1217 Model courses delivered Live Online

Inclusion Facilitation (IF) is an approach to enhancing the inclusion, in a mainstream community of any child or young person who is experiencing difficulties in the world because of disability, personal crisis or because of their challenging behaviour towards others. The IF approach works by mobilising the young person’s natural supports to provide support and engage with the person in difficulty. Inclusion Facilitation is designed to create a better life for an individual by the provision of an intense input designed to being about social change. This usually entails a series of visits focused on getting the person out and about to increase confidence, social skills and presence in their local community and to pursue goals and dreams. Uniquely, the work is carried out under the close clinical supervision of a practicing psychologist. What is Inclusion Facilitation Work? ‘We do whatever it takes!’ Usually a Person Centred Planning event would be carried out using the PATHor MAP process – majoring on dreams and goal setting leading to precise action planning.  An experienced psychologist alongside the inclusion facilitator would carry out a PATH. A large graphic will be one of the outcomes of the meetings this is a great visual record and a shared memory of the event. This will also inform the priorities for the inclusion facilitation work Optionally following the PATH event a ‘scoping report’ is created outlining what Inclusion Facilitation could offer and highlighting what dreams and goals the individual has. The PATH is also provides a good opportunity for the Facilitator to meet the focus person in a comfortable positive environment. 12 weekly visits from the Inclusion Facilitator followed by 5 monthly visits is our preferred model but we can be flexible with the delivery of this input. This is just a guideline, however we have received good results using this time frame. After this intensive input the Inclusion Facilitator will hand over to the existing family, carers and PA team to carry on where he or she has left off. This transition time is planned from the outset. An experienced psychologist is there to support the facilitator at all times and will guide all work done by the inclusion facilitator.  Is this just Support work? No! This is proactive engagement – doing whatever is required. We are not just passively or reactively providing what is asked for – we are actively pursuing a good life for the individual. Our work is built on careful research around a person’s interests and what opportunities exist locally. We carry out community mapping.  We actively work to tackle an individual’s own resistance and reluctance to engage more socially. We actively engage with people in social settings that the individual attends to build bridges and connections – we are bridge builders. We build circles around a person. We create the conditions in which friendships can flourish. We have direct psychological supervision and support throughout. This work is short term and intense. Enjoy participating in a multimedia workshop that will challenge, entertain and reach for your emotions. Learning Objectives 1.To be able to understand the values and wider context of inclusion. 2.To be able to set up and run an ‘Inclusion Facilitation project to improve the life chances and connections of a child or young person. 3.To understand and be able to maximise the power of the peer group in supporting relationships, achievement and behaviour. Course Content The course answers the questions: What do you do with the child who is isolated by their aggression and anger, through being different, disabled or new to the school or community? Practically how do we go about including high profile children or young people? How can we help some children be friends? We will cover:  Inclusion values underpinning this work The Intentional Building of Relationships –‘Inclusion Facilitation’ work as an example Not doing it alone – The Importance of Teams in developing inclusive practice Practical setting up and running of IF work Lessons learned Stories of IF work

Duration 2 Days 12 CPD hours This course is intended for This course is intended for SQL professionals, Microsoft Analysis Services cube and report developers, and business intelligence professionals. Overview ?Understand common Analysis Services solutions.?Understand version changes of SSAS from 2008-2014.?Understand Analysis Services installation and architecture.?Understand how to choose the right model.?Understand the Analysis Services tools available.?Understand the multidimensional model.?Utilize data sources and data source views.?Create a cube.?Understand and utilize dimensions.?Understand and utilize attributes.?Understand and utilize relationships.?Understand and utilize hierarchies.?Understand and utilize measures and measure groups.?Understand and utilize calculated members.?Understand and utilize perspectives.?Understand and utilize translations.?Browse perspectives and translations.?Understand and utilize deployment options.?Understand and utilize processing strategies.?Understand and utilize security.?Deploy a multidimensional model.?Understand the tabular model.?Create a tabular project.?Analyze the data using Microsoft Excel.?Create and configure calculated measures and calculated fields.?Backup and Restore. This course is intended for IT professionals who are interested in quickly learning how to utilize an Analysis Services multidimensional or tabular solution. Course Overview Introduction Course Materials Facilities Prerequisites What We'll Be Discussing Lab 1: Course Overview Introduction to Microsoft SQL Server Analysis Services Common Analysis Services Solutions Version Changes of SSAS from 2008-2014 Analysis Services Installation and Architecture: One Product, Two Models Choosing the Right Model Analysis Services Tools Lab 1: Introduction to Microsoft SQL Server Analysis Services The Multidimensional Solution Understanding the Multidimensional Model Utilizing Data Sources and Data Source Views Creating a Cube Lab 1: The Multidimensional Solution Dissecting with Dimensions Developing Dimensions Utilizing Attributes Relating with Relationships Handling Hierarchies Lab 1: Dissecting with Dimensions Managing Measures Measures and Measure Groups Calculated Members Lab 1: Managing Measures Configuring Cube Options Understanding Perspectives Utilizing Translations Browsing Perspectives and Translations Lab 1: Configuring Cube Options Deploying Examining Deployment Options Processing Strategies Exploring Security Lab 1: Deploying The Tabular Solution Understanding the Tabular Model Creating a Tabular Project Deploying Browsing the Model Querying the Solution and Understanding DAX Maintaining and Optimizing Lab 1: The Tabular Solution

Resilience is the ability to take the challenges and changes of life in your stride and say yes to the opportunities that excite you.

Why Choose Rhino Introduction to Intermediate Training Course? Learn: 3D NURBS models. Master: Surfacing modeling. Interface: Rhino's navigation. Rendering Skills: Enhance presentations with Rhino renderings. Check our Website Flexible Scheduling: 1-on-1 training sessions according to your convenience. Choose any hour between 9 a.m. and 7 p.m., Mon to Sat. You can call us at 02077202581 to book over the phone. Duration: 10 hours. Methods: Personalized training either in-person, or live online. Introduction and Navigation Become acquainted with Rhino's interface, menus, and screen layout. Efficiently traverse through Rhino models, ensuring precision in 2D lines, polylines, and NURBS curves. Utilize modeling setup features, incorporating constraints like snap, ortho, and planar for accuracy. Leverage object snaps and Smart Track functionality to enhance precision. Solid and Surface Modeling Develop rapid 3D solids and surfaces, employing Rhino's organized layering system. Utilize coordinates and constraints for meticulous modeling, exploring 3D space and elevations. Create diverse shapes, such as rectangles, circles, arcs, ellipses, and polygon curves. Elevate models with Rhino render and render color, incorporating free-form curves, helix, and spiral curves. Efficiently handle model views with pan, zoom, and view management tools. Implement