10342 Concept courses in Nottingham delivered Online

Duration 2 Days 12 CPD hours This course is intended for The COBIT 2019 Foundation course would suit candidates working in the following IT professions or areas: IT Auditors IT Managers IT Quality professionals IT Leadership IT Developers Process practitioners Managers in IT service providing firms The above list is a suggestion only; individuals may wish to attend based on their own career aspirations, personal goals or objectives. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview This COBIT 2019 Foundation course is designed as an introduction to COBIT 2019 and enables you to understand how an integrated business framework for the governance and management of enterprise IT can be utilized to achieve IT business integration, cost reductions and increased productivity. The syllabus areas that this course is designed to cover are: New framework introduction Key concepts and terminology Governance and Framework Principles Governance system and components Governance and management objectives Performance management Designing a tailored governance system COBIT 2019 builds on and integrates more than 25 years of development in this field, not only incorporating new insights from science, but also operationalizing these insights as practice. The heart of the COBIT framework updates COBIT principles while laying out the structure of the overall framework including: New concepts are introduced and terminology is explained?the COBIT Core Model and its 40 governance and management objectives provide the platform for establishing your governance program. The performance management system is updated and allows the flexibility to use maturity measurements as well as capability measurements. Introductions to design factors and focus areas offer additional practical guidance on flexible adoption of COBIT 2019, whether for specific projects or full implementation. From its foundation in the IT audit community, COBIT has developed into a broader and more comprehensive information and technology (I&T) governance and management framework and continues to establish itself as a generally accepted framework for I&T governance. 1 - COBIT 5 OVERVIEW AND INTRODUCTION Course Administration Course Objectives Exam Overview Certification Scheme History of COBIT COBIT 2019 Improvements Major differences with 2019 Misconceptions about COBIT COBIT and Other Standards 2 - KEY CONCEPTS AND TERMINOLOGY Introduction to Enterprise Governance of Information and Technology Benefits of Information and Technology Governance COBIT Information and Technology Governance Framework Distinction of Governance and Management Three Principles of a Governance Framework Six Principles for a Governance System 3 - GOVERNANCE SYSTEMS AND COMPONENTS Introduction to the Components of a Governance System Processes and Capability Levels Organizational Structures and Defined Roles Information Flows and Items People, Skills and Competencies Principles, Policies and Frameworks Culture, Ethics and Behavior Services, Infrastructure and Applications 4 - GOVERNANCE MANAGEMENT OBJECTIVES Governance and Management Objectives Publication Governance and Management Objectives Governance and Management Objectives Core Model Evaluate, Direct and Monitor Align, Plan and Organize Build, Acquire and Implement Deliver, Service and Support Monitor, Evaluate and Assess 5 - GOALS CASCADE Governance and Management Objective Relationships Governance and Management Objective Descriptions High-Level Information Example Introduction to the Goals Cascade Enterprise Goals Alignment Goals Mapping Tables ? Appendix A 6 - PERFORMANCE MANAGEMENT Introduction to Performance Management COBIT Performance Management Principles COBIT Performance Management (CPM) Overview Process Capability Levels Rating Process Activities Focus Area Maturity Levels Performance Management of Organizational Structures Performance Management of Information Items Performance Management of Culture and Behavior 7 - DESIGNING A TAILORED GOVERNANCE SYSTEM The Need for Tailoring Design Factors Enterprise Strategy Enterprise Goals Risk Profile I&T Related Issues Threat Landscape Compliance Requirements Role of IT Sourcing Model for IT IT Implementation Methods Technology Adoption Strategy Enterprise Size Focus Areas Designing a Tailored Governance System Management Objective Priority and Target Capability Levels Component Variations Specific Focus Areas Stages and Steps in the Design Process 8 - IMPLEMENTING ENTERPRISE GOVERNANCE OF IT The Business Case The COBIT Implementation Guide Purpose COBIT Implementation Approach Phase 1 ? What are the Drivers Phase 2 ? Where are we Now Phase 3 ? Where do we Want to be Phase 4 ? What Needs to be Done Phase 5 ? How do we get There Phase 6 ? Did we get There Phase 7 How do we Weep the Momentum Going? EGIT Implementation Program Challenges

