AgilePM® Foundation and Practitioner Passport: On-Demand AgilePM® Foundation and Practitioner Passport is your route to achieving the AgilePM® certification at your own pace. This on-demand course is accredited by APMG to support self-study distance learning for the AgilePM® Foundation and Practitioner examinations. What You Will Learn You'll learn how to: Understand Agile Project Management based on the internationally recognized framework of DSDM Atern Become immediately productive in an agile project environment Identify the difference between simple lightweight agile approaches which typically operate at the solution delivery (or 'work package') level and the greater holistic view of how multiple work streams are coordinated with the appropriate level of governance and control Getting Started Fundamentals and the Philosophy Principles Preparation Lifecycle and Products Team Structures Roles and Responsibilities Communication MoSCoW and Timeboxing Lifecycle Configuration Estimation and Measurement Quality and Maintainability Planning, Control, and Risk Implementing AgilePM® Examination Approaches
Accredited through APMG International, certified in the UK by the National Cyber Security Centre (NCSC) and listed as qualified cyber training by Department of Homeland Security Cybersecurity and Infrastructure Security Agency (DHS CISA) in the USA, the NIST Cyber Security Professional (NCSP®) training program teaches individuals and organizations how to engineer, operationalize, and continually improve a NIST Cybersecurity Framework program. This introductory level, non-examinable NCSP® Digital Business Risk Awareness Certificate course takes learners on a journey to understand how the ever-changing cyber threat landscape impacts an organization's ability to secure the value of its digital business services. The course will allow participants to apply what they learn in a real-world environment.
About this Virtual Instructor Led Training (VILT) This 5 half-day course provides a detailed description of all performance testing methods for all thermal power plant equipment including boilers, turbines, condensers, pumps, fans, deaerators, and feedwater heaters. The methodology, and code requirements for the performance tests for all thermal power plant equipment will be explained in detail. The preparatory work and instrumentation required for each test will also be covered during the course. The efficiency calculations for all equipment used in circulating fluidized bed (CFB) boiler and pulverized coal boiler power plants will be explained, including all processes, operational and maintenance activities, capital projects, technical options, potential initiatives and incentives to implement upgrades / repairs for increasing the power plant equipment efficiency. The course will also provide a thorough explanation of CFB and pulverized coal boiler technology including hydrodynamics, combustion, emissions, design considerations, gas-solid separators, design of CFB and pulverized coal boiler components, management of solid residues, materials, stoichiometric calculations, and model for sulfur capture. The operation, maintenance, testing, and refurbishment options of all the equipment and systems used in CFB and pulverized coal power plants will be presented, including boilers, superheaters, reheaters, turbines, condensers, feedwater heaters, deaerators, pumps, compressors, fans, electric generators, instrumentation and control systems, and governing systems, etc. The participants will get equipped on all factors which affect the CFB and pulverized coal boiler power plant efficiency and emissions, all methods used to calculate the heat rate of CFB and pulverized coal power plants as well as all areas in CFB and pulverized coal boiler power plants where efficiency loss can occur. Updated information on the methods used to improve CFB boiler and pulverized coal boiler power plant heat rate will also be provided. It includes: Optimizing the combustion process and sootblowing Controlling the steam temperature Recovering moisture from boiler flue gas Performing steam turbine maintenance Lowering condenser back pressure Pre-drying high moisture coal and reducing stack temperature Training Objectives Thermal Plant Performance Testing: Gain a thorough understanding of all the performance testing methods for all thermal power plant equipment including boilers, turbines, condensers, pumps, fans, daerators, and feedwater heaters Performance Test Methodology and Code Requirements: Understand the methodology, and code requirements for performance tests of all thermal power plant equipment Performance Test Preparatory Work and Instrumentation: Learn about the preparatory work and