Duration 4 Days 24 CPD hours This course is intended for This course is for network and system administrators, IT managers, IT support personnel, and other network operations staff who are responsible for deploying new computers across their organizations, managing ongoing software and hardware configuration tasks for computers, and retiring outdated computers. Overview By the completion of this course, you will be able to: Install and configure Ghost Solution Suite 3.0. Use the Ghost Console to create and use jobs and tasks to manage computes. Configure image deployments. Manage ?unknown? and predefined computers. Perform disk wipes and create disk partitions. Create Windows scripted OS installations. Create PC transplant templates. Capture a computer personality, and deploy personality packages. Perform a computer migration from Win 7 to Win 8.1. This course is designed for the professional tasked with installing, configuring, and managing a Deployment Solution system. Overview of Endpoint Lifecycle Management Introduction to Endpoint Lifecycle Management Phases of Endpoint Lifecycle Management ELM Business Objectives and Goals ELM Solution Mapping to Business Objectives Ghost Solution Suite 3.0 Product Overview Implementation Assessment ELM Requirements Gathering Solution Analysis of ELM Requirements Implementation Design GSS 3.0 Technical Overview Installation Options and Prerequisites Defining the Solution Infrastructure Defining the ELM Solution Configuration Installation and Configuration of the ELM Solution Base Software Installation Navigating the Console Core & Solution Configuration Driver Management Pre-boot Environment Endpoint Identification & Gathering IT Requirements Overview Analyzing and Defining IT Requirements Using ELM to Forecast IT Requirements Endpoint Configuration Standards Endpoint Standards Overview Defining Endpoint Standards Implementation of Endpoint Standards Endpoint Provisioning Endpoint Provisioning Overview Standard Build and Image Methodology Software Compatibility Analysis Software Packaging requirements for use in the ELM Solution Software Quality Assurance Methodology Endpoint Deployment & Staging Endpoint Lifecycle Automation Endpoint Lifecycle Automation Scenario Exercise Backup and restore Automating the backup of a computer image Scripted OS Installation Capturing an image for deployment Automating the creation of a master image Automating the deployment of computer images Software Distribution Software Delivery Methods Software Installation Methods Understanding Software Delivery Reporting and Analysis of Software Distribution Tasks Image and Build Maintenance Image maintenance overview Restoring a computer image Capturing the updated image Updating Jobs Managing Software Upgrades Software Upgrade Process Overview Distribution of Software Updates Supporting the Business Ensuring Business Continuity in an ELM System Endpoint Restoration/Recovery Managing Service Support Activities Endpoint Monitoring & Alerting Endpoint Configuration & Maintenance Automating Problem Resolution Application Self-Healing Desired State Management Hardware Refresh & Migration Hardware Refresh & Migration Process Overview Personality Capture and Restore Gathering Current State Inventory for Requirements and Planning Activities Performing Data capture and storage activities Gathering User state or PC personality information Automating the Migration Process Endpoint Retirement/Disposal Ensuring Compliant Disposal Methods and Procedures End to End Endpoint Lifecycle Use Case Endpoint Management Lifecycle Use Case for GSS Additional course details: Nexus Humans Symantec Ghost Solution Suite 3.0 - Administration 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 Symantec Ghost Solution Suite 3.0 - Administration 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.
For insights into how the four colour energies will transform your team dynamics and performance, join this virtual workshop and find out how to embed the four colour energies within your team. Find out your own communication preferences and how to work effectively with colleagues with a different preference.
