software is a critical first step in achieving those goals. One of the most important lessons from enterprise software is the importance of design and engineering before implementation. Business Enterprise Software is a critical area today given the increasing complexity of our environment and the need for greater agility. The virtualization of work, the multinational nature of work, the increasingly semantic and personalized nature of applications, the richness of technology, the increasingly networked nature of the business, a shift from simple projects to complex projects — all speak to the need for Business Enterprise Software. Course Details Mode of Study Using Web-based technology, this program provides self-paced, individualized instruction that can be taken anywhere and anytime an individual has access to a computer and the Internet. This Programme is suitable for successful professionals or specialists in the private, public, or voluntary sectors who have new management responsibilities and need to quickly expand their management knowledge. This Programme serves as a refresher course for those who have had their Masters a long time ago and need quick reminders and professional/ academic updates while it serves as a primer for those very experienced Professionals who never made time out for their masters yet they require the academic and practical relevance of this master’s experience. It is a short executive training that runs online for 3 months. Candidates will run 2 months of active lectures and series of assignments and 1 month for their dissertation. Upon successful completion of the Programme, candidates will be awarded a Continuing Professional Development (CPD) certificate in the specific Programme they have completed. What is a CPD Course? Continuing Professional Development (CPD) is the means by which professionals maintain and enhance their knowledge and skills. The world is constantly moving at a very fast pace so undertaking CPD is essential to support a professional in his/her current role as well as helping them with career progression. CPD is all about upgrading knowledge, skills, and capabilities to remain effective and compliant. A CPD course is an investment that you make in yourself. It’s a way of planning your development that links learning directly to practice. CPD can help you keep your skills and knowledge up to date and prepare you for greater responsibilities. It can boost your confidence, strengthen your professional credibility, and help you become more creative in tackling new challenges. Is the SEMP Business Enterprise Software Programme, right for me? Many organizations are embracing the use of business software to support their business priorities and objectives, and are implementing initiatives and programs to deploy business analytics across the enterprise. For these initiatives to succeed, organizations need to understand the key drivers that will facilitate the promotion and deployment of business analytics across the enterprise. The SEMP BES online program will provide an overview of the key organizational drivers and dimensions and will explore how business software should be aligned to support the organization's priorities. This online Programme will also discuss the role and function of enterprise Business software centers of excellence and their types and mandates. The SEMP BES will provide a guideline for assessing your organization's maturity, and for establishing a roadmap for an Enterprise Business Software Center of Excellence at your organization. Why SEMP Business Enterprise Software? This non-credit-bearing course provides an excellent introduction to the world of business process and systems consulting, implementation, and management. It is particularly relevant both for experienced consultants that wish to gain a broader knowledge of Business enterprise and those wishing to enter business for the first time. The course enables you to rapidly gain knowledge about how modern management information systems are structured, how they are managed and the issues in integrating them to support effective business decision making. You will take away a deep understanding of how to integrate business systems and the processes underlying them. You will gain not only knowledge of specific aspects of business enterprise, but also gain an appreciation for how a large enterprise attempts to pull together different business processes through a coherent enterprise system, and the challenges facing the elite consulting companies in implementing such systems. Who should enrol in this online Certificate Program? This online certificate program in Information System benefits professionals at all levels who want to contribute to their organization’s performance. Here are some of the people who will benefit from the online Programme: Cross-functional teams from within an organization can take the program, as that accelerates the impact and engenders a common language and understanding in the organization I.T Managers Business owners in the I.T Industry IT Trainers Accreditation The content of this course has been independently certified as conforming to universally accepted Continuous Professional Development (CPD) guidelines. Entry Requirements There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. Workshops This is a self-study programme with unlimited tutor support. You will never be more than a message or phone call away from our tutors.
Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
Duration 3 Days 18 CPD hours This course is intended for CxO?s IT Managers/ Directors Senior Project Officers Project & Program Coordinator/Managers Operations Managers Quality Managers Business Analysts Engineering Managers IT Infrastructure Managers Internal Consultants Professional Consultants Overview Change and the individual Change and the organization Communication and stakeholder engagement Change practice Dealing with change and more importantly, the impact of change is a high priority for all organisations. The Change Management Certification has been developed by APMG in partnership with the Change Management Institute (CMI), an independent, global professional association of change managers. Together they have developed a professional ?body of knowledge? for the discipline of change management. This body of knowledge now provides an independent benchmark for the professional knowledge expected of an effective change manager. APMG?s refreshed Change Management certification is fully aligned with the change management body of knowledge. Prerequisites There is no prerequisite to attending this foundation course, although it is recommended that candidates should have a good understanding of business practices. 1 - Change and the Organization Drivers for change Developing a vision Culture and climate Emergent change and lifecycle Organizational metaphors Models of change Roles required for change 2 - Stakeholders Principles Identification Analysis Influencing and listening Emotion and demonstration Communications Cognitive biases Remaining people focused Improving Communications Communications channels Collaboration Communications Planning Larger workshops 2 - Change Impact Assessing impact McKinsey 7 S Stakeholder impact assessment Assessing change readiness Large change ? how to staff Building a change team Preparing for resistance Building team effectiveness 4 - Individual Change Learning theory Motivation Change Curve Personality differences
About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. 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
