683 Practitioner courses in Cardiff delivered Live Online

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)

Duration 5 Days 30 CPD hours This course is intended for This course is designed primarily for cybersecurity practitioners preparing for or who currently perform job functions related to protecting information systems by ensuring their availability, integrity, authentication, confidentiality, and non-repudiation. It is ideal for those roles within federal contracting companies and private sector firms whose mission or strategic objectives require the execution of Defensive Cyber Operations (DCO) or DoD Information Network (DoDIN) operation and incident handling. This course focuses on the knowledge, ability, and skills necessary to provide for the defense of those information systems in a cybersecurity context, including protection, detection, analysis, investigation, and response processes. Overview In this course, you will identify, assess, respond to, and protect against security threats and operate a system and network security analysis platform. You will: Assess cybersecurity risks to the organization. Analyze the threat landscape. Analyze various reconnaissance threats to computing and network environments. Analyze various attacks on computing and network environments. Analyze various post-attack techniques. Assess the organization's security posture through auditing, vulnerability management, and penetration testing. Collect cybersecurity intelligence from various network-based and host-based sources. Analyze log data to reveal evidence of threats and incidents. Perform active asset and network analysis to detect incidents. Respond to cybersecurity incidents using containment, mitigation, and recovery tactics. Investigate cybersecurity incidents using forensic analysis techniques. This course covers network defense and incident response methods, tactics, and procedures that are in alignment with industry frameworks such as NIST 800-61r2 (Computer Security Incident Handling Guide), US-CERT's National Cyber Incident Response Plan (NCIRP), and Presidential Policy Directive (PPD)-41 on Cyber Incident Coordination. It is ideal for candidates who have been tasked with the responsibility of monitoring and detecting security incidents in information systems and networks, and for executing standardized responses to such incidents. The course introduces tools, tactics, and procedures to manage cybersecurity risks, defend cybersecurity assets, identify various types of common threats, evaluate the organization's security, collect and analyze cybersecurity intelligence, and remediate and report incidents as they occur. This course provides a comprehensive methodology for individuals responsible for defending the cybersecurity of their organization. This course is designed to assist students in preparing for the CertNexus CyberSec First Responder (Exam CFR-410) certification examination. What you learn and practice in this course can be a significant part of your preparation. In addition, this course and subsequent certification (CFR-410) meet all requirements for personnel requiring DoD directive 8570.01-M position certification baselines: CSSP Analyst CSSP Infrastructure Support CSSP Incident Responder CSSP Auditor The course and certification also meet all criteria for the following Cybersecurity Maturity Model Certification (CMMC) domains: Incident Response (IR) Audit and Accountability (AU) Risk Management (RM) Lesson 1: Assessing Cybersecurity Risk Topic A: Identify the Importance of Risk Management Topic B: Assess Risk Topic C: Mitigate Risk Topic D: Integrate Documentation into Risk Management Lesson 2: Analyzing the Threat Landscape Topic A: Classify Threats Topic B: Analyze Trends Affecting Security Posture Lesson 3: Analyzing Reconnaissance Threats to Computing and Network Environments Topic A: Implement Threat Modeling Topic B: Assess the Impact of Reconnaissance Topic C: Assess the Impact of Social Engineering Lesson 4: Analyzing Attacks on Computing and Network Environments Topic A: Assess the Impact of System Hacking Attacks Topic B: Assess the Impact of Web-Based Attacks Topic C: Assess the Impact of Malware Topic D: Assess the Impact of Hijacking and Impersonation Attacks Topic E: Assess the Impact of DoS Incidents Topic F: Assess the Impact of Threats to Mobile Security Topic G: Assess the Impact of Threats to Cloud Security Lesson 5: Analyzing Post-Attack Techniques Topic A: Assess Command and Control Techniques Topic B: Assess Persistence Techniques Topic C: Assess Lateral Movement and Pivoting Techniques Topic D: Assess Data Exfiltration Techniques Topic E: Assess Anti-Forensics Techniques Lesson 6: Assessing the Organization's Security Posture Topic A: Implement Cybersecurity Auditing Topic B: Implement a Vulnerability Management Plan Topic C: Assess Vulnerabilities Topic D: Conduct Penetration Testing Lesson 7: Collecting Cybersecurity Intelligence Topic A: Deploy a Security Intelligence Collection and Analysis Platform Topic B: Collect Data from Network-Based Intelligence Sources Topic C: Collect Data from Host-Based Intelligence Sources Lesson 8: Analyzing Log Data Topic A: Use Common Tools to Analyze Logs Topic B: Use SIEM Tools for Analysis Lesson 9: Performing Active Asset and Network Analysis Topic A: Analyze Incidents with Windows-Based Tools Topic B: Analyze Incidents with Linux-Based Tools Topic C: Analyze Indicators of Compromise Lesson 10: Responding to Cybersecurity Incidents Topic A: Deploy an Incident Handling and Response Architecture Topic B: Mitigate Incidents Topic C: Hand Over Incident Information to a Forensic Investigation Lesson 11: Investigating Cybersecurity Incidents Topic A: Apply a Forensic Investigation Plan Topic B: Securely Collect and Analyze Electronic Evidence Topic C: Follow Up on the Results of an Investigation Additional course details: Nexus Humans CertNexus Certified CyberSec First Responder (CFR-410) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CertNexus Certified CyberSec First Responder (CFR-410) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for experienced IT security-related practitioners, auditors, consultants, investigators, or instructors, including network or security analysts and engineers, network administrators, information security specialists, and risk management professionals, who are pursuing CISSP training and certification to acquire the credibility and mobility to advance within their current computer security careers or to migrate to a related career. Through the study of all eight CISSP Common Body of Knowledge (CBK) domains, students will validate their knowledge by meeting the necessary preparation requirements to qualify to sit for the CISSP certification exam. Additional CISSP certification requirements include a minimum of five years of direct professional work experience in two or more fields related to the eight CBK security domains, or a college degree and four years of experience. Overview #NAME? In this course, students will expand upon their knowledge by addressing the essential elements of the 8 domains that comprise a Common Body of Knowledge (CBK)© for information systems security professionals. Prerequisites CompTIA Network+ Certification 1 - Security and Risk Management Security Governance Principles Compliance Professional Ethics Security Documentation Risk Management Threat Modeling Business Continuity Plan Fundamentals Acquisition Strategy and Practice Personnel Security Policies Security Awareness and Training 2 - Asset Security Asset Classification Privacy Protection Asset Retention Data Security Controls Secure Data Handling 3 - Security Engineering Security in the Engineering Lifecycle System Component Security Security Models Controls and Countermeasures in Enterprise Security Information System Security Capabilities Design and Architecture Vulnerability Mitigation Vulnerability Mitigation in Embedded, Mobile, and Web-Based Systems Cryptography Concepts Cryptography Techniques Site and Facility Design for Physical Security Physical Security Implementation in Sites and Facilities 4 - Information Security Management Goals Organizational Security The Application of Security Concepts 5 - Information Security Classification and Program Development Information Classification Security Program Development 6 - Risk Management and Ethics Risk Management Ethics 7 - Software Development Security Software Configuration Management Software Controls Database System Security 8 - Cryptography Ciphers and Cryptography Symmetric-Key Cryptography Asymmetric-Key Cryptography Hashing and Message Digests Email, Internet, and Wireless Security Cryptographic Weaknesses 9 - Physical Security Physical Access Control Physical Access Monitoring Physical Security Methods Facilities Security

