7013 Courses near Leamington Spa delivered Live Online

Managing people and teams is consistently the biggest challenge raised by new managers (and even many experienced managers). This 3 hour course is aimed at introducing new and existing supervisors and managers to key supervisory skills, allowing them to develop their competence as supervisors. The course covers: Understanding your role as a supervisor SRA obligations and competence expectations Setting expectations and effective delegation Monitoring progress and quality Managing performance in difficult situations Top tips for impactful feedback By the end of this course participants will have had an opportunity to consider their current skills; develop new skills; and think about further development needs. Target Audience This online course is aimed at managers, team leaders and other supervisors. Please note that this course does NOT meet the LAA requirements as a Supervisor Course. If you need a Legal Aid Supervisor course, then please check out our Supervision & Managing Performance Course. Resources 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 Matthew Howgate, Consultant, DG Legal Matt is a non-practising solicitor who has considerable experience in regulatory issues and advising on complex issues of compliance and ethics. He is also an expert in data protection, UK GDPR and on the civil legal aid scheme. Matthew is a lead trainer on and co-developed the LAPG Certificate in Practice Management (a training programme for legal managers and law firm owners) as well as regularly providing training on legal aid Supervision, costs maximisation, data protection and security and on general SRA compliance.

Level 4 Endorsed Diploma - International Trade Qualification Complete all 15 modules and 3 assessments, from a choice of 7 to earn a Level 4 Diploma in International Trade.

This is the perfect launch pad for a technical career in Cyber Security and fully prepares every delegate for the prestigious Certified Ethical Hacking (CEH) Course that comes next on the Cyber & Hacking Learning Pathways by Nemstar.

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)

Complete Python training course description Python is an agile, robust, expressive, fully objectoriented, extensible, and scalable programming language. It combines the power of compiled languages with the simplicity and rapid development of scripting languages. This course covers Python from the very basics of 'hello world!' through to object oriented programming and advanced topics such as multi threading. Hands on follows all the major sections in order to reinforce the theory. What will you learn Read Python programs. Write Python programs. Debug Python programs. Use Python's objects and memory model as well as its OOP features. Complete Python programming training course details Who will benefit: Anyone wishing to learn Python. Prerequisites: None. Duration 5 days Complete Python programming training course contents Welcome to Python: What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. Getting started: Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. Python basics: Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. Python Objects: Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. Numbers: Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. Sequences: strings, lists, and tuples: Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. Mapping and set types: Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. Conditionals and loops: If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. Files and input/output: File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. Errors and exceptions: What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. Functions: Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. Modules: Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. Object-Oriented Programming (OOP): Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. Execution environment: Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. Regular expressions: Special symbols and characters, REs and Python, Regular expressions example. Network programming: Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. Internet client programming: What are internet clients? Transferring files, Network news, E-mail. Multithreaded Programming: Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. GUI programming: Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. Web programming: Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. Database programming: Python database application programmer's interface (DB-API), ORMs. Miscellaneous Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.