Duration 3 Days 18 CPD hours This course is intended for Business application consultant Data Consultant / Manager Database Administrator Application developer BI specialist Overview This course will prepare you to: Understand and put into practice the main advanced modeling capabilities of SAP HANA 2.0 SPS04 in the areas of text search and analysis, graph modeling, spatial analysis and predictive modeling. Promote these advanced modeling capabilities to extend the core SAP HANA Modeling features. Broaden your experience with the modern SAP HANA tooling in XS Advanced (SAP Web IDE for SAP HANA) This course provides advanced knowledge and practical experience on several topics that are included in, or connected to, the scope of the modeler role. Its purpose is to take a step further, beyond the core modeling knowledge from HA300, and to demonstrate how applications powered by SAP HANA can benefit from innovations such as Spatial Data Storage and Processing, Text Search and Analysis, Predictive Analysis and Graph Modeling.The course is supported by many demos and exercise, which demonstrate the advanced modeling capabilities in several scenarios. For example, working with classical schemas or HDI containers in XS Advanced, using the SQL console, developing graphical models. Some of the proposed case studies blend together several modeling capabilities, such as text with spatial, or text with graph.An introduction to SAP HANA Series Data is also provided. Introduction to Advanced ModelingSAP HANA Predictive Analysis Library (PAL) Describing SAP HANA PAL Using PAL in Flowgraphs Calling PAL Functions in Calculation Views Calling PAL Procedures in SQL Scripts Exploring the PAL Library SAP HANA Spatial Introducing SAP HANA Spatial Working with Spatial Data Types Importing and Exporting Spatial Data Accessing and Manipulating Spatial Data Using Spatial Clustering SAP HANA Graph Defining SAP HANA Graph Workspace Describing the Different Graph Algorithms Using the Graph Node in Calculation Views Using GraphScript Procedures SAP HANA Text Understanding Full Text Search Understanding Text Analysis Understanding Text Mining SAP HANA Series Data Getting Started with SAP HANA Series Data
Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create data-driven applications. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution. Python© continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Lesson 1: Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Lesson 2: Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Lesson 3: Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Lesson 4: Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Lesson 5: Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Lesson 6: Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Lesson 7: Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Lesson 8: Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files
Duration 1 Days 6 CPD hours This course is intended for This basic course is designed for system administrators, system architects, application developers, quality assurance specialists, and technical sales and marketing professionals. Overview After completing this course, you should be able to: Summarize current business drivers and the need for flexibility Describe enterprise messaging and the capabilities it must provide Identify the main ways that IBM© MQ can impact application design Describe the basic components of IBM© MQ Differentiate between point-to-point and IBM© MQ cluster connectivity Summarize queue manager and queue manager components administrative tasks Contrast the architectural role of IBM© MQ clusters and multiple instance queue managers Describe the security provisions of IBM© MQ and IBM© MQ Advanced Message Security Describe how IBM© MQ is used as part of the communications infrastructure to: Connect application environments, such as the World Wide Web, enterprise transaction systems, and database systems Manage the distribution of publisher information to appropriate subscribers Provide file transfer management with IBM© MQ Managed File Transfer Serve as a JMS provider Interface with WebSphere Application Server Store in-flight messages for IBM© Integration Bus Interact with z/OS applications Facilitate connectivity to mobile environments with IBM© MQ Telemetry Describe the options for deployment to the Cloud In this course, you learn about IBM© MQ V9 basic components and the path that messages follow when they are exchanged between applications. You also learn how IBM© MQ administrative responsibilities can include the management of topic-based publish/subscribe messaging, managed file transfer, and deployments to the cloud. Topics include an overview of the support that IBM© MQ provides for security, publish/subscribe, high availability, administration, logging, auditing, managed file transfer, MQTT, and cloud options. Course introductionIBM© MQ overviewIBM© MQ basicsMessaging styles, topologies, and architecture overviewSystem administration overviewSecurity overviewIntroduction to IBM© MQ Managed File TransferIntroduction to IBM© MQ Telemetry and IBM© MessageSightIntroduction to the IBM© MQ ApplianceExpanding the scope of IBM© MQCourse summary
Duration 3 Days 18 CPD hours This course is intended for This course is designed for project leaders, scrum masters, coaches, product owners, and team members who intend on taking the PMI-ACP© exam. Overview Upon successful completion of this course, you will know: ? Agile principles and practices that will enhance team productivity and improve customer satisfaction ? How to create transparent communication among stakeholders ? How to manage project's scope, schedule and budget in an Agile environment ? How to maximize business value and deliver most value early in the project ? How to build high-performing team ? How to plan at multiple levels and manage stakeholders' expectations ? How to detect, track and resolve risks in an Agile project This course provides participants with a solid foundation of the PMI-ACP© exam. Participants will be introduced to PMI Agile concepts and practices. Introduction to the PMI-ACP© Course and ExamAgile Principles and Mindset Agile project Management Framework: ? What is Agility ? Agile Manifesto ? Agile Principles ? Agile Methodologies: Scrum, Kanban, Extreme programming (XP), Lean ? Agile leadership ? Agile process overview