323 Courses in London

ITIL® 4 Leader: Digital and IT Strategy The ITIL® 4 Leader: Digital and IT Strategy (DITS) is one of the two modules in the ITIL® 4 Strategic Leader (SL) certification scheme. The other module in the SL designation is the ITIL® 4 Strategist: Direct, Plan & Improve. Accredited training for the ITIL® 4 Strategic Leader modules is mandatory to enable full understanding of the core material. The ITIL ® 4 Digital and IT Strategy certification focuses on enabling business success through the creation of digital and IT strategies. The IT and Digital Strategy certification adds a new perspective to the ITIL suite and elevates the discussion around ITIL concepts to a strategic level among business leaders and aspiring leaders. The ITIL® 4 Digital and IT Strategy course is based on the ITIL® 4 Digital and IT Strategy exam specification from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, you will acquire relevant knowledge to pass the certification exam. The core learning material in the course is supported by interactive case study, discussions and activities. What You Will Learn The ITIL ® 4 Digital and IT Strategy course covers the content in relation to the following learning outcomes of the exam specification for ITIL ® 4 Digital and IT Strategy: Demonstrate the use of the ITIL guiding principles in Digital and IT Strategy decisions and activities Understand how to leverage digital strategy to react to digital disruption Understand the relationship between the concepts of Digital and IT Strategy, the service value system and the service value chain, and explain how to utilize them to create value Understand how an organization uses Digital and IT Strategy to remain viable in environments disrupted by digital technology Understand strategic approaches made possible by digital and information technology to achieve customer/market relevance and operational excellence Understand the risks and opportunities of Digital and IT Strategy Understand the steps and techniques involved in defining and advocating for a Digital and IT Strategy Understand how to implement a Digital and IT Strategy Key Concepts of Digital and IT Strategy Digital, Information, and Communication Technology Digital Transformation Services, Products, and Competitive Advantage Tiers of Strategy Business Models Operating Models Strategy and the Service Value System Opportunity and Demand Value Governance ITIL® Guiding Principles Continual Improvement ITIL® Practices What is Vision? Disruptions Vision Digital Disruptions Balanced Strategic Focus Positioning Tools for Digital Organizations Assignment 1: Digital Disruption and Digital Positioning Where Are We Now? Environmental Analysis Opportunity Analysis Digital Readiness Assessment How Do We Get There (Strategic Planning) Strategy Planning Financial Aspects of Digital and IT Strategy Business Models for Strategy Planning Portfolio Optimization How Do We Get There (Strategic Approaches) Strategic Approaches for Digital Organizations Strategic Approaches for Operational Excellence Strategic Approaches to Evolution Strategic Approaches to Social Responsibility and Sustainability Assignment 2: Strategic Approaches for Digital Organizations Take Action (Managing Strategic Initiatives) How Strategies are Implemented Coordinating Strategy and Strategic Initiatives Leading Digital Transformation Digital Leadership Assignment 3: Strategy Planning and Communication Did We Get There? (Measuring Strategy) Key Facts About Measurement Measuring a Strategy Instrumenting Strategy How Do We Keep the Momentum Going Long-Term Momentum: Ensuring Organizational Viability Short-Term Momentum: Parallel Operation Assignment: Digital Strategy in VUCA Environment Managing Innovation and Emerging Technologies Managing Innovation Formal Approach to Innovation Management Culture that Supports Innovation Approaches to Innovation Evaluating and Adopting Emerging Technology Managing Strategic Risk Risk Management Risk Identification Risk Posture Risk Treatment

XSLT training course description This course has been designed as a follow on course for the XML primer course. The course looks at the use of XSLT in the transforming and styling XML documents. What will you learn Transform and style XML documents using XSLT. XSLT training course details Who will benefit: Anyone working with XSLT. Prerequisites: XML primer Duration 2 days XSLT training course contents Introduction Extensible Stylesheet Language (XSL), transforming and formatting XML. XML refresher The basic rules for building an XML document. An introduction to XSLT The basic concepts of XSLT, xsl:output, xsl:template, xsl:value-of. XML documents as trees How the original XML is transformed into a set of nodes, the general terms for manipulating node trees. Paths (XPath) Use of path matching to select required nodes for transformation. Using templates xsl:apply-templates, xsl:template match, nested templates, xsl:copy , <comment> and <element> , default templates, parameters. Control xsl:if, xsl:choose, xsl:for-each, xsl:sort. Constructing the result tree xsl:output, xsl:attribute, xsl:attribute-set, xsl:comment, xsl:processing-instruction, xsl:text, xsl:value-of, xsl:variable. Combining templates xsl:include, xsl:import, xsl:apply-imports. Transforming to text

