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Duration 1 Days 6 CPD hours This course is intended for The audience for this course is looking to familiarize themselves with the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. The content for this course aligns to the SC-900 exam objective domain. Candidates should be familiar with Microsoft Azure and Microsoft 365 and understand how Microsoft security, compliance, and identity solutions can span across these solution areas to provide a holistic and end-to-end solution. Before attending this course, students must have: General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions. Prerequisites General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. 1 - Describe security and compliance concepts Describe the shared responsibility model Describe defense in depth Describe the Zero Trust model Describe governance, risk, and compliance (GRC) concepts 2 - Describe identity concepts Define authentication and authorization Define identity as the primary security perimeter Describe the role of the identity provider Describe the concept of directory services and Active Directory Describe the concept of federation 3 - Describe the function and identity types of Microsoft Entra ID Describe Microsoft Entra ID Describe types of identities Describe hybrid identity Describe external identities 4 - Describe the authentication capabilities of Microsoft Entra ID Describe authentication methods Describe multifactor authentication Describe self-service password reset Describe password protection and management capabilities 5 - Describe access management capabilities of Microsoft Entra ID Describe Conditional Access Describe Microsoft Entra roles and role-based access control (RBAC) 6 - Describe the identity protection and governance capabilities of Azure AD Describe Microsoft Entra ID Governance Describe access reviews Describe entitlement management Describe the capabilities of Privileged identity Management Describe Microsoft Entra ID Protection Describe Microsoft Entra Permissions Management Describe Microsoft Entra Verified ID 7 - Describe core infrastructure security services in Azure Describe Azure DDoS protection Describe Azure Firewall Describe Web Application Firewall Describe network segmentation in Azure Describe Azure Network Security Groups Describe Azure Bastion Describe Azure Key Vault 8 - Describe the security management capabilities in Azure Describe Microsoft Defender for Cloud Describe how security policies and initiatives improve cloud security posture Describe Cloud security posture management Describe the enhanced security of Microsoft Defender for Cloud Describe DevOps security management 9 - Describe security capabilities of Microsoft Sentinel Describe threat detection and mitigation capabilities in Microsoft Sentinel Describe Microsoft Security Copilot 10 - Describe threat protection with Microsoft Defender XDR Describe Microsoft Defender XDR services Describe Microsoft Defender for Office 365 Describe Microsoft Defender for Endpoint Describe Microsoft Defender for Cloud Apps Describe Microsoft Defender for Identity Describe Microsoft Defender Vulnerability Management Describe Microsoft Defender Threat Intelligence Describe the Microsoft Defender portal 11 - Describe Microsoft?s Service Trust portal and privacy capabilities Describe the offerings of the Service Trust portal Describe Microsoft's privacy principles Describe Microsoft Priva 12 - Describe the compliance management capabilities in Microsoft Purview Describe the Microsoft Purview compliance portal Describe Compliance Manager Describe use and benefits of compliance score 13 - Describe information protection, data lifecycle management, and data governance capabilities in Microsoft Purview Know your data, protect your data, and govern your data Describe the data classification capabilities of the compliance portal Describe sensitivity labels and policies Describe data loss prevention Describe retention policies and retention labels Describe records management Describe the Microsoft Purview unified data governance solution 14 - Describe the insider risk capabilities in Microsoft Purview Describe insider risk management Describe communication compliance 15 - Describe the eDiscovery and Audit capabilities in Microsoft Purview Describe the eDiscovery solutions in Microsoft Purview Describe the audit solutions in Microsoft Purview

This is a hands-on training course with practical learning; know how to install, configure, and maintain Windows 10 in a Windows environment. Individuals who want to learn how to troubleshoot and diagnose Windows 10 and add Windows 10 to a Windows network will be highly beneficial.

