2499 Evaluation courses in London delivered Online

Overview Without business analysis, it is unimaginable to build a profitable business. Thus, professionals with excellent skills in the analytical aspects of business are highly valued by companies. If you wish to become a part of these well-paid professionals, develop your skills with our Business Analysis Diploma course. In this course you will learn the core concepts of business analysis. The course will equip you with effective skills for needs assessment, business analysis planning, strategy analysis and much more. Further in the course, you will get the chance to acquire the key skills required for monitoring. Along with that, you will receive detailed lessons on solution evaluation.  This course is the perfect package to improve your skills. IT will also provide a CPD accredited certificate and enrich your resume. Join now! Course Preview Learning Outcomes Familiarise yourself with the significance of a business analyst Understand the fundamentals of needs assessment Develop your ability in business analysis planning, strategy analysis and stakeholder analysis Learn the core principles of traceability and monitoring Grasp the strategies of solution evaluation Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? Business analysis Needs assessment Strategy analysis Monitoring Who Should Take This Business Analysis Diploma? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Business Analysis Diploma is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Business Analysis Diploma Certification After completing and passing the Business Analysis Diploma successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path​ This exclusive Business Analysis Diploma will equip you with effective skills and abilities and help you explore career paths such as  Business Analyst Functional Analyst Project Manager Module 01: An Introduction To Business Analysis An Introductionto Business Analysis 00:46:00 Module 02: The Necessity Of A Business Analyst The Necessity of a Business Analyst 00:39:00 Module 03: Addressing Requirements Addressing Requirements 00:21:00 Module 04: Needs Assessment Needs Assessment 01:04:00 Module 05: Business Analysis Planning Business Analysis Planning 01:11:00 Module 06: Strategy Analysis Strategy Analysis 00:26:00 Module 07: Stakeholder Analysis StakeholderAnalysis 01:06:00 Module 08: Requirements Elicitation Requirements Analysis 00:45:00 Module 09: Requirements Analysis Requirements Elicitation 00:45:00 Module 10: Traceability And Monitoring Traceability and Monitoring 00:35:00 Module 11: Solution Evaluation Solution Evaluation 00:46:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 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

About this Virtual instructor Led Training (VILT)  The Subsea Production Engineering Virtual instructor Led Training (VILT) course provides an overview of all of the functionalities and key interfaces of subsea equipment. The VILT course will refer to relevant industry engineering standards for subsea equipment, subsea tie-backs and critical operational requirements. The sessions will cover challenges associated with equipment design and installability, as well as a new module on subsea tie-backs. The primary learning objectives for this VILT course are met through a combination of interactive presentations, discussion and exercises. Training Objectives By the end of this VILT course, participants will be able to: Apply the requirements of related industry standards (API 6A/ 17D, API 17A etc.) engineering standards Understand the barrier and qualification requirements Identify the barriers in place given a specific mode of operation Evaluate and select which tree alternatives are valid based on the key design drivers Identify and describe the key design drivers Explain the importance of well kill rate Describe which tree alternatives are valid for certain scenarios based on an evaluation of the key tree design requirements Examine what effects subsurface requirements may have on tree design Understand the challenges associated with designing equipment for manufacturability and installability Recognise the implications of design changes to specific components and the effects on transportation and installation (such as what type of vessels, lifting equipment, and tools to use and the logistical requirements) Recognise the implication of design changes on manufacturability of subsea equipment Target Audience This VILT course provides a comprehensive understanding of the equipment used in subsea production systems. It is designed for petroleum engineers, production engineers, subsea project engineers and is also highly suitable for cost, planning, offshore installation and offshore operations engineers. Anyone directly or indirectly involved with subsea equipment will benefit from attending this VILT course - from engineers installing the equipment to procurement staff looking to understand more. Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Most of his working life, your expert course leader has been in a role that has enabled him to pass on skills and knowledge to others. A full-time role in Training and Development came about in 1996 with the offer to take up a full-time teaching post at Aberdeen College. In 1998, he was recruited by Kvaerner Oilfield Products, an Oil & Gas industry company, specialising in Subsea Control Systems, to develop and implement a Training & Competence program acceptable for its staff of over 600 and their client companies - a challenge he could not resist. In 2003, he broadened his horizons and became an independent Training & Development consultant. Building a reputation for delivering training and development to the Oil & Gas industry to the highest standards, he later joined Jee Ltd, a leading subsea engineering and training company based in Aberdeen. He was tasked with a wide portfolio of training, coaching & mentoring to achieve high levels of competence for the client's staff and customers. He is also a Science and Engineering Ambassador (Scotland), promoting the need for engineers and technicians for Scotland's industries, a frequent consultant to the European Economic & Social Committee for standardising Vocational Skills training and competence throughout the EU. He holds memberships in the Society of Operations Engineers, Chartered Institute of Personnel & Development and Society of Underwater Technologies. 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

Obtain The Assessor's Qualification through our comprehensive teaching and assessing courses at Kleek Training. Develop the skills and knowledge needed to effectively assess learners. Enquire today!