instrumentation required for each equipment performance test in a thermal power plant Equipment Efficiency Calculations: Gain a thorough understanding of the efficiency calculations for all the equipment used in circulating fluidized bed (CFB) boilers and pulverized coal boilers power plants Calculating the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Learn all the methods used to calculate the heat rate of CFB and pulverized coal boiler coal power plants Benefits of Lowering the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Understand all the benefits of lowering the heat rate of CFB coal power plants Methods Used to Improve CFB and Pulverized Coal Boiler Power Plants Heat Rate: Gain a thorough understanding of all the methods used to improve the heat rate of CFB and pulverized boiler coal power plants Processes, Operational and Maintenance Activities in CFB and Pulverized Coal Boiler Power Plants: Discover all the processes, operational and maintenance activities used to improve the heat rate of CFB and pulverized coal power plants Capital Projects Used to Improve the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Learn about all the capital projects used to improve the heat rate of CFB and pulverized coal power plants Technical Options for Improving the Heat Rate of CFB and Pulverized Coal Boiler Power Plants: Understand all the technical options used to improve the heat rate of CFB and pulverized coal boiler power plants Potential Initiatives and Incentives to Implement Upgrades / Repairs for Improving the Heat Rate of CFB and Pulverized Coal Bed Boiler Power Plants: Discover all the potential initiatives and incentives to implement upgrades / repairs for improving the heat rate of CFB and pulverized coal power plants Factors Affecting CFB and Pulverized Coal Boiler Power Plants Efficiency and Emissions: Learn about all the factors which affect CFB and pulverized coal boiler power plants efficiency and emissions Areas in CFB and Pulverized Coal Power Plants where Efficiency Loss Can Occur: Discover all the areas in CFB and pulverized coal power plants where efficiency loss can occur Optimize the Operation of CFB and Pulverized Coal Power Plant Equipment and Systems to Improve the Plant Heat Rate: Understand all the techniques and methods used to optimize the operation of CFB and pulverized coal power plant equipment and systems to improve the plant heat rate CFB and Pulverized Coal Power Plant Equipment and Systems: Learn about the various types of CFB and pulverized coal power plant equipment and systems including boilers, superheater, reheaters, steam turbines, governing systems, deaerators, feedwater heaters, coal-handling equipment, transformers, generators and auxiliaries Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Training Methods The VILT will be delivered online in 5 sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. The instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all the delegates gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Trainer Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Each delegate will receive a soft copy of the following materials written by the instructor: 'POWER GENERATION HANDBOOK' second edition published by McGraw-Hill in 2012 (800 pages) Excerpt of the relevant chapters from the 'POWER PLANT EQUIPMENT OPERATION AND MAINTENANCE GUIDE' published by McGraw-Hill in 2012 (800 pages) THERMAL POWER PLANT PERFORMANCE TESTING MANUAL (includes practical information about all the performance testing methods for all thermal power plant equipment - 400 pages) 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 about post training coaching support and fees applicable for this. Accreditions And Affliations
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.
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During the past several years, ESG has gained plenty of prominence throughout the corporate world as a growing number of organisations have started embracing its three pillars and setting up programmes targeting issues such as climate change, diversity, equity and inclusion, employee benefits, executive bonus structures, and more. Pressure from stakeholders, the upcoming generation of professionals and consumers, and society at large have made it a crucial part of any organisation’s strategy to look after their activities and performance in these areas. In many cases, these organisations’ growth, stability, and continuity as businesses are at stake. As part of this programme, you will pick up the ins and outs of ESG from a compliance and reporting perspective and be better prepared to help your organisation develop a sound, effective, and long-term strategy to tackle all ESG issues.
