4760 Model courses in Leeds delivered Online

Duration 5 Days 30 CPD hours This course is intended for Candidates for this course design, develop, secure, and troubleshoot Power Platform solutions. Candidates implement components of a solution that include application enhancements, custom user experience, system integrations, data conversions, custom process automation, and custom visualizations. Candidates will gain applied knowledge of Power Platform services, including in-depth understanding of capabilities, boundaries, and constraints. Overview After completing this course, students will be able to: Create a technical design Configure Common Data Service Create and configure Power Apps Configure business process automation Extend the user experience Extend the platform Develop Integrations The Microsoft Power Platform helps organizations optimize their operations by simplifying, automating and transforming business tasks and processes. In this course, students will learn how to build Power Apps, Automate Flows and extend the platform to complete business requirements and solve complex business problems. Create a model-driven application in Power Apps This module introduces you to creating a model-driven app in Power Apps that uses Common Data Service. Get started using Common Data Service This module will explain the concepts behind and benefits of Common Data Service. Creating an environment, entities, fields and options sets are also discussed. Create a canvas app in Power Apps This module introduces you to Power Apps, helps you create and customize an app, and then manage and distribute it. It will also show you how to provide the best app navigation, and build the best UI using themes, icons, images, personalization, different form factors, and controls. Automate a business process using Power Automate This module introduces you to Power Automate, teaches you how to build workflows, and how to administer flows. Create a business process flow in Power Automate This module introduces you to creating business process flows in Power Automate Introduction to developing with Power Platform This module is the first step in learning about platform, tools, and the ecosystem of the Power Platform Extending the Power Platform user experience Model Driven apps This module describes how to create client scripting, perform common actions with client script, and automate business process flow with client scrip. Learn about what client script can do, rules, and maintaining scripts. Discover when to use client script as well as when not to use client script. Create components with Power Apps Component Framework This module describes how to get started with Power Apps Component Framework with an introductory module on the core concepts and components. Then it shows you how to build a component and work with advanced Power Apps Component Framework features. Extending the Power Platform Common Data Service This module looks at the tools and resources needed for extending the Power Platform. We'll start with looking at the SDKs, the extensibility model, and event framework. This learning path also covers when to use plug-ins. Configuration of plug-ins as well as registering and deploying plug-ins. Integrate with Power Platform and Common Data Service This module describes how to integrate with Common Data Service using code by learning about Common Data Service API. Get an in-depth overview of options available with Common Data Service to integrate data and events to Azure. Extend Power Apps portals This module describes how to transform a content portal into a full web app interacting with Common Data Service. We will also cover the options available to customizers and developers to extend the portal functionality and integrate with Office 365, Power Platform, and Azure components. Additional course details: Nexus Humans PL-400T00 Microsoft Power Platform Developer 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 PL-400T00 Microsoft Power Platform Developer 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.

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

The need for more flexibility in the usage of office space and the evolution of the shared economy have changed the paradigms of the real estate office asset class and gave rise to co-working concept. This information-packed webinar will introduce what defines a co-working space and its relationship to Real Estate as a Service. Whether you want to start a co-working business or want to invest in an office building where a co-working space is one of the tenants, we will equip you with the tools to assess the business model and the profitability of a co-working space. Join this webinar if you want to learn about the changes shaping the office space.

Better Business Cases™ Foundation: In-House Training: In-House Training Better Business Cases™ is based on the Five Case Model - which is the UK government's best practice approach to structuring spending proposals and making effective business decisions. Using this best practice approach will allow organizations to reduce unnecessary spending and improve the decision-making process which gives you a greater chance of securing necessary funding and support for initiatives. The goal of the foundation course is to enable participants to work effectively with a team to develop a strong business case in their work environment. What You Will Learn At the end of this program, you will be able to: Describe the philosophy and the underlying rationale of the Five Case Model Identify different types of business case, their purpose, who is responsible for them Recognize when the different types are required in the development of a spending proposal Develop the business case in relation to other recognized and recommended best practices for programme and project management Overview of the Five Case Model Five key components of a business case and the order in which they are presented Three key stages in the development of a spending proposal Definition of a programme / project and the key differences between programmes and projects Purpose of a Business Justification Case (BJC) and in what circumstances it should be considered Purpose of a Strategic Outline Case (SOC) Purpose of an Outline Business Case (OBC) Purpose of a Full Business Case (FBC) Relationship between policies, strategies, programmes, and projects and their deliverables Developing the Strategic Case Purpose and core content of a Strategic Case Purpose of SMART robust spending objectives and the key objectives for spend: economy, efficiency, effectiveness, re-procurement, and statutory or regulatory compliance Four main categories of benefits criteria and the parties involved in their development Three key categories of risk Purpose of identifying constraints and dependencies Difference between direct and indirect benefits Developing the Economic Case Purpose and core content of an Economic Case Purpose of critical success factors and the key critical success factors based upon the Five Case Model Purpose of the long list options and how to generate options and undertake SWOT analysis Minimum of four short-list options, how they are derived, and what they should include (Reference Project / Public Sector Comparator [PSC]) Difference between the preferred way forward and the preferred option Purpose, objectives, key participants, and outputs of Workshop Stage 2 - identifying and assessing the options Rules that should be followed for the treatment of costs and benefits Key differences between economic appraisals and financial appraisals Factors considered when selecting the preferred option Developing the Commercial Case Purpose and core content of a Commercial Case Guiding principles when apportioning risk between the contractual parties Purpose of payment mechanisms Purpose of Step 9 in the development framework: Contracting for the deal Developing the Financial Case Purpose and core content of a Financial Case The financial statements required for all projects The possible impacts to consider Developing the Management Case Purpose and core content of a Management Case Purpose of a programme / project management strategy, framework, and plan Purpose of a change management strategy, framework, and plan Purpose of a benefits realization strategy, framework, and register / plan Purpose of a risk management strategy, framework and register / plan Purpose of a post programme / project evaluation strategy, framework, and plan

