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Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 5 Days 30 CPD hours This course is intended for This intermediate course is designed for experienced Integration Specialists and Senior-Level Developers with experience in application development, messaging middleware applications, and transport protocols such as HTTP and FTP. Overview Describe the features and uses of the IBM Integration BusDevelop, deploy, and test message flow applicationsGenerate message flow applications from predefined patternsUse IBM Integration Bus problem determination aids to diagnose and solve development and runtime errorsDescribe the function and appropriate use of IBM Integration Bus processing nodesWrite basic Extended Structured Query Language and Java programs to transform dataUse the IBM Graphical Data Mapping editor to transform dataDefine, use, and test simple XML and Data Format Description Language (DFDL) data modelsDescribe supported transport protocols and how to call them in message flows This course teaches you how to use IBM Integration Bus to develop, deploy, and support message flow applications. Students will learn how to construct applications to transport and transform data. Course Outline Course introduction Introduction to IBM Integration Bus Application development fundamentals Exercise: Importing and testing a message flow Creating message flow applications Exercise: Creating a message flow application Connecting to IBM MQ Exercise: Connecting to IBM MQ Controlling the flow of messages Exercise: Adding flow control to a message flow application Modeling the data Exercise: Creating a DFDL model Processing file data Exercise: Processing file data Using problem determination tools and help resources Exercise: Using problem determination tools Exercise: Implementing explicit error handling Mapping messages with the Graphical Data Mapping editor Referencing a database in a message flow application Exercise: Referencing a database in a map Using Compute nodes to transform messages Exercise: Transforming data by using the Compute and JavaCompute nodes Processing JMS, HTTP, and web service messages Preparing for production Exercise: Creating a runtime-aware message flow Course summary Additional course details: Nexus Humans WM666 IBM Integration Bus V10 Application Development I 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 WM666 IBM Integration Bus V10 Application Development I 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 5 Days 30 CPD hours This course is intended for This course is geared toward Windows system administrators, network administrators, and other system administrators who are interested in supplementing current skills or backstopping other team members, in addition to Linux system administrators who are responsible for these tasks: Configuring, installing, upgrading, and maintaining Linux systems using established standards and procedures Providing operational support Managing systems for monitoring system performance and availability Writing and deploying scripts for task automation and system administration Successful completion of Red Hat System Administration I (RH124) is recommended. Experienced Linux administrators seeking to accelerate their path toward becoming a Red Hat Certified System Administrator should start with the RHCSA Rapid Track course (RH199). Overview You should be able to demonstrate these skills: - Install Red Hat Enterprise Linux using Kickstart - Manage file systems and logical volumes - Manage scheduled jobs - Access network file systems - Manage SELinux - Control firewalls - Perform troubleshooting tasks Red Hat System Administration II (RH134) is designed as the second part of the Red Hat© Certified System Administrator (RHCSA©) training track for IT professionals who have taken Red Hat System Administration I (RH124). The course goes deeper into core Linux© system administration skills, including storage configuration, security feature management, task control, and installation and deployment of Red Hat© Enterprise Linux. Prerequisites Successful completion of Red Hat System Administration I (RH124) is recommended. 1 - Automate installation with Kickstart Automate the installation of Red Hat Enterprise Linux systems with Kickstart. 2 - Use regular expressions with grep Write regular expressions that, when partnered with grep, will allow you to quickly isolate or locate content within text files. 3 - Create and Edit text files with vim Introduce the vim text editor, with which you can open, edit, and save text files. 4 - Schedule future Linux tasks Schedule tasks to automatically execute in the future. 5 - Manage priority of Linux processes Influence the relative priorities at which Linux processes run. 6 - Control access to files with access control lists (ACL) Manage file security using POSIX access control lists. 7 - Manage SELinux security Manage the Security Enhanced Linux (SELinux) behavior of a system to keep it secure in case of a network service compromise. 8 - Connect to network-defined users and groups Configure systems to use central identity management services. 9 - Add disks, partitions, and file systems to a Linux system Manage simple partitions and file systems. 10 - Manage logical volume management (LVM) storage Manage logical volumes from the command line. 11 - Access networked attached storage with network file system (NFS) Access (secure) NFS shares. 12 - Access networked storage with SMB Use autofs and the command line to mount and unmount SMB file systems. 13 - Control and troubleshoot the Red Hat Enterprise Linux boot process 14 - Limit network communication with firewall Configure a basic firewall. 15 - Comprehensive review Practice and demonstrate knowledge and skills learned in this course.