SAFe® for Government: Virtual 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
Duration 5 Days 30 CPD hours This course is intended for A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course will teach you to use Microsoft Power Platform solutions to simplify, automate, and empower business processes for organizations in the role of a Functional Consultant. A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course may contain a 1-day Applied Workshop. This workshop will allow you to practice your Functional Consultant skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows. Prerequisites Experience as an IT professional or student Working knowledge of Microsoft Power Platform and its key components Knowledge of Microsoft Dataverse (or general data modeling) and security concepts 1 - Describe the business value of the Microsoft Power Platform Explore Microsoft Power Platform Describe the business value of the Power Platform Explore connectors and Microsoft Dataverse Describe how Power Platform works with Microsoft 365 apps and services Explore how Power Platform works with Microsoft Teams Describe how Power Platform works with Microsoft Dynamics 365 apps Describe how Power Platform solutions consume Microsoft Azure services Explore how Microsoft Power Platform apps work together Use Artificial Intelligence to increase productivity 2 - Core components of Power Pages Get started with Power Pages Core tools and components of Power Pages Overview of Power Pages security Overview of Power Pages extensibility 3 - Explore Power Pages templates Site design templates Scenario-based templates Dynamics 365 Power Pages site templates 4 - Explore Power Pages design studio Work with pages Page components Site styling and templates 5 - Explore Power Pages design studio data and security features Data workspace in Power Pages design studio Power Pages security features 6 - Introduction to Power Pages administration Power Pages administrative tools Set up workspace in Power Pages design studio 7 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 8 - Get data with Power BI Desktop Overview of Power BI Desktop Explore Power BI Desktop Connect to data sources Get data from Excel Transform data to include in a report Combine data from multiple sources Clean data to include in a report 9 - Model data in Power BI How to manage your data relationships Create calculated columns Optimize data models Create measures Create calculated tables Explore time-based data 10 - Use visuals in Power BI Create and customize simple visualizations Create slicers Map visualizations Matrices and tables Create scatter, waterfall, and funnel charts Modify colors in charts and visuals Page layout and formatting 11 - Explore data in Power BI Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Display visuals and tiles in full screen Edit tile details and add widgets Get more space on your dashboard 12 - Publish and share in Power BI Publish Power BI Desktop reports Print and export dashboards and reports Introducing Power BI Mobile Create workspaces in Power BI Build apps Use apps Integrate OneDrive for Business with Power BI Publish to web 13 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 14 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 15 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 16 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method 17 - Create tables in Dataverse Table characteristics Table relationships Dataverse logic and security Dataverse auditing Dual-write vs. virtual tables 18 - Manage tables in Dataverse Identify tables and table types in Dataverse Create a custom table Enable attachments within a table Licensing requirements for each table type 19 - Create and manage columns within a table in Dataverse Define columns in Microsoft Dataverse Column types in Microsoft Dataverse Add a column to a table Create a primary name column Restrictions that apply to columns in a table Create an auto numbering column Create an alternate key 20 - Create a relationship between tables in Dataverse Relate one or more tables - Introduction Relationship types that are available in Microsoft Dataverse Create a one-to-many relationship between tables Create a many-to-many relationship between tables Edit or delete relationships 21 - Working with choices in Dataverse Define choice column Standard choices column 22 - Get started with security roles in Dataverse Understand environment roles Adding or disabling an environment user Understand security concepts in Dataverse Understand user security roles and security role defaults Check the roles that a user belongs to Configure Dataverse teams for security Configure Dataverse group teams for security 23 - Use administration options for Dataverse Use Microsoft Power Platform Admin Center portal Tenant storage capacity Advanced Customization options in Power Apps Portal Enable and disable auditing 24 - Manage Dynamics 365 model-driven app settings and security Configure role-based security Manage teams and business units Explore settings and customizations 25 - Introduction to Microsoft Power Platform security and governance Identify Microsoft Power Platform environments Data Loss Prevention policies Microsoft Power Platform Center of Excellence Starter Kit 26 - Get started with model-driven apps in Power Apps Introducing model-driven apps Components of model-driven apps Design model-driven apps Incorporate business process flows 27 - Configure forms, charts, and dashboards in model-driven apps Forms overview Form elements Configure multiple forms Use specialized form components Configure views overview Configure grids Create and edit views Configure charts overview Dashboards overview Use interactive streams and tiles 28 - Get started with Power Apps canvas apps Power Apps building blocks Ways to build Power Apps Power Apps related technologies Additional Power Apps related technologies Designing a Power Apps app 29 - Connect to other data in a Power Apps canvas app Overview of the different data sources Work with action-based data sources Power Automate is a companion to Power Apps 30 - How to build the UI in a canvas app in Power Apps Use themes to quickly change the appearance of your app Branding a control Icons Images Personalization Using the tablet or phone form factors 31 - Manage apps in Power Apps Power Apps review 32 - Build your first app with Power Apps and Dataverse for Teams Create your first app with the hero template Customize your app with Power Apps Studio Publish your app Install template apps 33 - Access Dataverse in Power Pages websites Use lists to display multiple Dataverse records Use forms to interact with Dataverse data 34 - Authentication and user management in Power Pages Power Pages authentication settings User registration in Power Pages Authentication management for Power Pages users Power Pages authentication providers 35 - Power Pages maintenance and troubleshooting Power Pages website maintenance Power Pages website troubleshooting 36 - Define and create business rules in Dataverse Define business rules - Introduction Define the components of a business rule Create a business rule 37 - Get started with Power Automate Introducing Power Automate Troubleshoot flows 38 - Use the Admin center to manage environments and data policies in Power Automate Administer flows Export and import flows Learn how to distribute button flows 39 - Use Dataverse triggers and actions in Power Automate Dataverse triggers Query data Create, update, delete, and relate actions 40 - Extend Dataverse with Power Automate Set up a flow and configure its trigger Email Dataverse record Add to-do items Test and run your flow 41 - Introduction to expressions in Power Automate Get started with expressions Notes make things easier Types of functions Write complex expressions 42 - Build your first Power Automate for desktop flow Set up the environment Explore Power Automate for desktop Create your first Power Automate for desktop flow Record Power Automate for desktop actions Edit and test recorded actions 43 - Run a Power Automate for desktop flow in unattended mode Set up an unattended desktop flow Create a new cloud flow that calls an existing flow in unattended mode Perform a test run Best practices 44 - Optimize your business process with process advisor Get familiar with process advisor Create your first recording Edit recordings and group actions Analyze recordings and interpret results Automation recommendations 45 - Get started with Microsoft Copilot Studio bots Get started working with environments Create bots and work with the Microsoft Copilot Studio interface Create topics Test bots Publish bots and analyze performance 46 - Enhance Microsoft Copilot Studio bots Use Power Automate to add actions Transfer conversations to agents by using Omnichannel for Customer Service Create topics for existing support content Analyze bot performance 47 - Manage topics in Microsoft Copilot Studio Work with bot topics Branch a topic Create topics for existing support content Work with system fallback topics Manage topics 48 - Manage Power Virtual Agents Environments in Microsoft Copilot Studio Bot topics permissions Bot entities and flow permissions Monitor and diagnose Administer and manage Export and import bots Authentication 49 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 50 - Get data with Power BI Desktop Overview of Power BI Desktop Explore Power BI Desktop Connect to data sources Get data from Excel Transform data to include in a report Combine data from multiple sources Clean data to include in a report 51 - Model data in Power BI How to manage your data relationships Create calculated columns Optimize data models Create measures Create calculated tables Explore time-based data 52 - Use visuals in Power BI Create and customize simple visualizations Create slicers Map visualizations Matrices and tables Create scatter, waterfall, and funnel charts Modify colors in charts and visuals Page layout and formatting 53 - Explore data in Power BI Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Display visuals and tiles in full screen Edit tile details and add widgets Get more space on your dashboard 54 - Publish and share in Power BI Publish Power BI Desktop reports Print and export dashboards and reports Introducing Power BI Mobile Create workspaces in Power BI Build apps Use apps Integrate OneDrive for Business with Power BI Publish to web 55 - Manage solutions in Power Apps and Power Automate Add and remove apps, flows, and entities in a solution Edit a solution-aware app, flow, and table Build and deploy a complex solution with flows, apps, and entities Automate solution management 56 - Load/export data and create data views in Dataverse View data in a table Create or edit views of data in a table Load data into a table Export data from a table Add, update, or delete data in a table by using Excel Import data using Power Query Generate a new dataflow from an Excel Template Dataflow and Azure integration 57 - Get started with AI Builder Choose an AI capability Create your first model Ways to use your models 58 - Manage models in AI Builder Model lifecycle Manage model versions Share your models 59 - Use AI Builder in Power Automate AI Builder in Power Automate saves time Advanced usage of AI Builder in Power Automate 60 - Functional Consultant skills Create entity relationship diagrams Create and document mock-ups Document functional requirements and artifacts Complete fit-gap analysis Discuss stakeholder management responsibilities Understand industry accelerators Define Application Lifecycle Management Participate in testing Evaluate options Define connectors Understand Power Apps component framework 61 - Solution Architect series: Plan application lifecycle management for Power Platform Key considerations for ALM Solutions Configuration and reference data Release process ALM with Azure DevOps
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