4757 Model courses delivered Online

This programme has been specifically designed to help experienced trainers, facilitators and coaches use Everything DiSC and the Five Behaviours assessments, and deliver workshops, with their own clients and in-house teams.

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

Business Process Modeling: In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?

A 5-day intensive, practical course covering model-making skills for theatre, film, animation or spatial design. Led by David Neat from his studio in Deptford.

Business Process Modeling: Virtual In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?

EFQM Certified Model Foundation Course The EFQM Foundation course will help you to benchmark and improve the performance of every organisation by using the new EFQM Model and RADAR diagnostic tool, version 2025! This is a two-day online course, delivered via a mix of work-rooms, presentations, videos, and one-to-one support. This course is credited as part of the admission to the EFQM Assessor, Performance Improvement Practitioner or Excellence Practitioner courses. Who is the EFQM Certified Model Foundation course for? This is the essential course for anyone who wants to find out about the EFQM Model and RADAR and how these tools can benefit an organisation. This course is suitable for anyone who wants to understand the new EFQM Model and how it can be used to make their organisation more effective. Whilst this training is effective as a stand-alone course, it is also a pre-requisite for anyone considering one of the EFQM qualification routes as a way of progressing their management development and career. At the end of the course, you will be able to: - demonstrate how the EFQM Model could benefit your organisation and how it could be used to overcome current and future challenges - explain how the Model is structured and how the different elements apply to your organisation - start applying the RADAR as both a diagnostic tool - to identify strengths and areas for improvement – and a performance improvement methodology - conduct a high-level self-assessment of your organisation - understand the opportunities provided by EFQM data and insights - gain an insight into the alternative uses of the EFQM Model The EFQM Foundation Course Training Programme Following the welcome and introduction, this course comprises of 9 modules: Module 0: Welcome & course objectives Module 1: Why we need a model to face & master complexity? Why the EFQM Model? Module 2: Introduction to the EFQM Model Module 3: The Model (part 1): Direction Module 4:The Model (part 2): Execution Module 5: The Model (part 3): Results Module 6: RADAR Module 7: Assessment Module 8: Data & Insights Module 9: Next steps Delivery The course is delivered through a virtual trainer led live class Cost £800 + VAT If you are not yet a member but are already thinking about joining CforC, you can find more information on how to become a member and the benefits by clicking here.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for existing IT professionals who have some networking knowledge and experience and are looking for a single course that provides insight into core and advanced networking technologies in Windows Server. This audience would typically include: Network administrators who are looking to reinforce existing skills and learn about new networking technology changes and functionality in Windows Server. System or Infrastructure Administrators with general networking knowledge who are looking to gain core and advanced networking knowledge and skills on Windows Server. Overview Plan and implement an IPv4 network. Implement Dynamic Host Configuration Protocol (DHCP). Implement IPv6. Implement Domain Name System (DNS). Implement and manage IP address management (IPAM). Plan for remote access. Implement DirectAccess. Implement virtual private networks (VPNs). Implement networking for branch offices. Configure advanced networking features. Implement Software Defined Networking. 55343A is the Community Courseware equivalent of retired Legacy Course 20741BC - Networking with Windows Server 2016. This 5-day classroom-based course provides the fundamental networking skills required to deploy and support Windows Server in most organizations. It covers IP fundamentals, remote access technologies, and more advanced content including Software Defined Networking. Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and Server 2019. Prerequisites In addition to professional experience, students who attend this training should already have the following technical knowledge: Experience working with Windows Server Knowledge of the Open Systems Interconnection (OSI) model Understanding of core networking infrastructure components and technologies such as cabling, routers and switches Familiarity with networking topologies and architectures such as local area networks (LANs), wide area networks (WANs) and wireless networking Some basic knowledge of the TCP/IP protocol stack, addressing and name resolution Experience with and knowledge of virtualization Hands-on experience working with the Windows client operating systems such as Windows 10 or Windows 11 1 - Planning and implementing an IPv4 network Planning IPv4 addressing Configuring an IPv4 host Managing and troubleshooting IPv4 network connectivity 2 - Implementing DHCP Overview of the DHCP server role Deploying DHCP Managing and troubleshooting DHCP 3 - Implementing IPv6 Overview of IPv6 addressing Configuring an IPv6 host Implementing IPv6 and IPv4 coexistence Transitioning from IPv4 to IPv6 4 - Implementing DNS Implementing DNS servers Configuring zones in DNS Configuring name resolution between DNS zones Configuring DNS integration with Active Directory Domain Services (AD DS) Configuring advanced DNS settings 5 - Implementing and managing IPAM Overview of IPAM Deploying IPAM Managing IP address spaces by using IPAM 6 - Remote access in Windows Server Overview of remote access Implementing the Web Application Proxy 7 - Implementing DirectAccess Overview of DirectAccess Implementing DirectAccess by using the Getting Started Wizard Implementing and managing an advanced DirectAccess infrastructure 8 - Implementing VPNs Planning VPNs Implementing VPNs 9 - Implementing networking for branch offices Networking features and considerations for branch offices Implementing Distributed File System (DFS) for branch offices Implementing BranchCache for branch offices 10 - Configuring advanced networking features Overview of high performance networking features Configuring advanced Microsoft Hyper-V networking features 11 - Implementing Software Defined Networking Overview of SDN. Implementing network virtualization Implementing Network Controller