various editing commands for curve manipulation and transform curves into surfaces and solids. Utilize history tracking for advanced editing and execute general editing actions: move, copy, rotate, mirror, and scale. Create arrays with both polar and rectangular arrangements and employ boolean operations like union, difference, and intersection. Offset curves and surfaces effectively, ensuring meticulous detailing. Intermediate Edit and Surfacing Introduce key NURBS modeling concepts and terminologies. Edit curves and surfaces via control point manipulation and rebuild them for optimal refinement. Employ the nudge modeling aid for precise adjustments and generate deformable shapes. Create curves through projection techniques and split surfaces using curves and surfaces. Blend surfaces seamlessly, utilizing symmetry tools, lighting, and rendering effects. Convert intricate 3D objects into detailed 2D drawings, expertly crafting page layouts. Advanced Surfacing and Solid Modeling Construct model primitives and solid text, employing techniques such as pipe and extrusion. Modify solids efficiently using Boolean tools, expanding your surface modeling capabilities. Employ techniques like extrusion, lofting, and revolving for intricate surfaces. Create sweeps using 1 and 2 rail curves, mastering surface network techniques for complex shapes. Upon completion, you will: Master Rhino Tools: Navigate interfaces, utilize advanced tools for precise modeling, and employ features like object snaps and Smart Track. Expert Solid and Surface Modeling: Develop intricate 3D solids and surfaces, create diverse shapes, and use Rhino render effectively. Advanced Editing Skills: Apply intermediate and advanced editing techniques, including symmetry tools and realistic rendering. Precision Modeling: Utilize coordinates, constraints, and advanced aids for accurate detailing and problem-solving. Professional Project Execution: Create high-quality renderings, 2D drawings, and polished 3D models for real-world design scenarios. Upon completion, you'll be adept at 3D modeling, product design, and architecture, positioning you as a valuable asset in the design industry. Why Choose Our Rhino Courses? Rhino, also known as Rhinoceros, stands as a robust 3D computer graphics and computer-aided design software, utilized extensively in domains like architecture, industrial design, and multimedia. Our Rhino courses are meticulously crafted to empower you in mastering this software. Led by seasoned instructors, our courses provide a comprehensive understanding of Rhino, enabling you to create exceptional designs. Rhino 3D Training: Our Rhino 3D training caters to beginners and those seeking advanced techniques. Course Highlights: Precise 3D Modeling: Master free-form 3D NURBS models with precision. Advanced Functionality: Explore Rhino's features, including advanced surfacing commands. User Interface Mastery: Navigate Rhino's interface and hone skills in curves, surfaces, and solids. Expert Guidance: Acquire expertise in Rhino's modeling environment under expert guidance. Modeling Techniques: Learn free-form and precision modeling techniques. Modeling Aids: Utilize tools for accurate modeling and create basic Rhino renderings. Benefits of our Courses: Expert Guidance: Receive instruction from experienced architects and designers, providing practical, real-world insights for comprehensive learning. Comprehensive Resources: Access bespoke video tutorials for additional learning and reference, enhancing your understanding of the course materials. Digital Reference Material: Receive a digital reference book to support your revision efforts, providing a comprehensive resource for your studies. Ongoing Support: Enjoy free after-support through phone or email even after course completion, ensuring continuous assistance and guidance. Tailored Learning Experience: Customize your learning journey by adapting the syllabus and projects to align with your specific needs and interests, fostering a personalized educational experience. Certificate: Upon completion, earn a certificate from us, validating your achievement and recognizing your expertise in the field.

