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Duration 3 Days 18 CPD hours This course is intended for Business application consultant Data Consultant / Manager Database Administrator Application developer BI specialist Overview This course will prepare you to: Understand and put into practice the main advanced modeling capabilities of SAP HANA 2.0 SPS04 in the areas of text search and analysis, graph modeling, spatial analysis and predictive modeling. Promote these advanced modeling capabilities to extend the core SAP HANA Modeling features. Broaden your experience with the modern SAP HANA tooling in XS Advanced (SAP Web IDE for SAP HANA) This course provides advanced knowledge and practical experience on several topics that are included in, or connected to, the scope of the modeler role. Its purpose is to take a step further, beyond the core modeling knowledge from HA300, and to demonstrate how applications powered by SAP HANA can benefit from innovations such as Spatial Data Storage and Processing, Text Search and Analysis, Predictive Analysis and Graph Modeling.The course is supported by many demos and exercise, which demonstrate the advanced modeling capabilities in several scenarios. For example, working with classical schemas or HDI containers in XS Advanced, using the SQL console, developing graphical models. Some of the proposed case studies blend together several modeling capabilities, such as text with spatial, or text with graph.An introduction to SAP HANA Series Data is also provided. Introduction to Advanced ModelingSAP HANA Predictive Analysis Library (PAL) Describing SAP HANA PAL Using PAL in Flowgraphs Calling PAL Functions in Calculation Views Calling PAL Procedures in SQL Scripts Exploring the PAL Library SAP HANA Spatial Introducing SAP HANA Spatial Working with Spatial Data Types Importing and Exporting Spatial Data Accessing and Manipulating Spatial Data Using Spatial Clustering SAP HANA Graph Defining SAP HANA Graph Workspace Describing the Different Graph Algorithms Using the Graph Node in Calculation Views Using GraphScript Procedures SAP HANA Text Understanding Full Text Search Understanding Text Analysis Understanding Text Mining SAP HANA Series Data Getting Started with SAP HANA Series Data

PYTHON BOOTCAMP: This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts . You will be fully fluent and confident as a Python data analyst, with full understanding of Python Programming. From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards The course is a practical, instructor-lead program.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Platform Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing,storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. 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 Identify the purpose of projects on Google Cloud. Understand how Azure's resource hierarchy differs from Google Cloud's Understand the purpose of and use cases for Identity and Access Management. Understand how Azure AD differs from Google Cloud IAM. List the methods of interacting with Google Cloud. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine Understand the basics of networking in Google Cloud. Understand how Azure VPC differs from Google VPC. Understand the similarities and differences between Azure VM and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure. Deploy applications using Google Compute Engine Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Azure Blob compares to Cloud Storage. Compare Google Cloud?s managed database services with Azure SQL. Learn how to choose among the various storage options on Google Cloud. Load data from Cloud Storage into BigQuery Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Azure App Service. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Google Cloud Deployment Manager differs from Azure Resource Manager. Understand the purpose of integrated monitoring, alerting, and debugging Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from Azure Data Lake. Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from Azure's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from Azure to Google Cloud.

OVERVIEW This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data. The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service. COURSE BENEFITS: Learn how to clean, transform, and load data from many sources Use database queries in Power Query to combine tables using append and merge Create and manage a data model in Power BI consisting of multiple tables connected with relationships Build Measures and other calculations in the DAX language to plot in reports Manage advanced time calculations using date tables Optimise report calculations using the Performance Analyzer Manage and share report assets to the Power BI Service Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware WHO IS THE COURSE FOR? Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Management Consultants who need to conduct rapid analysis of their clients’ data to answer specific business questions Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use COURSE OUTLINE Module 1 Getting Started With Microsoft Data Analytics Data analytics and Microsoft Getting Started with Power BI Module 2 Get Data In Power BI Get data from various data sources Optimize performance Resolve data errors Lab: Prepare Data in Power BI Desktop Module 3 Clean, Transform And Load Data In Power BI Data shaping Data profiling Enhance the data structure Lab: Load Data in Power BI Desktop Module 4 Design A Data Model In Power BI Introduction to data modelling Working with Tables Dimensions and Hierarchies Lab: Model Data in Power BI Desktop Module 5 Create Model Calculations Using DAX In Power BI Introduction to DAX Real-time Dashboards Advanced DAX Lab 1: Create DAX Calculations in Power BI Desktop, Part 1 Lab 2: Create DAX Calculations in Power BI Desktop, Part 2 Module 6 Optimize Model Performance Optimize the data model for performance Optimize DirectQuery models Module 7 Create Reports Design a Report Enhance the Report Lab 1: Design a Report in Power BI Desktop, Part 1 Lab 2: Design a Report in Power BI Desktop, Part 2 Module 8 Create Dashboards Create a Dashboard Real-time Dashboards Enhance a Dashboard Lab: Create a Power BI Dashboard Module 9 Perform Advanced Analytics Advanced analytics Data Insights through AI Visuals Lab: Perform Data Analysis in Power BI Desktop Module 10 Create And Manage Workspaces Creating Workspaces Sharing and managing assets Module 11 Manage Datasets In Power BI Parameters Datasets Module 12 Row-Level Security Security in Power BI Lab: Enforce Row-Level Security

Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling

Duration 1 Days 6 CPD hours This course is intended for This course is designed for students who need to learn database design essentials, typically in preparation for, or as a supplement to, a course on SQL such as SQL Querying: Fundamentals and courses on specific relational database platforms. Overview In this course, you will perform steps to design a relational database, including gathering requirements, data modeling, and planning implementation. You will: - Follow an efficient process for designing a relational database - Define the database conceptual model - Define the database logical model - Apply database normalization methods to improve the initial design of a database - Complete the database design, including controls to ensure its referential integrity and data integrity This course introduces you to a process for effectively planning and designing a functional, efficient database. Knowing how to plan a relational database is important to the success of the databases you create. Without planning, you cannot possibly know what the database needs to do, or even what information to include in the database. Planning a database is essential, and prevents the extra work of fixing data maintenance problems later on. The concepts are not specific to a particular software application and can be applied to any relational database management system. Getting Started with Relational Database Design Identify Database Components Identify Common Database Design Problems Follow a Database Design Process Gather Requirements Defining the Database Conceptual Model Create the Conceptual Model Identify Entity Relationships Defining the Database Logical Model Identify Columns Identify Primary Keys Identify and Diagram Relationships Normalizing Data Avoid Common Database Design Errors Comply with Higher Normal Forms Finalizing the Database Design Adapt the Physical Model for Different Systems Ensure Referential Integrity Ensure Data Integrity at the Column Level Ensure Data Integrity at the Table Level Design for the Cloud Additional course details: Nexus Humans Database Design - A Modern Approach 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 Database Design - A Modern Approach 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 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server, Windows client, Azure, and Microsoft 365 administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of PowerShell or any scripting language is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Microsoft Exchange Server, Microsoft SharePoint Server, and Microsoft SQL Server. This course provides students with the fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers. This course provides students the skills to identify and build the command they require to perform a specific task. In addition, students learn how to build scripts to accomplish advanced tasks such as automating repetitive tasks and generating reports. This course provides prerequisite skills supporting a broad range of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. In keeping with that goal, this course will not focus on any one of those products, although Windows Server, which is the common platform for all of those products, will serve as the example for the techniques this course teaches. Prerequisites Before attending this course, students must have: -Experience with Windows networking technologies and implementation. - Experience with Windows Server administration, maintenance, and troubleshooting. 