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for network and software engineers interested in automation and programmability and who hold job roles such as: Account manager Consulting systems engineer Network administrator Network engineer Network manager Sales engineer Systems engineer Technical solutions architect Wireless design engineer Wireless engineer Overview This course will help you: Gain the high-demand knowledge and skills to implement automation, streamline container orchestration, and enhance scalability Learn the skills to maximize the lightweight design of containers to scale more quickly and allow more responsiveness to website traffic load Prepare for the 300-910 DEVOPS exam What to expect in the exam The 300-910 DEVOPS exam certifies your knowledge and skills with DevOps. Key DevOps practices include deployment automation that enables configuration, management, and scalability of cloud microservices and infrastructure processes on Cisco platforms. This course teaches you how to automate application deployment, enable automated configuration, enhance management, and improve scalability of cloud microservices and infrastructure processes on Cisco© platforms. You will also learn how to integrate Docker and Kubernetes to create advanced capabilities and flexibility in application deployment. This course prepares you for the 300-910 Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) certification exam. Course Outlines ITRODUCING THE DEVOPS MODEL INTRODUCING CONTAINERS PACKAGING AN APPLICATION USING DOCKER DEPLOYING A MULTITIER APPLICATION INTRODUCING CI/CD BUILDING THE DEVOPS FLOW VALIDATING THE APPLICATION BUILD PROCESS BUILDING AN IMPROVED DEPLOYMENT FLOW EXTENDING DEVOPS PRACTICES TO THE ENTIRE INFRASTRUCTURE IMPLEMENTING ON-DEMAND TEST ENVIRONMENTS AT THE INFRASTRUCTURE LEVEL MONITORING IN NETDEVOPS ENGINEERING FOR VISIBILITY AND STABILITY SECURING DEVOPS WORKFLOWS EXPLORING MULTICLOUD STRATEGIES EXAMINING APPLICATION AND DEPLOYMENT ARCHITECTURES DESCRIBING KUBERNETES INTEGRATING MULTIPLE DATA CENTER DEPLOYMENTS WITH KUBERNETES MONITORING AND LOGGING IN KUBERNETES Additional course details: Nexus Humans Cisco Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0 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 Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0 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 5 Days 30 CPD hours This course is intended for IS Security Officers IS Managers Risk Managers Auditors Information Systems Owners IS Control Assessors System Managers Government Employees Overview The person who carries this certification should be able to acquire necessary resources, advise senior leadership, collaborate with stakeholders, evaluate effectiveness, identify cybersecurity problems, manage threats, oversee information security awareness programs, participate in risk assessments, support compliance activities, and define or implement policies and procedures to ensure protection of critical infrastructure within an information security environment. If you are looking for the ?gotta have it? cybersecurity course, then the Certified Information Systems Security Officer is for you.ÿ The C)ISSO will prepare you for multiple managerial roles inside the INFOSEC community by covering a broad range of topics. You will learn theories in security concepts, practices, monitoring and compliance in IS management. An Information Systems Security Officer is able to implement and maintain cost-effective security controls that are closely aligned with business and industry standards. The C)ISSO certification course is an idealÿway to increaseÿknowledge, expertise, and skill for managers, auditors, and INFOSEC professionals.ÿ At Mile2 we consider the C)ISSO to be one of our flagship courses.The things you learn in this course can be applied to management, prevention teams, and recovery professionals. Material learned in the Live Class or Self-Study options will apply directly to the certification exam. Course Outline Risk Management Security Management Identification and Authentication Access Control Security Models and Evaluation Operations Security Vulnerability Assessments Symmetric Cryptography and Hashing Network Connections Network Protocols and Devices Telephony, VPNs, and Wireless Security Architecture and Attacks Software Development Security Database Security Malware and Software Attacks Business Continuity Disaster Recovery Incident Management, Law, and Ethics Physical Security Additional course details: Nexus Humans C)ISSO - Certified Information Security Systems Officer Mile 2 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 C)ISSO - Certified Information Security Systems Officer Mile 2 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 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 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning 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 Deep Learning 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 2 Days 12 CPD hours Overview #NAME? A course that teaches the core Adobe Captivate skills needed to create eLearning courses. 1 - EXPLORING CAPTIVATE Explore a Finished Captivate Project Zoom and Magnify Navigate a Project Explore and Reset the Workspace Preview the Entire Project 2 - NEW PROJECTS & SOFT SKILLS ELEARNING Create a Blank Project Add Images to Placeholders Import Images Use a Smart Shape as a Button Disable Click Sounds 3 - SCREEN RECORDINGS Rehearse a Script Review Recording Settings Review Recording Modes Record Using Multiple Modes Record a Custom Simulation Record a Demonstration that Pans Manually Record the Screen 4 - VIDEO DEMOS Record a Video Demo Add a Video Zoom Add a Video Pan Smooth a Mouse Path and Show Visual Clicks Split a Video Trim a Video Insert a Video Project into a Standard Project Publish a Video Demo 5 - CAPTIONS, STYLES, TIMING, AND ROUND TRIPPING Insert and Edit Text Captions Edit the Default Caption Style Change a Callout Type Used by a Text Caption Control Slide Timing Control Slide Object Timing Check Spelling Align Slide Objects Export Captions to Word Import Captions from Word into Captivate 6 - POINTERS, PATHS, PATHS, BOXES, AND BUTTONS Control Mouse Effects Edit a Mouse Path Clone an Object Style Insert a Highlight Box Insert an Image Button Control Appear After Timing 7 - IMAGES AND VIDEOS Insert, Resize, and Restore an Image Import Images into the Library Resize, Transform, and Align Images Manage Unused Library Assets Create an Image Slideshow Insert a Video Set Video Properties 8 - AUDIO Work with Rollover Captions Import Audio onto a Slide Object Import Background Audio Add a Slide Note Calibrate a Microphone Record Slide Audio Import Audio onto a Slide Edit an Audio File Insert Silence Convert Text-to-Speech 9 - STATES, ANIMATIONS, AND OBJECT EFFECTS Change State Views for a Button Add an Animation to a slide Insert a Text Animation Apply an Effect to a Slide Object Apply a Free Fall Effect to an Object 10 - SOFTWARE SIMULATIONS Hide the Mouse Replace Phrases Insert a Click Box Insert a Text Entry Box 11 - WORKING WITH POWERPOINT Create a Project from a Presentation Edit the Source Presentation Synchronize with Source Rescale a Project 12 - QUIZZING Edit Quizzing Object Styles Set the Quiz Preferences Question Slides Insert Question Slides Edit a Question Slide Compare Submit All to Submit Buttons Insert a Knowledge Check Review a GIFT File Import a GIFT File into a Project Create Question Pools Move Questions to Pools Insert Random Question Slides 13 - PUBLISHING Apply a Skin Edit, Save, and Delete a Skin Name Slides Check Publish Settings and Add a Loading Screen Publish as SWF and PDF Run the HTML5 Tracker Publish as HTML5

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

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