Vectorworks One to One Fast Track Course Master Vectorworks in Just One Day (10 Hours)

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: A technical audience at an intermediate level Overview Using Amazon SageMaker, this course teaches you how to: Prepare a dataset for training. Train and evaluate a machine learning model. Automatically tune a machine learning model. Prepare a machine learning model for production. Think critically about machine learning model results In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment. Day 1 Business problem: Churn prediction Load and display the dataset Assess features and determine which Amazon SageMaker algorithm to use Use Amazon Sagemaker to train, evaluate, and automatically tune the model Deploy the model Assess relative cost of errors Additional course details: Nexus Humans Practical Data Science with Amazon SageMaker 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 Practical Data Science with Amazon SageMaker course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS 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 The Machine Learning Pipeline on AWS 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.

Learn how to create a supportive and open environment for mental health and wellbeing at work, helping everyone thrive and perform at their best.

About this Virtual Instructor Led Training (VILT)  The Advanced Reservoir Engineering VILT course will address modern practical aspects of reservoir engineering during 5 half-days packed with lectures, virtual exercises, discussions and literature reviews. The participants' understanding of fundamental concepts and modern practical reservoir engineering methods will be deepened and a wide range of topics will be addressed. Topics covered The VILT course will emphasise reservoir engineering applications and include topics such as: Rock properties of clastic and carbonate reservoirs Reservoir characterisation Reservoir fluid behaviour Identification of main production mechanisms Design and analysis of well tests Production forecasting Application of Decline Curve Analysis in mature fields Detailed modeling of wells and reservoirs Water flooding Application of EOR methods Reserves and resource estimation Reservoir simulation approaches, model construction and well, aquifer and fluid modelling Development planning Uncertainty handling and scenario methods Depending on the background and requirements of the participants, some topics may be given more emphasis.   Training Objectives In this VILT course, reservoir engineering methods will be addressed which are of use in the daily reservoir engineering practice. The focus will be on practical applicability. Use is made of practical and actual reservoir engineering problems and examples to illustrate relevant subjects. By attending this VILT course, participants will have a deeper knowledge of modern reservoir engineering practices for reservoir development and production, including the construction and use of reservoir models. Target Audience The VILT course is intended for experienced reservoir engineers with prior technical or engineering exposure to production activities. Petroleum engineers and geoscientists who require more than general knowledge of reservoir engineering will also find this course useful. Participants are invited but not obliged to bring a short presentation (max of 15 minutes) on a practical problem they encountered in their work. This will then be explained and discussed in the VILT class. A short test or quiz will be held at the end the VILT course. Training Methods This VILT course will be delivered online over 5 half-days. There will be 2 blocks of two hours per day, including lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be required. Two breaks of 10 minutes will be provided each day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your course leader is an independent Reservoir Engineering Consultant. He provides project consultancy, quality assurance and reservoir engineering training for major oil companies, governments, engineering firms and other global customers. Before he retired from Shell in 2012, he held positions as Senior Reserves Consultant for the Middle East and Reservoir Engineering Discipline Lead. He is a petroleum engineering professional, with global experience, mostly in Shell companies and joint ventures (NAM, SSB, SCL, PDO, SKDBV). He has been involved in reserves and resource management, has extensive reservoir modelling and reservoir simulation expertise, and wide experience in the design and delivery of training programmes for employee development. PROFESSIONAL EXPERIENCE 2012 - 2016 Independent Reservoir Engineering Consultant Project consultancy, quality assurance and reservoir engineering training for major oil companies, governments, engineering firms and other global customers. Delivering specialised and general Reservoir Engineering courses to a multitude of international companies. 2008 - 2012 Shell International E&P, the Hague, the Netherlands Senior Reserves Consultant for the Middle East Region Assurance of SEC and SPE compliance of reserves and resources in Shell Middle East region. Contributor to the 2012 SPE guidelines on reserves and resources assessment. 2006 - 2008 Shell E&P Technology Solutions, Rijswijk, the Netherlands Reservoir Engineering Discipline Lead Responsible for QA/QC of Reservoir Engineering in global E&P projects as well as for staff development. (over 60 international Reservoir Engineers) 2001 - 2005 Centre for Carbonate Studies, SQU, Oman / Shell International E&P Technology Applications and Research /Shell Representative Office Oman Petroleum Engineering Manager PE manager in the Carbonate Research centre, at Sultan Qaboos University in Oman. Industrial research projects and support to teaching on recovery aspects of carbonate reservoir development. Design and delivery of industrial courses on carbonate reservoirs 1997- 2000 Shell International E&P, Rijswijk, the Netherlands Principal Reservoir engineer. Acting Shell Group Reserves Co-ordinator in 1997-1998. Facilitation of workshops with government shareholders, including discussions on sensitive reserves issues (BSP Petroleum Unit Brunei, PDO Oman, SPDC government Nigeria). Co-ordination of the NOV subsurface team in Shell Kazakhstan Development BV in 2000. Leading role in Shell Gamechanger project on natural gas hydrates. 1992- 1996 Shell Training Centre, Noordwijkerhout, the Netherlands Reservoir Engineering Programme Training Director Directed Shell Group Reservoir Engineering Training. Introduced advanced PE training events, QA/QC and learning transfer measures, Design and delivery of reservoir engineering and multidiscipline courses to Shell staff from a wide range of nationalities. 1985- 1992 Shell International, SIPM, the Hague, The Netherlands Senior Reservoir Engineer Full field reservoir simulation projects supporting Field Development Plans, operational strategies and unitisation negotiations for Shell Group Operating Companies in the United Kingdom, New Zealand and Egypt. Major contributor to the Shell internal Gas Field Planning Tool development. 1984- 1985 Geological Survey of the Netherlands (RGD), Ministry of Economic Affairs Reservoir Engineering Section Head Responsible for Petroleum Engineering advice on oil and gas licences to the Ministry of Economic Affairs. First-hand experience with a government view on resource management. 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