1 - Review Windows PowerShell Learn about Windows PowerShell Get familiar with Windows PowerShell applications Identify factors to install and use Windows PowerShell Configure the Windows PowerShell console Configure the Windows PowerShell Integrated Scripting Environment (ISE) Use Visual Studio Code with PowerShell 2 - Understand the command syntax in Windows PowerShell Discover the structure of PowerShell cmdlets Discover the parameters for using PowerShell cmdlets Review the tab completion feature in PowerShell Display the About files content in PowerShell 3 - Find commands and Get-Help in Windows PowerShell Define modules in PowerShell Find cmdlets in PowerShell Use command aliases in PowerShell Use Show-Command and Get-Help in PowerShell Interpret the help file contents and update the local help content in PowerShell 4 - Manage Active Directory Domain Services using PowerShell cmdlets Manage user accounts in PowerShell Manage groups and group memberships in PowerShell Manage computer accounts in PowerShell Manage organizational units and Active Directory objects in PowerShell 5 - Manage network service settings for Windows devices using PowerShell cmdlets Manage IP addresses in PowerShell Manage IP routing in PowerShell Manage DNS clients in PowerShell Manage Windows Firewall settings in PowerShell 6 - Manage Windows Server settings using PowerShell cmdlets Automate management tasks using the Group Policy management cmdlets Manage server roles and services using PowerShell cmdlets Manage Hyper-V Virtual Machines using PowerShell cmdlets Manage Internet Information Services using PowerShell cmdlets 7 - Manage settings for a local Windows machine using PowerShell cmdlets Manage Windows 10 using PowerShell Manage permissions with PowerShell 8 - Understand the Windows PowerShell pipeline Review Windows PowerShell pipeline and its output Discover object members in PowerShell Control the formatting of pipeline output 9 - Select, sort, and measure objects using the pipeline Sort and group objects by property in the pipeline Measure objects in the pipeline Select a set of objects in the pipeline Select object properties in the pipeline Create and format calculated properties in the pipeline 10 - Filter objects out of the pipeline Learn about the comparison operators in PowerShell Review basic filter syntax in the pipeline Review advanced filter syntax in the pipeline Optimize the filter performance in the pipeline 11 - Enumerate objects in the pipeline Learn about enumerations in the pipeline Review basic syntax to enumerate objects in the pipeline Review advanced syntax to enumerate objects in the pipeline 12 - Send and pass data as output from the pipeline Write pipeline data to a file Convert pipeline objects to other forms of data representation in PowerShell Control additional output options in PowerShell 13 - Pass pipeline objects Pipeline parameter binding Identify ByValue parameters Pass data by using ByValue Pass data by using ByPropertyName Identify ByPropertyName parameters Use manual parameters to override the pipeline Use parenthetical commands Expand property values 14 - Connect with data stores using PowerShell providers Define Windows PowerShell providers Review the built-in providers in PowerShell Access provider help in PowerShell 15 - Use PowerShell drives in PowerShell Explain PowerShell drives in PowerShell Use PowerShell drive cmdlets in PowerShell Manage the file system in PowerShell Manage the registry in PowerShell Work with certificates in PowerShell Work with other PowerShell drives in PowerShell 16 - Review CIM and WMI Review architecture of CIM and WMI Review repositories in CIM and WMI Locate online class documentation by using CIM and WMI cmdlets 17 - Query configuration information by using CIM and WMI List local repository namespaces and classes by using CIM and WMI Query instances by using commands and WMI Query Language Connect to remote computers by using CIM and WMI cmdlets Query repository classes from remote computers by using CIMSession objects 18 - Query and manipulate repository objects by using CIM and WMI methods Discover methods of repository objects by using CIM and WMI Locate class methods and documentation by using CIM and WMI Invoke methods of repository objects by using CIM and WMI 19 - Manage variables in Windows PowerShell scripts Define variables in Windows PowerShell scripts Create variable names in Windows PowerShell scripts Assign values and types to variables in Windows PowerShell scripts Identify the methods and properties of variables in Windows PowerShell scripts Use string variables and methods in Windows PowerShell scripts Use date variables and methods in Windows PowerShell scripts 20 - Work with arrays and hash tables in Windows PowerShell scripts Define an array in Windows PowerShell scripts Work with array lists in Windows PowerShell scripts Define hash tables in Windows PowerShell Scripts Work with hash tables in Windows PowerShell scripts 21 - Create and run scripts by using Windows PowerShell Review Windows PowerShell scripts Modify scripts in the PowerShell Gallery Create scripts using Windows PowerShell Review the PowerShellGet module in Windows PowerShell Run scripts and set the execution policy in Windows PowerShell Review Windows PowerShell and AppLocker Sign the scripts digitally in Windows PowerShell 22 - Work with scripting constructs in Windows PowerShell Review and use the ForEach loop in Windows PowerShell scripts Review and use the If construct in Windows PowerShell scripts Review and use the Switch construct in Windows PowerShell scripts Review the For construct in Windows PowerShell scripts Review other loop constructs in Windows PowerShell