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Duration 1 Days 6 CPD hours This course is intended for Candidates for this exam are users who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences. Overview After completing this course, you will be able to: Describe Microsoft Power Platform components Describe Microsoft Dataverse and connectors Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services Identify benefits and capabilities of Microsoft Power Platform Identify the basic functionality and business value Microsoft Power Platform components Implement simple solutions with Power Apps, Power Automate, and Power BI Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Dataverse, build a Power BI Dashboard, and automate processes with Power Automate. Module 1: Introduction to Microsoft Power Platform Identify when to use each Microsoft Power Platform component application to create business solution Learn the value of using Microsoft Power Platform to create business solutions Learn the components and features of Microsoft Power Platform Module 2: Introduction to Microsoft Dataverse Microsoft Dataverse Overview Module 3: Get Started with Power Apps Introduction to Power Apps How to build a canvas app How to build a model-driven app Module 4: Get Started with Power Automate Power Automate Overview How to Build an Automated Solution Module 5: Get Started with Power BI Power BI Overview How to Build a Simple Dashboard Module 6: Introduction to Power Virtual Agents Power Virtual Agents overview Additional course details: Nexus Humans PL-900T00 Microsoft Power Platform Fundamentals 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-900T00 Microsoft Power Platform Fundamentals 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.

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Course Objectives At the end of this course you will be able to: Identify the common objects of an Access database Design and build the structure of a database Input and maintain data Design user-friendly data entry forms Search the database using queries Generate reports from your data 1 year email support service Take a look at the consistent excellent feedback from our corporate clients visiting our site ms-officetraining co uk With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Tailored in company training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Introducing Microsoft Access The Access interface Database terminology Access database objects Fields and records Properties Designing a database Planning and designing a table Creating fields Setting common field properties Defining key fields Working with table data Entering and editing data Sorting and filtering table records Deleting records Relationships Why use table relationships? Relationship types Referential Integrity Working with table subdatasheets Querying a database Creating simple Select Queries Specifying query criteria Sorting query results Adding calculated fields Designing Forms Creating simple forms for data entry Designing custom forms Working with form sections Creating sub forms Designing Reports Creating basic list reports Working with grouping and sorting in a report Adding totals to a report Who is this course for? Who is this course for? This course is intended for the user that wants to explore the creation of a relational database. It will focus on the structuring of the database itself and the creation of the basic functional elements of a database in order to manage data. Requirements Requirements Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills Career path Career path Microsoft Office know-how can instantly increase your job prospects as well as your salary. 80 percent of job openings require spreadsheet and word-processing software skills

Duration 3 Days 18 CPD hours This course is intended for System administrators and operators who are operating in the AWS Cloud Informational technology workers who want to increase the system operations knowledge. Overview Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar Manage access to AWS resources using AWS accounts and organizations and AWS Identity and Access Management (IAM) Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment Automate resource deployment by using AWS services, such as AWS CloudFormation and AWS Service Catalog Use AWS services to manage AWS resources through CloudOps lifecycle processes, such as deployments and patches Configure a highly available cloud environment that uses AWS services, such as Amazon Route 53 and Elastic Load Balancing, to route traffic for optimal latency and performance Configure AWS Auto Scaling and Amazon EC2 Auto Scaling to scale out your cloud environment based on demand Use Amazon CloudWatch and associated features, such as alarms, dashboards, and widgets, to monitor your cloud environment Manage permissions and track activity in your cloud environment by using AWS services, such as AWS CloudTrail and AWS Config Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service State the purpose, benefits, and appropriate use cases for mountable storage in your AWS Cloud environment Explain the operational characteristics of object storage in the AWS Cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier Build a comprehensive cost model to help gather, optimize, and predict your cloud costs by using services such as AWS Cost Explorer and the AWS Cost & Usage Report This course teaches systems operators and anyone performing cloud operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS. You will learn about cloud operations functions, such as installing, configuring, automating, monitoring, securing, maintaining, and troubleshooting these services, networks, and systems. The course also covers specific AWS features, tools, and best practices related to these functions. Prerequisites Successfully completed the AWS Technical Essentials course Background in either software development or systems administration Proficiency in maintaining operating systems at the command line, such as shell scripting in Linux environments or cmd/PowerShell in Windows Basic knowledge of networking protocols (TCP/IP, HTTP) 1 - Introduction to Cloud Operations on AWS What is Cloud Operations AWS Well-Architected Framework AWS Well-Architected Tool 2 - Access Management AWS Identity and Access Management (IAM) Resources, accounts, and AWS Organizations 3 - System Discovery Methods to interact with AWS services Tools for automating resource discovery Inventory with AWS Systems Manager and AWS Config Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config 4 - Deploy and Update Resources Cloud Operations in deployments Tagging strategies Deployment using Amazon Machine Images (AMIs) Deployment using AWS Control Tower 5 - Automate Resource Deployment Deployment using AWS CloudFormation Deployment using AWS Service Catalog Hands-On Lab: Infrastructure as Code 6 - Manage Resources AWS Systems Manager Hands-On Lab: Operations as Code 7 - Configure Highly Available Systems Distributing traffic with Elastic Load Balancing Amazon Route 53 8 - Automate Scaling Scaling with AWS Auto Scaling Scaling with Spot Instances Managing licenses with AWS License Manager 9 - Monitor and Maintain System Health Monitoring and maintaining healthy workloads Monitoring AWS infrastructure Monitoring applications Hands-On Lab: Monitor Applications and Infrastructure 10 - Data Security and System Auditing Maintaining a strong identity and access foundation Implementing detection mechanisms Automating incident remediation 11 - Operate Secure and Resilient Networks Building a secure Amazon Virtual Private Cloud (Amazon VPC) Networking beyond the VPC 12 - Mountable Storage Configuring Amazon Elastic Block Store (Amazon EBS) Sizing Amazon EBS volumes for performance Using Amazon EBS snapshots Using Amazon Data Lifecycle Manager to manage your AWS resources Creating backup and data recovery plans Configuring shared file system storage Hands-On Lab: Automating with AWS Backup for Archiving and Recovery 13 - Object Storage Deploying Amazon Simple Storage Service (Amazon S3) Managing storage lifecycles on Amazon S3 14 - Cost Reporting, Alerts, and Optimization Gaining AWS cost awareness Using control mechanisms for cost management Optimizing your AWS spend and usage Hands-On Lab: Capstone lab for CloudOps Additional course details: Nexus Humans Cloud Operations on AWS 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 Cloud Operations on AWS 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 The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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.

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Microsoft Project Blue Belt® 2016: Virtual In-House Training This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. Users in Project online will get the same benefits of this program. What you Will Learn You'll learn how to: Describe the Enterprise Project Management (EPM) environment Apply the basic project management principles of, initiating, planning, executing, monitoring and controlling, and closing your project schedules Discuss new features Explain PWA views project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Explain tracking methods and manage task assignments Update the schedule Differentiate between updating tasks and timesheets Use standard reports, custom views, and visual reports for your projects Recognize the potential of the Business Intelligence features Getting Started with Microsoft® Project Server 2016 Describing the EPM context Discovering Project Web App Differentiating the users of PWA Working with Project Professional and PWA Initiating Projects New projects with Project Professional, SharePoint lists, Enterprise Projects Importing schedules and managing project owner and permissions Customize the ribbon with enterprise commands Planning Projects - Scope and Schedule Management Scheduling in PWA Using the Deliverables feature Developing components of the risk management plan and issues tracking Linking planning documents Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Managing resource engagements Resolving resource overallocation Executing, Monitoring and Controlling Baselines Working with timesheets Reporting administrative time Tracking methods (% work, actual work, single entry mode) Assignment progress and updates in PWA Task progress and updates in Project Professional and PWA Monitor and Control Projects - Measuring Performance and Reporting Progress Reviewing performance metrics and progress reports Using the preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process

