Scrum Product Owner Exam Prep: In-House Training This workshop prepares you for the Scrum.org PSPO™ I certification. A voucher for the exam and the access information you will need to take the exam will be provided to you via email after you have completed the course. NOTE: If you have participated in any of IIL's other Scrum workshops, you can bypass this program and focus on reading/studying the Scrum Guide and taking practice exams from Scrum.org The Product Owner is responsible for maximizing the value of the product and the work of the Development Team. The Product Owner must be knowledgeable, available, and empowered to make decisions quickly in order for an Agile project to be successful. The Product Owner's key accountability is the Product Backlog. Managing, maintaining, and evolving the Product Backlog involves: Establishing a clear vision that engages the Development Team and stakeholders Clearly expressing Product Backlog items Ordering the items in the Product Backlog to best achieve the vision and goals Ensuring that the Product Backlog is visible, transparent, and clear to all Working with the Development Team throughout the project to create a product that fits the customer's need What you will Learn You'll learn how to: Successfully prepare for the Scrum.org PSPO I exam Identify the characteristics of a successful Product Owner Create a powerful vision statement Apply techniques to understand your customers and the market Manage and engage stakeholders Write effective user stories with acceptance criteria Utilize techniques to visualize and prioritize the Product Backlog Participate in the 5 Scrum events as the Product Owner Understand the Product Owner's role in closing a Scrum project Getting Started Introductions Workshop orientation Exam prep preview Fundamentals Recap Agile Manifesto, values, and mindset Product Owner characteristics Good vs. great Product Owner Product Ownership Product ownership Project vision Understand your customers and market Personas Stakeholder management and engagement The Product Backlog User Stories and Acceptance Criteria Preparing User Stories for a Sprint The Product Backlog Visualizing the Product Backlog Product Backlog Prioritization Technical Debt Sprint Planning and Daily Standups Sprint Planning Planning Poker Team Engagement Daily Standups Sprint Review, Retrospectives, and Closing Sprint Reviews Key Agile Patterns Retrospectives Closing the Project
Red Hat training course description This three day hands on course provides a comprehensive coverage of core Linux administration tasks on Red Hat Linux. What will you learn Administer & configure Linux systems. Maintain Linux by handling disk space and taking regular backups. Manage software packages. Perform basic troubleshooting. Maintain a secure Linux system. Describe the organisation and implementation of the filesystem. Red Hat training course details Who will benefit: System administrators. Network administrators. Prerequisites: Linux fundamentals Duration 3 days Red Hat training course contents Managing software Package Concepts, RPM, rpm Commands, Yum, Dependencies and Conflicts, Startup Script Problems, Shared Libraries, Library Management, Managing Processes, the Kernel: The First Process, Process Lists, Foreground & Background Processes, Process Priorities, Killing Processes. Configuring hardware Configuring Firmware and Hardware, IRQs, I/O Addresses, DMA Addresses, Boot Disks, Coldplug and Hotplug Devices, Configuring Expansion Cards and PCI Cards, Kernel Modules, USB Devices, Linux USB Drivers, Configuring Hard Disks, Partitioning Systems, LVM, Common Layouts, Creating Partitions and Filesystems, Maintaining Filesystem Health, Tuning, Journals, Checking Filesystems, Monitoring Disk Use, Mounting and Unmounting Filesystems. Managing files File Management Commands, File Naming and Wildcards, File Archiving, Links, Directory Commands, File Ownership and Group, File access control, Permissions, chmod, Defaults, File Attributes, Disk Quotas, Enabling and setting Quotas, Locating Files, The FHS. Booting Linux and editing files Installing Boot Loaders, GRUB Legacy, GRUB 2, Alternative Boot Loaders, the Boot Process, Boot Messages, Runlevels and the Initialization Process, Runlevel Functions, Runlevel Services, Alternative Boot Systems , Upstart, system. Administering the system Managing Users and Groups, Tuning User and System Environments, Using System Log Files, Understanding syslogd , Setting Logging Options, Manually Logging Data, Rotating Log Files, Reviewing Log File Contents, Maintaining the System Time, Linux Time Concepts, Manually Setting the Time, Using NTP, Running Jobs in the Future, Understanding the Role of cron, Creating System cron Jobs, Creating User cron Jobs, Using anacron, Using at. Configuring basic networking TCP/IP, Network Hardware, Network Addresses, Hostnames, Network Ports, Configuring Linux