32 Courses in Nottingham delivered Live Online

Critical Thinking and Creative Problem Solving: In-House Training Two critical skillsets for the future of work are critical thinking and creative problem solving. These modes of working and thinking intersect and overlap; both are necessary and both can be taught. Having the ability to exercise creativity while at the same time applying structure and discipline to the thinking process is a key competency in the twenty-first century workplace. This course explores the interplay between critical and creative thinking, and the necessity of each to effective problem solving and decision making. Participants will learn a variety of techniques to apply critical thinking to real-life scenarios. They will experiment with different problem-solving approaches and will learn about cognitive influences on our decisions and choices. The course delves into the business value of creativity and involves participants in actively integrating criticality, creativity, and problem solving. What you will Learn At the end of this program, you will be able to: Explain basic concepts of problem solving Infer types of cognitive biases that impact decision making Utilize types of root cause analysis Differentiate among obstacles to sound decision making Apply a variety of problem-solving approaches / processes to existing challenges Evaluate alternative solution methods using various techniques Analyze real world problem scenarios to determine the lateral thinking type needed to address them Foundation Concepts Definitions Thinking modes and cognitive bias Basic problem-solving framework Problem Definition and Solution Generation Root cause analysis Basic problem-solving obstacles Generating alternative solutions Evaluating Alternatives Critical thinking guidelines Obstacles to sound decision making Tools for evaluating alternatives Exploring Lateral Thinking Problem-solving challenge Workplace application

Critical Thinking and Creative Problem Solving (Virtual) Two critical skillsets for the future of work are critical thinking and creative problem solving. These modes of working and thinking intersect and overlap; both are necessary and both can be taught. Having the ability to exercise creativity while at the same time applying structure and discipline to the thinking process is a key competency in the twenty-first century workplace. This course explores the interplay between critical and creative thinking, and the necessity of each to effective problem solving and decision making. Participants will learn a variety of techniques to apply critical thinking to real-life scenarios. They will experiment with different problem-solving approaches and will learn about cognitive influences on our decisions and choices. The course delves into the business value of creativity and involves participants in actively integrating criticality, creativity, and problem solving. What you will Learn At the end of this program, you will be able to: Explain basic concepts of problem solving Infer types of cognitive biases that impact decision making Utilize types of root cause analysis Differentiate among obstacles to sound decision making Apply a variety of problem-solving approaches / processes to existing challenges Evaluate alternative solution methods using various techniques Analyze real world problem scenarios to determine the lateral thinking type needed to address them Getting Started Foundation Concepts Definitions Thinking modes and cognitive bias Basic problem-solving framework Problem Definition and Solution Generation Root cause analysis Basic problem-solving obstacles Generating alternative solutions Evaluating Alternatives Critical thinking guidelines Obstacles to sound decision making Tools for evaluating alternatives Exploring Lateral Thinking Problem-solving challenge Workplace application Summary and Next Steps

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Network administrators Network engineers Network managers System engineers Overview After taking this course, you should be able to: Describe the Cisco ThousandEyes solution and its high-level use cases Identify different types of ThousandEyes agents and supported tests Describe different Enterprise Agent deployment options, requirements, and procedures for agent deployment Describe different ThousandEyes test types Compare Thousand Eyes web layer tests Describe the role of an Endpoint Agent Deploy and Configure an Endpoint Agent Utilize ThousandEyes when performing the root cause analysis Discuss the challenges that ThousandEyes Internet Insights can address Describe the role and configuration of default and custom alerts Distinguish between usability of dashboards and reports Utilize ThousandEyes to monitor solutions end-to-end Describe how to perform system administration The Implementing and Troubleshooting Networks Using Cisco ThousandEyes (ENTEIT) v1.0 course is designed to introduce you to and familiarize you with Cisco© ThousandEyes. Through a combination of lectures and hands-on experience, you will learn to implement and configure the Cisco ThousandEyes solution. You will also learn to install and configure the Cisco ThousandEyes agents with different test types. This solution will also enable you to perform root cause analysis when troubleshooting. Course Outline Introducing Cisco ThousandEyes Introducing Cisco ThousandEyes Agents and Tests Deploying Enterprise Agents Describing ThousandEyes Routing, Network DNS, and Voice Tests Describing Cisco ThousandEyes Web Tests Introducing Endpoint Agents Deploying Endpoint Agents Troubleshooting with Cisco ThousandEyes Using Internet Insights Configuring Alerts Customizing Dashboards and Reports Monitoring Solutions Administrating the System