Duration 2 Days 12 CPD hours This course is intended for This is an intermediate and beyond level SQL course geared for experienced end users, data scientists, business analysts, application developers and database administrators. Students should have recently attended a basic SQL class or have equivalent experience. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment led by our expert practitioner, attendees will learn advanced skills needed to: Advanced Query Techniques Manipulating Table Data Using SQL's Data Manipulation Language (DML) User-Defined Functions Stored Procedures Triggers A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. Next Level SQL explores how to identify and use advanced querying techniques to manipulate and index tables. All hands-on work in this course is ANSI SQL compliant and should work with most SQL databases such as Oracle, SQL Server, MySQL, MS Access, Informix, Sybase, or any other ANSI SQL compliant database. Advanced Query Techniques Join inner outer (Left, Right, Full) Subqueries Simple Correlated Using the Exists Operator Tips for Developing Complex Queries Performing Set Operations Aggregating Results Using Group by Creating Temporary Tables Manipulating Table Data Using SQL's Data Manipulation Language (DML) Inserting Data into Tables Updating Existing Data Deleting Records Truncating Tables Implementing Data Integrity with Transactions Beginning Explicit Transactions Committing Transactions Rolling Back Transactions User-Defined Functions Definition and Benefits of Use CREATE FUNCTION Syntax RETURN Clause and the RETURNS Statement Scalar vs. Table Functions Comparison with Stored Procedures Returning Scalar Values and Tables ALTER and DROP FUNCTION Stored Procedures Definition and Benefits of Use CREATE PROCEDURE Syntax Variables and Parameters Control of Program Flow ALTER and DROP PROCEDURE Implementation Differences Triggers Definition and Benefits of Use Alternatives (e.g., Constraints) CREATE TRIGGER Syntax Trigger Types 'Inserted' (or 'NEW') and 'Deleted' (or 'OLD') Tables Event Handling and Trigger Execution ALTER and DROP TRIGGER Additional course details: Nexus Humans Advanced SQL Programming (TTSQL005) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Advanced SQL Programming (TTSQL005) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

A four-hour workshop for Neurodiverse individuals and those who recognise some traits in themselves.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 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

In January 2024 alone, reports were published about the SRA taking enforcement action against 3 firms and 4 individuals for failure to comply with the Money Laundering Regulations 2017. The fines issued for these non-compliances total over £570,000 plus costs. The absence of staff training, or requirement to complete additional training, was noted in a number of these cases. Action has not only been taken against solicitors, but also other individuals who are not regulated by the SRA, whose breaches were so serious that the SRA felt compelled to take action.  As all SRA enforcement action, from rebukes to fines, is published by the SRA, the potential financial and reputational impact upon firms may be felt by all staff, regardless of whether they had any direct involvement with the non-compliance. This course will cover the following to assist support staff in understanding the fundamental aspects of AML. The basics of what AML is In scope / not in scope work for AML POCA / TA PCPs - CDD & EDD Clients Risks – what could raise a risk? Reporting to the MLRO / MLCO Tipping off Target Audience The online course is suitable for support staff or legal practitioners wanting to understand the basics of AML. Resources Comprehensive and up to date course notes will be provided to all delegates which may be useful for ongoing reference or cascade training. Please note a recording of the course will not be made available. Speaker Helen Torresi, Consultant, DG Legal Helen is a qualified solicitor with a diverse professional background spanning leadership roles in both the legal and tech/corporate sectors. Throughout her career, she has held key positions such as COLP, HOLP, MLCO, MLRO and DPO for law firms and various regulated businesses and services. Helen’s specialised areas encompass AML, complaint and firm negligence handling, DPA compliance, file review and auditing, law management, and operational effectiveness in law firms, particularly in conveyancing (CQS).

This five-day programme empowers participants with the skills and knowledge to understand and effectively apply best practice commercial and contracting principles and techniques, ensuring better contractor performance and greater value add. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Practitioner (CCMP) qualification. By the end of this comprehensive programme the participants will be able to: Develop robust contracting plans, including scopes of work and award strategies Undertake early market engagements to maximise competition Conduct effective contracting and commercial management activities, including ITT, RFP, negotiated outcomes Understand the legalities of contract and commercial management Negotiate effectively with key stakeholders and clients, making use of the key skills of persuading and influencing to optimise outcomes Undertake effective Supplier Relationship Management Appreciate the implications of national and organisational culture on contracting and commercial activities Appreciate professional contract management standards Set up and maintain contract and commercial management governance systems Take a proactive, collaborative, and agile approach to managing commercial contracts Develop and monitor appropriate and robust KPIs and SLAs to manage the contractor and facilitate improved contractor performance Appreciate the cross-functional nature of contract management Collaborate with clients to deliver sustainable performance and to manage and exceed client expectations Understand the roles and responsibilities of contract and commercial managers Use effective contractor selection and award methods and models (including the 10Cs model) and use these models to prepare robust propositions to clients Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Effectively manage the process of change, claims, variations, and dispute resolution Develop and present robust propositions Make appropriate use of best practice contract and commercial management tools, techniques, and templates DAY ONE 1 Introduction Aims Objectives KPIs Learning strategies Plan for the programme 2 The contracting context Key objectives of contract management Importance and impact on the business 3 Critical success factors Essential features of professional commercial and contract management and administration The 6-step model 4 Putting the 'management' into commercial and contract management Traditional v 'new age' models The need for a commercial approach The added value generated 5 Definitions 'Commercial management' 'Contract management' 'Contracting' ... and why have formal contracts? 6 Stakeholders Stakeholder mapping and analysis The 'shared vision' concept Engaging with key functions, eg, HSE, finance, operations 7 Roles and responsibilities Contract administrators Stakeholders 8 Strategy and planning Developing effective contracting plans and strategies DAY TWO 1 Contract control Tools and techniques, including CPA and Gantt charts A project management approach Developing effective contract programmes 2 The contracting context Key objectives of contract management Importance and impact on the business 3 Tendering Overview of the contracting cycle Requirement to tender Methods Rationale Exceptions Steps Gateways Controls One and two package bids 4 Tender assessment and contract award I - framework Tender board procedures Role of the tender board (including minor and major tender boards) Membership Administration Developing robust contract award strategies and presentations DAY THREE 1 Tender assessment and contract award II - processes Pre-qualification processes CRS Vendor registration rules and processes Creating bidder lists Disqualification criteria Short-listing Using the 10Cs model Contract award and contract execution processes 2 Minor works orders Process Need for competition Role and purpose Controls Risks 3 Contract strategy Types of contract Call-offs Framework agreements Price agreements Supply agreements 4 Contract terms I: Pricing structures Lump sum Unit price Cost plus Time and materials Alternative methods Target cost Gain share contracts Advance payments Price escalation clauses 5 Contract terms II: Other financial clauses Insurance Currencies Parent body guarantees Tender bonds Performance bonds Retentions Sub-contracting Termination Invoicing 6 Contract terms III: Risk and reward Incentive contracts Management and mitigation of contractual risk DAY FOUR 1 Contract terms IV: Jurisdiction and related matters Applicable laws and regulations Registration Commercial registry Commercial agencies 2 Managing the client-contractor relationship Types of relationship Driving forces Link between type of contract and style of relationships Motivation - use of incentives and remedies 3 Disputes Types of dispute Conflict resolution strategies Negotiation Mediation Arbitration DAY FIVE 1 Performance measurement KPIs Benchmarking Cost controls Validity of savings Balanced scorecards Using the KPI template 2 Personal qualities of the contract manager Negotiation Communication Persuasion and influencing Working in a matrix environment 3 Contract terms V: Drafting skills Drafting special terms 4 Variations Contract and works variation orders Causes of variations Risk management Controls Prevention Negotiation with contractors 5 Claims Claims management processes Controls Risk mitigation Schedules of rates 6 Close-out Contract close-out and acceptance / completion HSE Final payments Performance evaluation Capturing the learning 7 Close Review Final assessment Next steps

