1129 Disc courses in London

Course Information Our comprehensive course is used as a gateway to those stepping into the world of auditing clinical studies. Tailored for those already acquainted with Good Clinical Practice (GCP) and those transitioning from other audit disciplines, this programme stands as a pivotal guide. Pre-existing knowledge of GCP will significantly enhance your learning experience in auditing against these guidelines. How is this course run? Engage in immersive workshops providing hands-on practice with auditing techniques in a GCP context. Our seasoned tutors, boasting extensive audit experience, intertwine theory with practical insights drawn from their own professional journeys. What will I learn? A comprehensive understanding of the historical backdrop and objectives driving Good Clinical Practice, incorporating the latest industry developments Solid grounding in quality assurance activities aligned with regulatory standards Insight into potential pitfalls within clinical trials and the pivotal role of auditors in addressing these issues Clarity on the roles and responsibilities inherent to clinical trials auditing Exposure to a diverse range of audit techniques complemented by illustrative examples and supportive documents A nuanced understanding of regulatory inspectors' activities Expanded professional networks to propel your auditing career forward. Benefits include: A clear understanding of the role of the auditor under Good Clinical Practice improved audits Improved Good Clinical Practice compliance for your clinical trials. This course is structured to encourage delegates to: Discuss and develop ideas Solve specific problems Examine particular aspects of Good Clinical Practice. Tutors Tutors will be comprised of (click the photos for biographies): Rosemarie Corrigan EVP Global Quality, Worldwide Clinical Trials Cathy Dove Director and Owner, Dove Quality Solutions Julie Kelly Associate Director, Clinical Quality Assurance, Corcept Therapeutics Susana Tavares Director of Research Quality Assurance, - Programme Please note timings may be subject to alteration. Day 1 12:30 Registration 13:00 Welcome and Objectives for the first day of the course 13:30 Laying the Foundations Introduction to the clinical development process, the concepts of quality assurance, quality control and audit. 14:30 Break 15:00 Patient Protection Requirements for informed consent and ethics committee. Access to source documentation. Including a patient protection exercise. 16:05 Workshop 1 - Case Study on Informed Consent 16:45 End of Day Questions and Answers 17:00 Close of Day Day 2 08:50 Questions and Answers from Day 1 09:00 Effective Site Audits The procedures involved in selecting and setting up audits at investigator sites. 09:40 Workshop 1 - Planning the Effective Audit 10:30 Break 10:45 Source Data Verification The need for and purpose of verifying data. 11:25 Workshop 2 - Source Data Verification 12:30 Lunch 13:30 IMP Management The requirements surrounding the distribution of investigational medicinal products. Accountability from release to destruction. 14:15 Critical Document Audits The conduct of other study specific audits including protocols, databases and reports. 15:00 Break 15:15 Non-compliance Determining the acceptability of data. 16:00 Fraud - Fact or Fiction? How to identify fraud and its consequences 16:45 End of Day Questions and Answers 17:00 Close of Day Day 3 08:50 Questions and Answers from Days 1 and 2 09:00 Auditing Third Parties A review of audits of contract research organisations. 10:00 System Audits The concept of auditing processes across many clinical trials, including a practical exercise in process mapping. 10:45 Break 11:00 Workshop 3 - Process Mapping 11:45 Effective Audits Where theory meets reality. 12:30 Lunch 13:20 Audit Reports - Closing the Loop An examination of the processes which follow the evidence gathering phase of the audit. 14:20 Workshop 4 - Audit Reports Audit reports, corrective and preventive action. 15:00 Break 15:10 Regulatory Inspection Auditors and regulatory inspections -how the QA team can help the organisation to perform during a regulatory inspection. 15:55 Final Questions and Answers 16:10 Close of Course Extra Information Face-to-face course Course Material Course material will be available in PDF format for delegates attending this course. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course. The material will be emailed in advance of the course and RQA will not be providing any printed copies of the course notes during the training itself. Delegates wishing to have a hard copy of the notes should print these in advance to bring with them. Alternatively delegates are welcome to bring along their own portable devices to view the material during the training sessions. Remote course Course Material This course will be run completely online. You will receive an email with a link to our online system, which will house your licensed course materials and access to the remote event. Please note this course will run in UK timezone. The advantages of this include: Ability for delegates to keep material on a mobile device Ability to review material at any time pre and post course Environmental benefits – less paper being used per course Access to an online course group to enhance networking. You will need a stable internet connection, a microphone and a webcam. CPD Points 17 Points Development Level Develop

Leadership and Management development, Leadership training, management training, Leadership development

The Gold Card Training Programme is the most comprehensive electrician course available. We offer weekday, weekend and evening delivery options. JIB ECS (Gold) Card is quickly becoming a necessity when seeking work on commercial sites, or sub-contracting to larger contractors.

The shortage of electricians has lead to an increased demand nationwide and in turn a sharp rise in salary. Our training solutions can help you gain nationally recognised qualifications such as City & Guilds and NVQ. Not only you will train in state-of-the-art training centres, but you can also have the opportunity to attain the Work Based Performance Units and complete a portfolio of diverse evidence of onsite work.

