33589 PLA courses

Duration 5 Days 30 CPD hours This course is intended for The Red Hat Enterprise Linux Diagnostics and Troubleshooting course is aimed at senior system administrators who wish to learn more about troubleshooting. Overview As a result of attending this course, students should be able to analyze the operational state of computer systems and identify potential issues. When problems appear, students will be able to successfully resolve the issue, returning it to a secure and stable working condition. Students should be able to demonstrate the following skills: Diagnostic and analysis procedures Preventive maintenance planning and implementation System recovery using proven tools and techniques This course enriches your skills by providing the tools and techniques that you need to successfully diagnose, and fix, a variety of potential issues. You will work through hands-on problems in various subsystems to diagnose and fix common issues.You will learn develop the skills to apply the scientific method to a structured form of troubleshooting. You will then apply this approach in troubleshooting various types of problems, including boot issues, hardware issues, storage issues, RPM issues, network issues, third-party application issues, security issues, and kernel issues. At the end of the course, you will be empowered to complete various comprehensive review labs to test your skills.This course covers the same material as RH342, but includes the Red Hat Certified Specialist in Linux Diagnostics and Troubleshooting exam (EX342) Introduction to troubleshooting Describe a generalized strategy for troubleshooting. Take proactive steps to prevent small issues Prevent small issues from becoming large problems by employing proactive system administration techniques. Troubleshoot boot issues Identify and resolve issues that can affect a system's ability to boot. Identify hardware issues Identify hardware problems that can affect a system?s ability to operate. Troubleshoot storage issues Identify and fix issues related to storage. Troubleshoot RPM issues Identify and fix problems in, and using, the package management subsystem. Troubleshoot network issues Identify and resolve network connectivity issues. Troubleshoot application issues Debug application issues. Deal with security issues Identify and fix issues related to security subsystems. Troubleshoot kernel issues Identify kernel issues and assist Red Hat Support in resolving kernel issues. Red Hat Enterprise Linux Diagnostics and Troubleshooting comprehensive review Practice and demonstrate knowledge and skills learned in Red Hat Enterprise Linux Diagnostics and Troubleshooting. Additional course details: Nexus Humans Red Hat Linux Diagnostics and Troubleshooting with Exam (RH343) 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 Red Hat Linux Diagnostics and Troubleshooting with Exam (RH343) 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 3 Days 18 CPD hours This course is intended for This course is targeted for Juniper Networks system engineers, partner sales engineers (including Champions), and services partners who are interested in learning network design introductory concepts. However, the course is also applicable to a general audience of Juniper customers with a desire to learn more about network design. Overview Provide an overview of network design needs and common business requirements.Describe key product groups related to campus, WAN, data center, and security architectures.Analyze and interpret common RFP requirements.Scope a network design by gathering data and working with key stakeholders.Describe ways of processing customer data and design requests.Identify boundaries and scope for the design proposal.List some considerations when creating a design proposal.Provide an overview of network security design principles and common vulnerabilities.List high-level design considerations and best practices for securing the network.List the components of the campus network design.Describe best practices and design considerations for the campus.Describe architectural design options for the campus.List the components of the WAN.Describe best practices and design considerations for the WAN.Describe design options for the WAN.List the components of the data center design.Describe best practices and design considerations for the data center.Describe architectural design options for the data center.Define business continuity and its importance in a network design.Describe high availability design considerations and best practices.Provide an overview of high availability offerings and solutions.Describe Class of Service design considerations.Provide an overview of environmental considerations in network design.List design considerations and best practices for managing the network.Provide an overview of Juniper Networks and third party options for network management.List design considerations and best practices for network automation.Provide an overview of automation tools.Explain the foundational topics that have been taught throughout the course.Create a network design proposal that satisfies customer requirements and business needs.Provide an overview of the steps involved in migrating a network.Describe best practices used in network migration.List the various campus network topographies.Describe sample design options for the campus. This three-day course is designed to cover best practices, theory, and design principles for overall network design and will serve as the prerequisite course for other design subject areas ƒ?? data center, security, and WAN. Course