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. 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

Note: This Offer Is Valid For the First 30 Students Only! Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training Our Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training is accredited by Focus Awards Ltd, an established Ofqual Qualification Wales-regulated Awarding Organisation, which assures your qualification is professional and recognised. This Level 3 Assessor Training Qualification is the only qualification you'll need to become a fully qualified assessor. And you'll be able to start a career either working for a college, training provider or working as a freelancer. This course is designed for people who want to gain adequate assessing competence in the work environment and understand the principles and practices of assessment in an easy way. Also, this course is for those who want to evaluate occupational competence in the workplace and vocational knowledge, abilities, and understanding in a classroom, workshop, or another training environment. Learn about the different types of assessments and how to use them, and nourish your inner assessor with this Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training Certificate in Assessing Vocational Achievement! Master the extraordinary talents of assessing vocational skills and occupational competence with our famous Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training. After completing this Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training, you'll also be able to assess learners in their place of work and learning environments. The course is designed to be studied remotely at work or at home. Hurry up and gain the qualifications you need to become a full-fledged qualified assessor. Enrol today! What You Will Learn From This Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training How to successfully observe and assess candidates in the workplace or training environment with this Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training How to collect and assess evidence of competence How to successfully carry out all assessment activities, make decisions and provide thorough feedback with this Certificate in Assessing Vocational Achievement. How to monitor and maintain records, analyse deficiencies, and lead corrective action efforts and many more. While completing your evaluation and creating and implementing assessments of occupational knowledge, abilities, and understanding, you'll get an understanding of how to conform to both legal and good practice criteria. After successfully completing your course, Focus Awards, one of the UK's fastest-growing awarding organizations, will provide you with a professionally endorsed certificate to help you further your career. You can confidently pursue more education or apply for jobs in the field. Enrol today and fulfil your student-life dream of assessing students! What other courses are included with Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training? Course 01: Education Management Course 02: Educational Psychology and Development Course 03: Advanced Teaching Assistant Diploma Course 04: Special Education Needs (SEN) Training - Level 2 Course 05: EYFS Teaching - Level 3 Course 06: Phonics Teaching Diploma Level 3 Course 07: Leadership in Teaching Course 08: Lesson Planning for Teaching Course 09: Remote Teaching Online Course 10: Classroom Behaviour Management Course 11: Performance Management Course 12: Work Area Organisation for Increased Office Productivity Course 13: Report Writing Course 14: Domestic Violence and Abuse Awareness - Level 2 Course 15: Child Neglect Awareness Certificate Course Course 16: Level 3 Mental Health and Adolescent Course Course 17: Safeguarding Children Level 3 Course 18: Functional Skills English Practice Level 2 Course 19: Train the Trainer Course 20: Leadership & Management Diploma Please look at the Resource section for the detailed curriculum of Free CPD Courses. Benefits you will get from Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training: Buy One and Get Not Two, Not Five but Twenty Premium CPD Courses for Absolutely FREE. Top-notch e-learning materials. Recognised Accredited Qualification. Unlimited access from any corner of the world. Accredited Certification. An innovative, easy-to-use learning platform. Step-by-step guidelines. 24/7 Professional student support. Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training In the Level 3 Certificate in Assessing Vocational Achievement (RQF), there are 3 compulsory modules. These are: Understanding the Principles and Practices of Assessment Assessing Occupational Competence in the Work Environment Assessing Vocational Skills, Knowledge and Understanding. The Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training Training aims to improve the potential of the students to: Understand the primary roles and duties of a qualified assessor. Monitor and evaluate candidates professionally at work or in training settings. Collect and assess the evidence of expertise. Conduct evaluation tasks effectively, make assessments and offer detailed feedback. Examine occupational competencies across a wide range of qualifications. Learn how to evaluate vocational and training skills using a variety of assessment tools and methods. Get familiar with the main concepts and mechanisms underlying the assessment strategies. The Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training Training is designed to develop the students' ability to: Understand the key role and responsibilities of an assessor Successfully observe and assess candidates in the workplace or training environment Plan, allocate and inspect work in their individual area of responsibility Collect and assess evidence of competence Successfully carry out all assessment activities, make decisions and provide thorough feedback Assess vocational competencies in a variety of qualifications Gain the skills and knowledge to assess vocational and training abilities using a range of assessment methods Understand the key principles and processes of assessment strategies Become successful in their chosen field as well as in their chosen career path Monitor and maintain records, analyse deficiencies, and lead corrective action efforts Qualification Purpose of This Level 3 Assessor Training Qualification - CAVA These qualifications equip students with the opportunity of improving their skills, knowledge and comprehension to take on the role of a professional assessor. This certification is designed for those who evaluate occupational competence in the workplace as well as vocational abilities, experience, and comprehension in a workshop, classroom, or any other training environment. All of the assessment measures mentioned in the units must be supported by evidence. Progression of Level 3 Assessor Training Qualification - CAVA After successful completion of the Level 3 Assessor Training Qualification - CAVA or A1 Assessor Training, learners can advance with the newly gained skills and knowledge from this complete learning package, as well as be eligible for further qualifications Total Qualification Time of Level 3 Assessor Training Qualification - CAVA This is an estimation of the overall amount of time a student is normally supposed to take to reach and show the required level of achievement to obtain the certification and. all learning outcomes. Total Qualification Time (TQT) is composed of GLH and an estimation of how many hours a learner is expected to spend on training, study, or some other learning form, including evaluation, that is led by but not supervised by an instructor, supervisor, or tutor. TQT determines the creditworthiness of qualification if one is granted since one credit equals 10 hours of study. Total Qualification Time for this qualification is 150 hours. Guided Learning Hours of Level 3 Assessor Training Qualification - CAVA These hours include all real-time contact time with a learner, as well as any guidance or oversight provided by an instructor, educator, or other suitable education or training provider. GLH for this qualification is 84 hours. Method of Assessment of this Level 3 Assessor Training Qualification - CAVA: CAVA Unit One: In Unit 1, a number of writing assignments has to be submitted. CAVA Unit Two: In Unit 2, an assessment needs to be done in the workplace to evaluate learner's work, professional discussions with audio-video evidence. CAVA Unit Three: In Unit 3, after evaluating learners in a training setting, you have to be assessed by giving your work items with audio-video evidence. Video Assessment: Proof of supported work product must be prepared for 15-30 minutes, including observation, questioning/professional discussions and inspection. In the 'Guidance for Achieving the Unit' section of your learning portal, you will find detailed assessment guidelines. Assessment exercises consist of completing a few short assignments. You are expected to demonstrate proof of general reading and to include references in your work. All assignments should be submitted via the online portal. Who is this course for? Level 3 Assessor Training Qualification - CAVA Anyone who wants to assess learners in both classroom and work environment, ideally a Teacher or Assessor who wants to work in a college. Requirements Level 3 Assessor Training Qualification - CAVA The learner must be of the age of 18 and above The learner must have level 2 skills pf English or numeracy Career path Level 3 Certificate in Assessing Vocational Achievement CAVA (A1) Assessors this level 3 Certificate in Assessing Vocational Achievement CAVA (A1) Assessors will prepare you to evaluate occupational competency and vocational skills in a variety of qualifications.

