49 Courses in London

Project Management Fundamentals for IT Projects A number of factors impact the new project manager's role within IT - for instance, the need to fully integrate IT into the business improvement process and the advent of distributed technology and Business Process Reengineering. As a result, the range of activities required of a new project manager has greatly increased, as well as the range of people with whom he or she interacts. This workshop enables you to minimize the problems inherent in managing a systems development project. What You Will Learn You'll learn how to: Articulate the benefit of using a project management methodology, processes, and various life cycles for IT projects Articulate on various standards and maturity models that provide benefits to performing organizations that manage IT projects Describe governance, gating, and the processes required for project origination Conduct a stakeholder analysis and describe its benefits throughout the project life cycle Gather good requirements, develop a work breakdown structure (WBS), and establish a baseline project plan Execute against the baseline project plan while managing change and configuration items Monitor and control the project activities using the baseline project plan and earned value management concepts Close the project by conducting scope verification, procurement audits, gathering lessons learned, archiving project records, and releasing resources Getting Started Course goal Course structure Course goals and objectives Foundation Concepts Key definitions and concepts Methodologies, processes, and project life cycles Project success factors and the benefits of standards and models Project Originating and Initiating Originating projects Initiating projects Planning Stakeholder Engagement and Resource Management Planning stakeholder engagement Planning human resources management Developing effective leadership skills Planning Scope and Quality Management Planning project scope Planning project quality Planning Schedule Management Planning project time Identifying schedule activities Sequencing schedule activities Estimating activity resources and time Developing project schedule Optimizing the project schedule Planning Risk and Cost Management Planning for project risks Planning project costs Estimating project costs Developing a project budget Planning Communication and Procurement Management Planning project communications Planning project procurements Project Executing, Monitoring and Controlling, and Closing Project executing Project monitoring and controlling Project closing

Project Management Fundamentals for IT Projects: In-House Training A number of factors impact the new project manager's role within IT - for instance, the need to fully integrate IT into the business improvement process and the advent of distributed technology and Business Process Reengineering. As a result, the range of activities required of a new project manager has greatly increased, as well as the range of people with whom he or she interacts. This workshop enables you to minimize the problems inherent in managing a systems development project. What You Will Learn You'll learn how to: Articulate the benefit of using a project management methodology, processes, and various life cycles for IT projects Articulate on various standards and maturity models that provide benefits to performing organizations that manage IT projects Describe governance, gating, and the processes required for project origination Conduct a stakeholder analysis and describe its benefits throughout the project life cycle Gather good requirements, develop a work breakdown structure (WBS), and establish a baseline project plan Execute against the baseline project plan while managing change and configuration items Monitor and control the project activities using the baseline project plan and earned value management concepts Close the project by conducting scope verification, procurement audits, gathering lessons learned, archiving project records, and releasing resources Getting Started Course goal Course structure Course goals and objectives Foundation Concepts Key definitions and concepts Methodologies, processes, and project life cycles Project success factors and the benefits of standards and models Project Originating and Initiating Originating projects Initiating projects Planning Stakeholder Engagement and Resource Management Planning stakeholder engagement Planning human resources management Developing effective leadership skills Planning Scope and Quality Management Planning project scope Planning project quality Planning Schedule Management Planning project time Identifying schedule activities Sequencing schedule activities Estimating activity resources and time Developing project schedule Optimizing the project schedule Planning Risk and Cost Management Planning for project risks Planning project costs Estimating project costs Developing a project budget Planning Communication and Procurement Management Planning project communications Planning project procurements Project Executing, Monitoring and Controlling, and Closing Project executing Project monitoring and controlling Project closing