Project Quality Management: In-House Training In today's environment, quality is the responsibility of everyone. Project success is no longer just the fulfillment of a project on schedule, on budget, and within the scope. Today, projects aren't successful unless the customer's needs are met at the highest level of quality at the lowest cost to the organization. Project Managers must know customer needs, and manage to them throughout the project lifecycle, in order to gain acceptance. Project Quality Management provides an interactive, hands-on environment for participants to practice identification of critical quality requirements (quality planning), fulfillment of those requirements through well-designed processes (Quality Assurance), and statistical awareness of technical specifications of project deliverables (Quality Control). What You Will Learn You'll learn how to: Plan for higher quality project deliverables Measure key performance indicators on projects, processes, and products Turn data into useful project information Take action on analyzed data that will drive down non-value-added costs and drive up customer acceptance and satisfaction Reduce defects and waste in current project management processes Foundation Concepts Quality Defined Customer Focus Financial Focus Quality Management Process Management Cost of Quality Planning for Quality Project Manager Role in Planning Voice of the Customer Quality Management Plan Measurement System Accuracy Data Gathering Data Sampling Manage Quality Process Management Process Mapping Process Analysis Value Stream Mapping Standardization Visual Workplace and 5S Error Proofing (Poka-Yoke) Failure Mode and Effect Analysis Control Quality The Concept of Variation Common Cause Special Cause Standard Business Reports Tracking Key Measurements Control Charts Data Analysis Variation Root Cause Analysis Variance Management Designing for Quality

Project Quality Management: Virtual In-House Training In today's environment, quality is the responsibility of everyone. Project success is no longer just the fulfillment of a project on schedule, on budget, and within the scope. Today, projects aren't successful unless the customer's needs are met at the highest level of quality at the lowest cost to the organization. Project Managers must know customer needs, and manage to them throughout the project lifecycle, in order to gain acceptance. Project Quality Management provides an interactive, hands-on environment for participants to practice identification of critical quality requirements (quality planning), fulfillment of those requirements through well-designed processes (Quality Assurance), and statistical awareness of technical specifications of project deliverables (Quality Control). What You Will Learn You'll learn how to: Plan for higher quality project deliverables Measure key performance indicators on projects, processes, and products Turn data into useful project information Take action on analyzed data that will drive down non-value-added costs and drive up customer acceptance and satisfaction Reduce defects and waste in current project management processes Foundation Concepts Quality Defined Customer Focus Financial Focus Quality Management Process Management Cost of Quality Planning for Quality Project Manager Role in Planning Voice of the Customer Quality Management Plan Measurement System Accuracy Data Gathering Data Sampling Manage Quality Process Management Process Mapping Process Analysis Value Stream Mapping Standardization Visual Workplace and 5S Error Proofing (Poka-Yoke) Failure Mode and Effect Analysis Control Quality The Concept of Variation Common Cause Special Cause Standard Business Reports Tracking Key Measurements Control Charts Data Analysis Variation Root Cause Analysis Variance Management Designing for Quality