Why Learn Revit V-Ray 3ds Max Visualization Training Course? Revit is perfect for architecture, and 3ds Max, with V-Ray rendering, offers super results. Autodesk Revit Interoperability integrates Revit and 3ds Max seamlessly, combining metadata, materials, and lighting. Architects and designers using 3ds Max tools for architectural designs. Check our Website Booking: 1-on-1 Duration: You can split these 40 hours over as many days, Mon to Sat between 9 am to 7 pm, or call 02077202581 to book In-person or Live Online Module 1: Revit Fundamentals (16 hours) Introduction to Revit: Acquaint yourself with Revit's essential concepts and tools. Interface and Workspace: Navigate Revit's interface and workspace seamlessly. Building Information Modeling (BIM) Workflow: Grasp the fundamental BIM workflow principles for effective modeling. Basic Building Model Creation: Learn to craft a foundational building model using Revit. Basic Modeling Techniques: Master elements like walls, doors, windows, floors, roofs, stairs, and railings. Advanced Revit Modeling: Dive into advanced topics, including family creation and working with intricate geometries. Annotation and Documentation: Enhance your projects with text, dimensions, schedules, and efficient printing/exporting methods. Module 2: 3ds Max Mastery (16 hours) Introduction to 3ds Max: Familiarize yourself with the core aspects and interface of 3ds Max. 3D Modeling Workflow: Understand the intricacies of creating basic 3D models in 3ds Max. Basic 3D Modeling Techniques: Work with primitive shapes, splines, and create complex 3D models. Materials and Textures: Explore the material editor, apply materials, and craft realistic textures. Lighting and Cameras: Learn to illuminate scenes, utilize the daylight system, and optimize camera angles. Module 3: V-Ray Rendering Proficiency (8 hours) Introduction to V-Ray: Grasp the fundamentals of V-Ray, including its interface and workflow. V-Ray Materials and Textures: Understand the intricacies of V-Ray materials and textures for lifelike renderings. Basic Rendering Techniques: Dive into essential rendering techniques, including lighting adjustments and global illumination. Advanced Rendering Methods: Explore advanced techniques to elevate the quality of your renders. Gain expertise in Revit, 3ds Max, and V-Ray through our comprehensive training, mastering the core concepts and advanced techniques necessary for stunning architectural visualizations.   Upon completing the course, you will: Master Architectural Modeling: Proficiently create intricate architectural models using Revit and 3ds Max. Visualize Realistically: Utilize advanced rendering techniques in V-Ray for lifelike visualizations with realistic lighting and materials. Efficient Documentation: Learn annotation and documentation skills for clear and effective project communication. Enhance Collaboration: Understand file interoperability for seamless collaboration with diverse software platforms. Build a Professional Portfolio: Create a diverse portfolio showcasing your skills in architectural visualization. Career Opportunities: Upon completion, you can pursue roles such as: Architectural Visualizer 3D Modeler Render Artist BIM Specialist Freelancer/Consultant Architectural Technician Visualization Trainer Mastering these tools opens doors to versatile career opportunities in architectural visualization. Download Revit Download 3ds max Download Vray Revit and 3dsMax V-Ray Visualization Training: Master architectural visualization with our intensive course blending Revit, 3dsMax, and V-Ray. Dive into modeling, materials, lighting, and rendering for photorealistic results. Course Highlights: Comprehensive Learning: Cover fundamental and advanced techniques in Revit and 3dsMax, enhancing your visualization skills. V-Ray Expertise: Explore advanced V-Ray rendering techniques, from global illumination to realistic material creation. Real-World Projects: Work on industry-relevant projects, building a portfolio of professional-grade visualizations. Flexible Learning: Choose in-person or live online sessions for interactive instruction and engaging discussions. Lesson Recordings: Access session recordings to review concepts, reinforcing your learning at your own pace. Lifetime Support: Enjoy lifetime email support for ongoing guidance from experienced instructors, ensuring your success beyond the course. Enroll now to transform your architectural designs into captivating visualizations, impressing clients with your skills and creativity. Join our training for a comprehensive learning experience, enhancing your expertise in Revit, 3dsMax, and V-Ray. Revit | 3ds