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

Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

About this Training Course This 5 full-day course has been designed to develop skills in understanding the geometry and petrophysical characteristics of carbonate reservoirs. Depositional fabric, grain type and size and subsequent diagenetic modifications are the major controls on carbonate reservoir behaviour. The complex inter-relationship of the depositional and burial history can be unravelled to allow prediction of reservoir facies and reconstruction of three-dimensional reservoir models. This course will demonstrate the value of the reservoir model in volumetric assessment and development of carbonate reservoirs. *Previous knowledge of carbonate sedimentology is not required. Course Content in Summary: Carbonate reservoirs: Basic principles; depositional concepts; grain types; textures and fabrics; environmental reconstruction. The reservoir model - depositional and diagenetic characteristics: Sabkha/tidal flat; lagoon; shelf; reef (rudist and coral/algal); barrier/shoal; slope and redeposited; aeolian and lacustrine; karst plays. Carbonate diagenesis: Primary and secondary porosity; compaction; pressure solution; cementation; dolomitisation; porosity generation and destruction; fractures. Carbonate sequence stratigraphy Log response in carbonate rocks: Gamma; sonic; neutron; density; FMS. Reservoir assessment: Fracture reservoirs; reservoir modelling; volumetric assessment in correlation and mapping; effects of capillary pressure; interface with engineering. Training Objectives By attending this course, participants will be able to: Understand carbonate depositional systems and controls. Recognise and model controls on reservoir quality and pore systems, including diagenesis and fracturing. Understand and apply carbonate seismic stratigraphy and sequence stratigraphy. Interpret log responses. Target Audience This course is intended for petroleum geologists, explorationists, petrophysicists, geophysicists and engineers involved with exploration of carbonate plays and development of carbonate reservoirs. Trainer Your expert course leader is a Director and Senior Consultant Geologist who has worked on various carbonate consultancy projects, conducted detailed sedimentological, sequence stratigraphic and diagenetic technical studies and delivered training programmes. He was formerly Managing Director of Robertson UK Limited and was responsible for the integration between different disciplines, recognition, and encouragement of technical innovation and research and development programmes across all oil and gas divisions in the company. He was also responsible for all aspects of the performance of the main Geological, Geophysical and Reservoir Engineering Services in the company. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Better Business Cases™ Foundation: Virtual In-House Training Better Business Cases™ is based on the Five Case Model - which is the UK government's best practice approach to structuring spending proposals and making effective business decisions. Using this best practice approach will allow organizations to reduce unnecessary spending and improve the decision-making process which gives you a greater chance of securing necessary funding and support for initiatives. The goal of the foundation course is to enable participants to work effectively with a team to develop a strong business case in their work environment. What You Will Learn At the end of this program, you will be able to: Describe the philosophy and the underlying rationale of the Five Case Model Identify different types of business case, their purpose, who is responsible for them Recognize when the different types are required in the development of a spending proposal Develop the business case in relation to other recognized and recommended best practices for programme and project management Overview of the Five Case Model Five key components of a business case and the order in which they are presented Three key stages in the development of a spending proposal Definition of a programme / project and the key differences between programmes and projects Purpose of a Business Justification Case (BJC) and in what circumstances it should be considered Purpose of a Strategic Outline Case (SOC) Purpose of an Outline Business Case (OBC) Purpose of a Full Business Case (FBC) Relationship between policies, strategies, programmes, and projects and their deliverables Developing the Strategic Case Purpose and core content of a Strategic Case Purpose of SMART robust spending objectives and the key objectives for spend: economy, efficiency, effectiveness, re-procurement, and statutory or regulatory compliance Four main categories of benefits criteria and the parties involved in their development Three key categories of risk Purpose of identifying constraints and dependencies Difference between direct and indirect benefits Developing the Economic Case Purpose and core content of an Economic Case Purpose of critical success factors and the key critical success factors based upon the Five Case Model Purpose of the long list options and how to generate options and undertake SWOT analysis Minimum of four short-list options, how they are derived, and what they should include (Reference Project / Public Sector Comparator [PSC]) Difference between the preferred way forward and the preferred option Purpose, objectives, key participants, and outputs of Workshop Stage 2 - identifying and assessing the options Rules that should be followed for the treatment of costs and benefits Key differences between economic appraisals and financial appraisals Factors considered when selecting the preferred option Developing the Commercial Case Purpose and core content of a Commercial Case Guiding principles when apportioning risk between the contractual parties Purpose of payment mechanisms Purpose of Step 9 in the development framework: Contracting for the deal Developing the Financial Case Purpose and core content of a Financial Case The financial statements required for all projects The possible impacts to consider Developing the Management Case Purpose and core content of a Management Case Purpose of a programme / project management strategy, framework, and plan Purpose of a change management strategy, framework, and plan Purpose of a benefits realization strategy, framework, and register / plan Purpose of a risk management strategy, framework and register / plan Purpose of a post programme / project evaluation strategy, framework, and plan