IntroductionNetwork Design Fundamentals A Need for Design Knowledge is King A Proposed Design Methodology A Reference Network Understanding Customer Requirements RFP Requirements Scoping the Design Project Analyzing the Data Lab: Understanding Customer Requirements Organizing the Data Processing the Data and Requests Understanding Boundaries and Scope Design Proposal Considerations Securing the Network Why Secure the Network? Security Design Considerations Creating the Design Campus The Campus Network: An Overview Best Practices and Considerations Architectural Design Options Lab: Creating the Design Campus Creating the Design Wide Area Network The WAN: An Overview Best Practices and Considerations WAN Design Examples Lab: Creating the Design WAN Creating the Design Data Center The Data Center: An Overview Best Practices and Considerations Data Center Design Examples Lab: Creating the Design Data Center Business Continuity & Network Enhancements Business Continuity Planning High Availability Design Considerations and Best Practices Offerings and Solutions CoS and Traffic Engineering Considerations Environmental Design Network Management Designing for Network Management Automation Designing for Network Automation Lab: Enhancing the Design Putting Network Design Into Practice Network Design Recap Responding to the RFP Final Lab Introduction Lab: Putting Network Design into Practice

Duration 3 Days 18 CPD hours This course is intended for Students in this course are experienced AWS developers interested in Azure development. A three-day course designed to teach AWS (Amazon Web Services) developers how to prepare end-to-end solutions in Microsoft Azure. In this course you will construct Azure App Service Web App solutions and Azure Functions, use blob or Cosmos DB storage in solutions, implement secure cloud solutions that include user authentication and authorization, implement API management, and develop event- and message-based solutions, and monitor, troubleshoot, and optimize your Azure solutions. You will learn how developers use Azure services, with additional focus on features and tasks that differ from AWS, and what that means for you as you develop applications that will be hosted by using Azure services Create Azure App Service Web Apps Azure App Service core concepts Creating an Azure App Service Web App Configuring and Monitoring App Service apps Scaling App Service apps Azure App Service staging environments Implement Azure functions Azure Functions overview Developing Azure Functions Implement Durable Functions Develop solutions that use blob storage Azure Blob storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Create an Azure Resource Manager Template Develop solutions that use Cosmos DB storage Azure Cosmos DB overview Azure Cosmos DB data structure Working with Azure Cosmos DB resources and data Create and deploy ARM templates Implement user authentication and authorization Microsoft Identity Platform v2.0 Authentication using the Microsoft Authentication Library Using Microsoft Graph Authorizing data operations in Azure Storage Implement secure cloud solutions Manage keys, secrets, and certificates by using the KeyVault API Implement Managed Identities for Azure resources Secure app configuration data by using Azure App Configuration Implement API Management API Management overview Defining policies for APIs Securing your APIs Develop event-based solutions Implement solutions that use Azure Event Grid Implement solutions that use Azure Event Hubs Implement solutions that use Azure Notification Hubs Develop message-based solutions Implement solutions that use Azure Service Bus Implement solutions that use Azure Queue Storage queues Monitor and optimize Azure solutions Overview of monitoring in Azure Instrument an app for monitoring Analyzing and troubleshooting apps Implement code that handles transient faults Additional course details: Nexus Humans AZ-020T00 - Microsoft Azure solutions for AWS Developers 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 AZ-020T00 - Microsoft Azure solutions for AWS Developers 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 ECSS is designed for anyone who wants to enhance their skills and make a career in information security, network security, and computer forensics fields. It can be IT Specialists, Network Administrators, or System Administrators. Overview Upon successful completion of this course, students will learn: Key issues plaguing the information security, network security, and computer forensics. Fundamentals of networks and various components of the OSI and TCP/IP model. Various network security protocols. Various types of information security threats and attacks, and their countermeasures. Social engineering techniques, identify theft, and social engineering countermeasures. Different stages of the hacking cycle Identification, authentication, and authorization concepts Different types of cryptography ciphers, Public Key Infrastructure (PKI), cryptography attacks, and cryptanalysis tools. Fundamentals of firewall, techniques for bypassing firewall, and firewall technologies such as Bastion Host, DMZ, Proxy Servers, Network Address Translation, Virtual Private Network, and Honeypot. Fundamentals of IDS and IDS evasion techniques. Data backup techniques and VPN security. Wireless Encryption, wireless threats, wireless hacking tools, and Wi-Fi security. Different types of web server and web application attacks, and countermeasures. Fundamentals of ethical hacking and pen testing. Incident handling and response process. Cyber-crime and computer forensics