Duration 3 Days 18 CPD hours This course is intended for This course is ideal for Professionals preparing to become CRISC certified. Risk practitioners Students or recent graduates Overview At course completions, students will understand the essential concepts in the 4 ISACA CRISC domains: Governance IT Risk Assessment Risk Response and Reporting Information Technology and Security This 3 Day CRISC course is geared towards preparing students to pass the ISACA Certified in Risk and Information Systems Control examination. The course covers all four of the CRISC domains, and each section corresponds directly to the CRISC job practice. CRISC validates your experience in building a well-defined, agile risk-management program, based on best practices to identify, analyze, evaluate, assess, prioritize and respond to risks. This enhances benefits realization and delivers optimal value to stakeholders. GOVERNANCE - a. Organizational Governance Organizational Strategy, Goals, and Objectives Organizational Structure, Roles, and Responsibilities Organizational Culture Policies and Standards Business Processes Organizational Assets GOVERNANCE - b. Risk Governance Enterprise Risk Management and Risk Management Framework Three Lines of Defense Risk Profile Risk Appetite and Risk Tolerance Legal, Regulatory, and Contractual Requirements Professional Ethics of Risk Management IT RISK ASSESSMENT - a. IT Risk Identification Risk Events (e.g., contributing conditions, loss result) Threat Modelling and Threat Landscape Vulnerability and Control Deficiency Analysis (e.g., root cause analysis) Risk Scenario Development IT RISK ASSESSMENT - b. IT Risk Analysis and Evaluation Risk Assessment Concepts, Standards, and Frameworks Risk Register Risk Analysis Methodologies Business Impact Analysis Inherent and Residual Risk RISK RESPONSE AND REPORTING - a. Risk Response Risk Treatment / Risk Response Options Risk and Control Ownership Third-Party Risk Management Issue, Finding, and Exception Management Management of Emerging Risk RISK RESPONSE AND REPORTING - b. Control Design and Implementation Control Types, Standards, and Frameworks Control Design, Selection, and Analysis Control Implementation Control Testing and Effectiveness Evaluation RISK RESPONSE AND REPORTING - c. Risk Monitoring and Reporting Risk Treatment Plans Data Collection, Aggregation, Analysis, and Validation Risk and Control Monitoring Techniques Risk and Control Reporting Techniques (heatmap, scorecards, dashboards) Key Performance Indicators Key Risk Indicators (KRIs) Key Control Indicators (KCIs) INFORMATION TECHNOLOGY AND SECURITY - a. Information Technology Principles Enterprise Architecture IT Operations Management (e.g., change management, IT assets, problems, incidents) Project Management Disaster Recovery Management (DRM) Data Lifecycle Management System Development Life Cycle (SDLC) Emerging Technologies INFORMATION TECHNOLOGY AND SECURITY - b. Information Security Principles Information Security Concepts, Frameworks, and Standards Information Security Awareness Training Business Continuity Management Data Privacy and Data Protection Principles

Participants learn how to handle complaints and negative online reviews with confidence and professionalism. For customer service professionals looking to develop.

LTE optimization training course description This course gives delegates an understanding of the Key Performance Indicators used within the 3G LTE (4G) network environment. We investigate the 3GPP standards for KPIs (including TR 32.814, TS 32.410 & TS 32.455) these cover GERAN, UMTS & LTE environments. The course details the optimisation procedures and the use of Self optimisation, Selforganising & Self-healing equipment now being deployed across all releases of mobile networks. What will you learn Explain the RF optimisation flowchart. Describe the importance of Reference Signal Received Power (RSRP). List many of the 3GPP recommended KPIs. Describe the concept of APN AMBR and UE AMBR within LTE. Describe the use of planning and optimisation computer tools. LTE optimization training course details Who will benefit: Anyone working with LTE. Prerequisites: Essential LTE Duration 2 days LTE optimization training course contents Introduction to the cellular environment The architecture, 2G (GSM), GPRS/EDGE, The NGMN (Next Generation Mobile Network), media gateway controller, 3GPP Rel99 the 3G introduction, HSPA deployments, 3G LTE (4G). Cellular network procedures GSM/GPRS call setup, GPRS data call setup, 3G UMTS data call setup, Data call (Voice over LTE) in LTE (using IMS), Circuit Switched Fall Back (CSFB) in LTE, IP packet session in LTE. Introduction to the standards The 3GPP specifications body, The numbering structure for KPIs, 2G KPIs, 3G/UMTS KPIs, 3G LTE KPIs, IMS KPIs. Introduction to the KPI definitions KPI definitions, accessibility KPIs, retainability KPIs, mobility KPIs, utilisation KPIs. In-depth overview of the air Interfaces GSM/GPRS FDMA & TDMA solution, 3G UMTS WCDMA solution, HSPA+ sharing spare power (Codes), The 3G LTE uplink & downlink interface explained, Initial attach procedures explained. Problem analysis Reference Signal Received Power (RSRP), Signal to Interference Noise Ratio (SINR), handover success rates, power adjustments, classification of coverage problems, weak coverage & coverage holes, lack of dominant cells, cross coverage, improper tilt settings, uplink/downlink imbalance, signal quality, Azimuths & tilts to reduce interference, Handover failure due to interference, Service drop causes. Mobile RF performance in 2G/3G Performance counters, KPIs, testing & measurement, Drive testing and survey, Data collection and post processing of data, LTE service optimization, bandwidth, poor coverage, Quality, optimization process, KPI optimization, Root Cause Analysis (RCA) applied to RF issues, optimization tools and software. Advanced LTE network planning & optimization LTE UE measurements (RSRP/RSRQ), LTE capacity planning, RF configuration parameters, LTE cell selection/reselection planning, LTE radio network KPIs, LTE user-centric KPIs, LTE network performance KPIs, LTE system utilization KPIs, LTE RF channel performance predictions, LTE channel information processing, LTE channel multiplexing, Physical layer and structure, MIMO in LTE, LTE resource plan LTE and Self-Organizing Networks (SON). Radio network optimization work flow Work flow, the existing network, Optimization team establishment and cluster division, Single site verification, Alarm check, Cell state check, Radio parameters check, Site verification, Statistics analysis, Coverage problem analysis. Mobile internet and QoS issues Cellular QoS reference models. How QoS impact on KPIs and measurements, Introduction to mobile internet, The concept of shared access technologies, Support for QoS in the WCDMA environment, The PDP context model, Supporting end-to-end QoS, EPS bearer concepts, Default EPS bearer, Dedicated EPS bearer, APN-AMBR, UE-AMBR.

