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Learn how to take blood ... train as a Phlebotomist Nationally Recognised Qualification No previous experience or qualifications needed OCN Accredited - Level 3 (advanced) CPD Accredited (The CPD Certification Service) Covers all steps up to live blood draw Practise on artificial arm and fake blood! Basic understanding of English language required OPEN TO ALL APPLICANTS

Training webinars in preparation for Rally of the Tests Historic Road Rally

Get hands-on with specialized tools to scan, attack, and decompile code.

Course Summary Elevate Your Diagnostic Skills: Master Orthopedic Special Tests for Common MSK Conditions! Stop guessing and start confidently identifying musculoskeletal issues with this dynamic, practical CPD course. Led by experienced Register Osteopath Becky Tyler, you’ll go beyond basic assessment and gain mastery in performing and interpreting key orthopaedic special tests. This intensive course will equip you with the essential skills to accurately assess a wide range of commonly seen conditions, including Tennis Elbow, Plantar Fasciitis, Rotator Cuff Tears, and more. This is a critical CPD for any manual therapist wanting to refine their diagnostic accuracy and provide more effective treatment. Course Content Comprehensive Review of Common MSK Conditions: An in-depth overview of prevalent musculoskeletal conditions encountered in clinical practice Mastering Upper Limb Special Tests: Practical, hands-on instruction and practice in performing and interpreting key special tests for the shoulder (e.g., Empty Can, Hawkins-Kennedy, Neer’s), elbow (e.g., Jobe’s), wrist and hand (e.g., Phalen’s, Tinel’s, Finkelstein’s), and cervical spine (e.g., Spurling’s) etc. Emphasis will be placed on proper technique, sensitivity, specificity, and clinical relevance. Mastering Lower Limb and Lumbar Spine Special Tests:Practical, hands-on instruction and practice in performing and interpreting key special tests for the lumbar spine (e.g., Straight Leg Raise, Slump Test, Quadrant Test), sacroiliac joint (e.g., FABER), hip (e.g., Trendelenburg, Thomas), knee (e.g., McMurray’s, LCL), ankle and foot (e.g., Anterior Drawer, Windlass) etc. Emphasis will be placed on proper technique, sensitivity, specificity, and clinical relevance. Clinical Reasoning and Interpretation: Developing critical thinking skills to integrate special test findings with patient history and other assessment components to arrive at accurate diagnoses and inform treatment plans. Case studies and real-world scenarios will be utilised. Practical Application and Refinement: Ample opportunity for hands-on practice in pairs, receiving feedback on technique and interpretation to build confidence and proficiency in performing special tests. Understanding Sensitivity, Specificity, and Clinical Relevance:Gaining a deeper understanding of the diagnostic accuracy of various special tests and how to apply this knowledge in clinical decision-making. We only have small numbers on all our courses ensuring you have plenty of time with Becky to really develop your technique and feel confident in offering this technique to your patients. We pride ourselves on always being there ready to help and offer advise not only during the course but after as well, all you need to do is ask! Who can attend Physiotherapists Osteopaths Chiropractors Acupuncturists Manual Therapists Sports Therapists Level 4 Sports Massage Therapists We may ask you to provide a copy of your qualification. Assessment Observation during the course day