About this Training Course Reservoir engineering methods, data and models are used in the E&P business to describe and optimise hydrocarbon recovery. This 5 full-day course addresses reservoir engineering concepts and methods to enable cross-disciplinary team work and the smooth exchange of ideas and experience. In this course, participants will gain an in-depth understanding of the fundamentals of reservoir engineering and a broad range of modern reservoir engineering principles and practices for reservoir development and production, including the estimation of oil and gas reserves. The topics covered in this course will be illustrated with practical and actual field cases. Some self-study or reading will be required from participants. Training Objectives By the end of this course, participants will be able to: Describe use of permeability and fluid saturation in reservoir engineering. Explain the assessment of hydrocarbon resources and recoverable reserves estimation. Understand analysis and modelling of fluid behaviour. Explain oil and gas reservoir performance. Describe material balance methods in oil and gas reservoirs. Understand design and analysis of well tests. Understand analysis and production of producing wells and forecasting methods. Describe fluid displacement at the pore and reservoir scale. Explain reservoir simulation approaches. Describe tools for handling the uncertainty in reservoir analysis. Describe various recovery methods from primary to enhanced recovery. Target Audience This course is intended for professionals with prior technical or engineering exposure to exploration and production activities. Targeted participants include geoscientists, production engineers, petrophysicists and petroleum engineers involved with exploration and development of oil & gas reservoirs. The course will also benefit petroleum engineering team leaders as well as IT staff and support staff who work with reservoir engineering, development and production departments. Course Level Basic or Foundation Trainer Your expert course leader is an independent Reservoir Engineering Consultant, providing project consultancy and reservoir engineering training for global customers. He retired from Shell in 2012 and during the last years of his Shell career, he held the Senior Reserves Consultant for the Middle East and Reservoir Engineering Discipline Lead positions. He is a seasoned Petroleum Engineering professional, with global experience in Shell companies and joint ventures (NAM, SSB, SCL, PDO, SKDBV). His technical expertise is in reserves and resource management, reservoir engineering quality assurance, and staff development as well as carbonate reservoirs, modelling and reservoir simulation.  PROFESSIONAL EXPERIENCE 2012 to date Independent Reservoir Engineering Consultant Petroleum and reservoir engineering advice, training and services. Reservoir engineering training for major oil companies, engineering firms and other global customers. Assurance of SPE and SEC reserves compliance. Participation in SPE reserves and resources estimation Advanced Technology Workshops both as an organising committee member and as session speaker.   2008 - 2012 Shell International E&P, the Hague, the Netherlands Senior Reserves Consultant for Shell business units and joint ventures in the Middle East Region Assurance of SEC and SPE compliance of reserves and resources. Industry publications and conference contributions a.o. SPE guidelines on probabilistic reserves estimation.   2006 - 2008 Shell E&P Technology Solutions, Rijswijk, the Netherlands Reservoir Engineering Discipline Lead Responsible for Reservoir Engineering in global projects and for staff planning and development (over 60 international Reservoir Engineers).   2001 - 2005 Centre for Carbonate Studies, SQU, Oman / Shell International E&P Applications and Research / Shell Representative Office Oman   Petroleum Engineering Manager PE Manager in the Carbonate Research Centre, a joint venture between Sultan Qaboos University in Oman and Shell International. Industrial research projects and teaching on recovery aspects of carbonate reservoir development.   1997 - 2000 Shell International E&P, Rijswijk, the Netherlands Principal Reservoir Engineer Coordination of the NOV subsurface team in Shell Kazakhstan Development BV in 2000. Leading role in Shell Gamechanger project on natural gas hydrates. Acting Shell Group Reserves Co-ordinator in 1997-1998. Facilitation of workshops with government shareholders, including discussions on sensitive reserves issues (BSP Petroleum Unit Brunei, PDO Oman, SPDC government Nigeria).   1992 - 1996 Shell Training Centre, Noordwijkerhout, the Netherlands Reservoir Engineering Programme Training Director Advanced PE training events, QA/QC, design and delivery of courses to Shell staff.   1985 - 1992 Shell International, SIPM, the Hague, The Netherlands Senior Reservoir Engineer Reservoir simulation, integrated reservoir modelling and gas field development and major contributor to the Shell internal Gas Field Planning Tool development. Full field reservoir simulation projects supporting Field Development Plans, operational strategies and unitisation negotiations for Shell Group Operating Companies in the United Kingdom, New Zealand and Egypt.   1984 - 1985 Geological Survey of the Netherlands, Ministry of Economic Affairs Reservoir Engineering Section Head Responsible for Petroleum Engineering advice on oil and gas licences to the Ministry of Economic Affairs. First-hand experience with a government view on resource management.   1976 - 1984 NAM, Assen, The Netherlands and SSB/SSPC, Miri, Malaysia Wellsite Operations Engineer / Operational Reservoir Engineer POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