Lean Six Sigma Yellow Belt Certification Program: Virtual In-House Training This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions. What you Will Learn You'll learn how to: Establish the structure that supports and sustains Lean Six Sigma Quality Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield) Select successful, high-impact projects that match strategic objectives Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology Utilize data-based thinking to make key business decisions Introduction to the Fundamentals and Vision of Lean Six Sigma Lean Six Sigma's focus on the customer, on quality, and on results The costs of poor quality Critical factors to consider when deploying Lean Six Sigma Lean Six Sigma as a process improvement methodology Lean Six Sigma metrics Why do it - ROI and payback for Lean Six Sigma Business Process Management Critical Lean Six Sigma roles and responsibilities Main aspects of managing the organizational change Project selection Metrics of Lean Six Sigma and the DMAIC Model How to strategically align business metrics and projects within an organization How to identify and measure quality characteristics which are critical to customers What does the customer (internal or external) really want from our products and services? Establishing appropriate teams and setting those teams up to be successful What defines a good measurement system? How are we doing (learning the secret to measuring the right things, right)? How to improve output measures by understanding and measuring the process Where are there defects (how to properly select and scope high-impact projects)? Where is the process broken (the Lean Six Sigma version of root cause analysis)? How to determine the process efficiency, or value add, of a process The appropriate use of quality tools Understanding the concept of variation and how to reduce knee-jerk reactions How to achieve breakthrough results for any key measure How can we ensure the identified improvements will be sustainable (the basics of process control)?

Lean Six Sigma Yellow Belt Certification Program: In-House Training This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. This course is designed to instill an in-depth understanding of Lean Six Sigma and a clear sense of what is required to define high-impact improvement projects, establish Lean Six Sigma measurements, and complete Lean Six Sigma projects using the systematic and proven Define, Measure, Analyze, Improve, and Control (DMAIC) methodology. Participants will learn basic tools and techniques of Lean Six Sigma and those who pass a thirty-question exam (70% or above) will become a Certified Lean Six Sigma Yellow Belt. This course is delivered through four 3-hour online sessions. What you Will Learn You'll learn how to: Establish the structure that supports and sustains Lean Six Sigma Quality Identify and calculate key Lean Six Sigma Measurements (Sigma, DPMO, and Yield) Select successful, high-impact projects that match strategic objectives Document, measure, and improve key processes using the DMAIC (Define, Measure, Analyze, Improve, and Control) Methodology Utilize data-based thinking to make key business decisions Introduction to the Fundamentals and Vision of Lean Six Sigma Lean Six Sigma's focus on the customer, on quality, and on results The costs of poor quality Critical factors to consider when deploying Lean Six Sigma Lean Six Sigma as a process improvement methodology Lean Six Sigma metrics Why do it - ROI and payback for Lean Six Sigma Business Process Management Critical Lean Six Sigma roles and responsibilities Main aspects of managing the organizational change Project selection Metrics of Lean Six Sigma and the DMAIC Model How to strategically align business metrics and projects within an organization How to identify and measure quality characteristics which are critical to customers What does the customer (internal or external) really want from our products and services? Establishing appropriate teams and setting those teams up to be successful What defines a good measurement system? How are we doing (learning the secret to measuring the right things, right)? How to improve output measures by understanding and measuring the process Where are there defects (how to properly select and scope high-impact projects)? Where is the process broken (the Lean Six Sigma version of root cause analysis)? How to determine the process efficiency, or value add, of a process The appropriate use of quality tools Understanding the concept of variation and how to reduce knee-jerk reactions How to achieve breakthrough results for any key measure How can we ensure the identified improvements will be sustainable (the basics of process control)?