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Global Project Management: Virtual In-House Training In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. In today's increasingly global environment, managing a project with customers and support organizations spread across multiple countries and continents is a major challenge. From identifying stakeholders and gathering requirements, to planning, controlling, and executing the project, the basic logistics of a global project present their own standard challenges. However, with additional cultural, language-based, and regional elements, global projects involve more complexities than teams often realize. There are unique communication needs, cultural awareness elements, varying customs and work expectations, and critical legal differences to consider. In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. This will leverage you to problem solve differently on global projects, prevent problems, and ensure success. The goal is for you to effectively navigate the challenges of leading projects with multi-regional footprints and globally diverse sets of stakeholders. What you Will Learn At the end of this program, you will be able to: Determine when a project meets the criteria of being a true global one Articulate global project needs based on the project grid and framework Identify and analyze global project stakeholders Recognize cultural differences and articulate how they impact project work Determine global project estimating, scheduling, and staffing challenges Assess global project risks and develop problem-solving responses Analyze complex cultural situations and align optimal project communication and negotiation tools and techniques Apply best practices for conducting virtual team work and mitigating virtual challenges Evaluate ways to control for global project scope, cost, and procurement Align customer management best practices with global customer needs Implement key global project closing activities Foundation Concepts What is a global project? What makes a global project different? A global project management framework Initiating the Global Project Launching a global project Respecting cultural differences Identifying and analyzing stakeholders Developing the communications plan Defining the ideal global project manager Crafting a global project charter Planning the Global Project Gathering requirements for a global project Defining the scope, region by region Estimating and scheduling for global projects Staffing the global project Developing the global risk management plan Executing the Global Project Managing global stakeholder expectations Embracing cultural diversity Honing global negotiation techniques Procuring goods and services on a global basis Managing global legal and regulatory issues at the micro and macro level Monitoring and Controlling the Global Project Status reporting Virtual communication Cost control Schedule control Scope control Customer satisfaction Closing the Global Project Contract closure at the macro and micro levels Administrative closure with global reach Lessons learned

Addigy training London, Addigy training course

Duration 1 Days 6 CPD hours This course is intended for To ensure success, students should have completed Excel Essentials and Excel Functions Including Pivot Tables and Lookups or have the equivalent knowledge and experience. Overview Upon successful completion of this course, students will be able to enhance productivity and efficiency by streamlining workflow, collaborate with others, and audit and analyse data. This course is designed for students desiring to gain skills necessary to create macros, collaborate with others, audit and analyse data, incorporate multiple data sources, and import data. Working with Multiple Worksheets and Workbooks Working with Named Ranges Link Cells Across Worksheets and Workbooks Use 3D References to Calculate Across Worksheets Consolidate Data Use Formula Auditing and Error Checking Reveal Formulas Trace Cell Precedents and Dependents Locate Errors in Formulas Watch and Evaluate Formulas Reviewing and Protecting Workbooks Control Data Entry via Data Validation Protect Workbook Access Protect Worksheets and Cell Content Add and Edit Comments Prepare a Workbook for Distribution Modify Excel's Default Settings Using Macros to Automate Workbook Functionality Create Macros via Recording Run Macros via Buttons and Shortcuts Assign Macros to the Quick Access Toolbar and Ribbon Assign Macros to Objects View Macro Code Forecasting and Analysis Data Use Conditional Formatting to Highlight, Sort and Filter Key Data Advanced Conditional Formatting using Formulas Create Sparklines to Visualise Data Add Trendlines to Charts to Visualise and Forecast Trends Use Data Tables and Scenarios to Project Potential Outcomes Use Goal Seek to Calculate Outcomes Forecast Data Trends Using Solver

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

Use Cases for Business Analysis: Virtual In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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 5 Days 30 CPD hours This course is intended for Ideal candidates are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies. Overview After you successfully complete this course, expect to be able to: Explain Networking Fundamentals Describe and review the Aruba Switching portfolio with customers Install and configure devices running the ArubaOS-CX Network Operating System Describe and configure VLANs Explain, describe and configure Spanning Tree Protocol Understand when to use VRRP and how to configure it Explain and configure Link Aggregation Understand and configure IP Routing Explain IP Subnetting Understand and configure OSPFv2 - Single Area Describe and configure Switch Stacking using VSF Configuration of Aruba solutions using Secure Management and Maintenance methodologies Manage, monitor, administer and operate Aruba solutions using Aruba's NetEdit tool This course teaches you the fundamental skills necessary to configure and manage modern, open standards-based networking solutions using Aruba's OS-CX routing and switching technologies. This course consists of approximately 60% lecture and 40% hands-on lab exercises to help you learn how to implement and validate small to medium enterprise network solutions. This 5-day course prepares candidates for the Aruba Certified Switching Associate exam.In this course, participants learn about ArubaOS-CX switch technologies including multi-layer switches. You will also learn about broadcast domains and Virtual Local Area Networks (VLANs); secure management protocols such as AAA, SSH, HTTPS, and Dynamic Segmentation using Aruba's Role-Based Access Control (RBAC); availability technologies such as Multiple Spanning Tree Protocol (MSTP); link aggregation techniques including Link Aggregation Control Protocol (LACP) and switch virtualization with Aruba?s Virtual Switching Framework (VSF). Static and dynamic IP routing protocols such as Open Shortest Path First (OSPF) are also covered. Network Fundamentals What is a network? What is a Protocol? OSI Reference Model Encapsulation, frames, packets, segments Layer 2 to Layer 7 headers Media, cabling, Ethernet/wifi headers Binary/Hex/Decimal theory and conversion TCP/IP Stack (IP addressing & Transport Protocols TCP/UDP) Types of traffic: Unicast, Broadcast, Multicast TCP/IP Stack Overview Ethernet frames IPv4 Header TCP Header ? Three-way Handshake TCP Header ? Sequence Numbers TCP Header ? Port Numbers TCP Header UPD Header Basic Networking with Aruba Solutions Networking devices: Switches, Routers, Multilayer Switches, APs, Mobility Controllers, Firewalls, Servers (HTTP, DHCP, DNS, Telnet, FTP) 2-Tier vs 3-Tier hierarchy Switching Portfolio (AOS switches & AOS-CX switches) is this introducing both portfolio on a couple of slide and few slides on AOS-CX hardware architecture, software architecture and intro to NAE high level. Introduction to AOS-CX and feature set Port numbering Accessing Aruba OS-CX CLI Prompt modes/levels and navigation Context sensitive help Show logs, configuration, interfaces, transceivers, flash, version Hostname/interface name, enabling interfaces Link Layer Discovery Protocol ICMP and reachability testing tools: Ping and Traceroute PoE (standards one slide and what we support and one or two slide on configuration and verifications.) VLANs Broadcast/collision domains VLAN benefits VLAN creation DHCP server configuration in switches (optional) 802.1Q tagging Switchports vs. Routed ports MAC address table ARP table Packet Delivery part 1 Spanning Tree Protocol Redundant network L2 loops 802.1D Common Spanning Tree 802.1s 802.1w overview 802.1w load balancing 802.1w region configuration Link Aggregation Static Aggregation LACP Load Balancing IP Routing - Part 1 Default Gateway DHCP IP Helper Address IP Routing Service Inter-VLAN routing Packet Delivery Part 2 Need for layer 3 redundancy Introduction to VRF VRRP VRRP overview VRRP basic operation VRRP failover and preempt VRRP and MSTP coordination IP Routing - Part 2 Subnetting CIDR Static routes Administrative Distance Floating routes Scalability issues IP Routing - Part 3 IGP vs EGP Distance Vector vs Link State OSPF Router-ID and Hello Messages Passive interfaces States DR and BDR LSDB: LSA 1 and 2 Path selection and convergence Using cost to manipulate routes Stacking Control Plane, Management Plane, and Data Plane Introduction to Stacking technologies Stacking Benefits Centralized control and management plane Distributed Data Plane and Distributed Link Aggregation VSF VSF requirements VSF Link and member roles VSF member IDs and port numbers VSF Configuration VSF Provisioning use cases Tracing Layer 2 traffic: Unicast Tracing Layer 2 traffic: Broadcast, Multicast, and Unknown Unicast VSF Failover and OSFP Graceful-Restart VSF Link failure without MAD MAD VSX Introduction Secure Management and Maintenance OOBM port Management VRF Secure Management Protocols: AAA, SSH, HTTPS, RBAC Radius-based management auth (VSA) SNMP Web interface Configuration file management (Backup, restore, checkpoint and roll back) Operating System image management (backup and restore) Factory default/password recovery AOS-CX Management tools Intro to NetEdit NetEdit installation Basic monitoring with NetEdit AOS-CX Mobile App Additional course details: Nexus Humans Aruba OS-CX Switching Fundamentals, Rev. 20.21 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 Aruba OS-CX Switching Fundamentals, Rev. 20.21 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.

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.