The Art of Negotiation: In-House Training Confidence, rapport, curiosity, and patience are essential ingredients to successfully handling a difficult conversation and negotiation. In this course, you will learn to identify and manage aspects of a negotiation, distinguish needs from wants, and manage expectations. The course will cover communication best practices, strategies for handling difficult conversations, and the basics of the art of negotiation. What you Will Learn Master the different ways to say 'no' Determine negotiation strategies based on typical client strategies Develop solutions to break deadlocks Getting Started Introductions Course structure Course goals and objectives Establishing personal learning objectives Foundation Concepts Exercise: Most Challenging Scenarios and Outcomes Debrief: Impact versus intent Addressing customer expectations Needs versus wants Key skills for managing customer relationships Elicitation (requirements gathering) Communication and active listening Sensitivity and empathy Handling Difficult Conversations Saying 'no' The Ladder of Inference 4-Step approach for handling difficult conversations Characteristics of a trusted advisor Communication Best Practices Attunement and active listening Exercise: Identifying Effective Techniques Communication pitfalls and best practices Building rapport and influence Words of wisdom Exercise: Reflection on Challenges Negotiation Strategies Negotiation basics Five phases of negotiation Identifying different strategies Traditional versus Progressive Hard - Soft - Principled Exercise: Your Preferred Techniques Selecting appropriate strategy for project negotiations Common pitfalls to avoid The impact of culture on negotiation Looking at conflict through the lens of negotiation Exercise: Mapping a Resolution

The Art of Negotiation (In-Person) Confidence, rapport, curiosity, and patience are essential ingredients to successfully handling a difficult conversation and negotiation. In this course, you will learn to identify and manage aspects of a negotiation, distinguish needs from wants, and manage expectations. The course will cover communication best practices, strategies for handling difficult conversations, and the basics of the art of negotiation. What You Will Learn You'll learn how to: Master the different ways to say 'no' Determine negotiation strategies based on typical client strategies Develop solutions to break deadlocks Getting Started Introductions Course structure Course goals and objectives Establishing personal learning objectives Foundation Concepts Exercise: Most Challenging Scenarios and Outcomes Debrief: Impact versus intent Addressing customer expectations Needs versus wants Key skills for managing customer relationships o Elicitation (requirements gathering) o Communication and active listening o Sensitivity and empathy Handling Difficult Conversations Saying 'no' The Ladder of Inference 4-Step approach for handling difficult conversations Characteristics of a trusted advisor Communication Best Practices Attunement and active listening Exercise: Identifying Effective Techniques Communication pitfalls and best practices Building rapport and influence Words of wisdom Exercise: Reflection on Challenges Negotiation Strategies Negotiation basics Five phases of negotiation Identifying different strategies o Traditional versus Progressive o Hard - Soft - Principled o Exercise: Your Preferred Techniques Selecting appropriate strategy for project negotiations o Common pitfalls to avoid o The impact of culture on negotiation Looking at conflict through the lens of negotiation Exercise: Mapping a Resolution

Estimating for Business Analysts: In-House Training A business analyst does not have authority to estimate the project and will not be held responsible for the project staying within the proposed budget; however, the business analyst does participate in various planning exercises with the project team. Many times the business analyst is on his or her own, required to provide estimates of how long it will take to perform their tasks. This course acquaints you with the basics of estimating from the point of view of the business analyst, emphasizing time estimates for the work. It also covers some of the product cost estimates that a business analyst may have to provide when the business is performing a cost/benefit analysis for the project. What you will Learn You'll learn how to: Translate business needs and requirements into estimates Estimate durations using a variety of techniques Negotiate differences in estimates Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The importance of estimating to a business analyst The good and bad of estimating The project context The meaning of good estimating Focuses of estimating Characteristics of a good estimate Estimating the Time Requirements Applicable BABOK® Knowledge Areas Business Analysis Planning and Monitoring Elicitation and Collaboration Estimating the elicitation Information Gathering Plan Relative times for elicitation activities Planning and estimating the business analysis approach and activities Planning the business analysis activities Impact of process Estimating the Product Estimating the value of the product Business analyst's role Defining and determining value Function and use case points Agile estimating Planning Poker Other agile estimating techniques Negotiating estimates Negotiation techniques Negotiation approaches Summary What did we learn, and how can we implement this in our work environment?