Value-Driven Delivery What is Value-driven delivery, how to deliver value early and minimize waste Assessing Value - Return on Investment (ROI), net present value (NPV), Internal rate of return (IRR), earned value management, managing risk Value Based prioritization ? Customer-Valued prioritization, prioritization schemes (Kano analysis, MoSCoW, relative prioritization / ranking Delivering incrementally ? Minimal Viable Product (MVP), Minimal marketable Feature (MMF), Work In progress (WIP), WIP Limits, Bottlenecks, Cumulative Flow Diagram (CFD) Contracting in Agile projects Verification and validation Stakeholder Engagement Identifying project stakeholders Managing stakeholder engagement Establishing a shared vision ? Agile chartering, Definition of 'Done' (DoD), Agile modelling, wireframes, personas Communication Management ? face to face communication, two-way communication, knowledge sharing, information radiators, social media Working collaboratively ? workshops, brainstorming, collaboration games Interpersonal skills for Agile success ? emotional intelligence, active listening, facilitation, negotiation, conflict resolution, participatory decision making Team Performance Agile team roles High-performing Agile teams ? stages of team development Adaptive leadership Creating collaborative team spaces ? co-located teams, osmotic communication, distributed teams Tracking team performance in Agile teams ? burn charts, velocity Adaptive Planning Defining adaptive planning Principles of Agile planning Tools for sizing and estimating Releases and Iterations planning Problem Detection ?nd Resolution How problems impact a project Detecting problems ? lead time and cycle time, defects, variance analysis, trend analysis, control limits Managing projects threats and issues ? risk-adjusted backlog, risk severity, risk burndown graphs Solving problems Continuous Improvement Multiple levels of improvement ? processes, product, people Implementing continuous process improvement ? process tailoring, systems thinking, process analysis, value stream mapping, project pre-mortems Working towards continuous product improvement ? product feedback loops and learning cycle Leading continuous people improvement ? retrospectives, team self-assessments PMI-ACP© Exam Preparation PMI-ACP© Exam Particulars Overview PMI-ACP© Exam Particulars PMI-ACP© Candidate Requirements PMI-ACP© Candidate Fees PMI-ACP© Exam Application Process
Course Overview This Personal Assistant (PA) course is designed to provide learners with essential skills and knowledge to excel in a variety of administrative roles. Covering everything from business communication to organisational skills, this course ensures learners are equipped to manage office duties efficiently, support executives, and contribute to the smooth running of an organisation. By completing this course, learners will gain a solid understanding of the core functions of a PA, enabling them to confidently take on responsibilities in any professional setting. Course Description The course delves into key areas including business telephone etiquette, managing travel arrangements, organising meetings, and developing effective communication skills. Learners will explore the nuances of record-keeping, minute-taking, and scheduling, essential for ensuring a well-structured office environment. With a strong emphasis on time management, organisational skills, and business writing, this course prepares learners to confidently manage multiple tasks and responsibilities in fast-paced work environments. By the end, learners will have developed the ability to enhance productivity and support executive operations effectively. Course Modules Module 01: Introduction to Personal Assistant Module 02: Business Telephone Skills Module 03: Representing Your Boss and Company Module 04: Mail Services and Shipping Module 05: Travel Arrangements Module 06: Organising Meetings and Conferences Module 07: Time Management Module 08: Record Keeping and Filing Systems Module 09: Business Writing Skills Module 10: Organisational Skills Module 11: Communication Skills Module 12: Customer Service Module 13: Effective Planning and Scheduling Module 14: Invoicing/Petty Cash Module 15: Introduction to Minute Writing Module 16: Preparation for Minute Taking Module 17: The Meeting Structure Module 18: Minute Meeting, Decision and Action Module 19: Roles and Responsibility of Minute Taker Module 20: Tips for Minute Taking Module 21: Technology in Minute Taking Module 22: Building Confidence (See full curriculum) Who is this course for? Individuals seeking to enhance their administrative skills. Professionals aiming to advance their career as a Personal Assistant. Beginners with an interest in office management and administrative roles. Anyone interested in developing organisational and communication skills. Career Path Personal Assistant Executive Assistant Administrative Assistant Office Manager Office Administrator Executive Support Specialist
Course Overview The DeepSeek Masterclass: A Complete DeepSeek Zero to Hero! is designed to provide learners with a comprehensive understanding of DeepSeek AI from the ground up. Whether you are new to artificial intelligence or seeking to deepen your expertise, this course offers a structured journey through DeepSeek's functionalities and real-world applications. Learners will discover how to navigate DeepSeek for software development, business innovation, and educational advancement. Through this masterclass, individuals will build a strong theoretical foundation, explore diverse use cases, and emerge with the confidence to implement DeepSeek-driven strategies in a range of professional environments. By the end of the programme, learners will have developed the knowledge and insights necessary to use DeepSeek as a transformative tool across multiple disciplines. Course Description This in-depth course covers a wide range of essential topics, including the foundations of artificial intelligence, DeepSeek system setup, and its applications across various sectors such as business, education, and software development. Learners will explore how DeepSeek can be leveraged to create smart solutions for students, empower business professionals, and support teaching practices. The masterclass delivers an immersive learning experience that blends conceptual knowledge with strategic