max | V-Ray Course Benefits: Comprehensive Skill Set: Master Revit, 3dsMax, and V-Ray for exceptional architectural visualization, from basic modeling to advanced rendering. Realistic Rendering: Harness V-Ray's capabilities for lifelike visuals, covering global illumination, materials, and textures. Practical Experience: Work on industry-relevant projects, building a professional portfolio with hands-on exercises. Flexible Learning: Choose in-person or live online sessions for interactive instruction and discussion, tailored to your preferences. Review Resources: Access recorded class sessions to reinforce your knowledge and skills at your convenience. Lifetime Support: Enjoy lifetime email support from experienced instructors, ensuring ongoing guidance for your projects.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam. Overview Blend data multiple sources. Join data. Access data in PDFs. Refine visualizations with sets and parameters. Analyze data with calculations. Visualize data with advanced calculations. Perform statistical analysis and forecasting. Create geographic visualizations. Get answers with Ask and Explain The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage. Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau© software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients. Prerequisites Tableau Desktop: Part 1 Lesson 1: Blending Data from Multiple Sources Topic A: Blend Data Topic B: Refine Blends to Visualize Key Information Lesson 2: Joining Data Topic A: Create Joins Topic B: Troubleshoot Joins Topic C: Merge Data with Unions Lesson 3: Accessing Data in PDFs Topic A: Connect to PDFs Topic B: Clean Up and Organize PDF Data Lesson 4: Refining Visualizations with Sets and Parameters Topic A: Create Sets Topic B: Analyze Data with Sets Topic C: Apply Parameters to Refine Visualizations Topic D: Create Advanced Visualizations Lesson 5: Analyzing Data with Calculations Topic A: Create Calculated Fields to Analyze Data Topic B: Manipulate Data with Functions Topic C: Analyze Data with Table Calculations Lesson 6: Visualizing Data with Advanced Calculations Topic A: Create Groups and Bins with Calculations Topic B: Analyze Data with LOD Expressions Lesson 7: Performing Statistical Analysis and Forecasting Topic A: Perform Statistical Analysis Topic B: Forecast Data Trends Lesson 8: Creating Geographic Visualizations Topic A: Create Maps Topic B: Customize Mapped Data Lesson 9: Getting Answers with Ask and Explain Topic A: Ask Data Topic B: Explain Data Additional course details: Nexus Humans Tableau Desktop - Part 2 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 Tableau Desktop - Part 2 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.

The Healthcare Assistant course promotes health, safety and well-being in care settings. The fundamental purpose of care assistance is to enhance the quality of life. This course also discusses how Commercial enterprises prioritize financial profit in order to maintain their valuation and viability. To fulfill its responsibility to society, health care must concentrate on generating social profit. If you want to make a career as a health care assistant, Our Healthcare Assistant course will guide you toward success. Healthcare-assistant workers can be found in a wide range of contexts, from mental health to children's services. As a healthcare-assistant worker, you'll work under the supervision of a care professional, supporting them and helping patients on their journey back to good health. The Healthcare Assistant course provides students with a thorough understanding of care assistant practices and procedures, physical and mental health disorders, and legal responsibilities. Developing the necessary skills and knowledge to advance and improve students' medical careers in care support, this course is very important. The Healthcare Assistant course helps students to gain a thorough understanding of care assistants in the UK. There are many types of health care assistants, each with different roles and responsibilities. In the care sector, a caregiver supporter may work as a primary caregiver to patients, in an emergency room, or even as part of a surgical team. They may work with children, the elderly, or any age in between. Our Healthcare Assistant course will teach you the fundamental, practical skills required for obtaining a successful career as a Health care Assistant. A Social caregiver or a certified assistant provides practical and emotional support to many people. This course analyzes and researches the responsibilities and duties of the care worker which makes them capable of being qualified enough to work for humans as well as work professionally as a certified healthcare assistant. A Healthcare Assistant is someone