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is anyone who works in and around IT, facilities or data centre operations and needs to understand and improve the daily operations including important processes such as lock-out/tag-out, the right process for installing/de-installing equipment, safety procedures, capacity management and much more. Overview The old believe that a fully redundant data centre facility will save the day is no longer true as many research outcomes have revealed that the majority of downtime is caused by the human factor. Policies, processes, procedures and work instructions should be carefully developed, ideally following relevant standards, to ensure an effcient and effective data centre operations which are also compliant to the required regulations. The CDFOS© (Certified Data Centre Facilities Operations Specialist) course is a three-day course which will enable participants to fully understand the requirements of running the day-to-day operations of a mission critical data centre. Participants will gain all the required competences for running the daily operations, understand which processes should be in place, and the critical elements of those processes and how to execute them. The course is fully aligned with the DCOS© (Data Centre Operations Standard). Data centre facilities operations management have proven to be the key differentiator between a data centre that is performing well or badly. Service Level Management Service Level Management Needs analysis Capability assessment Service portfolio and catalogue Service Level Agreements Reporting - Complaint procedure Customer satisfaction Service Improvement Process (SIP) Safety and Crisis Management Most common type of accidents and why they often happen The roles and responsibilities of appointed safety staff The importance of the OH&S or WHS manual Calibration of measurement and test equipment Proper lock-out/tag-out procedures Emergency response plan requirement for various potential emergencies The importance of Permit To Work Physical Security Standard Operating Procedures (SOP) for security Security risk assessment Security zones Physical inspections / security patrols Delivery of goods / holding area Entry control of individuals Badges and key management Security monitoring Security incident reporting Facilities Maintenance The importance of maintenance Maintenance definitions Maintenance operations procedures (MOP) Service reports Spare management Tools Housekeeping Data Centre Operations Shift handover Walk around duties Service management Release management Configuration management Floor management Equipment life cycle management Monitoring/Reporting/Control Monitoring requirements Facilities monitoring matrix Sensor / alarm point testing and calibration Notification matrix Escalation requirements Reporting Project Management Project management Project organization Project manager Initiation Planning Execution Monitor and control Closing Evaluation / lessons learnt Environmental Sustainability The importance of sustainability Environmental standards Power efficiency indicators Energy saving best practises Water management Sustainable energy usage Governance and Compliance The importance of document management The siz sub-processes of document management Asset management Requirements or asset recording Exam: Certified Data Centre Facilities Operations Specialist (CDFOS©) Certification exams are administered at the end of the course. The exam is a 90-minute closed book exam, with 60 multiple-choice questions. The candidate requires a minimum of 42 correct answers to pass the exam. Online exam results are known immediately and paper-based exam results will be known within one week. Additional course details: Nexus Humans Certified Data Centre Facilities Operations Specialist (CDFOS) 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 Certified Data Centre Facilities Operations Specialist (CDFOS) 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.