for a Local Network, Configuring with DHCP, Static IP Address, Configuring Routing, Using GUI Configuration Tools, ifup and ifdown, Diagnosing Network Connections, Testing Connectivity, Tracing a Route, Checking Network Status , Examining Network Traffic, Additional Tools. Securing your systems Administering Network Security, Super Server Restrictions, Disabling Unused Servers, Administering Local Security, Securing Passwords, Limiting root Access, Setting Login, Process, SUID/SGID Files, Configuring SSH, Using GPG, Generating, Importing and Revoking Keys, Encrypting and Decrypting Data, Signing Messages and Verifying Signatures. Clustered File Systems Principles of cluster file systems. Create, maintain and troubleshoot GFS2 file systems in a cluster, create, maintain and troubleshoot OCFS2 file systems in a cluster, Integration of GFS2 and OCFS2 with Pacemaker, the O2CB cluster stack, other commonly used clustered file systems.
Overview This training will give you the platform to learn everything you need to carry out effective cost-benefit analyses, the risk and uncertainty involved, and how to handle the various different types of information available. The skills you will gain will allow the administration of more accurate and reflective cost-benefit analyses through improved methods and processes.
Overview This training course is structured around the ISO 31000:2009 framework, principles and processes. It will also demonstrate how to develop internal control mechanisms and explain how to measure risk in terms of probability and potential impact, at the same time as ensuring that the organisation complies with increasingly strict international standards of corporate governance.
About this training The Seismic Uncertainty Evaluation (SUE) course has evolved after a number of years of work experience in the sub-surface domain. A common question closely related to well planning is the quantification and qualification of depth uncertainty and robust estimation of the volumetric ranges, and this course addresses these topics. Training Objectives Upon completion of this course, participants will be able to: Define a structured approach toward seismic depth uncertainty analysis Construct data analytics on seismic products (well logs, velocities, and seismic) Classify advance vertical ray tomography on FWI models to assure a drill ready depth seismic, faults, surfaces, and logs Interpret probabilistic volumetric and automatic spill point control, amplitude conformance closures De-risk the depth uncertainty by providing drilling and completion with a risking score card Target Audience This course is intended for individuals who needs to understand the basic theory and procedures for assessment/ quantification/qualification of all drill-ready products (seismic, faults, horizons, etc.) Geologist Geophysicist Reservoir engineer Drilling engineer Course Level Intermediate Trainer Your expert course leader is a cross-functional Geoscientist and Published Author with 27 years of international experience working in Upstream Petroleum Exploration and Production for Oil and Gas Companies in Australia, India, Singapore, Saudi Arabia, and Oman. During his career he actively supported field development, static & dynamic reservoir modelling & well planning, 3D Seismic data acquisition with Schlumberger & SVUL, 3D seismic data processing with CGG & interpretation, Q.I. and field development with Woodside, Applied Geoscience, and Reliance. 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
Overview The Equality and Diversity, Inclusion training focus on key areas where equality covers areas with people's rights and law covering diversity, handling and eradicating unlawful discrimination with the motive to have an efficient workflow environment. This is very challenging and requires a lot of knowledge, skills and understanding along with interpersonal skills to carry on Equality and Diversity.
Overview This course in Public Sector Accounting and Budgeting training seminar is designed to provide a comprehensive briefing on the fundamental principles and key functions in the continuously developing sphere of public sector finance. Non-financial public sector employees and managers are regularly required to both provide input to the budget process and respond to information presented in departmental financial reports.
Overview This course in Public Sector Accounting and Budgeting training seminar is designed to provide a comprehensive briefing on the fundamental principles and key functions in the continuously developing sphere of public sector finance. Non-financial public sector employees and managers are regularly required to both provide input to the budget process and respond to information presented in departmental financial reports.
Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assertâ¦). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.