scripts Review Break and Continue in Windows PowerShell scripts 23 - Import data in different formats for use in scripts by using Windows PowerShell cmdlets Use the Get-Content command in Windows PowerShell scripts Use the Import-Csv cmdlet in Windows PowerShell scripts Use the Import-Clixml cmdlet in Windows PowerShell scripts Use the ConvertFrom-Json cmdlet in Windows PowerShell scripts 24 - Use methods to accept user inputs in Windows PowerShell scripts Identify values that might change in Windows PowerShell scripts Use the Read-Host cmdlet in Windows PowerShell scripts Use the Get-Credential cmdlet in Windows PowerShell scripts Use the Out-GridView cmdlet in Windows PowerShell scripts Pass parameters to a Windows PowerShell script 25 - Troubleshoot scripts and handle errors in Windows PowerShell Interpret error messages generated for Windows PowerShell commands Add output to Windows PowerShell scripts Use breakpoints in Windows PowerShell scripts Interpret error actions for Windows PowerShell commands 26 - Use functions and modules in Windows PowerShell scripts Review functions in Windows PowerShell scripts Use variable scope in Windows PowerShell scripts Create modules in Windows PowerShell scripts Use the dot sourcing feature in Windows PowerShell 27 - Manage single and multiple computers by using Windows PowerShell remoting Review the remoting feature of Windows PowerShell Compare remoting with remote connectivity Review the remoting security feature of Windows PowerShell Enable remoting by using Windows PowerShell Use one-to-one remoting by using Windows PowerShell Use one-to-many remoting by using Windows PowerShell Compare remoting output with local output 28 - Use advanced Windows PowerShell remoting techniques Review common remoting techniques of Windows PowerShell Send parameters to remote computers in Windows PowerShell Set access protection to variables, aliases, and functions by using the scope modifier Enable multi-hop remoting in Windows PowerShell 29 - Manage persistent connections to remote computers by using Windows PowerShell sessions Review persistent connections in Windows PowerShell Create and manage persistent PSSessions by using Windows PowerShell Disconnect PSSessions by using Windows PowerShell Review the feature of implicit remoting in Windows PowerShell 30 - Review Azure PowerShell module Review Azure PowerShell Review the benefits of the Azure PowerShell module Install the Azure PowerShell module Migrate Azure PowerShell from AzureRM to Azure Review Microsoft Azure Active Directory module for Windows PowerShell and Azure Active Directory PowerShell for Graph modules 31 - Review the features and tools for Azure Cloud Shell Review the characteristics of Azure Cloud Shell Review the features and tools of Azure Cloud Shell Configure and experiment with Azure Cloud Shell 32 - Manage Azure resources with Windows PowerShell Create a new Azure virtual machine by using Windows PowerShell commands Manage Azure virtual machines by using Windows PowerShell commands Manage Azure related storage by using Azure PowerShell Manage Azure subscriptions by using Azure PowerShell 33 - Manage users, groups, and licenses in Microsoft Entra ID by using Windows PowerShell Review benefits to manage Microsoft 365 services by using Windows PowerShell Connect to the Microsoft 365 tenant by using Windows PowerShell Manage users in Microsoft 365 by using Windows PowerShell Manage groups in Microsoft 365 by using Windows PowerShell Manage roles in Microsoft 365 by using Windows PowerShell Manage licenses in Microsoft 365 by using Windows PowerShell 34 - Manage Exchange Online by using Windows PowerShell Connect to Exchange Online by using Windows PowerShell Manage mailboxes in Exchange Online by using Windows PowerShell Manage resources in Exchange Online by using Windows PowerShell Manage admin roles in Exchange Online by using Windows PowerShell 35 - Manage SharePoint Online by using Windows PowerShell Install and connect to SharePoint Online Management Shell by using Windows PowerShell Manage SharePoint Online users and groups by using Windows PowerShell Manage SharePoint sites by using Windows PowerShell Manage SharePoint Online external user sharing by using Windows PowerShell 36 - Manage Microsoft Teams by using Windows PowerShell Review Microsoft Teams PowerShell module Install the Microsoft Teams PowerShell module Manage teams with Microsoft Teams PowerShell module 37 - Create and manage background jobs using Windows PowerShell Define the types of background jobs in Windows PowerShell Start remote jobs and CIM/WMI jobs in Windows PowerShell Monitor jobs in Windows PowerShell Retrieve results for running jobs in Windows PowerShell 38 - Create and manage scheduled jobs using Windows PowerShell Create and run Windows PowerShell scripts as scheduled tasks Define scheduled jobs in Windows PowerShell Create job option and job trigger objects in Windows PowerShell Create and register a scheduled job in Windows PowerShell Retrieve the results from a scheduled job in Windows PowerShell