Estimating for Business Analysts A business analyst does not have authority to estimate the project and will not be held responsible for the project staying within the proposed budget; however, the business analyst does participate in various planning exercises with the project team. Many times the business analyst is on his or her own, required to provide estimates of how long it will take to perform their tasks. This course acquaints you with the basics of estimating from the point of view of the business analyst, emphasizing time estimates for the work. It also covers some of the product cost estimates that a business analyst may have to provide when the business is performing a cost/benefit analysis for the project. What you will Learn You'll learn how to: Translate business needs and requirements into estimates Estimate durations using a variety of techniques Negotiate differences in estimates Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The importance of estimating to a business analyst The good and bad of estimating The project context The meaning of good estimating Focuses of estimating Characteristics of a good estimate Estimating the Time Requirements Applicable BABOK® Knowledge Areas Business Analysis Planning and Monitoring Elicitation and Collaboration Estimating the elicitation Information Gathering Plan Relative times for elicitation activities Planning and estimating the business analysis approach and activities Planning the business analysis activities Impact of process Estimating the Product Estimating the value of the product Business analyst's role Defining and determining value Function and use case points Agile estimating Planning Poker Other agile estimating techniques Negotiating estimates Negotiation techniques Negotiation approaches Summary What did we learn, and how can we implement this in our work environment?

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

BGP training course description A detailed study of BGP, from the basics of how it works through to advanced issues such as route reflectors, policy, filtering, route selection and routing registries. The course culminates with a study of an industrial strength BGP template illustrating important issues such as bogon filtering. Practical hands on with routers follow the major sessions to reinforce the theory. A multiple choice exam, leading to the LAIT III certification, is available after the course. The exam consists of 60 questions and lasts 2 hours. What will you learn Connect enterprises to the Internet, and ISPs to each other. Describe how BGP works. List, describe and configure the main BGP attributes. Implement and troubleshoot BGP. Work with route aggregation and calculate CIDR prefixes in seconds. Influence traffic paths with BGP. BGP training course details Who will benefit: Anyone who will be working with BGP. Prerequisites: TCP/IP Foundation for engineers Definitive IP routing for engineers. Duration 5 days BGP training course contents Basic BGP IGPs, EGPs, What's BGP? BGP RIB, in/out process, tables peers, adding routes. Hands on Simple configuration and troubleshooting. The Internet and peering ASs, AS numbers, Internet structure, ISP types, ISP network design, IXs, peering vs. transit, public/ private peering, bi/multi-lateral peering. Hands on AS information gathering. How BGP works Incremental updates, Path vector protocols, BGP protocol stack, the BGP header, message types, NLRI, withdrawn routes, route refresh, route dampening. Hands on More troubleshooting, packet analysis. MBGP and IPv6 Multiprotocol routing, AFI, SAFI, MBGP and multicasts, IPv6, MPLS VPNs. Hands on IPv6 BGPv4 aggregation CIDR, benefits, techniques, shortcuts, configuring BGP aggregation, leaking routes. Hands on Reducing routing table size. BGP path selection BGP attributes, attribute types, route selection order, Local preference, AS prepend, MEDs. Hands on Influencing traffic with BGP. BGP routing policies What is policy? Examples, route filtering, AS filtering, REs, applying preference selectively, peer groups. Hands on Sophisticated policies. RIPE and routing registries RIRs, Allocations, assignments, PI vs. PA. Objects, RPSL, routing registry, Hands on The RIPE database. Automating BGP configuration Automation tools, whois, IRRToolSet, Bogon lists, tracking bogon lists, HTTP, Peering, routing registries, DNS. Communities What is a community? Community names, communities for: peer types and geography. RFC 1998, default communities. Hands on Setting local preference on other routers. Route servers What are route servers? LINX route servers, route server policy control, What are route collectors, Looking glasses. Hands on Setting up and working with a route server. Peer relationships IBGP, EBGP, next hop self, advertising routes into/out of BGP, synchronisation. Hands on IBGP, troubleshooting a large BGP network. Route reflectors and confederations Full mesh IBGP, Route reflectors, RR configuration and design, confederations, migration issues. Hands on RR configuration. BGP architectures Stub vs. transit AS, when to use BGP, multihoming strategies and issues, default routes. Multihop EBGP, load balancing. Hands on Multihoming. BGP security RFC 7454, security steps, BGP TTL security, filters, RPKI, ROAs, rsync, rrdp, validators. A secure BGP template. Hands on RPKI prefix validation.

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence