17653 AI courses

Duration 4 Days 24 CPD hours This course is intended for Candidates should be familiar with Dynamics 365 Customer Insights and have firsthand experience with one or more additional Dynamics 365 apps, Power Query, Microsoft Dataverse, Common Data Model, and Microsoft Power Platform. They should also have working knowledge of practices related to privacy, compliance, consent, security, responsible AI, and data retention policy. Overview After completing this course, you will be able to: Clean, transform, and ingest data into Dynamics 365 Customer Insights Create a unified customer profile Work with Dynamics 365 Audience insights Enrich data and predictions Set up and manage external connections Administer and monitor Customer Insights Customer Data Platform specialists implement solutions that provide insight into customer profiles and that track engagement activities to help improve customer experiences and increase customer retention. In this course, students will learn about the Dynamics 365 Customer Insights solution, including how to unify customer data with prebuilt connectors, predict customer intent with rich segmentation, and maintain control of customer data. This specialty course starts with creating a unified profile and then working with customer data. Module 1: Get started with Dynamics 365 Customer Insights Introduction to the customer data platform Administer Dynamics 365 Customer Insights Explore user permissions in Dynamics 365 Customer Insights Module 2: Ingest data into Dynamics 365 Customer Insights Import and transform data Connect to data sources Work with data Module 3: Create a unified customer profile in Dynamics 365 Customer Insights Map data Match data Merge data Find customers Module 4: Work with Dynamics 365 Customer Insights Explore Audience insights Define relationships and activities Work with measures Work with segments Module 5: Enrich data and predictions with Audience insights Enrich data Use predictions Use machine learning models Module 6: Manage external connections with Customer Data Platform Export Customer Insights data Use Customer Insights with Microsoft Power Platform Display Customer Insights data in Dynamics 365 apps More ways to extend Customer Insights

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

Conflict Management 1 Day Training in Aberystwyth

Report Writing 1 Day Training in Aberystwyth

Time Management 1 Day Training in Aberystwyth

Level 5 | FREE 2 CPD Courses | FREE QLS Hard Copy + CPD PDF Certificates | CPD Accredited | Lifetime Access

'Advanced Cancer Pain Management' by Dr Kate Marley, Consultant in Palliative Medicine based in Woodlands Hospice, Aintree. This presentation will cover assessment of patients and selection of procedures and a brief overview of procedures available plus of course how to refer. Dr Marley is a consultant in Palliative Medicine based in Woodlands Hospice, Aintree. She underwent Palliative Medicine Specialty Training in the Mersey region and has worked in many of the hospices in this area. Her day to day roles include medical lead for IMPaCT North, Education co-lead for LUHFT and Palliative Medicine lead for the Joint Pain and Palliative Care Service in conjunction with the Walton Centre.

Overview This comprehensive course on Microsoft Azure Cloud Concepts will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Microsoft Azure Cloud Concepts comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Microsoft Azure Cloud Concepts. It is available to all students, of all academic backgrounds. Requirements Our Microsoft Azure Cloud Concepts is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 1 sections • 29 lectures • 03:33:00 total length •Unit 01: What will you learn and Cloud Concepts: 00:18:00 •Unit 02: Core Azure architectural components: 00:18:00 •Unit 03: LAB Create a Windows and Linux VM Computer: 00:10:00 •Unit 04: LAB Container creation: 00:04:00 •Unit 05: Storage with Azure: 00:04:00 •Unit 06: LAB Create a storage account: 00:07:00 •Unit 07: Network concepts: 00:03:00 •Unit 08: Lab Network Peering: 00:16:00 •Unit 09: Lab scale set: 00:11:00 •Unit 10: Marketspace and Serverless: 00:07:00 •Unit 11: Event HUB and Logic APPS: 00:07:00 •Unit 12: DevOps Overview: 00:04:00 •Unit 13: Azure Databases Overview: 00:04:00 •Unit 14: Lab SQL: 00:08:00 •Unit 15: What are AI and machine learning: 00:10:00 •Unit 16: Powershell and CLI: 00:09:00 •Unit 17: Azure Advisor: 00:05:00 •Unit 18: Review Core Azure: 00:04:00 •Unit 19: Azure security compliance and trust: 00:03:00 •Unit 20: Lab DDOS and NSGs: 00:07:00 •Unit 21: Authentication and Authorisation: 00:07:00 •Unit 22: Azure security centre: 00:06:00 •Unit 23: LAB Azure key vault and AIP overview: 00:06:00 •Unit 24: Azure Advanced Threat Protection (Azure ATP): 00:06:00 •Unit 25: Azure monitoring: 00:05:00 •Unit 26: Manage Azure Governance: 00:07:00 •Unit 27: Azure privacy and compliance: 00:04:00 •Unit 28: Summary: 00:03:00 •Unit 29: Azure Pricing and support: 00:10:00

Would you like to master deep learning and artificial neural networks? Then this course is for you! Learn how to build, train, and deploy ANNs to solve problems.

Adobe Photoshop Training Course for Beginners. A one to one private Photoshop Course on a 24 /7 basis to suit your hours.