investigation methodology. Different types of digital evidence and digital evidence examination process. Different type of file systems and their comparison (based on limit and features). Gathering volatile and non-volatile information from Windows and network forensics analysis mechanism. Steganography and its techniques. Different types of log capturing, time synchronization, and log capturing tools. E-mails tracking and e-mail crimes investigation. Writing investigation report. This is an entry-level security program covering the fundamental concepts and giving a holistic overview of the key components of information security, computer forensics, and network security. Course Outline Information Security Fundamentals Networking Fundamentals Secure Network Protocols Information Security Threats and Attacks Social Engineering Hacking Cycle Identification, Authentication, and Authorization Cryptography Firewalls Intrusion Detection System Data Backup Virtual Private Network Wireless Network Security Web Security Ethical Hacking and Pen Testing Incident Response Computer Forensics Fundamentals Digital Evidence Understanding File Systems Windows Forensics Network Forensics and Investigating Network Traffic Steganography Analyzing Logs E-mail Crime and Computer Forensics Writing Investigative Report Additional course details: Nexus Humans EC-Council Certified Security Specialist (ECSS) 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 EC-Council Certified Security Specialist (ECSS) 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 2 Days 12 CPD hours This course is intended for There is no specific prerequisite for the CDRP© course. However, participants who have at least three years' experience in a data centre and/or IT infrastructures will be best suited. Overview After completion of the course, the participant will be able to: 1. Understand the different standards and methodologies for risk management and assessment 2. Establish the required project team for risk management 3. Perform the risk assessment, identifying current threats, vulnerabilities and the potential impact based on customised threat catalogues 4. Report on the current risk level of the data centre both quantitative and qualitative 5. Anticipate and minimise potential financial impacts 6. Understand the options for handling risk 7. Continuously monitor and review the status of risk present in the data centre 8. Reduce the frequency and magnitude of incidents 9. Detect and respond to events when they occur 10. Meet regulatory and compliance requirements 11. Support certification processes such as ISO/IEC 27001 12. Support overall corporate and IT governance Introduction to Risk Management Risk management concepts Senior management and risk Enterprise Risk Management (ERM) Benefits of risk management Data Centre Risk and Impact Risk in facility, power, cooling, fire suppression, infrastructure and IT services Impact of data centre downtime Main causes of downtime Cost factors in downtime Standards, Guidelines and Methodologies ISO/IEC 27001:2013, ISO/IEC 27005:2011, ISO/IEC 27002:2013 NIST SP 800-30 ISO/IEC 31000:2009 SS507:2008 ANSI/TIA-942 Other methodologies (CRAMM, EBIOS, OCTAVE, etc.) Risk Management Definitions Asset Availability/Confidentiality/Integrity Control Information processing facility Information security Policy Risk Risk analysis/Risk assessment/Risk evaluation/ Risk treatment Threat/Vulnerability Types of risk Risk Assessment Software The need for software Automation Considerations Risk Management Process The risk management process Establishing the context Identification Analysis Evaluation Treatment Communication and consultation Monitoring and review Project Approach Project management principles Project management methods Scope Time Cost Cost estimate methods Context Establishment General considerations Risk evaluation, impact and acceptance criteria Severity rating of impact Occurrence rating of probability Scope and boundaries Scope constraints Roles & responsibilities Training, awareness and competence Risk Assessment - Identification The risk assessment process Identification of assets Identification of threats Identification of existing controls Identification of vulnerabilities Identification of consequences Hands-on exercise: Identification of assets, threats, existing controls, vulnerabilities and consequences Risk Assessment - Analysis and Evaluation Risk estimation Risk estimation methodologies Assessment of consequences Assessment of incident likelihood Level of risk estimation Risk evaluation Hands-on exercise: Assessment of consequences, probability and estimating level of risk Risk Treatment The risk treatment process steps Risk Treatment Plan (RTP) Risk modification Risk retention Risk avoidance Risk sharing Constraints in risk modification Control categories Control examples Cost-benefit analysis Control implementation Residual risk Communication Effective communication of risk management activities Benefits and concerns of communication Risk Monitoring and Review Ongoing monitoring and review Criteria for review Risk scenarios Risk assessment approach Data centre site selection Data centre facility Cloud computing UPS scenarios Force majeure Organisational shortcomings Human failure Technical failure Deliberate acts Exam: Certified Data Centre Risk Professional Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for administrators in a Microsoft-centric environment who want to build reusable units of automation, automate business processes, and enable less-technical colleagues to accomplish administrative