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Duration 5 Days 30 CPD hours This course is intended for This course is designed for IT professionals who wish to develop cloud computing skills to enable them to move IT workloads to the cloud and integrate products and services from different providers and industries. Their focus is to ensure that cloud deployments are secure, that automation and orchestration are used effectively to bring business value from the cloud, and that costs are controlled through effective management of cloud vendors. This course is also designed for students who are preparing to take the CompTIA Cloud+ certification exam CV0-003, or who plan to use Cloud+ as the foundation for more advanced cloud certifications or career roles. Overview In this course, you will deploy, test, secure, manage, optimize, and troubleshoot a cloud solution. You will: - Prepare to deploy cloud solutions - Deploy a pilot project - Test a pilot project deployment - Design a secure network for cloud deployment - Determine CPU and memory sizing for cloud deployments - Determine storage requirements for cloud deployments - Plan Identity and Access Management for cloud deployments - Analyze workload characteristics to ensure successful migration to the cloud - Secure systems to meet access requirements - Maintain cloud systems - Implement backup, restore, and business continuity measures - Analyze cloud systems for required performance - Analyze cloud systems for anomalies and growth forecasting - Troubleshoot deployment, capacity, automation, and orchestration issues - Troubleshoot connectivity issues - Troubleshoot security issues In this course, you will learn how to implement, maintain, and deliver cloud technologies including network, storage, and virtualization technologies to create cloud solutions. 1 - PREPARING TO DEPLOY CLOUD SOLUTIONS Describe Interaction of Cloud Components and Services Describe Interaction of Non-cloud Components and Services Evaluate Existing Components and Services for Cloud Deployment Evaluate Automation and Orchestration Options Prepare for Cloud Deployment 2 - DEPLOYING A PILOT PROJECT Manage Change in a Pilot Project Execute Cloud Deployment Workflow Complete Post-Deployment Configuration 3 - TESTING PILOT PROJECT DEPLOYMENTS Identify Cloud Service Components for Testing Test for High Availability and Accessibility Perform Deployment Load Testing Analyze Test Results 4 - DESIGNING A SECURE AND COMPLIANT CLOUD INFRASTRUCTURE Design Cloud Infrastructure for Security Determine Organizational Compliance Needs 5 - DESIGNING AND IMPLEMENTING A SECURE CLOUD ENVIRONMENT Design Virtual Network for Cloud Deployment Determine Network Access Requirements Secure Networks for Cloud Interaction Manage Cloud Component Security Implement Security Technologies 6 - PLANNING IDENTITY AND ACCESS MANAGEMENT FOR CLOUD DEPLOYMENTS Determine Identity Management and Authentication Technologies Plan Account Management Policies for the Network and Systems Control Access to Cloud Objects Provision Accounts 7 - DETERMINING CPU AND MEMORY SIZING FOR CLOUD DEPLOYMENTS Determine CPU Size for Cloud Deployment Determine Memory Size for Cloud Deployment 8 - DETERMINING STORAGE REQUIREMENTS FOR CLOUD DEPLOYMENTS Determine Storage Technology Requirements Select Storage Options for Deployment Determine Storage Access and Provisioning Requirements Determine Storage Security Options 9 - ANALYZING WORKLOAD CHARACTERISTICS TO ENSURE SUCCESSFUL MIGRATION Determine the Type of Cloud Deployment to Perform Manage Virtual Machine and Container Migration Manage Network, Storage, and Data Migration 10 - MAINTAINING CLOUD SYSTEMS Patch Cloud Systems Design and Implement Automation and Orchestration for Maintenance 11 - IMPLEMENTING BACKUP, RESTORE, DISASTER RECOVERY, AND BUSINESS CONTINUITY MEASURES Back Up and Restore Cloud Data Implement Disaster Recovery Plans Implement Business Continuity Plans 12 - ANALYZING CLOUD SYSTEMS FOR PERFORMANCE Monitor Cloud Systems to Measure Performance Optimize Cloud Systems to Meet Performance Criteria 13 - ANALYZING CLOUD SYSTEMS FOR ANOMALIES AND GROWTH FORECASTING Monitor for Anomalies and Resource Needs Plan for Capacity Create Reports on Cloud System Metrics 14 - TROUBLESHOOTING DEPLOYMENT, CAPACITY, AUTOMATION, AND ORCHESTRATION ISSUES Troubleshoot Deployment Issues Troubleshoot Capacity Issues Troubleshoot Automation and Orchestration Issues 15 - TROUBLESHOOTING CONNECTIVITY ISSUES Identify Connectivity Issues Troubleshoot Connectivity Issues 16 - TROUBLESHOOTING SECURITY ISSUES Troubleshoot Identity and Access Issues Troubleshoot Attacks Troubleshoot Other Security Issues Additional course details: Nexus Humans CompTIA Cloud Plus Certification (Exam CV0-003) 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 