40670 Courses

Project Risk Management Have you been surprised by unplanned events during your projects? Are you and your project team frequently fighting fires? Well, you are not alone. Uncertainty exists in any project environment. While it's impossible to predict project outcomes with 100% certainty, you can influence the outcome, avoid potential risks, and be ready to respond to challenges that arise. In this course, you'll gain the proper knowledge needed to identify, assess, plan for, and monitor risk in your projects. You'll learn how to set up and implement risk management processes, helping you to minimize uncertainty and achieve more consistent, predictable outcomes as a result. What You Will Learn You'll learn how to: Demonstrate to others how the risk management processes in A Guide to the Project Management Body of Knowledge (PMBOK® Guide) apply to your project's environment, especially for high-risk projects Adapt these processes for a particular high-risk project team's operating principles Explain the importance of using risk management best practices at single and enterprise project levels Lead an initiative to implement risk management best practices in your project environment Foundation Concepts Risk-related definitions The risk management process High-risk projects and project failures Classical failures in implementing risk management Plan Risk Management Project risk management and governance Risk management planning for high-risk projects High-risk variations on a risk management plan Identify Risk Adapting the risk identification process for high-risk projects Recognizing risks spontaneously Confirming and structuring risk events for treatment Wrapping up risk identification for high-risk projects Perform Qualitative Risk Analysis Adapting qualitative risk analysis for high-risk projects Accelerating risk analysis Clearing risk action Wrapping up qualitative risk analysis for the next level Perform Quantitative Risk Analysis Adapting quantitative risk analysis for high-risk projects Ensuring effective risk analyses with data quality assessments Building a foundation for quantitative risk analysis Using discrete quantitative tools Using continuous quantitative tools Wrapping up quantitative risk analysis for high-risk projects Plan Risk Responses Adapting risk response planning for high-risk projects Optimizing active risk response strategies Leveraging contingencies for high project performance Wrapping up risk response planning for high-risk projects Implement Risk Responses Implementing Risk Responses Process Executing Risk Response Plans Tools and Techniques Best Practices Continuous Risk Management Monitor Risks Adapting risk monitoring for high-risk projects Optimizing risk plan maintenance Weaving risk reassessment into the project's progress Maintaining a continuous 'vigil' in high-risk project environments

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Program Management Skills: In-House Training Program managers coordinate and give oversight to the efforts of marketing groups, project teams, product delivery, maintenance and support, operations and staff from various functional groups, including suppliers, business partners, and other external bodies. The goal is to ensure that proposed business transformation, through the delivery of complex products and processes, is implemented to realize the organization's strategic benefits and objectives, for which the program was selected. The goals of this course are twofold: To provide participants with key program management principles and techniques, recognized as best practices, to enable more effective program management; and to leverage core elements of the program management life cycle, processes, tools and techniques, to enable program management effectiveness. The participant will learn and apply the principles of program management through discussions, activities, and case study exercises. What You Will Learn At the end of this workshop, you will be able to: Maximize the transformational impact of a program according to the business needs Explain management principles and techniques and apply them within a program context Implement program governance and organization that will produce expected benefits Plan for and manage benefit realization, risks, issues, and quality Manage component projects' interdependencies that are linked to both program and strategic objectives Engage program stakeholders effectively. Improve communication and action planning effectiveness for programs in organizations Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Fundamental definitions and concepts Program challenges and benefits Program best practices and success criterion Stakeholder management Governance: program management office and program boards Standard for Program Management overview Vision, Leadership, and the Business Case What is vision, why, and how? Leadership vs. Management Program business case Program Organization and Governance Program organization Program governance Program board roles and responsibilities Benefits Management Benefits explored Benefits management Benefits realization Program Management Planning Program management plan Program blueprint and roadmap Program component dossier Program tranches Program estimating Program scheduling Program Monitoring and Controlling Program Control - An Overview Program Monitoring and Controlling Monitoring and Controlling Transition Program Risk and Issue Management Risk and issue management overview Program risk management Program issue management Program Quality Management Program quality management overview Program quality management principles Program Stakeholder Management Stakeholder engagement overview Stakeholder engagement planning EI, trust, communication and stakeholder engagement Program Closure and Benefits Sustainment Program closure overview Closing the program Program benefits sustainment Summary What did we learn, and how can we implement this in our work environments?