Course Outline A key advancement with the Level 4 Certificate in Sports Massage Therapy is the expanded scope of practice it provides. Unlike Level 3, which focuses on maintenance and recovery, Level 4 delves into the understanding of injuries, thereby enabling practitioners to confidently and effectively treat actual Musculoskeletal (MSK) conditions. This qualification marks a significant step towards becoming a therapist capable of addressing a wider range of client needs. For more course information click here Level 4 Sports Massage Courses The Level 4 Certificate in Sports Massage Therapy builds on your existing knowledge and skills gained from the level 3 Sports Massage course. This qualification will provide learners with a deeper knowledge and further skills to be able treat clients and correct common patterns of dysfunction. Course Focus: Assessment skills Learning of a range of injuries and dysfunctions Introduction and learning of some special tests. Development of massage techniques & skills Patient aftercare advice along with corrective exercise prescription knowledge This Qualification Enables You To: Progression on to a Level 5 Sports Therapy Course Progression onto an Osteopathy or Physiotherapy course Venue BTST Academy & Clinic, Holly Farm, Clipstone Road, Edwinstowe, Nottingham, NG21 9JD Course delivery Online and Weekends Practical Course Dates 2025 Day 1; Saturday 31st May 2025 – Leg Anatomy and Palpation Day 2; Sunday 1st June 2025 – Torso and Arm Palpation Day 3; Saturday 12th July 2025 – Special Tests Day 4; Sunday 13th July 2025 – Advanced Massage Techniques Day 5; Saturday 16th August 2025 – Treatment planning and Case Studies Part 1 Day 6; Sunday 17th August 2025 – Treatment planning and Case Studies Part 2 Practical Assessments Book at Your Own Pace: Assessments are booked individually, allowing you to schedule them when you feel ready* Course days will run from 9:30am – 4:30pm Price £ 1400.00 Course Content For the course content and syllabus please click HERE Tutor Becky Tyler Assessor’s Becky Tyler, Laura Simmons & Clare Sargent Internal Verifier: Sarah Lane External Verifier: Will Mansford – Active IQ Awarding Body: Active IQ Payment on Booking: You can either select to pay:- The non refundable deposit of £400 or the Full Amount at time of booking. Paying a Deposit: If you select to pay the deposit you will receive communication via email to discuss & confirm a payment plan, all monies owed must be paid in full 1 week before the course start date ELCAS Funding: ELCAS Funding is available for this course Course Attendance: *We ask that all dates are attended but appreciate this is not always possible and therefore any missed days will need to be completed via home study. However if there are more than 2x days you are unable to attend, please contact us at btstacademy@outlook.com to discuss before booking. Refunds: Please note that your deposit is non-refundable. If you start your practical training and then withdraw from the course you will still be liable for the full course fee. Course Terms & Conditions: Click here

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)

Lean Six Sigma Black Belt Certification Program: Virtual 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)