CompTIA Cloud Plus Certification (Exam CV0-003) 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 designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Duration 5 Days 30 CPD hours This course is intended for A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course will teach you to use Microsoft Power Platform solutions to simplify, automate, and empower business processes for organizations in the role of a Functional Consultant. A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course may contain a 1-day Applied Workshop. This workshop will allow you to practice your Functional Consultant skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows. Prerequisites Experience as an IT professional or student Working knowledge of Microsoft Power Platform and its key components Knowledge of Microsoft Dataverse (or general data modeling) and security concepts 1 - Describe the business value of the Microsoft Power Platform Explore Microsoft Power Platform Describe the business value of the Power Platform Explore connectors and Microsoft Dataverse Describe how Power Platform works with Microsoft 365 apps and services Explore how Power Platform works with Microsoft Teams Describe how Power Platform works with Microsoft Dynamics 365 apps Describe how Power Platform solutions consume Microsoft Azure services Explore how Microsoft Power Platform apps work together Use Artificial Intelligence to increase productivity 2 - Core components of Power Pages Get started with Power Pages Core tools and components of Power Pages Overview of Power Pages security Overview of Power Pages extensibility 3 - Explore Power Pages templates Site design templates Scenario-based templates Dynamics 365 Power Pages site templates 4 - Explore Power Pages design studio Work with pages Page components Site styling and templates 5 - Explore Power Pages design studio data and security features Data workspace in Power Pages design studio Power Pages security features 6 - Introduction to Power Pages administration Power Pages administrative tools Set up workspace in Power Pages design studio 7 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 8 - Get data with Power BI Desktop Overview of Power BI Desktop Explore Power BI Desktop Connect to data sources Get data from Excel Transform data to include in a report Combine data from multiple sources Clean data to include in a report 9 - Model data in Power BI How to manage your data relationships Create calculated columns Optimize data models Create measures Create calculated tables Explore time-based data 10 - Use visuals in Power BI Create and customize simple visualizations Create slicers Map visualizations Matrices and tables Create scatter, waterfall, and funnel charts Modify colors in charts and visuals Page layout and formatting 11 - Explore data in Power BI Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Display visuals and tiles in full screen Edit tile details and add widgets Get more space on your dashboard 12 - Publish and share in Power BI Publish Power BI Desktop reports Print and export dashboards and reports Introducing Power BI Mobile Create workspaces in Power BI Build apps Use apps Integrate OneDrive for Business with Power BI Publish to web 13 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 14 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 15 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 16 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method 17 - Create tables in Dataverse Table characteristics Table relationships Dataverse logic and security Dataverse auditing Dual-write vs. virtual tables 18 - Manage tables in Dataverse Identify tables and table types in Dataverse Create a custom table Enable attachments within a table Licensing requirements for each table type 19 - Create and manage columns within a table in Dataverse Define columns in Microsoft Dataverse Column types in Microsoft Dataverse Add a column to a table Create a primary name column Restrictions that apply to columns in a table Create an auto numbering column Create an alternate key 20 - Create a relationship between tables in Dataverse Relate one or more tables - Introduction Relationship types that are available in Microsoft Dataverse Create a one-to-many relationship between tables Create a many-to-many relationship between tables Edit or delete relationships 21 - Working with choices in Dataverse Define choice column Standard choices column 22 - Get started with security roles in Dataverse Understand environment roles Adding or disabling an environment user Understand security concepts in Dataverse Understand user security roles and security role defaults Check the roles that a user belongs to Configure Dataverse teams for security Configure Dataverse group teams for security 23 - Use