application insights. Participants will build expertise in utilising DeepSeek to enhance efficiency, support innovation, and foster professional growth. Whether learners are looking to enter the AI space or to future-proof their careers, this course equips them with the essential skills and understanding to confidently engage with DeepSeek technologies in a competitive landscape. Course Modules Module 01: Getting Started Module 02: Foundations of Artificial Intelligence (AI) Module 03: Setting up DeepSeek AI for Beginners Module 04: DeepSeek for Software Developers Module 05: DeepSeek for Business Professionals Module 06: DeepSeek Smart Solutions for Students Module 07: The Power of DeepSeek Module 08: DeepSeek for Teaching Professionals (See full curriculum) Who is this course for? Individuals seeking to master DeepSeek AI from basic to advanced levels. Professionals aiming to integrate DeepSeek solutions into their organisations. Beginners with an interest in artificial intelligence, software development, or educational technology. Educators and trainers wishing to incorporate AI-based strategies into teaching. Career Path AI Solutions Specialist Software Developer (AI Focus) Business Innovation Consultant Educational Technology Specialist Data Analysis Support Roles AI Application Support Officer Digital Transformation Assistant
Course Overview This comprehensive course is designed to provide a well-rounded understanding of GDPR compliance, data protection frameworks, and key cyber security legislation in the UK and beyond. Covering topics from legal obligations under the General Data Protection Regulation to the implications of cyber crime on modern business, this programme equips learners with the knowledge needed to navigate the increasingly regulated digital landscape. Whether you are responsible for handling sensitive data or advising on compliance procedures, this course offers vital insight into maintaining data integrity and organisational transparency. Upon completion, learners will be able to interpret key legal requirements, identify risk areas, and support best practices within their professional setting. Course Description The GDPR Compliance, Data Protection & Cyber Security Law course explores a range of essential subjects that influence today’s data-driven industries. Learners will gain a strong foundation in legal and regulatory aspects of data handling, including the principles of GDPR, cyber law, and anti-money laundering frameworks. The course also includes modules on commercial and business law to deepen understanding of corporate responsibilities in data management. Ideal for legal assistants, compliance officers, or business managers, this course helps learners enhance their ability to assess data security measures and ensure alignment with current regulations. With a structured curriculum and accessible learning materials, this programme supports learners in achieving a robust legal and regulatory understanding. Course Modules: Module 01: GDPR Module 02: Data Protection Module 03: Paralegal Training Module 04: Commercial Law Module 05: Cyber Law Online Course Module 06: Business Law Module 07: Cyber Security Awareness Training Module 08: Anti-Money Laundering (AML) Training (See full curriculum) Who is this course for? Individuals seeking to understand GDPR and data security regulations. Professionals aiming to improve compliance and data governance within their roles. Beginners with an interest in legal and cyber regulatory frameworks. Business owners, managers, or HR personnel responsible for policy implementation. Career Path Data Protection Officer (DPO) Compliance Consultant Cyber Security Policy Advisor Paralegal in Commercial or Cyber Law Information Governance Analyst Risk and Compliance Coordinator Legal and Regulatory Affairs Assistant
Course Overview The "Microsoft Excel Complete Course" is designed to equip learners with the essential skills to master Microsoft Excel, one of the most widely used tools in data analysis and business operations. This course covers a comprehensive range of topics, including Excel's new features, formula creation, data visualisation, and workbook management. It offers practical knowledge that will help learners work more efficiently, whether they are managing large datasets, analysing trends, or presenting information. By the end of this course, learners will be confident in using Excel for various business tasks, gaining a strong foundation for further professional development. Course Description This course covers all key aspects of Microsoft Excel, from the basics to advanced techniques. Learners will explore Excel’s new features in the 2019 version, as well as how to perform calculations, modify worksheets, and apply formatting. The course delves into functions, lists, and data analysis tools, including PivotTables and charts. Learners will also learn how to work with multiple worksheets and workbooks, use lookup functions, and automate workbook functionality. With a focus on essential Excel tools and techniques, learners will gain the ability to efficiently manage and analyse data for business or personal use. Course Modules Module 01: Microsoft Excel 2019 New Features Module 02: Getting Started with Microsoft Office Excel Module 03: Performing Calculations Module 04: Modifying a Worksheet Module 05: Formatting a Worksheet Module 06: Printing Workbooks Module 07: Managing Workbooks Module 08: Working with Functions Module 09: Working with Lists Module 10: Analyzing Data Module 11: Visualizing Data with Charts Module 12: Using PivotTables and PivotCharts Module 13: Working with Multiple Worksheets and Workbooks Module 14: Using Lookup Functions and Formula Auditing Module 15: Sharing and Protecting Workbooks Module 16: Automating Workbook Functionality Module 17: Creating Sparklines and Mapping Data Module 18: Forecasting Data (See full curriculum) Who is this course for? Individuals seeking to improve their data management and analysis skills. Professionals aiming to enhance their productivity in Excel for business applications. Beginners with an interest in data analysis or office administration. Anyone looking to build a strong foundation in Excel for career advancement. Career Path Data Analyst Financial Analyst Office Administrator Project Manager Business Analyst Operations Manager Administrative Assistant HR Specialist