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Project Management Fundamentals - Japanese: On-Demand Many projects are run by highly qualified, talented people with little or no training in project management. They carry out projects such as process improvement, marketing campaign development, new product development, event planning and production, as if they were "work". Project Management Fundamentals (PMF) was created to help those who need a solid foundation in project management to learn on the job without undue burden. is. This course provides practical skills, concepts and principles that you can take back to the workplace, and the insight you need to adapt them to your specific project environment. PMF's course goal is to achieve quality performance by learning effective planning and control, so it emphasizes process-oriented and analytical, systems-oriented approaches. These frameworks promote the project-related problem-solving and decision-making skills needed in real-world projects. We also focus on the collaboration, clear person-to-person communication, interpersonal and interpersonal skills required for the project. These needs are recognized throughout PMF, but are highlighted in two areas: Module 2 - People and Projects Module 8 - Execution, Communication and Team Development What You Will Learn By the end of this course, you should be able to: Explain the value of strong project management Identify the characteristics of successful projects and project managers Recognize how current agile/adaptive practices fit into project management Learn project management processes such as initiation, planning, execution, monitoring and control, and closing Leverage project management processes and tools based on case studies and real-world situations Create initial project plan Using standard project management terminology Basic Concepts Project management and its definition PM value and key points Competing Constraints and Project Success Project life cycle People and Projects Overview of people and projects Project manager Project team people and projects in the organization Module 3 - Initiation and Requirements Definition Project launch Formulation of project charter Conducting stakeholder evaluations Requirements definition Using the Work Breakdown Structure Define Work Breakdown Structure (WBS) Development of usable WBS Utilization of WBS Project Risk Management Need for risk management Overview of risk-aware planning Identification of risks Risk analysis Risk response plan Implementing countermeasures and monitoring risks Environmental considerations that require adaptability Quotation Quote definition Quotation approach How to estimate cost estimate Quotation Validation Scheduling Definition of the scheduling process and related terms Defining sequences and dependencies Determining the critical path Examination of schedule risk and optimization of schedule Execution, Communication and Team Development From baseline to execution Project communication and stakeholder relationships high performance team Monitoring and Control Definition of monitoring and control See control through the lens of competing demands Variance analysis and corrective action (earned value) Adaptive environment considerations Project Closure Closing the project Focus on project migration Focus on post-project evaluation

Project Management Fundamentals - Japanese: On-Demand Many projects are run by highly qualified, talented people with little or no training in project management. They carry out projects such as process improvement, marketing campaign development, new product development, event planning and production, as if they were "work". Project Management Fundamentals (PMF) was created to help those who need a solid foundation in project management to learn on the job without undue burden. is. This course provides practical skills, concepts and principles that you can take back to the workplace, and the insight you need to adapt them to your specific project environment. PMF's course goal is to achieve quality performance by learning effective planning and control, so it emphasizes process-oriented and analytical, systems-oriented approaches. These frameworks promote the project-related problem-solving and decision-making skills needed in real-world projects. We also focus on the collaboration, clear person-to-person communication, interpersonal and interpersonal skills required for the project. These needs are recognized throughout PMF, but are highlighted in two areas: Module 2 - People and Projects Module 8 - Execution, Communication and Team Development What You Will Learn By the end of this course, you should be able to: Explain the value of strong project management Identify the characteristics of successful projects and project managers Recognize how current agile/adaptive practices fit into project management Learn project management processes such as initiation, planning, execution, monitoring and control, and closing Leverage project management processes and tools based on case studies and real-world situations Create initial project plan Using standard project management terminology Basic Concepts Project management and its definition PM value and key points Competing Constraints and Project Success Project life cycle People and Projects Overview of people and projects Project manager Project team people and projects in the organization Module 3 - Initiation and Requirements Definition Project launch Formulation of project charter Conducting stakeholder evaluations Requirements definition Using the Work Breakdown Structure Define Work Breakdown Structure (WBS) Development of usable WBS Utilization of WBS Project Risk Management Need for risk management Overview of risk-aware planning Identification of risks Risk analysis Risk response plan Implementing countermeasures and monitoring risks Environmental considerations that require adaptability Quotation Quote definition Quotation approach How to estimate cost estimate Quotation Validation Scheduling Definition of the scheduling process and related terms Defining sequences and dependencies Determining the critical path Examination of schedule risk and optimization of schedule Execution, Communication and Team Development From baseline to execution Project communication and stakeholder relationships high performance team Monitoring and Control Definition of monitoring and control See control through the lens of competing demands Variance analysis and corrective action (earned value) Adaptive environment considerations Project Closure Closing the project Focus on project migration Focus on post-project evaluation