administration options for Dataverse Use Microsoft Power Platform Admin Center portal Tenant storage capacity Advanced Customization options in Power Apps Portal Enable and disable auditing 24 - Manage Dynamics 365 model-driven app settings and security Configure role-based security Manage teams and business units Explore settings and customizations 25 - Introduction to Microsoft Power Platform security and governance Identify Microsoft Power Platform environments Data Loss Prevention policies Microsoft Power Platform Center of Excellence Starter Kit 26 - Get started with model-driven apps in Power Apps Introducing model-driven apps Components of model-driven apps Design model-driven apps Incorporate business process flows 27 - Configure forms, charts, and dashboards in model-driven apps Forms overview Form elements Configure multiple forms Use specialized form components Configure views overview Configure grids Create and edit views Configure charts overview Dashboards overview Use interactive streams and tiles 28 - Get started with Power Apps canvas apps Power Apps building blocks Ways to build Power Apps Power Apps related technologies Additional Power Apps related technologies Designing a Power Apps app 29 - Connect to other data in a Power Apps canvas app Overview of the different data sources Work with action-based data sources Power Automate is a companion to Power Apps 30 - How to build the UI in a canvas app in Power Apps Use themes to quickly change the appearance of your app Branding a control Icons Images Personalization Using the tablet or phone form factors 31 - Manage apps in Power Apps Power Apps review 32 - Build your first app with Power Apps and Dataverse for Teams Create your first app with the hero template Customize your app with Power Apps Studio Publish your app Install template apps 33 - Access Dataverse in Power Pages websites Use lists to display multiple Dataverse records Use forms to interact with Dataverse data 34 - Authentication and user management in Power Pages Power Pages authentication settings User registration in Power Pages Authentication management for Power Pages users Power Pages authentication providers 35 - Power Pages maintenance and troubleshooting Power Pages website maintenance Power Pages website troubleshooting 36 - Define and create business rules in Dataverse Define business rules - Introduction Define the components of a business rule Create a business rule 37 - Get started with Power Automate Introducing Power Automate Troubleshoot flows 38 - Use the Admin center to manage environments and data policies in Power Automate Administer flows Export and import flows Learn how to distribute button flows 39 - Use Dataverse triggers and actions in Power Automate Dataverse triggers Query data Create, update, delete, and relate actions 40 - Extend Dataverse with Power Automate Set up a flow and configure its trigger Email Dataverse record Add to-do items Test and run your flow 41 - Introduction to expressions in Power Automate Get started with expressions Notes make things easier Types of functions Write complex expressions 42 - Build your first Power Automate for desktop flow Set up the environment Explore Power Automate for desktop Create your first Power Automate for desktop flow Record Power Automate for desktop actions Edit and test recorded actions 43 - Run a Power Automate for desktop flow in unattended mode Set up an unattended desktop flow Create a new cloud flow that calls an existing flow in unattended mode Perform a test run Best practices 44 - Optimize your business process with process advisor Get familiar with process advisor Create your first recording Edit recordings and group actions Analyze recordings and interpret results Automation recommendations 45 - Get started with Microsoft Copilot Studio bots Get started working with environments Create bots and work with the Microsoft Copilot Studio interface Create topics Test bots Publish bots and analyze performance 46 - Enhance Microsoft Copilot Studio bots Use Power Automate to add actions Transfer conversations to agents by using Omnichannel for Customer Service Create topics for existing support content Analyze bot performance 47 - Manage topics in Microsoft Copilot Studio Work with bot topics Branch a topic Create topics for existing support content Work with system fallback topics Manage topics 48 - Manage Power Virtual Agents Environments in Microsoft Copilot Studio Bot topics permissions Bot entities and flow permissions Monitor and diagnose Administer and manage Export and import bots Authentication 49 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 50 - Get data with Power BI Desktop Overview of Power BI Desktop Explore Power BI Desktop Connect to data sources Get data from Excel Transform data to include in a report