FOUR DAY ATTENDENCE AND TRAINING GUIDELINE: DAY ONE AND TWO - INTRODUCTION TO DERMAL FILLERS Day one Arrive and coffees (10.00) Registration, introduction and expectations (10.00-10.15) Structure of the training (10.15-10.30) Break (10.30-11.00) Lectures and interactive workshops / simulation (11.00 - 1230pm) Health and safety in the workplace Sharps injury and disposal The consultation process and prescriptions LUNCH (1300-1730) with a coffee break Basic life support Anaphylaxis - recognition and management Emergency kits - what it should contain and how to buy one Your doctors on call - how to contact our on call doctors for emergency advice How to use Hyalase safely - when to use it / recognise mechanism of action, how prescription in an emergency works and how to give the hyalase Practical and to include demonstration of Hyalase injection Our added benefits services for safety and convenience Day two Arrive and coffees (10.00) introduction and expectations (10.00-10.30) Structure of the training (10.30-11.00) Formal written examination covering key areas of THEORY for Dermal Filler injections: Anatomy, Physiology, Products and Complications. This will highlight early on if any important areas need to be covered in more detail for the students (11.00 - 1200) - Break for lunch - Practical session commences - (12.30 - 1800) - and in total on average we have scope for one model per 30 minutes on both of the Dermal filler days, so that’s a potential for 10 in total for a class size of maximum 4, which will give good hands on experience, as the way we train is to allow several people the opportunity to be involved with each patient - e.g. splitting into the phases of treatment, which allows the trainees to understand the concept of the treatment process. That would be - consultation, consent, marking up, readying equipment, performing the injection, providing advice and aftercare. DAY THREE AND FOUR BOTOX FOUNDATION COURSE Day three Arrive and coffees (10.00) introduction and expectations (10.00 – 10.30) Structure of the training (10.30 – 11.00) Formal written examination covering key areas of THEORY for Botox Application: Anatomy, Physiology, Products and Complications. This will highlight early on if any important areas need to be covered in more detail for the students (11.00 - 1200) - Break for lunch - Practical session commences - (12.30 - 1800) - and in total on average we have one model per 30 minutes on both the botox and days, so that’s a potential of 10 in total for a class size of 4, which will give good hands on experience, as the way we train is to allow several people the opportunity to be involved with each patient - e.g. splitting into the phases of treatment, which allows the trainees to understand the concept of the treatment process. That would be - consultation, consent, marking up, readying equipment, performing the injection, providing advice and aftercare. Day four Observed Treatment Process Examination The participants will be tested on the following key facets of safe practical care: Consultation process - rapport and understanding what the client wants Safe consent Marking and photographs Technical skill of injection Atercare provision and safety netting (eg if this happens do this / call me) 1 model will be provided for Botulinum (3 area) treatment and 1 - 2 clients for filler to ensure that each of the key anatomical areas covered are observed. Morning = Botulinum (0900 - 1230) Afternoon = Botulinum and Option Dermal fillers (1330 - 1630) Conclusion Candidates given session and refreshments and discussion regarding Case Studies and further support. (1700 - 1800)

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)

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)

In-house training courses on electric and hydrogen vehicle technologies, charging infrastructure and how they work.

Disciplined Agile Value Stream Consultant (DAVSC) Training Workshop The Disciplined Agile Value Stream Consultant workshop teaches you how to use value stream management to create a tailored approach for any organization to accelerate delivery of value to their customers. It provides a combination of Lean, Flow, Theory of Constraints and Organizational Development theories and practices. The workshop integrates with the Disciplined Agile tool kit to provide those practices that will be most effective for where it is applied, whether it be a new Agile transition or continuing a stagnated SAFe® or Spotify one. What You Will Learn After the completion of this course, you will be able to: Learn to determine the best place for an organization to start - portfolio management, product management or development area Be equipped to tailor an organization's improvement plan based on their unique needs, while also attending to the culture of the organization to evolve at their proper pace Be able to train an organization to continue to improve on their own Know how to accelerate value delivery at scale Be prepared to take the Disciplined Agile Value Stream Consultant (DAVSC) exam and earn valuable, credible certification. Your exam fee is included in tuition. The course is comprised of an introduction and 14 lessons and supplemental materials provided electronically: Introduction: The Disciplined Agile Mindset Lesson 1: Value Stream Consultant: Role and Work Lesson 2: The Idealized Value Stream Lesson 3: Removing Delays in the Workflow Lesson 4: The Minimum Business Increment Lesson 5: The Discovery Workflow and the Development Intake Process Lesson 6: Value Flow Planning and Coordination Lesson 7: Working with a Common Cadence and Synchronization Lesson 8: End of Increment Activities and Reducing, Not Accommodating Dependencies Lesson 9: Factors for Effective Value Streams Lesson 10: Value Creation Structure Lesson 11: Agile Budgeting and Lean Funding Lesson 12: Creating Visibility Across the Organization Lesson 13: Key Roles Lesson 14: The Disciplined Agile Playbook