259 CLO courses in Birmingham

COBOL training course description A hands on training course providing an introduction to COBOL. What will you learn Write COBOL programs Debug COBOL programs Examine existing code and determine its function. COBOL training course details Who will benefit: Programmers working with COBOL. Prerequisites: None although experience in another high level language would be useful. A 10 day version of this course would be more applicable for those new to programming. Duration 5 days COBOL training course contents Introduction to COBOL Compilation, linkage editor. Compile errors, compiler options. Divisions, syntax and format, COBOL character set, program structure. COBOL statement structure COBOL words, format of statements. Divisions Identification entries, Environment entries, Data division: FD, record descriptions, hierarchy and level numbers, description-string entry. File and Working-Storage Sections Literals, figurative constants, redefines clause, data representation, Usage clause, synchronization, sign clause. Procedure Division File status codes; Open, Read, Write, Close, Stop, Goback; Accept, display; Move, Justified, data name qualification, reference modification. Perform statement Out-of-line, With test ... Until, ... Times, in-line statement; Go to statement. Program design Design techniques, design considerations, procedure names, program structure. Printing Printed output, Write, advancing option, editing characters; Initialize. Condition testing Conditional statements: IF, class, sign and relation conditions, condition-name conditionals, Set, compound conditions, logical operators. Evaluate, Continue. Arithmetic Rounded option, On Size Error option, Add, Subtract, Multiply, Divide, Compute. Non-sequential files File access modes, Select. Indexed and relative files. Open, Close, creating / reading sequential access files, Write, Read, Invalid key clause, reading, writing / updating Random access files, Rewrite, Delete, Start. Declarative routines Clauses. Subroutines Call, Using clause - calling program/called program, Linkage Section, returning control. Table handling Subscripted tables: One/two/three dimensional tables, Perform, variable length tables. Indexed tables: Set, using an index; Search. Copy code: Copy, Suppress, Replacing. Data Manipulation Inspect, String, Unstring. COBOL/370 LE/370 and Intrinsic Functions.

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)

Solution Focused Hypnotherapy Training Academy in Birmingham and the Midlands

Cloud technologies training course description This course provides an introduction to cloud technologies, including, configuration and deployment, security, maintenance, and management. It covers all aspects of cloud computing infrastructure. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. . What will you learn Contrast and compare AWS, GCP and Azure. Explain the different cloud services, models and characteristics. Explain cloud virtualization components and options. Explain cloud security options. Describe cloud automation, orchestration, monitoring and performance options. Cloud technologies training course details Who will benefit: Anyone working with or looking to work with cloud technologies. Prerequisites: None. Duration 2 days Cloud technologies training course contents What is the cloud? The Internet Cloud computing Benefits Disadvantages Cloud services IaaS, PaaS, SaaS, others. Cloud service providers AWS, GCP Microsoft Azure, others Cloud architectures Private, public, hybrid others Cloud based delivery The cloud and virtualization Virtual Machines, networks, storage, deployment. Accessing the Virtual Machine Secure cloud environments Security considerations. Data privacy considerations Automation and orchestration Monitoring and performance Performance Cost issues Cost containment

Hyper V for engineers training course description This five day course will provide you with the knowledge and skills required to design and implement Microsoft Server Virtualization solutions using Hyper-V and System Center. Please note that due to the nature of the lab / environment build delegates may be required to work in pairs. What will you learn Install and configure the Hyper-V server role. Create virtual machines, create and manage virtual hard disks and work with snapshots. Create and configure virtual machine networks in a Hyper-V environment. Provide high availability for Hyper-V environment by implementing failover clustering. Use System Center 2012 R2 Virtual Machine Manager. Create and manage virtual machines by using VMM. Hyper V for engineers training course details Who will benefit: Anyone designing, implementing, managing and maintaining a virtualization infrastructure. Prerequisites: Supporting Windows server 2012 Duration 5 days Hyper V for engineers training course contents Evaluating the environment for virtualization Overview of Microsoft virtualization, Overview of system center 2012 R2 components, Evaluating current environment for virtualization, Extending virtualization to the cloud environment. Selecting the appropriate virtualization method, Assessing the environment by using MAP. Installing and configuring the Hyper-V role Installing the Hyper-V role, Managing Hyper-V, Configuring Hyper-V settings, Hyper-V Host storage and networking, Installing the Hyper-V server role, Configuring Hyper-V settings, Accessing and managing Hyper-V remotely. Creating and managing virtual hard disks, virtual machines, and checkpoints Creating and configuring virtual hard disks, Creating and configuring virtual machines, Installing and Importing virtual machines, Managing virtual machine checkpoints, Monitoring Hyper-V, Designing virtual machines for server roles and services, Creating and managing virtual hard disks, Creating and managing virtual machines, Importing virtual machines and working with checkpoints monitoring Hyper-V. Creating and configuring virtual machine networks Creating and using Hyper-V virtual switches, Advanced Hyper-V networking features, Configuring and using Hyper-V network virtualization, Creating and using Windows Server 2012 R2 Hyper-V virtual switches, Configuring and using advanced virtual switch features, Configuring Hyper-V Network virtualization. Virtual machine movement and Hyper-V replica Providing high availability and redundancy for virtualization, Implementing virtual machine movement, Implementing and managing Hyper-V replica, Moving Hyper-V storage and virtual machines, Configuring and managing Hyper-V replica. Implementing failover clustering with Hyper-V Overview of failover clustering, Configuring and using shared storage, Implementing and managing failover clustering with Hyper-V, Creating a Hyper-V failover cluster, Managing a Hyper-V failover cluster. Installing and configuring System Center 2012 R2 virtual machine manager Integrating system center and server virtualization, Overview of VMM, Installing VMM, Adding hosts and managing host groups, Installing and configuring System Center 2012 R2 VMM, Managing hosts and host groups. Managing the Networking and storage infrastructure in System Center 2012 R2 VMM Managing networking infrastructure managing storage infrastructure, Managing infrastructure updates, Implementing a network infrastructure, Implementing a storage infrastructure, Managing infrastructure updates. Creating and managing VM using MS System Center 2012 R2 VMM VMM tasks in VMM, Creating, cloning, and converting VMs, Overview of VM updating, Creating a VM and modifying it's properties, Cloning a VM. Configuring and managing the MS System Center 2012 R2 VMM library and library objects Overview of the VMM library, Working with profiles and templates, Configuring and managing the VMM library, Creating and managing profiles and templates. Managing clouds in MS System Center 2012 R2 VMM Introduction to clouds, Creating and managing a cloud, Working with user roles in VMM, Creating a cloud, Working with user roles, Deploying VMs to a private cloud. Managing services in MS System Center 2012 R2 VMM and app controller Understanding services in VMM, Creating and managing services in VMM, Using app controller Creating a service template, Deploying a service and updating a service template, Configuring app controller, Deploying a VM in app controller. Protecting and monitoring virtualization infrastructure Overview of backup and restore options for VM, Protecting virtualization Infrastructure using DPM, Using Operations Manager for monitoring and reporting, Integrating VMM with Operations Manager, Implementing MS System Center 2012 R2 Operations Manager agents, Configuring Operations Manager monitoring components, Configuring Operations Manager integration with System Center 2012 R2 VMM.