Duration 3 Days 18 CPD hours This course is intended for This course is designed for network and software engineers interested in Cisco Collaboration and Webex automation and who hold job roles such as: Collaboration Sales Engineer Collaboration Software Developer Collaboration Solutions Architect Consulting Systems Engineer Network Administrator Network Engineer Network Manager Software Architect Software Developer Systems Engineer Technical Solutions Architect Wireless Design Engineer Wireless Engineer Overview After taking this course, you should be able to: Examine API and automation capabilities and concepts for Cisco Unified Communication Manager Examine API and automation capabilities and concepts for Cisco Unity Connection Examine API and automation capabilities and concepts for Cisco Finesse Examine Experience API (xAPI) and automation capabilities and concepts for Cisco Collaboration endpoints Examine API and automation capabilities and concepts for Cisco Webex Teams Examine API and automation capabilities and concepts for Cisco Webex Meetings This course teaches you how to implement Cisco© Collaboration automated, programmable solutions for voice, video, collaboration, and conferencing on-premises or in the cloud, including Cisco Unified Communications Manager, Cisco IP Phone Services, Cisco Unity© Connection, Cisco Finesse©, Cisco Collaboration Endpoints, Cisco Webex Teams?, and Cisco Webex© Meetings. You will also learn how to use Application Programming Interfaces (APIs) interfaces such as Representational State Transfer (REST) and Simple Object Access Protocol (SOAP), parsing data in Extensible Markup Language (XML) and JavaScript Object Notation (JSON) formats, and leverage frameworks such as Python. This course prepares you for the 300-835 Automating and Programming Cisco Collaboration Solutions (CLAUTO) certification exam, and specialization toward the CCNP Collaboration certification. Course Outline Automating Cisco Unified Communications Manager Automating Cisco Unity Connection Automating Cisco Finesse Examining Cisco Collaboration Endpoint Automation Examining Cisco Cloud Collaboration Automation Examining Cisco Conferencing Automation Lab outline Configure the Initial Collaboration Lab Environment Verify Phone Details Configure Phone Line Label Configure User Pin Configure System Forward No Answer Timer Configure Route Plan Report Deploy Basic SQL Query Deploy Advanced SQL Query Configure an Alternate Extension in Cisco Unity Connection Configure Voicemail Pin Verify Agent Settings Deploy Gadget Deploy Modify Call Via Video Codec Configure System Name and Branding Deploy and Monitor Video Call Configure Custom Control Panel Deploy Macro Verify Cisco Webex Organization and License Information Configure New Cisco Webex Teams Room Deploy Interactive Bot Deploy Widget Configure Cisco Webex Meetings User Configure and Record Cisco Webex Meeting Verify System Status Configure Host Access on Cisco Meeting Server Spaces Additional course details: Nexus Humans Cisco Implementing Automation for Cisco Collaboration Solutions (CLAUI) 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 Automation for Cisco Collaboration Solutions (CLAUI) 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 Students in this course are interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam. This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms Prerequisites Successful learners will have prior knowledge and understanding of: Cloud computing concepts, including an understanding of PaaS, SaaS, and IaaS implementations. Both Azure administration and Azure development with proven expertise in at least one of these areas. Version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software. AZ-104T00 - Microsoft Azure Administrator AZ-204T00: Developing Solutions for Microsoft Azure 1 - Introduction to DevOps What is DevOps? Explore the DevOps journey Identify transformation teams Explore shared goals and define timelines 2 - Choose the right project Explore greenfield and brownfield projects Decide when to use greenfield and brownfield projects Decide when to use systems of record versus systems of engagement Identify groups to minimize initial resistance Identify project metrics and key performance indicators (KPIs) 3 - Describe team structures Explore agile development practices Explore principles of agile development Define organization structure for agile practices Explore ideal DevOps team members Enable in-team and cross-team collaboration Select tools and processes for agile practices 4 - Choose the DevOps tools What is Azure DevOps? What is GitHub? Explore an authorization and access strategy Migrate or integrate existing work management tools Migrate or integrate existing test management tools Design a license management strategy 5 - Plan Agile with GitHub Projects and Azure Boards Link GitHub to Azure Boards Configure GitHub Projects Manage work with GitHub Project boards Customize Project views Collaborate using team discussions Agile Plan and Portfolio Management with Azure Boards 6 - Introduction to source control Explore DevOps foundational practices What is source control? Explore benefits of source control Explore best practices for source control 7 - Describe types of source control systems Understand centralized source control Understand distributed source control Explore Git and Team Foundation Version Control Examine and choose Git Understand objections to using Git Describe working with Git locally 8 - Work with Azure Repos and GitHub Migrate from TFVC to Git Use