Strategic Thinking: In-House Training The goal of this course is to provide you with the building blocks and the motivation to develop the critical skill of strategic thinking. The participants will consider a four-part model that distinguishes strategic thinking from strategic planning and managing. With that understanding, you will investigate the critical components of strategic thinking and how to apply it effectively. What you Will Learn Define strategic thinking and distinguish it from strategic planning and management Explain a high-level approach to gaining strategic thinking skills Integrate other interpersonal skills, such as self-awareness, systems thinking, leadership, constructive conflict, and collaboration, into the fabric of strategic thinking skills Select appropriate techniques to apply strategic thinking in specific situations Recognize and emulate effective strategic thinking behaviors Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Interactive event: Define Strategic Thinking (ST) Interactive event: Discuss relationship of ST with Strategic Planning, Management and Decision Making Strategic Level Framework - Tying it all together Strategic thinking attributes Strategic Thinking Critical Success Factors Strategic Thinking Critical Success Factors - 5-part model Strategic Thinking and the Organization Critical Success Factors Model applied to an organization Tools Introduction (5): Environmental, 5 Forces, SWOT, Value Proposition, Integral Theory of Worldview Video: Fog of War Strategic Thinking and the Individual Critical Success Factors Model applied to an individual Tools Introduction (5): Thinking Styles, Six Thinking Hats, Reverse Thinking, Systems Thinking, Integral Theory of Worldview Strategic Thinking at the Interpersonal and Team Levels Emotional Intelligence - Self Awareness and Working With Others Team Leadership and Trust Constructive Conflict as the Gateway to Collaboration Interactive event: Testing the Models - Challenge Perspective; What's Missing Applying the critical skill of Strategic Thinking Worldview: Team versus client Trusted Advisor Interactive event: Doing what is asked (Case study, wherein participants review the default case scenario prepared for this workshop and add specific details to make the scenario more relevant to their experiences / needs. Teams develop an action plan for applying ST concepts and techniques they have learned here to the situation, then compare and contrast results.)

Strategic Thinking (Virtual) The goal of this course is to provide you with the building blocks and the motivation to develop the critical skill of strategic thinking. The participants will consider a four-part model that distinguishes strategic thinking from strategic planning and managing. With that understanding, you will investigate the critical components of strategic thinking and how to apply it effectively. What You Will Learn You will learn how to: Define strategic thinking and distinguish it from strategic planning and management Explain a high-level approach to gaining strategic thinking skills Integrate other interpersonal skills, such as self-awareness, systems thinking, leadership, constructive conflict, and collaboration, into the fabric of strategic thinking skills Select appropriate techniques to apply strategic thinking in specific situations Recognize and emulate effective strategic thinking behaviors Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Interactive event: Define Strategic Thinking (ST) Interactive event: Discuss relationship of ST with Strategic Planning, Management and Decision Making Strategic Level Framework - Tying it all together Strategic thinking attributes Strategic Thinking Critical Success Factors Strategic Thinking Critical Success Factors - 5-part model Strategic Thinking and the Organization Critical Success Factors Model applied to an organization Tools Introduction (5): Environmental, 5 Forces, SWOT, Value Proposition, Integral Theory of Worldview Video: Fog of War Strategic Thinking and the Individual Critical Success Factors Model applied to an individual Tools Introduction (5): Thinking Styles, Six Thinking Hats, Reverse Thinking, Systems Thinking, Integral Theory of Worldview Strategic Thinking at the Interpersonal and Team Levels Emotional Intelligence - Self Awareness and Working With Others Team Leadership and Trust Constructive Conflict as the Gateway to Collaboration Interactive event: Testing the Models - Challenge Perspective; What's Missing Applying the critical skill of Strategic Thinking Worldview: Team versus client Trusted Advisor Interactive event: Doing what is asked (Case study, wherein participants review the default case scenario prepared for this workshop and add specific details to make the scenario more relevant to their experiences / needs. Teams develop an action plan for applying ST concepts and techniques they have learned here to the situation, then compare and contrast results.)