Combine data from multiple sources Clean data to include in a report 51 - Model data in Power BI How to manage your data relationships Create calculated columns Optimize data models Create measures Create calculated tables Explore time-based data 52 - Use visuals in Power BI Create and customize simple visualizations Create slicers Map visualizations Matrices and tables Create scatter, waterfall, and funnel charts Modify colors in charts and visuals Page layout and formatting 53 - Explore data in Power BI Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Display visuals and tiles in full screen Edit tile details and add widgets Get more space on your dashboard 54 - Publish and share in Power BI Publish Power BI Desktop reports Print and export dashboards and reports Introducing Power BI Mobile Create workspaces in Power BI Build apps Use apps Integrate OneDrive for Business with Power BI Publish to web 55 - Manage solutions in Power Apps and Power Automate Add and remove apps, flows, and entities in a solution Edit a solution-aware app, flow, and table Build and deploy a complex solution with flows, apps, and entities Automate solution management 56 - Load/export data and create data views in Dataverse View data in a table Create or edit views of data in a table Load data into a table Export data from a table Add, update, or delete data in a table by using Excel Import data using Power Query Generate a new dataflow from an Excel Template Dataflow and Azure integration 57 - Get started with AI Builder Choose an AI capability Create your first model Ways to use your models 58 - Manage models in AI Builder Model lifecycle Manage model versions Share your models 59 - Use AI Builder in Power Automate AI Builder in Power Automate saves time Advanced usage of AI Builder in Power Automate 60 - Functional Consultant skills Create entity relationship diagrams Create and document mock-ups Document functional requirements and artifacts Complete fit-gap analysis Discuss stakeholder management responsibilities Understand industry accelerators Define Application Lifecycle Management Participate in testing Evaluate options Define connectors Understand Power Apps component framework 61 - Solution Architect series: Plan application lifecycle management for Power Platform Key considerations for ALM Solutions Configuration and reference data Release process ALM with Azure DevOps

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Course Information Join our comprehensive three-day training programme tailored for individuals seeking a foundational grasp of computerised system validation. This course equips participants with essential knowledge to effectively validate systems within their respective organisations for utilisation in GxP (GLP, GCP, GMP, GDP, and GPvP) environments. Attendees will also gain proficiency in auditing validated computerised systems, ensuring compliance with pertinent GxP regulations. Commencing with an overview of regulatory prerequisites and the system life cycle, the course transitions into practical aspects, centered around validating computerised systems and conducting subsequent audits. Engage in a dynamic blend of presentations, interactive discussions, and hands-on practical workshops throughout the course. This course will provide delegates with an understanding of the computerised system validation process, including: Definition of end user requirements Risk management, including supplier assessment and techniques for audit planning Validation planning and reporting Linking system development with good business practices Formal testing and qualification Understanding of data integrity and security issues How to assess system validation documentation to verify compliance. Is this course for you? IT professionals new to implementing computerised systems into regulated environments Quality professionals who monitor or audit computerised systems System owners, end users, tester and project staff. Tutors Tutors will be comprised of (click the photos for biographies): Nichola Stevens Director and Principal Consultant, Nuncius Compliance Solutions Ltd Barry McManus Consultancy Partner, Empowerment Quality Engineering Ltd Programme Please note timings may be subject to alteration. Day 1 09:00 Welcome, Introduction and Course Objectives 09:45 Why Validate? Regulations and Guidance on Computerised System Validation Overview of the regulations and guidance applicable to CSV and their key expectations. 10:30 Break 10:45 The System Lifecycle The concept of the SLC and the key outputs from it. 12:00 Lunch 12:45 The Validation Process The approach to validation for different system types and a look at some of the key deliverables. 14:00 Project Introduction 14:15 Exercise 1 - User Requirements Capturing, agreeing and documenting the user requirements for a system. 