Managing Benefits™ Practitioner: In-House Training Managing Benefits™ provides generally applicable guidance encompassing benefits management principles, practices, and techniques. The purpose of the Practitioner-level qualification is to confirm whether you have achieved sufficient understanding of how to apply and tailor the Managing Benefits guidance and, specifically, the principles, practices, techniques, roles, and documentation in a scenario situation. A Practitioner candidate should, with suitable support, be able to plan, implement, sustain, and measure benefits management while adapting to different organizational environments. You should also be able to: Identify activities that should be undertaken during each of the practices of the Benefits Management Cycle, together with the accountabilities and responsibilities of each of the defined roles Evaluate examples of benefits management information (documents) Analyse the solutions adopted in relation to a given scenario This course will prepare you to take and pass the Practitioner exam, which is held on the afternoon of the second day. Using APMG-provided sample exam papers and additional project case studies, you will learn how to apply what you've learned during the Foundation course and how to approach the scenario-based Practitioner exam, which is aimed at testing your ability to apply Managing Benefits in an actual project environment (via simulated case study). What You Will Learn You'll learn how to: Plan for the implementation of benefits management Select appropriate strategies to sustain and measure progress Select and adapt principles, practices, and techniques to suit different organizational environments Identify activities that should be undertaken during each of the practices of the Benefits Management Cycle together with the accountabilities and responsibilities of each of the defined roles Evaluate examples of benefits management information (documents) Analyse the solutions adopted in relation to a given scenario Improve your ability to pass the APMG Managing Benefits Practitioner Certification exam Introductions Course structure Course goals and objectives Overview and Principles Review Managing Benefits Practices Managing Benefits Practitioner Exam Preparation Practitioner Exam Briefing Review of and practice with APMG sample questions and test papers Sample project case study scenarios to apply the concepts in practice and deepen the learning Sample Practitioner Exam Debrief Results from Sample Practitioner Exam APMG Managing Benefits Practitioner Exam
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SAFe® for Government: In-House Training Transitioning to Lean-Agile practices for building technology-based capabilities is especially challenging in the government context. But issues of legacy governance, contracting, and organizational barriers can be overcome with the right information and strategies. During this course, attendees will learn the principles and practices of the Scaled Agile Framework® (SAFe®), how to execute and release value through Agile Release Trains, and what it means to lead a Lean-Agile transformation of a program inside a government agency. Attendees gain an understanding of the Lean-Agile mindset and why it's an essential foundation for transformation. They'll also get practical advice on building high-performing, multi-vendor Agile teams and programs, managing technology investments in Lean flow, acquiring solutions with Agile contracting, launching the program, and planning and delivering value using SAFe®. Attendees also learn how specific leadership behaviors can drive successful organizational change in government. What you will Learn To perform the role of a SAFe® for Government leader, you should be able to: Transition government programs from traditional software and systems development models to Lean-Agile and DevOps mindsets, principles, and practices using SAFe® Adapt technology strategy, budgeting and forecasting, acquisition, compliance, and governance processes to flow-based practices using emerging government guidelines Organize government programs into one or more Agile Release Trains (ARTs) and execute in Program Increments (PIs) Explore Large Solution coordination in a government and multi-vendor environment Identify and internalize the mindset and leader behaviors essential to successful Lean-Agile transformation Follow success patterns for SAFe® implementations adapted to the government context Build a preliminary outline of next steps to begin and / or accelerate the SAFe® implementation in your program or agency Advancing Lean-Agile in government Embracing a Lean-Agile mindset Understanding SAFe® Principles Creating high-performing Agile teams and programs Planning with cadence and synchronization Delivering value in Program Increments Mapping the path to agency and program agility Leading successful change
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Overcoming the challenge of public speaking - dealing with nerves, fine tuning delivery and engaging your audience with authentic confidence.
This interactive programme will use the topic of equity, diversity, and inclusion to illustrate the problem of unconscious bias and the practical solutions to overcome it. The programme will provide the opportunity for self-reflection, open discussion, and training on some of the softer skills to maximise objectivity in the workplace.
If you want to improve your or your team ability to resolve and reduce conflicts, feel free to check out my Training course focusing on conflict resolution.
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.