GIT-TFS Develop online with GitHub Codespaces 9 - Structure your Git Repo Explore monorepo versus multiple repos Implement a change log 10 - Manage Git branches and workflows Explore branch workflow types Explore feature branch workflow Explore Git branch model for continuous delivery Explore GitHub flow Explore fork workflow Version Control with Git in Azure Repos 11 - Collaborate with pull requests in Azure Repos Collaborate with pull requests Examine GitHub mobile for pull request approvals 12 - Identify technical debt Examine code quality Examine complexity and quality metrics Measure and manage technical debt Integrate other code quality tools Plan effective code reviews 13 - Explore Git hooks Implement Git hooks 14 - Plan foster inner source Explore foster inner source Implement the fork workflow Describe inner source with forks 15 - Manage Git repositories Work with large repositories Purge repository data Manage releases with GitHub Repos Automate release notes with GitHub 16 - Explore Azure Pipelines Explore the concept of pipelines in DevOps Describe Azure Pipelines Understand Azure Pipelines key terms 17 - Manage Azure Pipeline agents and pools Choose between Microsoft-hosted versus self-hosted agents Explore job types Explore predefined agent pool Understand typical situations for agent pools Communicate with Azure Pipelines Communicate to deploy to target servers Examine other considerations Describe security of agent pools Configure agent pools and understanding pipeline styles 18 - Describe pipelines and concurrency Understand parallel jobs Estimate parallel jobs Describe Azure Pipelines and open-source projects Explore Azure Pipelines and Visual Designer Describe Azure Pipelines and YAML 19 - Explore continuous integration Learn the four pillars of continuous integration Explore benefits of continuous integration Describe build properties Enable Continuous Integration with Azure Pipelines 20 - Implement a pipeline strategy Configure agent demands Implement multi-agent builds Explore source control types supported by Azure Pipelines 21 - Integrate with Azure Pipelines Describe the anatomy of a pipeline Understand the pipeline structure Detail templates Explore YAML resources Use multiple repositories in your pipeline 22 - Introduction to GitHub Actions What are Actions? Explore Actions flow Understand workflows Describe standard workflow syntax elements Explore events Explore jobs Explore runners Examine release and test an action 23 - Learn continuous integration with GitHub Actions Describe continuous integration with actions Examine environment variables Share artifacts between jobs Examine Workflow badges Describe best practices for creating actions Mark releases with Git tags Create encrypted secrets Use secrets in a workflow Implement GitHub Actions for CI/CD 24 - Design a container build strategy Examine structure of containers Work with Docker containers Understand Dockerfile core concepts Examine multi-stage dockerfiles Examine considerations for multiple stage builds Explore Azure container-related services Deploy Docker containers to Azure App Service web apps 25 - Introduction to continuous delivery Explore traditional IT development cycle What is continuous delivery? Move to continuous delivery Understand releases and deployments Understand release process versus release 26 - Create a release pipeline Describe Azure DevOps release pipeline capabilities Explore release pipelines Explore artifact sources Choose the appropriate artifact source Examine considerations for deployment to stages Explore build and release tasks Explore custom build and release tasks Explore release jobs Configure Pipelines as Code with YAML 27 - Explore release recommendations Understand the delivery cadence and three types of triggers Explore release approvals Explore release gates Use release gates to protect quality Control Deployments using Release Gates 28 - Provision and test environments Provision and configure target environments Configure automated integration and functional test automation Understand Shift-left Set up and run availability tests Explore Azure Load Testing Set up and run functional tests 29 - Manage and modularize tasks and templates Examine task groups Explore variables in release pipelines Understand variable groups 30 - Automate inspection of health Automate inspection of health Explore events and notifications Explore service hooks Configure Azure DevOps notifications Configure GitHub notifications Explore how to measure quality of your release process Examine release notes and documentation Examine considerations for choosing release management tools Explore common release management tools 31 - Introduction to deployment patterns Explore microservices architecture Examine classical deployment patterns Understand modern deployment patterns 32 - Implement blue-green deployment and feature toggles What is blue-green deployment? Explore deployment slots Describe feature toggle maintenance 33 - Implement canary releases and dark launching Explore canary releases Examine Traffic Manager Understand dark launching 34 - Implement A/B testing and progressive exposure deployment What is A/B testing? Explore CI-CD with deployment rings 35 - Integrate with identity management systems Integrate GitHub with single