Duration 3 Days 18 CPD hours This course is intended for The intended audience for this course is information security and IT professionals, such as network administrators and engineers, IT managers, and IT auditors, and other individuals who want to learn more about information security, who are interested in learning in-depth information about information security management, who are looking for career advancement in IT security, or who are interested in earning the CISM certification. Overview Establish and maintain a framework to provide assurance that information security strategies are aligned with business objectives and consistent with applicable laws and regulations. Identify and manage information security risks to achieve business objectives. Create a program to implement the information security strategy. Implement an information security program. Oversee and direct information security activities to execute the information security program. Plan, develop, and manage capabilities to detect, respond to, and recover from information security incidents. In this course, students will establish processes to ensure that information security measures align with established business needs. Prerequisites Information security governance Information risk management Information security program development Information security program management Incident management and response 1 - Information Security Governance Develop an Information Security Strategy Align Information Security Strategy with Corporate Governance Identify Legal and Regulatory Requirements Justify Investment in Information Security Identify Drivers Affecting the Organization Obtain Senior Management Commitment to Information Security Define Roles and Responsibilities for Information Security Establish Reporting and Communication Channels 2 - Information Risk Management Implement an Information Risk Assessment Process Determine Information Asset Classification and Ownership Conduct Ongoing Threat and Vulnerability Evaluations Conduct Periodic BIAs Identify and Evaluate Risk Mitigation Strategies Integrate Risk Management into Business Life Cycle Processes Report Changes in Information Risk 3 - Information Security Program Development Develop Plans to Implement an Information Security Strategy Security Technologies and Controls Specify Information Security Program Activities Coordinate Information Security Programs with Business Assurance Functions Identify Resources Needed for Information Security Program Implementation Develop Information Security Architectures Develop Information Security Policies Develop Information Security Awareness, Training, and Education Programs Develop Supporting Documentation for Information Security Policies 4 - Information Security Program Implementation Integrate Information Security Requirements into Organizational Processes Integrate Information Security Controls into Contracts Create Information Security Program Evaluation Metrics 5 - Information Security Program Management Manage Information Security Program Resources Enforce Policy and Standards Compliance Enforce Contractual Information Security Controls Enforce Information Security During Systems Development Maintain Information Security Within an Organization Provide Information Security Advice and Guidance Provide Information Security Awareness and Training Analyze the Effectiveness of Information Security Controls Resolve Noncompliance Issues 6 - Incident Management and Response Develop an Information Security Incident Response Plan Establish an Escalation Process Develop a Communication Process Integrate an IRP Develop IRTs Test an IRP Manage Responses to Information Security Incidents Perform an Information Security Incident Investigation Conduct Post-Incident Reviews
About this Virtual Instructor Led Training (VILT) Electrical machines, mainly power transformers and electric motors are critical equipment that run production, and it must operate without any abnormalities. A wide variety of tests and standards have been developed to assist manufacturers and users of motors and transformer winding, assess the condition of the electrical insulation. The objective of this training course is to provide an understanding of power transformers and electric motors, their materials, components, and how they operate. It will also emphasize the importance of transformer life management, especially for those transformers and electric motors which have been in operation for than 10 years. The course will address in detail all aspects related to transformer principles, calculations, operation, testing and maintenance. Training Objectives This course aims to provide participants with the understanding of the fundamentals and constructional features of power transformers and electric motors, with particular reference to the design, testing, operation and maintenance of transformers in power systems. Delegates will gain a detailed appreciation of the following: Practical solutions for specifying, operating and maintaining power transformers and electric motors in a utility or plant environment Comprehensive understanding of principles, protection, maintenance and troubleshooting of power transformers and electric motors The necessary safe procedures relating to transformer operation and related circuitry Understand the principles of operation of the transformer and electric motors Identify the different features of power transformers and electric motors Appreciate the principles of transformer design, ratings, winding, core structure and materials, insulation and cooling methods, insulation and lifetime Utilize thermal limits and loading guides of transformers Analyze transformer and electric motors failure modes Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, with 1 x 10 minutes break 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. Trainer Our key expert is actively involved in electrical inspections, energy audits, energy efficiency and technical consultation for M&E activities for industrial and commercial sectors. He is involved in testing and commissioning works of factory substations of up to 132kV system. He previously worked for Jimah coal-fired power plant in Port Dickson for 9 years with his last position being Electrical Maintenance Section Head. He was involved in the commissioning of coal-fired power plant mainly with 500kV generator transformer, 934 MVA generator, and up to 33kV MV motors and switchgear panels. Our key expert has managed the maintenance team to perform routine maintenance activities (together with supporting tools such as motor lube oil analysis, infrared thermography analysis, transformer oil analysis) & electrical troubleshooting and plant outages for critical and non-critical equipment. Besides that, our key expert has published several IEEE conference papers and journals such as: (2009). Effectiveness of auxiliary system monitoring & continuous hydrogen scavenging operation on hydrogen-cooled generator at power plant. In Energy and Environment, 2009. ICEE 2009. 3rd International Conference on (pp. 151-160). IEEE. (2010). Study on electric motor mass unbalance based on vibration monitoring analysis technique. In Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on (pp. 539-542). IEEE. (2012). Re-Design of AC Excitation Busduct based on Infrared (IR) Thermography: Condition-Based Monitoring (CBM) data analysis. eMaintenance, 101. (2016). Energy Saving Studies for a University Campus: An Educational-Based Approach, 3rd International Conference on Language, Education, Humanities and Innovation 2016. 'Grid-tied photovoltaic and battery storage systems with Malaysian electrcity tariff - A review on maximum demand shaving.' Energies 10.11 (2017): 1884 'Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia.' Energies 12.18 (2019): 3531 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
About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. 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