Network automation course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network automation course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 5 days Network automation course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Complete C# programming training course description This training course teaches developers the programming skills that are required for developers to create Windows applications using the C# language. Students review the basics of C# program structure, language syntax, and implementation details, and then consolidate their knowledge throughout the week as they build an application that incorporates several features of the .NET Framework. What will you learn Use the syntax and features of C#. Create and call methods, catch and handle exceptions, and describe the monitoring requirements of large-scale applications. Implement a typical desktop application. Create class, define and implement interfaces, and create and generic collections. Read and write data to/from files. Build a GUI using XAML. Complete C# programming training course details Who will benefit: Programmers wishing to learn C#. Prerequisites: Developers attending this course should already have gained some limited experience using C# to complete basic programming tasks. Duration 5 days Complete C# programming training course contents Review of C# Syntax Overview of Writing Applications using C#, Datatypes, Operators, and Expressions. C# Programming Language Constructs. Hands on Developing the Class Enrolment Application. Methods, exceptions and monitoring apps Creating and Invoking Methods. Creating Overloaded Methods and Using Optional and Output Parameters. Handling Exceptions. Monitoring Applications. Hands on Extending the Class Enrolment Application Functionality. Developing a graphical application Implementing Structs and Enums. Organizing Data into Collections. Handling Events. Hands on Writing the Grades Prototype Application. Classes and Type-safe collections Creating Classes. Defining and Implementing Interfaces. Implementing Type-safe Collections. Hands on Adding Data Validation and Type-safety to the Grades Application. Class hierarchy using Inheritance Class hierarchies. Extending .NET framework classes. Creating generic types. Hands on Refactoring common functionality into the User Class. Reading and writing local data Reading and Writing Files. Serializing and Deserializing Data. Performing I/O Using Streams. Hands on Generating the Grades Report. Accessing a Database Creating and using entity data models. Querying and updating data by using LINQ. Hands on Retrieving and modifying grade data. Accessing remote data Accessing data across the web and in the cloud. Hands on Modifying grade data in the Cloud. Designing the UI for a graphical applicatione Using XAML to design a User Interface. Binding controls to data. Styling a UI. Hands on Customizing Student Photographs and Styling the Application. Improving performance and responsiveness Implementing Multitasking by using tasks and Lambda Expressions. Performing operations asynchronously. Synchronizing concurrent data access. Hands on Improving the responsiveness and performance of the application. Integrating with unmanaged code Creating and using dynamic objects. Managing the Lifetime of objects and controlling unmanaged resources. Hands on Upgrading the grades report. Creating reusable types and assemblies Examining Object Metadata. Creating and Using Custom Attributes. Generating Managed Code. Versioning, Signing and Deploying Assemblies. Hands on Specifying the Data to Include in the Grades Report. Encrypting and Decrypting Data Implementing Symmetric Encryption. Implementing Asymmetric Encryption. Hands on Encrypting and Decrypting Grades Reports.

Integrating UNIX and Microsoft course description This course is designed for the enterprise-level UNIX professional and represents the highest level of professional, distribution-neutral UNIX certification within the industry. It covers administering UNIX enterprise-wide with an emphasis on mixed environments. What will you learn Configure and troubleshoot OpenLDAP. Use OpenLDAP as an authentication backend. Manage software packages. Use Samba - Share configuration - User and group management - Domain integration - Name services - with Linux and Windows clients Integrating UNIX and Microsoft course details Who will benefit: Enterprise-level UNIX professionals. Prerequisites: UNIX network administration. Duration 5 days Integrating UNIX and Microsoft course contents OPENLDAP CONFIGURATION OpenLDAP replication Replication concepts, OpenLDAP replication, replication log files, replica hubs, LDAP referrals, LDAP sync replication. Securing the Directory Securing the directory with SSL and TLS, Firewall considerations, Unauthenticated access methods, User/password authentication methods, Maintanence of SASL user DB, certificates. OpenLDAP Server Performance Tuning Measure OpenLDAP performance, Tune software configuration to increase performance, indexes. OPENLDAP AS AN AUTHENTICATION BACKEND LDAP Integration with PAM and NSS Configure PAM to use LDAP for authentication, NSS to retrieve information from LDAP and PAM modules in UNIX. Integrating LDAP with Active Directory and Kerberos Kerberos integration with LDAP, Cross platform authentication, Single sign-on concepts, Integration and compatibility limitations between OpenLDAP and Active Directory. SAMBA BASICS Samba Concepts and Architecture Samba daemons and components, key issues regarding heterogeneous network, Identify key TCP/UDP ports used with SMB/CIFS, Knowledge of Samba3 and Samba4 differences. Configure Samba Samba server configuration file structure, variables and configuration parameters, Troubleshoot and debug configuration problems. Regular Samba Maintenance Monitor and interact with running Samba daemons, Perform regular backups of Samba configuration and state data. Troubleshooting Samba Samba logging, Backup TDB files, Restore TDB files, Identify TDB file corruption, Edit / list TDB file content. Internationalization Internationalization character codes and code pages, differences in the name space between Windows and Linux/Unix with respect to share, names, user/group/computer naming in a non-English environment. SAMBA SHARE CONFIGURATION Linux File System and Share/Service Permissions File / directory permission control, Samba interaction with Linux file system permissions and ACLs, Use Samba VFS to store Windows ACLs. Print Services Printer sharing, integration between Samba and CUPS, Manage Windows print drivers and configure downloading of print drivers, security concerns with printer sharing. SAMBA USER AND GROUP MANAGEMENT Managing User Accounts and Groups User and group accounts, mappings, user account management tools, smbpasswd, file/directory ownership of objects. Authentication, Authorization and Winbind Local password database, password synchronization, passdb backends, Convert between passdb backends, Integrate Samba with LDAP, Winbind service, PAM and NSS. SAMBA DOMAIN INTEGRATION Samba as a PDC and BDC Domain membership and trust relationships, Create and maintain a PDC and BDC with Samba3/4, Add computers to an existing domain, logon scripts, roaming profiles, system policies. Samba4 as an AD compatible Domain Samba 4 as an AD DC, smbclient, how Samba integrates with AD services: DNS, Kerberos, NTP, LDAP. Configure Samba as a Domain Member Server Joining Samba to NT4 and AD domains, obtain a TGT from a KDC. SAMBA NAME SERVICES NetBIOS and WINS WINS concepts, NetBIOS concepts, local master browser, domain master browser, Samba as a WINS server, name resolution, WINS replication, NetBIOS browsing and browser elections, NETBIOS name types. Active Directory Name Resolution DNS for Samba4 as an AD Domain Controller, DNS forwarding with the internal DNS server of Samba4. WORKING WITH LINUX AND WINDOWS CLIENTS CIFS Integration SMB/CIFS concepts, remote CIFS shares from a Linux client, securely storing CIFS credentials, features and benefits of CIFS, permissions and file ownership of remote CIFS shares. Working with Windows Clients browse lists and SMB clients from Windows, Share file/print resources from Windows, the smbclient program, the Windows net utility.