Overview Objective Understanding the Importance of Business Analysis Model Determining various techniques of Process Modelling Understanding the scope of modelling Efficiently mapping the business landscape Analysing the enterprise structure How to avoid project failures. Learning efficient skills of being a successful business analyst. Understand and document various techniques for the organization delivers value. Successful project conversion Building team, changing the organization and overcoming resistance. Creating an effective Business Case.

Duration 2 Days 12 CPD hours This course is intended for This class has something for everything, from beginners who wish to customise their data entry forms in SharePoint right up to advanced users who need to use advanced formulas to deliver more bespoke actions to their apps. Overview After taking this course, students will be able to: - Understand when to use PowerApp. - Describe the components of PowerApps and their correct use. - Create PowerApps from existing data sources. - Brand PowerApps. - Customize PowerApps beyond just using the automated wizards. - Connect to a range of data sources from Excel to Azure SQL. - Understand the difference between canvas apps and model-driven apps. - Integrate PowerApps with other Office 365 systems ? including Teams and SharePoint Online. - Administer and Maintain PowerApps Students will be taught how to design, test and publish new apps that work with a variety of data sources. We will take users through a selection of well-crafted lessons to help them build new applications for their business. 1 - AN INTRODUCTION TO POWERAPPS What is PowerApps? The benefits of apps How to get PowerApps Canvas Apps and Model-Driven Apps License Options and Costs Discover PowerApps with Templates Lab 1: Introduction to PowerApps 2 - GETTING STARTED WITH POWERAPPS Building a new app from a data source Add, edit and remove controls Intro to Formulas Testing an app App Settings Publish and Share Apps Version History and Restore PowerApps Mobile App Lab 1: Getting Started 3 - BRANDING AND MEDIA Less is more Duplicate Screens Fonts Screen Colours and Matching Colours Screen Backgrounds Buttons and Icons Hide on Timer Size and Alignment by reference Show and Hide on Timer Lab 1: Branding and Media 4 - POWERAPPS CONTROLS Text Controls for Data Entry and Display Controls ? Drop downs, combo box, date picker, radio button and more Forms ? Add and edit data in underlying data sources quickly Charts ? present information in pie, line and bar charts Lab 1: Build Apps from Blank 5 - DATA SOURCES AND LOGIC Data Storage and Services How do I decide which database to use? Connect to on-premises data - Gateway What is Delegation? Specific Data Examples Displaying Data Lab 1: Data Source and Logic 6 - MODEL-DRIVEN APPS What is a model-driven app? Where will my data be stored? How do create a model-driven app Canvas vs model-driven summary Lab 1: Model-Driven App 7 - POWERAPP INTEGRATION Embed PowerApps in Teams Embed PowerApps in SharePoint Online Start a Flow from a PowerApp Lab 1: PowerApp Integration 8 - ADMINISTRATION AND MAINTENANCE OF POWERAPPS Identify which users have been using PowerApps Reuse an app in another location (move from testing or development to production) Review app usage Prevent a user from using PowerApps Manage environments Lab 1: Administration and Maintenance Additional course details: Nexus Humans 55265 Microsoft PowerApps training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55265 Microsoft PowerApps course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution