CCNA training course description The Implementing and Administering Cisco Solutions (CCNA) course gives you a broad range of fundamental knowledge for all IT careers. Through a combination of lecture, hands-on labs, and self-study, you will learn how to install, operate, configure, and verify basic IPv4 and IPv6 networks. The course covers configuring network components such as switches, routers, and wireless LAN controllers; managing network devices; and identifying basic security threats. It also gives a foundation in network programmability, and software-defined networking What will you learn Install, configure, and operate a small to medium sized network Gain a foundation in the essentials of networking, security, and automation Prepare for the 200-301 CCNA exam, which earns CCNA certification CCNA training course details Who will benefit: Network support help desk technicians involved in the basic installation, operation, and verification of Cisco networks. Anyone seeking CCNA certification. Prerequisites: Introduction to Data communications & networking Duration 5 days CCNA training course content After taking this course, you should be able to: Identify the components of a computer network and describe their basic characteristics. Understand the model of host-to-host communication. Describe the Cisco IOS software. Describe LANs and the role of switches within LANs. Describe Ethernet and describe the operation of switches. Install a switch and perform the initial configuration. Describe the TCP/IP Internet layer, IPv4, its addressing scheme, and subnetting. Describe the TCP/IP Transport and Application layers Explore functions of routing. Implement basic configuration on a Cisco router. Explain host-to-host comms across switches and routers. Identify and resolve common switched network issues and common problems associated with IPv4 addressing. Describe IPv6 main features and addresses, and configure and verify basic IPv6 connectivity. Describe static routing. Describe, implement, and verify VLANs and trunks. Describe inter VLAN routing. Explain the basics of dynamic routing protocols and describe components and terms of OSPF. Explain how STP and RSTP work. Configure link aggregation using EtherChannel. Describe the purpose of Layer 3 redundancy protocols. Describe basic WAN and VPN concepts. Describe the operation of access control lists (ACLs) and their applications in the network. Configure Internet access using DHCP clients and explain and configure NAT on Cisco routers. Describe basic QoS concepts. Describe the concepts of wireless networks, which types of wireless networks can be built, and how to use Wireless LAN Controllers (WLCs). Describe network and device architectures, introduce virtualization, network programmability and SDN and describe smart network management solutions such as Cisco DNA Centerâ¢, SD-Access, and SD-WAN. Configure basic IOS system monitoring tools. Describe the management of Cisco devices. Describe the current security threat landscape. Describe threat defence technologies. Implement a basic security configuration of the device management plane. Implement basic steps to harden network devices. Detailed course outline Exploring the Functions of Networking. The Host-to-Host Communications Model. Operating Cisco IOS Software. Introducing LANs. Exploring the TCP/IP Link Layer. Starting a Switch. The TCP/IP IP layer, IPv4 Addressing, and Subnets. The TCP/IP Transport Layer and Application Layer. Exploring the Functions of Routing. Configuring a Cisco Router. Exploring the Packet Delivery Process. Troubleshooting a Simple Network. Introducing Basic IPv6. Configuring Static Routing. Implementing VLANs and Trunks. Routing Between VLANs. Introducing OSPF. Redundant Switched Topologies with EtherChannel. Explaining Basics of ACL. Enabling Internet Connectivity. Explaining the Evolution of Intelligent Networks. Introducing System Monitoring. Managing Cisco Devices. Securing Administrative Access. Implementing Device Hardening. Self-Study: Building Redundant Switched Topologies. Exploring Layer 3 Redundancy. Introducing WAN Technologies. Introducing QoS. Explaining Wireless Fundamentals. Introducing Architectures and Virtualization. Examining the Security Threat Landscape. Threat Defense Technologies.
Management of Risk (M_o_R®) Foundation: Virtual In-House Training This M_o_R® Foundation course prepares learners to demonstrate knowledge and comprehension of the four elements of the M_o_R framework: Principles, Approach, Processes, Embedding and Reviewing and how these elements support corporate governance. The M_o_R Foundation Course is also a prerequisite for the M_o_R Practitioner qualification. What you will Learn At the end of the M_o_R Foundation course, participants will gain competencies in and be able to: Describe the key characteristics of risk and the benefits of risk management List the eight M_o_R Principles List and describe the use of the key M_o_R Approach documents Create Probability and Impact scales Define and distinguish between risks and issues Create a Risk Register Create a Stakeholder map Identify the key roles in risk management Use the key techniques and describe specialisms in risk management Undertake the M_o_R Foundation examination Introduction Introduction to the M_o_R course What is a risk? What is risk management? Why is risk management so important? Basic risk definitions The development of knowledge about risk management Corporate governance and internal control Where and when should risk management be applied? M_o_R Principles The purpose of M_o_R principles Aligns with objectives Fits the context Engages stakeholders Provides clear guidance Informs decision-making Facilitates continual improvement Creates a supportive culture Achieves measurable value Risk management maturity models M_o_R Approach Relationship between the documents Risk management policy Risk management process guide Risk management strategy Risk register Issue register Risk response plan Risk improvement plan Risk communications plan M_o_R Process Common process barriers Identify contexts Identify the risks Assess estimate Assess evaluate Plan Implement Communication throughout the process M_o_R Perspectives Strategic perspective Program perspective Project perspective Operational perspective Risk Specialisms Business continuity management Incident and crisis management Health and Safety management Financial risk management Environmental risk management Reputational risk management Contract risk management
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.
Project Management Fundamentals - Español: On-Demand What Are You Going To Learn Upon completion of this course, you will be able to: Use standard project management terminology Describe the benefits and importance of strong project management Identify the characteristics of a project manager and successful projects Recognize how current agile/adaptive practices are incorporated into project management Explore project management processes, including Initiation, Planning, Execution, Monitoring and Control, and Closing Use project management processes and tools, based on case studies and real world situations Create an initial project plan Fundamental concepts People and Projects Initiation and Definition of Requirements Using the Work Breakdown Structure Project Risk Management Estimate Timeline Execution, Communication and Team Development Monitoring and Control Project Closing
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Lean Six Sigma Green Belt Certification Program: Virtual In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps
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