AgileSHIFT® AgileSHIFT® is the change your organization needs: the business landscape is changing and transformation is necessary. But it is also hard. This program is aimed to drive transformational change throughout an organization. This new enterprise agility guidance empowers individuals to use a lightweight tailorable framework to understand, engage with, and champion change by embracing agile and lean ways of working. Taking a holistic view of an organization, AgileSHIFT® will create and support the champions of change your business needs in order to thrive in an increasingly competitive and disruptive workplace. What You Will Learn At the end of this program you will be able to: Identify why organizations need to create a culture of enterprise agility in response to a changing context Recognize how to think and work differently to enable change Explore agile and lean thinking concepts and how they relate to running and changing your organization Utilize key concepts of the AgileSHIFT® framework Describe the AgileSHIFT® delivery approach Getting Started A changing context Enterprise agility The Purpose of AgileSHIFT® The AgileSHIFT® Framework AgileSHIFT® principles AgileSHIFT® practices AgileSHIFT® roles AgileSHIFT® workflow Benefits of AXELOS.com Summary and Next Steps

AgileSHIFT®: In-House Training AgileSHIFT® is the change your organization needs: the business landscape is changing and transformation is necessary. But it is also hard. This program is aimed to drive transformational change throughout an organization. This new enterprise agility guidance empowers individuals to use a lightweight tailorable framework to understand, engage with, and champion change by embracing agile and lean ways of working. Taking a holistic view of an organization, AgileSHIFT® will create and support the champions of change your business needs in order to thrive in an increasingly competitive and disruptive workplace. What You Will Learn At the end of this program you will be able to: Identify why organizations need to create a culture of enterprise agility in response to a changing context Recognize how to think and work differently to enable change Explore agile and lean thinking concepts and how they relate to running and changing your organization Utilize key concepts of the AgileSHIFT® framework Describe the AgileSHIFT® delivery approach Getting Started A changing context Enterprise agility The Purpose of AgileSHIFT® The AgileSHIFT® Framework AgileSHIFT® principles AgileSHIFT® practices AgileSHIFT® roles AgileSHIFT® workflow Benefits of AXELOS.com Summary and Next Steps

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Leading SAFe®: In-House Training During this course, attendees gain the knowledge necessary to lead a Lean-Agile enterprise by using the Scaled Agile Framework® (SAFe®) and its underlying principles derived from Lean, systems thinking, Agile development, product development flow, and DevOps. Participants in the class gain insights into mastering business agility to thrive in competitive markets. They discuss how to establish team and technical agility and organize and re-organize around the flow of value. Attendees also learn and practice the skills to support and execute PI Planning events and coordinate multiple Agile Release Trains (ARTs). Class participants will explore the importance of adopting a customer-centric mindset and Design-Thinking approach to Agile Product Delivery. Learners will also understand how to implement a Lean Portfolio Management function within their enterprise. What you will Learn After attending this class, attendees should be able to: Lead the transformation to business agility with SAFe® Become a Lean-Agile leader Understand customer needs Design Thinking Enable Agile Product delivery Implement Lean Portfolio Management Thrive in the digital age with business agility Become a Lean-Agile leader Establish Team and Technical Agility Build solutions with Agile Product Delivery Explore Lean Portfolio Management Lead the change Become a Certified SAFe® Agilist

Leading SAFe® During this course, attendees gain the knowledge necessary to lead a Lean-Agile enterprise by using the Scaled Agile Framework® (SAFe®) and its underlying principles derived from Lean, systems thinking, Agile development, product development flow, and DevOps. Participants in the class gain insights into mastering business agility to thrive in competitive markets. They discuss how to establish team and technical agility and organize and re-organize around the flow of value. Attendees also learn and practice the skills to support and execute PI Planning events and coordinate multiple Agile Release Trains (ARTs). Class participants will explore the importance of adopting a customer-centric mindset and Design-Thinking approach to Agile Product Delivery. Learners will also understand how to implement a Lean Portfolio Management function within their enterprise. What you will Learn After attending this class, attendees should be able to: Lead the transformation to business agility with SAFe® Become a Lean-Agile leader Understand customer needs Design Thinking Enable Agile Product delivery Implement Lean Portfolio Management Thrive in the digital age with business agility Become a Lean-Agile leader Establish Team and Technical Agility Build solutions with Agile Product Delivery Explore Lean Portfolio Management Lead the change Become a Certified SAFe® Agilist

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SAFe® DevOps This course provides a comprehensive overview for understanding the DevOps skills needed to accelerate time-to-market by improving the flow of value through the Continuous Delivery Pipeline. You will map the current value stream through the delivery pipeline from idea to cash and identify practices that will eliminate bottlenecks to flow. The course will build an understanding of the complete flow of value from Continuous Exploration to Continuous Integration, Continuous Deployment, and Release on Demand. What you will Learn After attending the class, attendees should be able to: Explain how DevOps enables strategic business objectives Apply a CALMR approach to DevOps to avoid automating broken processes Understand how successful DevOps requires continuous exploration, continuous integration, continuous deployment, and the ability to release to end users on demand Incorporate continuous testing and continuous security into the delivery pipeline Use value-stream mapping to measure flow and identify bottlenecks in the end-to-end delivery process Select DevOps skills and tools strategically for the fastest, most compelling results Prioritize DevOps solutions and investments for the greatest economic benefit Design and implement a multi-phased DevOps transformation plan tailored to their organization Work with all roles and levels in the organization to continually optimize the value stream Introducing DevOps Mapping your Continuous Delivery Pipeline Gaining alignment with Continuous Exploration Building quality with Continuous Integration Reducing time-to-market with Continuous Deployment Delivering Business Value with Release on Demand Taking action