who can work in various areas related to patient care and treatment in both public and private care facilities. The support staff's role is to aid healthcare professionals in diagnosing, treating, and caring for patients. The Healthcare Assistant course prepares students to work in the care support industry by providing students with detailed knowledge, accurate understanding and skills. Learning Outcomes: After completing this Healthcare Assistant course, learner will be able to: Gain a thorough understanding of UK's healthcare system Understand healthcare assistant's responsibilities Understand confidentiality & patient health records Understand NHS records management Understand health and safety risks in the healthcare sector Understand hygiene in nursing Gain a solid understanding of infection control in healthcare setting Understand mobility and immobility Understand medical jargon and terminology Understand the impact of covid-19 on mental health and human rights Gain in-depth knowledge of quality in health and social care Why Choose Healthcare Assistant Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the course. ***Others Benefits of this Healthcare Assistant Course Free One PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Unlimited Retake Exam [ Note: Free PDF certificate as soon as completing the course] The Healthcare Assistant course will help you navigate the healthcare framework and gain the knowledge you need to succeed. Healthcare assistance is a dynamic field in the care industry, with care supporters working in a variety of settings as part of multidisciplinary health care teams. From The Healthcare Assistant course, students will understand the responsibilities of a caregiver's responsibilities ranging from administration to medical treatment. We leave no stone unturned, and whether you are ready to take The Healthcare Assistant course to improve your career or simply want to improve your current skills, we will assist you every step of the way. Through The Healthcare Assistant course, you will also gain in-depth knowledge about NHS records management. It also includes step-by-step instructions on how to administer prescription-only medicines, read product labels, keep patient records, and much more. Doctors and care assistants are equally important. They play a key role in the NHS. Healthcare-assistants work alongside nurses, midwives, and other health professionals to provide care to patients. The job is crucial for patient comfort. By attending to patients' basic but essential needs, care assistants can have a significant impact on their comfort and well-being. This Healthcare Assistant course is designed to provide you with a thorough understanding of how to do these tasks effectively. This Healthcare Assistant course will teach you about health and safety responsibilities, patient mobility and immobility issues in nursing, infection control, and how to maintain hygiene in nursing. This course includes adapting to working as a Healthcare Assistant in various health-care settings, maintaining medical records, and several legal, professional standards, and ethical aspects of health care. So, enroll today. Detailed course curriculum of *** Healthcare Assistant *** Module 1: Introduction to the UK Healthcare System An Overview of the UK Healthcare System History of the UK Healthcare System Trends and Developments Current Healthcare systems in the UK Healthcare Systems in Different Regions of the UK The Top Healthcare Carriers in the UK People With Special Needs Reinsurance in the UK Healthcare Services Categories of Healthcare Services Module 2: Healthcare Assistant's Responsibilities What is a Healthcare-Assistant? Healthcare-Assistant Duties and Responsibilities Module 3: Confidentiality & Patient Health Records Confidential Patient Information Disclosing and Using Confidential Patient Information Patient Consent to Disclosing The Confidentiality Model Legal Considerations Patient Confidentiality and Covid-19 Disclosure of Deaths Due to Coronavirus Accessing and Sharing Patient Health Records Access to Deceased Patients' Health Records NHS Constitution and Policy Background Electronic Health Records Summary Care Records NHS Data and Cyber Security Patient Data, Apps and Artificial Intelligence (AI) Cross-border Data Sharing After Brexit Module 4: NHS Records Management Management and Organisational Responsibility Policy and Strategy Record Creation Information Quality Assurance Record-Keeping Record Maintenance Scanning Appraisal of Records Module 5: Health And Safety Risks In The Healthcare Sector Roles And Responsibilities What Should Be Considered Before Starting The Risk Assessment? The Risk Assessment Risk Assessment of Potential Occupational Exposure To Infection Risk of Blood-borne Infections Risk of Airborne Infection Risk of Direct And Indirect Contact Infection Module 6: Hygiene In Nursing Hygiene Morning & Evening Care Personal Hygiene Nurse's Role in Personal Hygiene Oral Hygiene Oral Hygiene for Independent Patients Oral Hygiene for Dependent Patients Oral Hygiene for Unconscious Patients Bed Bath Care Of Hands, Feet & Nails Module 7: Infection Control in Healthcare Setting What are HCAIs? Risk Factors for HCAIs HCAIs: Key Policy Issues Some Recent Initiatives on HCAIs Policy Initiatives in Other Countries Overview Module 8: Mobility and Immobility The Basic Concept of Mobility & Immobility Identifying Mobility Issues and the Need for Assistance Assistive Devices Early Mobility Protocols Module 9: Medical Jargon and Terminology Common Anatomy Term Common Pathology Term Module 10: The Impact of Covid-19 on Mental Health and Human Rights International Human Rights Obligations Updated Guidance on Human Rights During the Pandemic Covid-19 And the Effect on Mental Health in the UK Module 11: Quality in Health and Social Care Improving Quality and Delivering Better Outcomes Quality Is Complex and Systemic Setting The Bar on Quality Continuously Improving Quality A Culture That Puts Patients First Summary Of Tools and Levers Spotting The Early Signs of Failure Judging When There Has Been a Quality Failure Responding When Things Go Wrong Assessment Method After completing each module of the Healthcare Assistant, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this Healthcare Assistant, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This course is ideal for anyone who wants to boost their career as a Healthcare Assistant officer and gain relevant skills. The course is suitable for anyone interested in gaining in-demand Healthcare-Assistant proficiency to help them explore a career as a Healthcare Assistant personnel or improve their Health care Assistant aptitude. Requirements There are no specific requirements for Healthcare Assistant course because it does not require any advanced knowledge or skills. Students who intend to enrol in this course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path The knowledge you will gain through Healthcare Assistant course may lead you to a variety of career opportunities. Such as: Healthcare Assistant: £9.05 - £13.00 per hour Healthcare Solicitor: £70,000 - £90,000 per annum Nursing Assistant: £11.22 per hour Support Worker: £10.50 - £20.00 per hour Certificates Certificate of completion Digital certificate - Included

Learn to efficiently use Midjourney, an AI image-generation tool sweeping the globe. Generate images with artificial intelligence (AI) in a revolutionary way using text prompts or simple drawing tools. So, join this course and let's get your first idea on the screen!

This GRI, IEMA & CPD course is geared for busy professionals who want to understand how to proceed and create a 1st Class GRI Standards Sustainability Report and have a plan for immediate sustainability action without wasting time.

Duration 2 Days 12 CPD hours Overview This program is designed to provide you with the knowledge and skills necessary to: Build a solid foundation in human resource management. Discuss key pieces of federal legislation that impact HR. Understand the role of the EEOC and its investigatory process. Improve your employee recruitment and selection process to help avoid legal pitfalls. Understand the importance of effectively communicating base pay, incentive compensation, and benefits information to staff at all levels. Gain knowledge of employee orientation, onboarding, and training and development. Learn the process, methods and purpose of performance appraisals. Gain the critical knowledge necessary to help reduce costs, avoid potential lawsuits, and improve your ability to handle challenging HR issues. This program is ideal if you are just starting out in the HR profession. 1 - HUMAN RESOURCE MANAGEMENT The HR profession Strategic and human resource planning 2 - EMPLOYMENT LAW Federal CEO legislation The EEOC and affirmative action Compensation legislation Other federal 3 - RECRUITMENT AND SELECTION Recruiting The selection process Evaluating applicants 4 - COMPENSATION AND BENEFITS Total compensation Pay increases and incentives Compensation system design Benefits overview 5 - EMPLOYEE DEVELOPMENT Orientation, training, and development Training program design Training evaluation 6 - PERFORMANCE MANAGEMENT Performance management systems Performance appraisal process Disciplinary action Termination Additional course details: Nexus Humans SHRM Essentials of HR Management 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 SHRM Essentials of HR Management 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.

Aligned with the AIGP certification program, AI Governance Professional Training is for professionals tasked with implementing AI governance and risk management in their organizations. It provides baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. This training meets the rapidly growing need for professionals who can develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies. About This Course This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a 'test prep' course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.   Module 1: Foundations of artificial intelligence Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context. Module 2: AI impacts on people and responsible AI principles Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI. Module 3: AI development life cycle Describes the AI development life cycle and the broad context in which AI risks are managed. Module 4: Implementing responsible AI governance and risk management Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems' potential societal benefits. Module 5: Implementing AI projects and systems Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment. Module 6: Current laws that apply to AI systems Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform. Module 7: Existing and emerging AI laws and standards Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed. Module 8: Ongoing AI issues and concerns Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues. Accreditation The associated exam is accredited by the IAPP under its ANSI Accreditation Who Should Attend? Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification. Prerequisites A general understanding of AI, Corporate Governance, and Business value would be of benefit to participants. Assessment As with all IAPP exams, the AIGP is a 90 question, multiple choice exam to be completed within 150 minutes. Exams are hosted by Pearsonvue and can be taken either remotely, or via any one of hundreds of exam venues globally. A passing score is achieved at 70% Our Guarantee We are an approved IAPP training provider Exam pass guarantee, or retrain until you do, for free What's Included? Participant Guide Study Guide Practice Exam Exam voucher Breakfast, lunch, coffees and snacks (Classroom courses only) Certification Logo

  This training course is designed to help participants acquire the knowledge and skills needed to support an organization in effectively planning, implementing, managing, monitoring, and maintaining a cloud security program based on ISO/IEC 27017 and ISO/IEC 27018. It provides a comprehensive elaboration of cloud computing concepts and principles, cloud computing security risk management, cloud-specific controls, cloud security incident management, and cloud security testing. About This Course   Learning objectives   Gain a comprehensive understanding of the concepts, approaches, methods, and techniques used for the implementation and effective management of a cloud security program  Acknowledge the correlation between ISO/IEC 27017, ISO/IEC 27018, and other standards and regulatory frameworks Gain the ability to interpret the guidelines of ISO/IEC 27017 and ISO/IEC 27018 in the specific context of an organization Develop the necessary knowledge and competence to support an organization in effectively planning, implementing, managing, monitoring, and maintaining a cloud security program Acquire the practical knowledge to advise an organization in managing a cloud security program by following best practices Course Agenda   Day 1: Introduction to ISO/IEC 27017 and ISO/IEC 27018 and the initiation of a cloud security program Day 2: Cloud computing security risk management and cloud-specific controls Day 3: Documented information management and cloud security awareness and training Day 4: Cloud security incident management, testing, monitoring, and continual improvement; the examination Additional Information   Certification fees are included in the exam price. An attendance record worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course. In case candidates fail the exam, they can retake it within 12 months of the initial attempt for free. Accreditation Prerequisites   The main requirement for participating in this training course is having a fundamental understanding of ISO/IEC 27017 and ISO/IEC 27018 and a general knowledge of cloud computing concepts. Who Should Attend?   Cloud security and information security professionals seeking to manage a cloud security program Managers or consultants seeking to master cloud security best practices Individuals responsible for maintaining and managing a cloud security program Technical experts seeking to enhance their cloud security knowledge Cloud security expert advisors What's Included?   Delegates will be provided with; Course Slide deck Participant Guide Exam fees Our Guarantee   We are an Accredited Training Provider of IECB. 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. Assessment   The Certified Lead Cloud Security Manager exam meets the requirements of the National Accreditation Service's Examination and Certification Program (ECP). It covers the following competency domains:   Domain 1: Fundamental principles and concepts of cloud computing Domain 2: Information security policy for cloud computing and documented information management Domain 3: Cloud computing security risk management Domain 4: Cloud-specific controls based on ISO/IEC 27017 and ISO/IEC 27018 and best practices Domain 5: Cloud security awareness, training, roles, and responsibilities Domain 6: Cloud security incident management Domain 7: Cloud security testing, monitoring, and continual improvement   All delegates attending an official training course will be offered the opportunity to sit the associated examination. To pass the examination, a passing score of 70% must be obtained by answering 12 essay type questions covering the scope of the course materials. Successful examination candidates will be issued with a Certificate confirming a passing grade along with the relevant CPD certificate.  Provided by   This course is Accredited by NACS and Administered by the IECB

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00