15:15 Break 15:30 Exercise 1 - Feedback 16:00 Risk Management Risk management and its impact on validation. Identifying the deliverables required. Then group discussion on risk assessment for three systems. 17:00 Questions and Answers Answers to any outstanding questions from Day 1. 17:15 Close of Day Day 2 09:00 Supplier Assessment The different approaches to supplier assessment and the things to be considered when assessing a supplier. 10:15 Exercise 2 - Supplier Assessment Planning a vendor audit with a focus on the key validation deliverables. 11:00 Break 11:15 Exercise 2 - Feedback 11:45 Test Overview and Test Planning The different test phases, the purpose of each test phase and things to be considered when planning and reporting testing. 12:45 Lunch 13:30 Test Overview and Test Planning Continued. 14:15 Test Script Design, Execution and Review What a good test script looks like and the key things to consider when creating, executing and reviewing a test script. 15:30 Break 15:45 Exercise 3 - Creating a Test Script Create a test script based on user requirements created on Day 1. 17:15 Close of Day Day 3 09:00 Exercise 3 Feedback 09:30 Infrastructure Configuration and Qualification 10:30 Break 10:45 Validation Reporting Overview of the Validation Report and what should be included in it. 11:15 Maintaining the Validated State The procedures and records needed to ensure the system remains fit for purpose. 12:30 Lunch 13:15 Change Control Key concepts related to making changes to validated systems. 14:00 Data Integrity and Security How can we assure the integrity and security of our data. 15:15 Break 15:30 Course Objectives Summary and Panel Discussion A round up of key learning from the course. 17:00 Close of Course Extra Information Face-to-face course Course Material Course material will be available in PDF format for delegates attending this course. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course. The material will be emailed in advance of the course and RQA will not be providing any printed copies of the course notes during the training itself. Delegates wishing to have a hard copy of the notes should print these in advance to bring with them. Alternatively delegates are welcome to bring along their own portable devices to view the material during the training sessions. Remote course Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. CPD Points 19 Points Development Level Develop

The purpose of these qualifications is to enable learners to coach clients – one to one and in small groups – towards their health and fitness goals. Learners will develop the knowledge, skills and behaviours to plan and deliver creative and personalised exercise programmes, provide nutritional advice and support clients with their overall lifestyle management.

Personal development groups for practitioners with Bárbara Godoy A playground for therapists to expand our perception to metaphor, as a way to connect directly with the experience of the other, guided by folklore and fairytales. "Supportive, thought-provoking, emancipating, grounding" Tuesday Evenings Group 6 pm to 7.15 pm  (UK Time) Friday Lunchtime Group 12.30 pm to 1.45 pm (UK time) Spring Term Phase One - 2025 22 and 29 April 6, 13, 20 and 27 May 3, 10, 17 and 24 June Autumn Term Phase Two - 2025 23 and 30 September 7, 14, 21 and 28 October 4, 11, 18 and 25 November Winter Term Phase Three - 2026 20 and 27 January 3, 10, 17 and 24 February 3, 10, 17 and 24 March Winter Term Phase One - 2025 24 and 31 January 7, 14, 21, 28 February 7, 14, 21 and 28 March Spring Term Phase Two - 2025 25 April 2, 9, 16, 23 and 30 May 6, 13, 20 and 27 June Autumn Term Phase Three - 2025 26 September 3, 10, 17, 24 and 31 October 7, 14, 21 and 28 November Venue: Online (Zoom) Fee: £350 per term or £900 the whole year Bárbara Godoy M.A., Adv. Dip. Exi. Psy. Existential Psychotherapist Group Leader, Counsellour, Lecturer and Supervisor, MBACP & UKCP accredited, SEA Professional Member, Director of Therapy Harley StreetBárbara’s academic contributions in London since 2008 include lecturing and researching on the theory and practice of Phenomenological Existential Therapy on Doctorate, MA and professional courses at the School of Psychotherapy and Counselling Psychology, Regent’s University and the New School of Psychotherapy and Counselling directed by Emmy van Deurzen. Bárbara has facilitated and designed therapeutic Group Work since 1997. She brought her earliest workshop: “Experiences” to large groups in The Netherlands, Italy, France, UK and Argentina. These awareness-intensive processes are a legacy of the human potential movement (HPM) of the 1960s, with techniques such as AUM Meditation Marathons, Psychodrama, Bioenergetics and Primal Feelings work. Organized by: