355 Analytics courses in Tring delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for A Dynamics 365 Customer Engagement Functional Consultant is responsible for performing discovery, capturing requirements, engaging subject matter experts and stakeholders, translating requirements, and configuring the solution and applications. The Functional Consultant implements a solution using out-of-the-box capabilities, codeless extensibility, application, and service integrations. Overview Install and configure the customer service app Identify common customer service scenarios Complete a case resolution process Analyze customer service data Automate case management record processing Create and use knowledge articles Create and use entitlements and service level agreements Microsoft Dynamics 365 for Customer Service offers any organization an opportunity for customer success. Using tools such as automatic case creation and queue management frees up time to dedicate where a greater impact can be made, directly with customers. Our team of globally recognized experts take students step by step, from creating cases, to interacting with customers, to resolving those cases. Once those cases are resolved, students will learn from data analysis the key details to help resolve similar cases faster or avoid new issues altogether. Customer Service Overview Lesson 1: Create case records Lesson 2: Related service apps Lesson 3: Analytics for service Lesson 4: AI for service Lesson 5: Configuring customer service Lesson 6: Module summary Case Management Lesson 1: Case management overview Lesson 2: Creating case records Lesson 3: Queue management Lesson 4: Case routing Lesson 5: Resolving cases Lesson 6: Module summary Service Level Agreements and Entitlements Lesson 1: SLA and entitlement overview Lesson 2: Create and manage entitlements Lesson 3: Create and manage S Knowledge Management Lesson 1: Knowledge management overview Lesson 2: Authoring and organizing Lesson 3: Use knowledge content Lesson 4: Manage knowledge content Lesson 5: Module summary Additional course details: Nexus Humans MB-230T01 Dynamics 365 for Customer Engagement for Customer Service 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 MB-230T01 Dynamics 365 for Customer Engagement for Customer Service 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 2 Days 12 CPD hours This course is intended for This course is designed for students who already have foundational knowledge and skills in Excel and who wish to perform robust and advanced data and statistical analysis with Microsoft Excel using PivotTables, use tools such as Power Pivot and the Data Analysis ToolPak to analyze data, and visualize data and insights using advanced visualizations in charts and dashboards in Excel. To ensure success, you should have baseline skill using Microsoft Excel worksheets, particularly in creating workbooks with formulas and function Overview #NAME? Analyzing data to find issues, insights and opportunities, is now a critical part of many job roles. Beyond the analysis, data analysts in all job roles must be able to effectively present and communicate their findings in visually compelling ways. Microsoft© Excel© is designed for this purpose. Excel can connect to a wide range of data sources, perform robust data analysis and create diverse and robust data-backed visualizations to show insights, trends, and create reports. These capabilities enable people who use Excel for data analysis to turn data into thoughtful action. 1 - DATA ANALYSIS FUNDAMENTALS Introduction to Data Science Create and Modify Tables Sort and Filter Data 2 - VISUALIZING DATA WITH EXCEL Visualize Data with Charts Modify and Format Charts Apply Best Practices in Chart Design 3 - ANALYZING DATA WITH FORMULAS AND FUNCTIONS Analyze Data with Formulas and Named Ranges Analyze Data with Functions Implement Data Validation, Forms, and Controls Create Conditional Visualizations with Lookup Functions 4 - ANALYZING DATA WITH PIVOTTABLES Create a PivotTable Analyze PivotTable Data 5 - PRESENTING VISUAL INSIGHTS WITH DASHBOARDS IN EXCEL Visualize Data with PivotCharts Filter Data Using Slicers and Timelines Create a Dashboard in Excel 6 - CREATING GEOSPATIAL VISUALIZATIONS WITH EXCEL Create Map Charts in Excel Customize Map Charts in Excel 7 - PERFORMING STATISTICAL ANALYSIS Visualize Trendlines and Sparklines with Excel Analyze Data with the Data Analysis ToolPa 8 - GETTING AND TRANSFORMING DATA Connect to Data with Queries Clean and Combine Data Shape and Transform Data 9 - MODELING AND ANALYZING DATA WITH POWER PIVOT Install Power Pivot in Excel Create Data Models with Power Pivot Create Power Pivots Perform Advanced Data Analysis and Visualization 10 - PRESENTING INSIGHTS WITH REPORTS (OPTIONAL) Plan a Report Create a Report

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes 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 Building Data Lakes 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.

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Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the NSX Advanced Load Balancer architecture Describe the NSX Advanced Load Balancer components and main functions Explain the NSX Advanced Load Balancer key features and benefits Deploy and configure the NSX Advanced Load Balancer infrastructure within private or public clouds using Write and No-Access Cloud Connectors Explain, deploy, and configure Service Engines Explain and configure local load balancing constructs such as virtual services, pools, health monitors, and related components Explain and configure advanced virtual services and related concepts such as Subject Name Indication, Enhanced Virtual Hosting, and authentication of virtual services Explain and modify application behavior through profiles, policies, and DataScripts Describe Central licensing management using VMware NSX Advanced Load Balancer Enterprise with Cloud services (formerly Avi Pulse) Explain how to configure Role-Based Access Control (RBAC) in NSX Advanced Load Balancer Configure advanced services such as global server load balancing Describe how to use NSX Advanced Load Balancer REST API interfaces and related automation capabilities Describe and configure NSX Advanced Load Balancer application and infrastructure monitoring Gather relevant information and perform basic troubleshooting of applications that use built-in NSX Advanced Load Balancer tooling Identify the key features of VMware NSX Network Detection and Response This five-day, fast-paced course provides comprehensive training to install, configure, and manage a VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key NSX Advanced Load Balancer (Avi Networks) features and functionality offered in the NSX Advanced Load Balancer 21.x release. Features include the overall infrastructure, virtual services, application components, global server load balancing, various cloud connectors, application troubleshooting, and solution monitoring. Hands-on labs provide access to a software-defined data center environment to reinforce the skills and concepts presented in the course. Course Introduction Introduction and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and their respective functions Virtual Services Configuration Concepts Explain virtual service components Explain virtual service types Explain and configure basic virtual service components such as application profiles and network profiles Virtual Services Configuration Advanced Concepts Explain the virtual service advanced components such as Wildcard VIP, Server Name Identification (SNI), and Enhanced Virtual Hosting (EVH) Explain the concept of virtual service VIP Sharing Explain different authentication mechanisms used for a virtual service such as LDAP, SAML, JSON Web Token, and OAUTH Profiles and Policies Explain application profiles and types such as L4, DNS, Syslog, HTTP, and VMware Horizon VDI Explain and configure advanced application HTTP profile options Describe network profiles and types Explain and configure SSL profiles and certificates Explain and configure HTTP, network, and DNS policies Pools Configuration Concepts Explain pools configuration options Describe the available load balancing algorithms Explain multiple health monitor types Explain multiple Persistence profiles Explain and configure pool groups Modifying Application Behavior Design and apply application solutions by using application profiles Design and apply application solutions by using network, HTTP policies, and DataScripts Explain DataScript fundamentals Explain and use NSX Advanced Load Balancer analytics to understand application behavior Describe and configure client SSL certificate validation Describe and configure virtual service DDoS, Rate limiting, and Throttling capabilities Modify network profile properties such as TCP connection properties Design and apply application solutions by using Persistence profiles NSX Advanced Load Balancer Infrastructure Architecture Explain management, control, data, and consumption planes and functions Describe control plane clustering and high availability Describe controller sizing and process sharing Describe Service Engine CPU and NIC architecture Explain tenants Configure properties of Service Engine groups Explain Service Engine group high availability modes Describe and configure active-standby high availability mode Explain Service Engine placement in multiple availability zones for public clouds Describe and configure elastic HA high availability mode (Active-Active, N+M) Explain Service Engine failure detection and self-healing Describe Service Engine as a router Explain virtual service scale-out options such as Layer 2 (Native), Layer 3 (BGP), and DNS-based Describe how to upgrade NSX Advanced Load Balancer Introduction to Cloud Connector Explain cloud connectors Review cloud connector integration modes List cloud connector types Review the different Service Engine image types in different ecosystems Installing, Configuring, and Managing NSX Advanced Load Balancer in No-Orchestrator Cloud Explain No-Access cloud concepts Configure No-Access cloud integration on bare metal Explain and configure Linux Server Cloud Explain and configure VMware No Orchestrator Describe the advanced configuration options available in bare metal (Linux Server Cloud) Installing, Configuring, and Managing NSX Advanced Load Balancer in VMware Environment: Cloud Configuration Introduce VMware integration options Explain and configure VMware Write Access Cloud Connector Explain NSX Advanced Load Balancer integration options in a VMware NSX environment Explain and configure NSX Cloud Connector for Overlay and VLAN-backed segments AWS Cloud Configuration Describe NSX Advanced Load Balancer public cloud integrations Explain different AWS components Explain and demonstrate AWS public cloud integration Deploy VMware NSX Advanced Load Balancer Controller, SEs, and virtual services in AWS Cloud Review Multi-AZ Support for virtual services in AWS cloud GCP Cloud Configuration Explain different GCP components Explain and demonstrate GCP public cloud integration Deploy NSX Advanced Load Balancer Controller, SEs, and virtual services in GCP cloud Azure Cloud Configuration Describe NSX Advanced Load Balancer public cloud integrations Explain different Microsoft Azure components Explain and demonstrate Azure public cloud integration Deploy NSX Advanced Load Balancer Controller, SEs, and virtual services in Azure Cloud NSX Advanced Load Balancer Enterprise with Cloud Services (Avi Pulse) Describe NSX Advanced Load Balancer public cloud services Explain different features of NSX Advanced Load Balancer Cloud Services Register the controller with Cloud Services DNS Foundations Review, discuss, and explain DNS fundamentals Describe NSX Advanced Load Balancer DNS and IPAM providers Global Server Load Balancing (GSLB) Introduce Global Server load balancing concepts and benefits Explain and configure the NSX Advanced Load Balancer infrastructure Explain and configure the DNS Virtual Service components Explain and configure GSLB Service Engine Group Describe and configure GSLB sites Explain and configure basic GSLB services to include pools and health monitors Describe GSLB Server Load Balancing algorithms Explain and configure health monitors based on data plane and control plane Describe GSLB Health Monitor Proxy Explain GSLB Site-Cookie Persistence Explain the different GSLB replication methods Role-Based Access Control (RBAC) Introduce local authentication in NSX Advanced Load Balancer Introduce remote authentication in NSX Advanced Load Balancer Review the different types of remote authentication Explain granular RBAC using labels NSX Advanced Load Balancer: Troubleshooting Introduce infrastructure and application troubleshooting concepts Describe troubleshooting based on control plane and data plane Explain application analytics and logs Describe client logs analysis Explain headers troubleshooting and packet capture mechanism Describe how to use CLI for detailed data plane troubleshooting Explain Service Engine logs Explain health monitors troubleshooting Explain BGP session troubleshooting Describe control plane troubleshooting, clustering, and cloud connector issues Events and Alerts Describe NSX Advanced Load Balancer events Describe and configure NSX Advanced Load Balancer alerts Describe NSX Advanced Load Balancer monitoring capabilities with SNMP, Syslog, and Email Introduction to NSX Advanced Load Balancer Rest API Introduce the NSX Advanced Load Balancer REST API interface Describe REST API Object Schema Explain and interact with REST API interface with

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Duration 62.5 Days 375 CPD hours Cisco Learning Library: Data Center offers a subscription to Cisco online data center training, including certifications, products, and technologies.This comprehensive technical training library offers full-length, interactive certification courses, additional product and technology training with labs, and thousands of reference materials Data Center Library Certification Courses CCNP Data Center Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Designing Cisco Data Center Infrastructure (DCID) v7.0 Troubleshooting Cisco Data Center Infrastructure (DCIT) v7.0 Implementing Cisco Application Centric Infrastructure (DCACI) v1.0 Configuring Cisco MDS 9000 Series Switches (DCMDS) Implementing Automation for Cisco Data Center Solutions (DCAUI) CCIE Data Center Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Product and Technology Training Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Understanding Cisco Data Center Foundations (DCFNDU) v1.0 Implementing Cisco Application Centric Infrastructure (DCACI) v1.0 Introducing Cisco NX-OS Switches and Fabrics in the Data Center (DCINX) v1.0 Configuring Cisco NX-OS Switches and Fabrics in the Data Center (DCCNX) v1.0 Designing Cisco Data Center Infrastructure (DCID) v7.0 Troubleshooting Cisco Data Center Infrastructure (DCIT) v7.0 Implementing Cisco Application Centric Infrastructure?Advanced (DCACIA) v1.0 Introducing Cisco Unified Computing System (DCIUCS) v1.0 Configuring Cisco Unified Computing System (DCCUCS) v1.0 Implementing Cisco Tetration Analytics (DCITET) v1.0 Cisco MDS 9000 Series Switches Overview (DCMDSO) v1.0 Configuring Cisco Nexus 9000 in NX-OS Mode (C9KNX) v1.2 Configuring Cisco Nexus 9000 Series Switches in ACI Mode (DCAC9K) v3.0 Introducing Cisco Nexus 9000 Switches in NX-OS Mode (DCINX9K) v2.1 Configuring VXLANs on Cisco Nexus 9000 Series Switches (DCVX9K) v1.0 Cisco Application Centric Infrastructure Operations and Troubleshooting (DCACIO) v4.1 Configuring Cisco MDS 9000 Series Switches (DCMDS) v3.1 Introducing Cisco MDS 9000 Series Switches (DCIMDS) v1.0 Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 Introducing Automation for Cisco Solutions (CSAU) v1.0 Implementing Cisco HyperFlex (DCIHX) v1.2 Configuring the Cisco Nexus Data Center Transport (CCNDC-T) v2.0 Configuring the Cisco Nexus Data Center Virtual Machines (CCNDC-V) v2.0 Additional course details: Nexus Humans Cisco Digital Learning Data Center 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 Cisco Digital Learning Data Center 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 3 Days 18 CPD hours Overview Our engaging instructors and mentors are highly-experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will explore: New Features Overview Multitenant New Features Security Features Cloud Services Networking Globalization Big Data Support Database Installation and Configuration Database Tuning Backup and Recovery Oracle 19c New Features is a hands-on course that explores the newest features such as Big Data Enhancements, Security, Multitenant features, Oracle Cloud Services, Networking, and much more. Oracle is one of the leading databases in industry today. Learn what their latest flagship product has to offer from industry experts. Oracle 19c New Features Overview Introduction to Oracle 19c New Features Oracle 19c Multitenant New Features Refreshable PDB Switchover PDB Integration with Data Guard PDB Snapshot Carousel CDB Fleet Management Oracle 19c Security Features Profile Lockdown Create a User Defined Master Encryption Key Encrypted Passwords in Database Links and Data Pump Create Keystores for Pluggable Databases Datapump and Unified Auditing Schema Only Accounts Oracle 19c Cloud Services Oracle IaaS Oracle Saas Oracle PaaS Oracle 19c Networking Database Connection Manager Database Proxy Support Tenant Isolation Oracle 19c Globalization New globalization for Bind Variables New Database Local Support Additional Unicode Support Big Data Support New Analytic Support Data Mining Data Warehouse Additional Parallel Processing Support Inline External Tables Database Installation and Configuration Zero Downtime Upgrades Dry Run Command implementation New location for Password File Improved Bulk Operations Database Tuning SQL Tuning Advisor and Exadata New SQL Tuning Set API Concurrent SQL and Sql Performance Analyzer Database In Memory Features In Memory Support for External Tables In Memory Features for Analytics Oracle 19c Backup and Recovery Active Pluggable Cloning Pluggable and non Pluggable Database Migration Additional course details: Nexus Humans Oracle 19c New Features (TTOR20019) 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 Oracle 19c New Features (TTOR20019) 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 1 Days 6 CPD hours This course is intended for Individuals planning to deploy applications and create application environments on Google Cloud. Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services. Describe ways in which customers have used Google Cloud. Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine. Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Make basic use of BigQuery, Google's managed data warehouse for analytics. This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies. Introducing Google Cloud Platform Explain the advantages of Google Cloud Platform. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Platform Identify the purpose of projects on Google Cloud Platform. Understand the purpose of and use cases for Identity and Access Management. List the methods of interacting with Google Cloud Platform. Lab: Getting Started with Google Cloud Platform. Google Compute Engine and Networking Identify the purpose of and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Lab: Deploying Applications Using Google Compute Engine. Google Cloud Platform Storage Options Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable. Learn how to choose between the various storage options on Google Cloud Platform. Lab: Integrating Applications with Google Cloud Storage. Google Container Engine Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Introduction to Hybrid and Multi-Cloud computing (Anthos). Lab: Deploying Applications Using Google Container Engine. Google App Engine and Google Cloud Datastore Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand the purpose of and use cases for Google Cloud Endpoints. Lab: Deploying Applications Using App Engine and Cloud Datastore. Deployment and Monitoring Understand the purpose of template-based creation and management of resources. Understand the purpose of integrated monitoring, alerting, and debugging. Lab: Getting Started with Stackdriver and Deployment Manager. Big Data and Machine Learning Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Lab: Getting Started with BigQuery. Summary and Review Summary and Review. What's Next?.

Duration 3.5 Days 21 CPD hours This course is intended for This course is for AWS Cloud Architects with expertise in designing and implementing solutions running on AWS who now want to design for Microsoft Azure. Overview After completing this course, students will be able to: Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects who have previously designed for Amazon Web Services how to translate business requirements into secure, scalable, and reliable solutions for Azure. Introduction to Azure Subscriptions and accounts Resource groups and templates in Azure Resource Manager Azure global infrastructure Azure regions Azure Availability Zones Comparison with AWS Implement Azure Active Directory Introduction to Azure Active Directory Domains and custom domains Safety features Guest users in Azure Active Directory Manage multiple directories Comparison with AWS Implement and manage hybrid identities Introduction to Azure AD Connect Comparison with AWS Implement virtual networking Azure Virtual Network and VNet peering VPN and ExpressRoute connections Comparison with AWS Implement VMs for Windows and Linux Configure high availability Comparison with AWS Implement load balancing and network security Implement Azure Load Balancer Implement an Azure Application Gateway Implement Azure Firewall Implement network security groups and application security groups Comparison with AWS Implement container-based applications Configure Azure Kubernetes Service Publish a solution on an Azure Container Instance Comparison with AWS Implement an application infrastructure Create an App Service plan Create and configure Azure App Service Configure networking for an App Service Introduction to Logic Apps and Azure Functions Comparison with AWS Implement storage accounts Azure Storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Comparison with AWS Implement NoSQL databases Introduction to Azure Cosmos DB Consistency Select appropriate CosmosDB APIs Set up replicas in CosmosDB Comparison with AWS DynamoDB Implement Azure SQL databases Configure Azure SQL database settings Implement Azure SQL Database managed instances Configure high availability for an Azure SQL database Comparison with AWS Implement cloud infrastructure monitoring Monitor security Monitor cost Configure a Log Analytics workspace Comparison with AWS Implement and manage Azure governance solutions Assign RBAC roles Configure management access to Azure Implement and configure an Azure Policy Comparison with AWS Manage security for applications Implement Azure Key Vault Implement and configure Azure AD Managed Identities Register and manage applications in Azure AD Comparison with AWS Migration, backup, and disaster recovery management Migrate workloads Implement Azure Backup for VMs Implement disaster recovery Comparison with AWS