About this training course This 5 full-day course provides a comprehensive understanding of all the commissioning and start-up activities of all electrical equipment including transformers, switchgear, induction and synchronous motors, generators and auxiliaries. All commissioning activities are covered in detail in this course. This includes all the commissioning procedures and documents, purpose of commissioning, responsibilities, system description, documentation, testing and commissioning schedules, test reports, safety, certification, and plant completion report. The course provides also a thorough understanding of all the commissioning requirements for transformers, switchgear, induction and synchronous motors and, generator and auxiliaries including its switchgear equipment, switchgear, and transformers. All the stages of the commissioning procedure are covered in-depth in this course. This includes preparation - planning various activities, pre-commissioning checks and tests, typical commissioning schedule, detailed tests and commissioning procedures for every type of transformers, switchgear, induction and synchronous motors, and generators and auxiliary systems, instrumentation, trial run of the equipment, safety and precautions, commissioning of electrical systems, Safety Rules Clearance Certificates, procedure for the control and handling of defects, Commissioning Reports. This course is a MUST for anyone who is involved in the pre-commissioning or commissioning of any electrical equipment because it provides detailed pre-commissioning checks and tests and detailed tests and commissioning procedures for every electrical equipment. In addition, the course provides in-depth coverage of all preparation, planning activities, commissioning schedules, trial run of each electrical equipment, safety and precautions, Safety Rules Clearance Certificates, Procedures for handling defects, and Commissioning Reports. Training Objectives Pre-Commissioning Checks and Tests, Detailed Tests and Commissioning Procedures and Instructions for all Electrical Equipment: Gain a thorough understanding of all pre-commissioning checks and tests, and all commissioning procedures and instructions for all electrical equipment Commissioning Procedures, Documents, and Certification of Electrical Equipment: Discover the benefits of the Commissioning Management System of electrical equipment including all commissioning procedures and documents, purpose of commissioning, responsibilities, system description, documentation, testing and commissioning schedules, test reports, safety, equipment certification, and commissioning completion report Commissioning Procedures for Transformers: Learn about the commissioning procedures for transformers including functional checks, pre-commissioning tests, commissioning tests, and records. Commissioning Procedures for Switchgear Assemblies: Gain a thorough understanding of all the commissioning procedures for switchgear assemblies including substation commissioning, electrical testing, code requirements, safety rules, grounding and shorting, high power testing, NETA acceptance testing procedures, test values analysis, and commissioning forms Commissioning Procedures for Generator and Auxiliaries: Discover all the commissioning procedures for generator and auxiliaries including generator, seal oil system, hydrogen gas system, stator water system, rolling and payment of generator Commissioning Procedures and Instructions for Generator Electrical Equipment: Learn about all the commissioning procedures and instructions for generator electrical equipment including switchyard equipment, switchgear, transformers, and motors Code Requirements for Commissioning Electrical Equipment and Systems: Learn about the code requirements for commissioning transformers, switchgear, inductions and synchronous motors, and generators and auxiliaries Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Course Level Basic or Foundation Training Methods Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Each delegate will receive a copy of the following materials written by the instructor: 'ELECTRICAL EQUIPMENT HANDBOOK' published by McGraw-Hill in 2003 (600 pages) ELECTRICAL EQUIPMENT COMMISSIONING MANUAL (includes practical information about all pre-commissioning checks and tests, typical commissioning schedule, detailed tests and commissioning procedures and instructions for all electrical equipment - 500 pages) Trainer Your specialist course leader has more than 32 years of practical engineering experience with Ontario Power Generation (OPG), one of the largest electric utility in North America. He was previously involved in research on power generation equipment with Atomic Energy of Canada Limited at their Chalk River and Whiteshell Nuclear Research Laboratories. While working at OPG, he acted as a Training Manager, Engineering Supervisor, System Responsible Engineer and Design Engineer. During the period of time, he worked as a Field Engineer and Design Engineer, he was responsible for the operation, maintenance, diagnostics, and testing of gas turbines, steam turbines, generators, motors, transformers, inverters, valves, pumps, compressors, instrumentation and control systems. Further, his responsibilities included designing, engineering, diagnosing equipment problems and recommending solutions to repair deficiencies and improve system performance, supervising engineers, setting up preventive maintenance programs, writing Operating and Design Manuals, and commissioning new equipment. Later, he worked as the manager of a section dedicated to providing training for the staff at the power stations. The training provided by him covered in detail the various equipment and systems used in power stations. In addition, he has taught courses and seminars to more than four thousand working engineers and professionals around the world, specifically Europe and North America. He has been consistently ranked as 'Excellent' or 'Very Good' by the delegates who attended his seminars and lectures. He written 5 books for working engineers from which 3 have been published by McGraw-Hill, New York. Below is a list of the books authored by him; Power Generation Handbook: Gas Turbines, Steam Power Plants, Co-generation, and Combined Cycles, second edition, (800 pages), McGraw-Hill, New York, October 2011. Electrical Equipment Handbook (600 pages), McGraw-Hill, New York, March 2003. Power Plant Equipment Operation and Maintenance Guide (800 pages), McGraw-Hill, New York, January 2012. Industrial Instrumentation and Modern Control Systems (400 pages), Custom Publishing, University of Toronto, University of Toronto Custom Publishing (1999). Industrial Equipment (600 pages), Custom Publishing, University of Toronto, University of Toronto, University of Toronto Custom Publishing (1999). Furthermore, he has received the following awards: The first 'Excellence in Teaching' award offered by PowerEdge, Singapore, in December 2016 The first 'Excellence in Teaching' award offered by the Professional Development Center at University of Toronto (May, 1996). The 'Excellence in Teaching Award' in April 2007 offered by TUV Akademie (TUV Akademie is one of the largest Professional Development centre in world, it is based in Germany and the United Arab Emirates, and provides engineering training to engineers and managers across Europe and the Middle East). Awarded graduation 'With Distinction' from Dalhousie University when completed Bachelor of Engineering degree (1983). Lastly, he was awarded his Bachelor of Engineering Degree 'with distinction' from Dalhousie University, Halifax, Nova Scotia, Canada. He also received a Master of Applied Science in Engineering (M.A.Sc.) from the University of Ottawa, Canada. He is also a member of the Association of Professional Engineers in the province of Ontario, Canada. 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

This is a very comprehensive introduction to Spring Boot Test, which includes Mockito, JUnit, JSONassert, Spring Data JPA, REST, design pattern, and many more. You will learn to write JUnit tests with Spring Boot and Mockito for RESTful services.