tasks. Overview Describe the correct patterns for building modularized tools in Windows PowerShell Build highly modularized functions that comply with native PowerShell patterns Build controller scripts that expose user interfaces and automate business processes Manage data in a variety of formats Write automated tests for tools Debug tools This course covers advanced Windows PowerShell topics, with an emphasis on building reusable tools. Students are introduced to workflow, engage in best practices, and learn a variety of script development and toolmaking techniques. Tool Design Tools do one thing Tools are flexible Tools look native Start with a Command Why start with a command? Discovery and experimentation Build a Basic Function and Module Start with a basic function Create a script module Check prerequisites Run the new command Adding CmdletBinding and Parameterizing About CmdletBinding and common parameters Accepting pipeline input Mandatory-ness Parameter validation Parmeter aliases Emitting Objects as Output Assembling information Constructing and emitting output Quick tests An Interlude: Changing Your Approach Examining a script Critiquing a script Revising the script Using Verbose, Warning, and Informational Output Knowing the six channels Adding verbose and warning output Doing more with verbose output Informational output Comment-Based Help Where to put your help Getting started Going further with comment-based help Broken help Handling Errors Understanding errors and exceptions Bad handling Two reasons for exception handling Handling exceptions in our tool Capturing the actual exception Handling exceptions for non-commands Going further with exception handling Deprecated exception handling Basic Debugging Two kinds of bugs The ultimate goal of debugging Developing assumptions Write-Debug Set-PSBreakpoint The PowerShell ISE Going Deeper with Parameters Parameter positions Validation Multiple parameter sets Value from remaining arguments Help messages Aliases More CmdletBinding Writing Full Help External help Using PlatyPs Supporting online help ?About? topics Making your help updatable Unit Testing Your Code Sketching out the test Making something to test Expanding the test Going further with Pester Extending Output Types Understanding types The Extensible Type System Extending an object Using Update-TypeData Analyzing Your Script Performing a basic analysis Analyzing the analysis Publishing Your Tools Begin with a manifest Publishing to PowerShell Gallery Publishing to private repositories Basic Controllers: Automation Scripts and Menus Building a menu Using UIChoice Writing a process controller Proxy Functions A proxy example Creating the proxy base Modifying the proxy Adding or removing parameters Working with XML Data Simple: CliXML Importing native XML ConvertTo-XML Creating native XML from scratch Working with JSON Data Converting to JSON Converting from JSON Working with SQL Server Data SQL Server terminology and facts Connecting to the server and database Writing a query Running a query Invoke-SqlCmd Thinking about tool design patterns Design tools that use SQL Server for data storage Final Exam Lab problem Break down the problem Do the design Test the commands Code the tool

Duration 3 Days 18 CPD hours This course is intended for Senior Executives CIOs and CTOs Business Intelligence Executives Marketing Executives Data & Business Analytics Specialists Innovation Specialists & Entrepreneurs Academics, and other people interested in Big Data Overview More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection. Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students. Workshop Application Use Cases Oz Metropolitan Architectural questions Team activity: Analyze Metroz Application Use Cases Application Vertical Slice Definition Minimizing risk of an unsound architecture Selecting a vertical slice Team activity: Identify an initial vertical slice for Metroz Application Processing Real time, near real time processing Batch processing Data access patterns Delivery and processing guarantees Machine Learning pipelines Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines Application Data Three V?s of Big Data Data Lifecycle Data Formats Transforming Data Team activity: Metroz Data Requirements Scalable Applications Scale up, scale out, scale to X Determining if an application will scale Poll: scalable airport terminal designs Hadoop and Spark Scalability Team activity: Scaling Metroz Fault Tolerant Distributed Systems Principles Transparency Hardware vs. Software redundancy Tolerating disasters Stateless functional fault tolerance Stateful fault tolerance Replication and group consistency Fault tolerance in Spark and Map Reduce Application tolerance for failures Team activity: Identify Metroz component failures and requirements Security and Privacy Principles Privacy Threats Technologies Team activity: identify threats and security mechanisms in Metroz Deployment Cluster sizing and evolution On-premise vs. Cloud Edge computing Team activity: select deployment for Metroz Technology Selection HDFS HBase Kudu Relational Database Management Systems Map Reduce Spark, including streaming, SparkSQL and SparkML Hive Impala Cloudera Search Data Sets and Formats Team activity: technologies relevant to Metroz Software Architecture Architecture artifacts One platform or multiple, lambda architecture Team activity: produce high level architecture, selected technologies, revisit vertical slice Vertical Slice demonstration Additional course details: Nexus Humans Big Data Architecture Workshop 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 Big Data Architecture Workshop 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 Security administrators Security consultants Network administrators System engineers Technical support personnel Cisco integrators and partners Overview After taking this course, you should be able to: Describe key concepts of NGIPS and NGFW technology and the Cisco Firepower Threat Defense system, and identify deployment scenarios Perform initial Cisco Firepower Threat Defense device configuration and setup tasks Describe how to manage traffic and implement Quality of Service (QoS) using Cisco Firepower Threat Defense Describe how to implement NAT by using Cisco Firepower Threat Defense Perform an initial network discovery, using Cisco Firepower to identify hosts, applications, and services Describe the behavior, usage, and implementation procedure for access control policies Describe the concepts and procedures for implementing security intelligence features This course gives you knowledge and skills to use and configure Cisco© Firepower Threat Defense technology, beginning with initial device setup and configuration and including routing, high availability, Cisco Adaptive Security Appliance (ASA) to Cisco Firepower Threat Defense migration, traffic control, and Network Address Translation (NAT). You will learn how to implement advanced Next-Generation Firewall (NGFW) and Next-Generation Intrusion Prevention System (NGIPS) features, including network intelligence, file type detection, network-based malware detection, and deep packet inspection. You will also learn how to configure site-to-site VPN, remote-access VPN, and Secure Sockets Layer (SSL) decryption before moving on to detailed analysis, system administration, and troubleshooting. Cisco Firepower Threat Defense Overview Examining Firewall and IPS Technology Firepower Threat Defense Features and Components Examining Firepower Platforms Examining Firepower Threat Defense Licensing Cisco Firepower Implementation Use Cases Cisco Firepower NGFW Device Configuration Firepower Threat Defense Device Registration FXOS and Firepower Device Manager Initial Device Setup Managing NGFW Devices Examining Firepower Management Center Policies Examining Objects Examining System Configuration and Health Monitoring Device Management Examining Firepower High Availability Configuring High Availability Cisco ASA to Firepower Migration Migrating from Cisco ASA to Firepower Threat Defense Cisco Firepower NGFW Traffic Control Firepower Threat Defense Packet Processing Implementing QoS Bypassing Traffic Cisco Firepower NGFW Address Translation NAT Basics Implementing NAT NAT Rule Examples Implementing NAT Cisco Firepower Discovery Examining Network Discovery Configuring Network Discovery Implementing Access Control Policies Examining Access Control Policies Examining Access Control Policy Rules and Default Action Implementing Further Inspection Examining Connection Events Access Control Policy Advanced Settings Access Control Policy Considerations Implementing an Access Control Policy Security Intelligence Examining Security Intelligence Examining Security Intelligence Objects Security Intelligence Deployment and Logging Implementing Security Intelligence File Control and Advanced Malware Protection Examining Malware and File Policy Examining Advanced Malware Protection Next-Generation Intrusion Prevention Systems Examining Intrusion Prevention and Snort Rules Examining Variables and Variable Sets Examining Intrusion Policies Site-to-Site VPN Examining IPsec Site-to-Site VPN Configuration Site-to-Site VPN Troubleshooting Implementing Site-to-Site VPN Remote-Access VPN Examining Remote-Access VPN Examining Public-Key Cryptography and Certificates Examining Certificate Enrollment Remote-Access VPN Configuration Implementing Remote-Access VPN SSL Decryption Examining SSL Decryption Configuring SSL Policies SSL Decryption Best Practices and Monitoring Detailed Analysis Techniques Examining Event Analysis Examining Event Types Examining Contextual Data Examining Analysis Tools Threat Analysis System Administration Managing Updates Examining User Account Management Features Configuring User Accounts System Administration Cisco Firepower Troubleshooting Examining Common Misconfigurations Examining Troubleshooting Commands Firepower Troubleshooting

Duration 2 Days 12 CPD hours This course is intended for The course is designed for individuals who want to gain in-depth knowledge and practice in the discipline of Business Analysis (Business Analysts, Requirements Engineers, Product manager, Product Owner, Chief Product Owner, Service Manager, Service Owner, Project manager, Consultants) Overview Students should be able to demonstrate knowledge and understanding and application of Business Analysis principles and techniques. Key areas are: The breath of the role of a Business Analyst The processes and techniques of strategy analysis Investigation of an organization's business systems Techniques used within stakeholder analysis and the need for analyzing perspectives Conceptual modelling and business activity models Business improvements through gap analysis The Business case within the business change lifecycle The Business Analyst role analyzes, understands and manages the requirements in a customer-supplier relationship and ensures that the right products are delivered.The course provides in-depth knowledge and practice in Business Analysis Course Introduction Let?s Get to Know Each Other Course Overview Course Learning Objectives Course Structure Course Agenda Introduction to Business Analysis Practice