Advanced TCP/IP training course description An intensive advanced TCP/IP course focusing on the details of the protocols according to the RFCs. This course is designed to go into the technical details of the protocols and is not for those that are new to TCP/IP. A particular focus is on TCP and performance. Those more interested in routing protocols should see our Definitive IP routing for engineers course. It is expected that delegates are totally familiar with configuration addressing. Hands on sessions consist of protocol analysis using Wireshark. What will you learn Analyse packets and protocols in detail. Troubleshoot networks using Wireshark. Find performance problems using Wireshark. Perform network forensics. Advanced TCP/IP training course details Who will benefit: Advanced technical staff. Prerequisites: TCP/IP Foundation for engineers Duration 5 days Advanced TCP/IP training course contents IP Fragmentation and MTU issues, Path MTU discovery, Geolocation, unusual IP addresses, forwarding broadcasts, DiffServ, DSCP, ECN, assured and expedited forwarding. TTL usage in traceroute, Protocol field. Sanitising IP addresses in trace files. Wireshark and checksum errors. IPv6 The header. Extension headers. Traffic class and flow labels. Tunnelling. IPv6 and fragmentation. ARP Requests, responses, gratuitous ARP, Proxy ARP, ARP poisoning. ICMP ping, Round Trip Times, ICMP redirect, ICMP router advertisement and solicitation, Time Exceeded, Destination unreachable. ICMPv6: Similarity to ICMPv4, Neighbor discovery and the replacement of ARP. MLD. First hop redundancy ICMP discovery, HSRP, VRRP, GLBP. IGMP Multicast overview, multicast architecture, multicast addresses, IGMP v1, IGMPv2, IGMPv3. UDP Use in broadcasts and multicasts. Port numbers. TCP Connections, RST, FIN, sequence numbering, packet loss recovery, Fast recovery, RTO timeout, SACK, TCP flow control, receive window, congestion window, van Jacobsen, nagle, delayed ACKs, PSH, URG, TCP options, MSS, Window scaling, TCP timestamps. Congestion notification. Hands on Troubleshooting with sequence numbers, Wireshark IO and TCP graphs to analyse performance. Window size issues. DHCP DHCP header. Relationship to BOOTP. Discover, offer, request, decline, ACK, release. Lease, renewal and rebind times. Relay agents. DHCPv6 DNS Names and addresses, Resource Records, queries, responses, problems. MDNS. HTTP Requests, methods, request modifiers, response codes. HTTPS. SSL, TLS. Proxies. Hands on Redirects, recreating pages from packets. FTP Commands, responses, passive/active mode. Email SMTP, POP3, IMAP, commands responses. Voice and Video RTP, RTCP, SIP. IP PBXs. Traffic flows. Hands on Voice playback. SNMP MIBs, GET, TRAP, polling. Performance Baselining, high latency, Wireshark and timings, packet loss, redirections, small packets, congestion, name resolution. Security Network forensics, scanning and discovery, suspect traffic. IPsec, SSH.