Duration 3 Days 18 CPD hours This course is intended for This introduction to Spring development course requires that incoming students possess solid Java programming skills and practical hands-on Java experience. This class is geared for experienced Java developers who are new to Spring, who wish to understand how and when to use Spring in Java and JEE applications. Overview Working in a hands-on learning environment, students will review configuration basics of the Spring framework. The course then moves into Spring Boot, providing in-depth content and experience working with Spring Boot to accomplish a variety of tasks. In addition to working through the Spring Actuator, students work extensively at testing and debugging Spring Boot applications. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' application development and Spring experience into every classroom. Working in a hands-on learning environment, led by our expert practitioner, students will: Review the concept of Java-based configuration Become familiar with the conditionally loading bean definitions and Application Contexts Understand how to leverage the power of Spring Boot Use Spring Boot to create and work with JPA repositories Use Spring Boot to work in conjunction with Spring Cloud Understand the Spring Cloud project and how it relates to general Cloud concepts and practices Work with Spring Cloud configuration and the Config Client The Spring framework is an application framework that provides a lightweight container that supports the creation of simple-to-complex components in a non-invasive fashion. Spring's flexibility and transparency is congruent and supportive of incremental development and testing. The framework's structure supports the layering of functionality such as persistence, transactions, view-oriented frameworks, and enterprise systems and capabilities. Introduction to Spring Boot and Spring Cloud is a hands-on Spring training course geared for experienced Java developers who need to understand what the Spring Boot is in terms of today's systems and architectures, and how to use Spring in conjunction with other technologies and frameworks. This course targets Spring Boot 2, which includes full support for Java 8 and JEE 7 (earlier versions of Java and JEE continue to be supported). Spring supports the use of lambda expressions and method references in many of its APIs. Spring makes enterprise development easier. Spring simplifies common tasks and encourages good design based on programming to interfaces. Spring makes your application easier to configure and reduces the need for many JEE design patterns. Spring puts the OO design back into your enterprise application, and it integrates nicely with many view technologies and the new features of HTML5. Introduction to Spring The Spring Framework Configuring Spring Managed Beans Defining Bean dependencies Spring Cloud Spring Boot Additional Configuration Spring Cloud Project Introduction to Spring Boot Working with Spring Boot Spring AOP Introduction to Aspect Oriented Programming Spring Cloud Config Spring Cloud Registry and Discovery Spring AOP Spring Boot 2 Spring Boot Actuator Developing in Spring Boot Thymeleaf Spring Cloud GateWay Additional course details: Nexus Humans Introduction to Spring Boot and Spring Cloud (TT3324) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Spring Boot and Spring Cloud (TT3324) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.