Program Management Skills Program managers coordinate and give oversight to the efforts of marketing groups, project teams, product delivery, maintenance and support, operations and staff from various functional groups, including suppliers, business partners, and other external bodies. The goal is to ensure that proposed business transformation, through the delivery of complex products and processes, is implemented to realize the organization's strategic benefits and objectives, for which the program was selected. The goals of this course are twofold: To provide participants with key program management principles and techniques, recognized as best practices, to enable more effective program management; and to leverage core elements of the program management life cycle, processes, tools and techniques, to enable program management effectiveness. The participant will learn and apply the principles of program management through discussions, activities, and case study exercises. What You Will Learn At the end of this workshop, you will be able to: Maximize the transformational impact of a program according to the business needs Explain management principles and techniques and apply them within a program context Implement program governance and organization that will produce expected benefits Plan for and manage benefit realization, risks, issues, and quality Manage component projects' interdependencies that are linked to both program and strategic objectives Engage program stakeholders effectively. Improve communication and action planning effectiveness for programs in organizations Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Fundamental definitions and concepts Program challenges and benefits Program best practices and success criterion Stakeholder management Governance: program management office and program boards Standard for Program Management overview Vision, Leadership, and the Business Case What is vision, why, and how? Leadership vs. Management Program business case Program Organization and Governance Program organization Program governance Program board roles and responsibilities Benefits Management Benefits explored Benefits management Benefits realization Program Management Planning Program management plan Program blueprint and roadmap Program component dossier Program tranches Program estimating Program scheduling Program Monitoring and Controlling Program Control - An Overview Program Monitoring and Controlling Monitoring and Controlling Transition Program Risk and Issue Management Risk and issue management overview Program risk management Program issue management Program Quality Management Program quality management overview Program quality management principles Program Stakeholder Management Stakeholder engagement overview Stakeholder engagement planning EI, trust, communication and stakeholder engagement Program Closure and Benefits Sustainment Program closure overview Closing the program Program benefits sustainment Summary What did we learn, and how can we implement this in our work environments?

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

Management of Portfolios (MoP®) Foundation: In-House Training In this MoP® Foundation course, participants will acquire the sufficient knowledge and understanding of the principles, cycles, practices, techniques, roles, responsibilities, documents, and organizational context within which portfolio management operates. MoP helps organizations ensure if the investments are done in the right change initiatives and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What You Will Learn Individuals certified at the MoP Foundation level will be able to: Define the scope and objectives of portfolio management and how it differs from program and project management List the benefits of applying portfolio management Explain the context it operates in List the principles upon which successful portfolio management is based on List the different approaches to implement MoP List the factors required to maintain the progress and assess the success of portfolio management State the purpose and key content of the major portfolio documents Define the scope of key portfolio management roles Introduction: MoP Scenario Background of the Methodology The MoP Principles Senior Management Commitment Governance Alignment Strategy Alignment Portfolio Office Energized Change Culture The MoP Definition Cycle Roles and Responsibilities The MoP Delivery Cycle Management control Benefits management Financial management Risk management Stakeholder engagement Organizational governance Resource management The MoP Framework Recap

Key Tools and Knowledge for Team Leading Certification Understanding the key instruments and information for group pioneers is fundamental for anyone at present or possibly satisfying a position of authority, regardless of the size or extension. This course gives an exhaustive knowledge into each part of being a group chief, including the group driving styles, the attributes of a powerful group pioneer and how to spur and motivate your group. From the obligations of being a group chief to methods you can apply in your job to improve your administration, this course covers all that anybody in an influential position requires to know. You Will Learn The meaning of group driving and what it involves The distinctive administration styles and methodologies The qualities which characterize a successful group pioneer What a group chief's obligations are and how to effectively satisfy them Instructions to inspire your staff and group building procedures Advantages Of Taking This Course You will improve as a group chief by applying fruitful administration strategies You will significantly expand your odds of getting a group chief situation at work You will comprehend both the qualities and obligations of being a fruitful group pioneer You will figure out how to rouse your associates and your group

Project Estimating and Scheduling: Virtual In-House Training Establishing realistic estimates and goals for projects that support business objectives and meet client expectations is one of the most challenging aspects of project planning. Delivering those results within the agreed-upon time, cost, and quality constraints is also challenging. Attempting to meet impossible deadlines with limited budgets often leads to unplanned product shortfalls, causing long-term support and utilization problems. We have all anguished about this recurring problem, but without having the skills or knowledge to take action, we are unable to break the cycle! The goal of this course is for you to be able to support business objectives and meet client expectations by selecting the right planning approach for realistic and cost effective schedules, as well as project budgets. To achieve that, you will focus on gaining the necessary knowledge, skills, and techniques. What You Will Learn At the end of this program, you will be able to: Use the work breakdown structure (WBS) as the basis for effective estimating of project resources Estimate effort and duration using a variety of techniques Develop preliminary schedules using the critical path method Apply a variety of optimization techniques to refine preliminary schedules Establish realistic schedule and cost baselines, with appropriate contingency reserves Explain how earned value management (EVM) contributes to control time and cost performance Foundation Concepts Project management basic definitions and concepts PES Key driver: competing constraints PES Process and success factors Project Definition and the WBS Project definition overview Work Breakdown Structure (WBS) Decomposition: WBS development technique Resource Planning Resource planning overview Identifying resource requirements Identifying and filling resource gaps Applying resource planning tools Effort and Duration Estimating Estimating overview Estimating perspectives and approaches Estimating techniques Effort and duration estimating best practices Project Scheduling Overview of project scheduling Dependencies and the project network diagram Critical path method (CPM) Optimizing the schedule Budget, Risk, and Contingency Planning Overview of budget, risk, and contingency planning Estimating costs Determining the budget Project risk management processes Planning contingency reserves Project Baseline and Control Overview of project baseline Negotiating and the project baseline Earned value management (EVM) Project variances and actions Project control