Exam Details Business Analysis Certification Scheme Rationale for Business Analysis The role of the BA throughout the stages of the Business change lifecycle The scope of the BA role within the context of the range of analysis activities Three areas of competencies Understanding the Strategic Context Techniques in practice: MOST Resource audit PESTLE Porter's Five Forces SWOT analysis CSF, KPI and Performance target Balanced Business Score Card Understanding the Current Situation Identification of stakeholder categories Identification of relevant investigation techniques The rationale for taking a holistic view Rich pictures, Mind Maps and Fishbone diagrams Stakeholder Analysis and Management Power/interest and level of interest Appropriate stakeholder management strategy Stakeholder perspectives and CATWOE technique Analysing and Modelling Business Activities Conceptual models of a business situation Five types of high level activity Planning activities Enabling activities Doing activities Monitoring and control activities Three types of business events The consensus business activity model Identifying Potential Solutions Different categories of business rules Gap analysis (through conceptual business activity model and as-is business situation) Components of a new business model Building the Business Case Rationale for the development of a business case Contents of a business case Identification of tangible/intangible costs and benefits, risks and impacts Rationale for the financial case and appraisal techniques Business case review in the business change lifecycle Additional course details: Nexus Humans Business Analysis - Practice 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 Business Analysis - Practice 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 2 Days 12 CPD hours This course is intended for People working in an organization aiming to improve performance, especially in response to digital transformation or disruption. Any roles involved in the creation and delivery of products or services: Leadership and CXO, especially CIO, CTO, CPO, and CVO Transformation and evolution leads and change agents Value stream architects, managers, engineers Scrum Masters, agile and DevOps coaches and facilitators Portfolio, product and project managers, and owners Business analysts Architects, developers, and engineers Release and environment managers IT Ops, service and support desk workers Customer experience and success professionals Overview After completing this course, students will be able to: Describe the origins of value stream management and key concepts such as flow, value, and delivery Describe what value stream management is, why it's needed and the business benefits of its practice Describe how lean, agile, DevOps, and ITSM principles contribute to value stream management Identify and describe value streams, where they start and end, and how they interconnect Identify value stream roles and responsibilities Express value streams visually using mapping techniques, define current and target states and hypothesis backlog Write value stream flow and realization optimization hypotheses and experiments Apply metrics such as touch/processing time, wait/idle time, and cycle time to value streams Understand flow metrics and how to access the data to support data-driven conversations and decisions Examine value realization metrics and aligning to business outcomes, and how to sense and respond to them (outcomes versus outputs) Architect a DevOps toolchain alongside a value stream and data connection points Design a continuous inspection and adaptation approach for organizational evolution The Value Stream Management Foundation course from Value Stream Management Consortium, and offered in partnership with DevOps Institute, is an introductory course taking learners through a value stream management implementation journey. It considers the human, process, and technology aspects of this way of working and explores how optimizing value streams for flow and realization positively impacts organizational performance. History and Evolution of Value Stream Management and its Application Value stream management?s origins Definitions of value stream management Flow Lean and systems thinking and practices Agile, DevOps and other frameworks Research and analysis Identifying Value Streams What is a value stream? Identifying value streams Choosing a value stream Digital value streams Value stream thinking Mapping Value Streams Types of maps Value stream mapping The fuzzy front end Artifacts 10 steps to value stream mapping Mapping and management VSM investment case Limitations of value stream mapping Connecting DevOps Toolchains CICD and the DevOps toolchain Value stream management processes Value stream management platforms DevOps tool categories Building an end-to-end DevOps toolchain Common data model and tools integrations Value Stream Metrics The duality of VSM Downtime in technology Lean, DORA and Flow metrics Definition of Done Value metrics Benefits hypotheses Value streams as profit centers KPIs and OKRs Inspecting the Value Stream 3 Pillars of Empiricism Organizational performance Visibility When to inspect Data and discovery Insights and trends Organizing as Value Streams Value stream alignment Team types and topologies Project to product Hierarchy to autonomy Target Operating Model Value stream people Value stream roles Value stream funding Evolving Value Streams Why now? Transitions VSM capability matrix VSM culture iceberg Learning Making local discoveries global improvements Managing value stream interdependencies