  European Data Protection   Principles of Data Protection in Europe covers the essential pan-European and national data protection laws, as well as industry-standard best practices for corporate compliance with these laws. Those taking this course will gain an understanding of the European model for privacy enforcement, key privacy terminology and practical concepts concerning the protection of personal data and trans-border data flows.   The training is based on the body of knowledge for the IAPP's ANSI-accredited Certified Information Privacy Professional/Europe (CIPP/E) certification program. Privacy Programme Management   Principles of Privacy Management is the how-to training on implementing a privacy program framework, managing the privacy program operational lifecycle and structuring a knowledgeable, high-performing privacy team. Those taking this course will learn the skills to manage privacy in an organisation through process and technology-regardless of jurisdiction or industry.   The Principles of Privacy Program Management training is based on the body of knowledge for the IAPP's ANSI-accredited Certified Information Privacy Manager (CIPM) certification programme. Make a difference in your organization and in your career. The CIPM designation says that you're a leader in privacy program administration and that you've got the goods to establish, maintain and manage a privacy program across all stages of its lifecycle.  About This Course   Delivered in a modular format, this four day course covers   Days 1 & 2   Module 1: Data Protection Laws Introduces key European data protection laws and regulatory bodies, describing the evolution toward a Harmonised European Legislative Framework.  Module 2: Personal Data Defines and differentiates between types of data-including personal, anonymous, pseudo-anonymous and special categories.  Module 3: Controllers and Processors Describes the roles and relationships of controllers and processors.  Module 4: Processing Personal Data Defines data processing and GDPR processing principles, Explains the application of the GDPR and outlines the legitimate bases for processing personal data. Module 5: Information provision Explains controller obligations for providing information about data processing activities to data subjects and Supervisory Authorities.  Module 6: Data Subjects 'Rights Describes data subjects' rights, applications of rights and obligations controller and processor.  Module 7: Security or Processing Discusses considerations and duties of controllers and processors for Ensuring security of personal data and providing notification of data breaches.  Module 8: Accountability Investigates accountability requirements, data protection management systems, data protection impact assessments, privacy policies and the role of the data protection officer.  Module 9: International Data Transfers Outlines options and obligations for transferring data outside the European Economic Area, Decisions adequacy and appropriateness safeguards and derogations.  Module 10: Supervision and Enforcement Describes the role, powers and procedures or Supervisory Authorities; the composition and tasks of the European Data Protection Board; the role of the European Data Protection Supervisor; and remedies, liabilities and penalties for non-compliance.  Module 11: Compliance Discusses the applications of European data protection law, legal bases and compliance requirements for processing personal data in practice, employers-including processing employee data, surveillance, direct marketing, Internet technology and communications and outsourcing.    Days 3 & 4   Module 1: Introduction to privacy program management Identifies privacy program management responsibilities, and describes the role of accountability in privacy program management.  Module 2: Privacy governance Examines considerations for developing and implementing a privacy program, including the position of the privacy function within the organization, role of the DPO, program scope and charter, privacy strategy, support and ongoing involvement of key functions and privacy frameworks.  Module 3: Applicable laws and regulations Discusses the regulatory environment, common elements across jurisdictions and strategies for aligning compliance with organizational strategy.  Module 4: Data assessments Relates practical processes for creating and using data inventories/maps, gap analyses, privacy assessments, privacy impact assessments/data protection impact assessments and vendor assessments.  Module 5: Policies Describes common types of privacy-related policies, outlines components and offers strategies for implementation.  Module 6: Data subject rights Discusses operational considerations for communicating and ensuring data subject rights, including privacy notice, choice and consent, access and rectification, data portability, and erasure and the right to be forgotten.  Module 7: Training and awareness Outlines strategies for developing and implementing privacy training and awareness programs.  Module 8: Protecting personal information Examines a holistic approach to protecting personal information through privacy by design.  Module 9: Data breach incident plans Provides guidance on planning for and responding to a data security incident or breach.  Module 10: Measuring, monitoring and auditing program performance Relates common practices for monitoring, measuring, analyzing and auditing privacy program performance Prerequisites   There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP SITE What's Included?   1 years membership of the IAPP Breakfast, Lunch, mid-morning and afternoon snacks, teas, coffees Official Study Guides* Official Participant Guides* Official Exam Q&A's* Both exam fees * In electronic format for Live Online and hard copy for Classroom delegates     Who Should Attend?   This course is suitable for aspiring Data Protection Officers, as well as Information Security Managers, Lawyers, Data Managers, Analysts and Risk Teams. Provided by Our Guarantee   We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.