Overview The modern buyer is more knowledgeable and savvier than ever before. By taking a collaborative approach with the buyer and developing solutions, instead of relying on outdated sales tactics, professional sellers can create real value for clients and subsequently close more deals. Learn the solution selling method, and find out how to shift the emphasis from product features to the customer. By understanding how to implement the solution-selling methodology, you can create natural and pressure-less sales interactions that accelerate revenue growth and improve customer loyalty

Overview Contract Management Principles and Practices provide an overview of all phases of contracting, from requirements development to closeout, and discuss how incentives can be used to improve contract results. Explore these vital issues from the manager's perspective, highlighting key roles and responsibilities to give participants greater influence over how work is performed. Finally, discover specific actions that can be taken to help ensure that contractors or subcontractors perform as required under the contract. This course guide you through all the principles and practices of contract management and preparation. 

Overview Understanding the grants coming in and their monitoring, spending and many other factors are directly proportionate to effecting Grant Accounting and Grant Management. Many different funding entities give grants to so many companies, the government sector, and private sectors with the aim to encourage growth and employment and economic viability. It is important to recognise the government grants in the profit and loss account, so at the end, it can match the costs to which they relate. Considering these grants efficiently in the accounts is very important, as many entities (including the grant-making body) may closely monitor the accounts; and any errors will reflect badly on the accountant. Many development projects are funded through grants from donors. Therefore, it becomes the responsibility of the project management team to safeguard that the limited resources are used efficiently to achieve maximum impact.  This course is planned to train the participants with best practices and essential skills in effective grants management.

Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

UNIX Virtualization and High Availability course description This course covers administering UNIX enterprise-wide with an emphasis on virtualization and high availability. What will you learn Manage Virtual Machines. Manage containers. Manage HA clusters. Manage HA cluster storage. UNIX Virtualization and High Availability course details Who will benefit: Enterprise-level UNIX professional. UNIX professionals working with virtualization and/or High availability. Prerequisites: Linux network administration 2 (LPIC-2) Duration 5 days UNIX Virtualization and High Availability course contents VIRTUALIZATION Virtualization concepts and theory Terminology, Pros and Cons of virtualization, variations of Virtual Machine monitors, migration of physical to VMs, migration of VMs between host systems, cloud computing. Xen Xen architecture, networking and storage, Xen configuration, Xen utilities, troubleshooting Xen installations, XAPI, XenStore, Xen Boot Parameters, the xm utility. KVM KVM architecture, networking and storage, KVM configuration, KVM utilities, troubleshooting KVM installations. Other virtualization solutions OpenVZ and LXC, other virtualization technologies, virtualization provisioning tools. Libvirt and Related Tools libvirt architecture, networking and storage, basic technical knowledge of libvirt and virsh, oVirt. Cloud Management Tools Basic feature knowledge of OpenStack and CloudStack, awareness of Eucalyptus and OpenNebula. Containers Containers versus VMs, Docker, Kubernetes. Load balanced clusters of LVS/IPVS, VRRP, configuration of keepalived, configuration of ldirectord, backend server network configuration. HAProxy, configuration of HAProxy. Failover clusters Pacemaker architecture and components (CIB, CRMd, PEngine, LRMd, DC, STONITHd), Pacemaker cluster configuration, Resource classes (OCF, LSB, Systemd, Upstart, Service, STONITH, Nagios), Resource rules and constraints (location, order, colocation), Advanced resource features (templates, groups, clone resources, multi-state resources), Pacemaker management using pcs, Pacemaker management using crmsh, configuration and management of corosync in conjunction with Pacemaker, other cluster engines (OpenAIS, Heartbeat, CMAN). HIGH AVAILABILITY CLUSTER STORAGE DRBD/cLVM DRBD resources, states and replication modes, configuration of DRBD resources, networking, disks and devices, configuration of DRBD automatic recovery and error handling, management of DRBD using drbdadm. drbdsetup and drbdmeta, Integration of DRBD with Pacemaker, cLVM, integration of cLVM with Pacemaker. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.