sign-on (SSO) Explore service principals Explore Managed Identity 36 - Manage application configuration data Rethink application configuration data Explore separation of concerns Understand external configuration store patterns Examine Key-value pairs Examine App configuration feature management Integrate Azure Key Vault with Azure Pipelines Manage secrets, tokens and certificates Examine DevOps inner and outer loop Integrate Azure Key Vault with Azure DevOps Enable Dynamic Configuration and Feature Flags 37 - Explore infrastructure as code and configuration management Explore environment deployment Examine environment configuration Understand imperative versus declarative configuration Understand idempotent configuration 38 - Create Azure resources using Azure Resource Manager templates Why use Azure Resource Manager templates? Explore template components Manage dependencies Modularize templates Manage secrets in templates Deployments using Azure Bicep templates 39 - Create Azure resources by using Azure CLI What is Azure CLI? Work with Azure CLI 40 - Explore Azure Automation with DevOps Create automation accounts What is a runbook? Understand automation shared resources Explore runbook gallery Examine webhooks Explore source control integration Explore PowerShell workflows Create a workflow Examine checkpoint and parallel processing 41 - Implement Desired State Configuration (DSC) Understand configuration drift Explore Desired State Configuration (DSC) Explore Azure Automation State configuration (DSC) Examine DSC configuration file Explore hybrid management Implement DSC and Linux Automation on Azure 42 - Implement Bicep What is Bicep? Install Bicep Understand Bicep file structure and syntax 43 - Introduction to Secure DevOps Describe SQL injection attack Understand DevSecOps Explore Secure DevOps Pipeline Explore key validation points Explore continuous security validation Understand threat modeling 44 - Implement open-source software Explore how software is built What is open-source software Explore corporate concerns with open-source software components Explore common open-source licenses Examine license implications and ratings 45 - Software Composition Analysis Inspect and validate code bases for compliance Explore software composition analysis (SCA) Integrate Mend with Azure Pipelines Implement GitHub Dependabot alerts and security updates Integrate software composition analysis checks into pipelines Examine tools for assess package security and license rate Interpret alerts from scanner tools Implement security and compliance in an Azure Pipeline 46 - Static analyzers Explore SonarCloud Explore CodeQL in GitHub Manage technical debt with SonarCloud and Azure DevOps 47 - OWASP and Dynamic Analyzers Plan Implement OWASP Secure Coding Practices Explore OWASP ZAP penetration test Explore OWASP ZAP results and bugs 48 - Security Monitoring and Governance Implement pipeline security Explore Microsoft Defender for Cloud Examine Microsoft Defender for Cloud usage scenarios Explore Azure Policy Understand policies Explore initiatives Explore resource locks Explore Azure Blueprints Understand Microsoft Defender for Identity 49 - Explore package dependencies What is dependency management? Describe elements of a dependency management strategy Identify dependencies Understand source and package componentization Decompose your system Scan your codebase for dependencies 50 - Understand package management Explore packages Understand package feeds Explore package feed managers Explore common public package sources Explore self-hosted and SaaS based package sources Consume packages Publish packages Package management with Azure Artifacts 51 - Migrate consolidating and secure artifacts Identify existing artifact repositories Migrate and integrating artifact repositories Secure access to package feeds Examine roles Examine permissions Examine authentication 52 - Implement a versioning strategy Understand versioning of artifacts Explore semantic versioning Examine release views Promote packages Explore best practices for versioning 53 - Introduction to GitHub Packages Publish packages Install a package Delete and restore a package Explore package access control and visibility 54 - Implement tools to track usage and flow Understand the inner loop Explore Azure Monitor and Log Analytics Examine Kusto Query Language (KQL) Explore Application Insights Implement Application Insights Monitor application performance with Application Insights 55 - Develop monitor and status dashboards Explore Azure Dashboards Examine view designer in Azure Monitor Explore Azure Monitor workbooks Explore Power BI Build your own custom application 56 - Share knowledge within teams Share acquired knowledge within development teams Integrate with Azure Boards Share team knowledge using Azure Project Wiki 57 - Design processes to automate application analytics Explore rapid responses and augmented search Integrate telemetry Examine monitoring tools and technologies 58 - Manage alerts, blameless retrospectives and a just culture Examine when get a notification Explore how to fix it Explore smart detection notifications Improve performance Understand server response time degradation Reduce meaningless and non-actionable alerts Examine blameless retrospective Develop a just culture