About this Virtual instructor Led Training (VILT)  The Subsea Production Engineering Virtual instructor Led Training (VILT) course provides an overview of all of the functionalities and key interfaces of subsea equipment. The VILT course will refer to relevant industry engineering standards for subsea equipment, subsea tie-backs and critical operational requirements. The sessions will cover challenges associated with equipment design and installability, as well as a new module on subsea tie-backs. The primary learning objectives for this VILT course are met through a combination of interactive presentations, discussion and exercises. Training Objectives By the end of this VILT course, participants will be able to: Apply the requirements of related industry standards (API 6A/ 17D, API 17A etc.) engineering standards Understand the barrier and qualification requirements Identify the barriers in place given a specific mode of operation Evaluate and select which tree alternatives are valid based on the key design drivers Identify and describe the key design drivers Explain the importance of well kill rate Describe which tree alternatives are valid for certain scenarios based on an evaluation of the key tree design requirements Examine what effects subsurface requirements may have on tree design Understand the challenges associated with designing equipment for manufacturability and installability Recognise the implications of design changes to specific components and the effects on transportation and installation (such as what type of vessels, lifting equipment, and tools to use and the logistical requirements) Recognise the implication of design changes on manufacturability of subsea equipment Target Audience This VILT course provides a comprehensive understanding of the equipment used in subsea production systems. It is designed for petroleum engineers, production engineers, subsea project engineers and is also highly suitable for cost, planning, offshore installation and offshore operations engineers. Anyone directly or indirectly involved with subsea equipment will benefit from attending this VILT course - from engineers installing the equipment to procurement staff looking to understand more. Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Most of his working life, your expert course leader has been in a role that has enabled him to pass on skills and knowledge to others. A full-time role in Training and Development came about in 1996 with the offer to take up a full-time teaching post at Aberdeen College. In 1998, he was recruited by Kvaerner Oilfield Products, an Oil & Gas industry company, specialising in Subsea Control Systems, to develop and implement a Training & Competence program acceptable for its staff of over 600 and their client companies - a challenge he could not resist. In 2003, he broadened his horizons and became an independent Training & Development consultant. Building a reputation for delivering training and development to the Oil & Gas industry to the highest standards, he later joined Jee Ltd, a leading subsea engineering and training company based in Aberdeen. He was tasked with a wide portfolio of training, coaching & mentoring to achieve high levels of competence for the client's staff and customers. He is also a Science and Engineering Ambassador (Scotland), promoting the need for engineers and technicians for Scotland's industries, a frequent consultant to the European Economic & Social Committee for standardising Vocational Skills training and competence throughout the EU. He holds memberships in the Society of Operations Engineers, Chartered Institute of Personnel & Development and Society of Underwater Technologies. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

AgilePM® Practitioner: Virtual In-House Training This course offers preparation for the Practitioner-level examination to gain the APMG-International™ / Agile Project Management Practitioner Certification. Agile Project Management (AgilePM) is the result of collaboration between APMG-International and The DSDM Consortium. DSDM (Dynamic Systems Development Method) is the longest-established Agile method, launched in 1995, and is the only Agile method to focus on the management of Agile projects. The method has evolved over the years and the DSDM Agile Project Framework is the latest version of which AgilePM is a subset. DSDM has always operated predominantly in the corporate environment and has consistently demonstrated its ability to successfully work with and complement existing corporate processes. APMG-International is a global Examination Institute accredited by The APM Group Ltd. It is one of the Examination Institutes accredited by AXELOS. APMG-International has regional offices located in Australia, China, Denmark, Germany, the Netherlands, Malaysia, the United States, and the United Kingdom. Their portfolio of qualifications includes the Best Practice qualifications of ITIL®, PRINCE2®, MSP®, M_o_R®, and P3O®. AgilePM is one of their specialist management qualifications, which also include Change Management and Service Catalogue. The course covers all the Practitioner elements of the AgilePM Handbook v2 with: Clear explanations of the method and practical examples provided by your course tutor Sample exam paper for the Practitioner-level exams to enrich your knowledge and understanding A case study to allow you to practice the application of the method to an agile project The Traditional Classroom option includes the Practitioner exam to provide you with the right opportunity to verify your new skill set by way of a professional qualification The Virtual Classroom option includes a Practitioner exam voucher to allow you to choose the date and time of your online exam to verify your new skill set by way of a professional qualification What You Will Learn You will learn how to: Identify and apply the concepts, tools, and techniques described in Section 2 (Digging Deeper) of the APMG-International's Agile Project Management Handbook (v2.0) to agile projects Tailor and customize AgilePM to suit the needs of different projects Use AgilePM in conjunction with other project management methods such as PRINCE2® Prepare yourself for the Practitioner exam in AgilePM Roles and Responsibilities - The PM View The roles Key project manager relationships Agile Project Management - Through the Lifecycle The DSDM process and the project lifecycle Project management focus phase by phase The Effective Use of Products The products Deliver on Time - Combining MoSCoW & Timeboxing Ensuring effective prioritisation Bringing MoSCoW and timeboxing together People, Teams, and Interactions Effective communication Collaboration Requirements and User Stories What is a requirement? User stories Estimating - How and When Coping with uncertainty Estimating through the lifecycle Project Planning through the Lifecycle Planning in a DSDM project Planning activities phase by phase Quality - Never Compromise Quality What do we mean by quality? Solution and process quality Risk Management Project risk How DSDM helps mitigate project risk Tailoring the Approach The project approach questionnaire Summary and Next Steps