Management of Portfolios (MoP®) Foundation: Virtual In-House Training In this MoP® Foundation course, participants will acquire the sufficient knowledge and understanding of the principles, cycles, practices, techniques, roles, responsibilities, documents, and organizational context within which portfolio management operates. MoP helps organizations ensure if the investments are done in the right change initiatives and implementing them correctly. This is achieved by: Prioritizing the programs and projects in terms of their contribution to the organization's strategic objectives and overall level of risk Managing the programs and projects consistently to ensure efficient and effective delivery Maximizing the benefit by providing the greatest return from the investment made What You Will Learn Individuals certified at the MoP Foundation level will be able to: Define the scope and objectives of portfolio management and how it differs from program and project management List the benefits of applying portfolio management Explain the context it operates in List the principles upon which successful portfolio management is based on List the different approaches to implement MoP List the factors required to maintain the progress and assess the success of portfolio management State the purpose and key content of the major portfolio documents Define the scope of key portfolio management roles Introduction: MoP Scenario Background of the Methodology The MoP Principles Senior Management Commitment Governance Alignment Strategy Alignment Portfolio Office Energized Change Culture The MoP Definition Cycle Roles and Responsibilities The MoP Delivery Cycle Management control Benefits management Financial management Risk management Stakeholder engagement Organizational governance Resource management The MoP Framework Recap

Management of Value (MoV®) Foundation This interactive MoV® Foundation course provides a modular and case-study-driven approach to learning Management of Value (MoV). The core knowledge is structured and comprehensive; and well-rounded modules cover the methodology and various techniques. A case study is used to help appreciate the relevance of MoV in its practical application. What you will Learn Upon completion of an MoV course candidates should be able to discuss and explain: The main processes and techniques used within MoV and the reasons for using them How MoV may be applied at portfolio, program, project and operational levels The differences in applying MoV at different stages in a project and the expected outputs from a MoV Study at each stage The circumstances under which MoV should be used The concept of value and how value may be improved The main benefits arising from the use of MoV Approaches for implementing MoV How to respond to external and internal influences The principles of embedding MoV into an organization The key topics in document checklists, the toolbox, health check, organizational maturity and individual competence. Upon successful completion of this course, you will be able to: Organize and contribute constructively to a Management of Value (MoV) Study Demonstrate a knowledge of MoV principles, processes, approach and environment Analyse a company, program or project to establish its organizational value; includes identification and weighting of Value Drivers Pass the AXELOS MoV Foundation Examination Introduction to value management and MoV Value and Value Management Capabilities, Outcomes, Benefits and Disbenefits What is Value? What is Management of Value (MoV)? Why use MoV? Where use MoV? When MoV should be used? What using MoV involve? Selected MoV benefits Relationship with other AXELOS Global Best Practices and Models How MoV fits with other AXELOS Global Best Practice Guides MoV principles Align with organization's objectives Focus on functions and required outcomes Balance the variables to maximise value Apply throughout the investment decision Tailor MoV to suit the subject Learn from experience and improve Assign clear roles and responsibilities and build a supportive culture MoV processes Frame the programme or project Gather information Analyse information Process information Evaluate and select Develop Value Improving Proposals Implement and share outputs MoV techniques Function Analysis Function Analysis System Technique (FAST) Traditional (or classic) FAST Technical FAST Customer FAST Value Trees Measuring value Value profiling (a.k.a. value benchmarking) Simple multi-attribute rating technique (a.k.a. SMART) Value index Value metrics Value for money (VfM) ratio Value Engineering / Analysis Common techniques used in MoV Analysis of information Benchmarking Process Mapping Root Cause Analysis Discounted Cash Flow Analysis Generating Ideas Brainstorming Evaluation and option selection Option Selection Matrix Idea selection Allocation to Categories Idea Selection Matrix Weighting techniques Paired Comparisons Points Distribution Developing VIPs Developing Proposals Cost Benefit Analysis Building Decisions Implementing VIPs Implementation Plans Feedback Following up Tracking Benefits Approach to Implementation Generic approach to MoV implementation Plan the MoV activities Understand and articulate value Prioritize value Improve value Quantify value Monitor improvements in value Learn lessons Environmental factors Portfolio Considerations Programme considerations Project considerations Operational Considerations Embedding MoV into an organization Benefits of Embedding MoV into an organization MoV Policy MoV Policy Composition Embedding MoV into an organisation Key steps Suggested MoV Management Structure Overcoming barriers We do it anyway It takes up too much time We can't afford to make the changes What's in it for me? Don't fix it if it ain't broke Fixed returns on investment MoV products Briefing Meeting Agenda (A.1) Communications Checklist (A.2) Equipment list for an Effective Study/Workshop (A.3) Invitation to join the Study Team (A.4) Option Evaluation Matrix (A.5) Plan the Study (A.6) Recording Idea Selection (A.7) Reporting Study outputs (A.8) Scoping the Study (A.9) Study or Workshop Handbook (A.10) Value-Improvement Proposal Forms (A.11) Value Improvement Tracking Report (A.12) MoV toolbox MoV health check and maturity model P3M3 Maturity Model MoV Maturity Model (aligned with P3M3)