138 Courses

Duration 5 Days 30 CPD hours This course is intended for This advanced course is for individuals who are experienced AIX system administrators with TCP/IP networking and AIX Logical Volume Manager (LVM) experience, who are responsible for the planning and installation of a PowerHA SystemMirror 7.1 and later cluster on an IBM power systems server running AIX 6.1 or later. The lab exercises are conducted on an AIX 7.1 TL2-level system. Overview Explain what high availability is Outline the capabilities of PowerHA SystemMirror Design and plan a highly available cluster Install and configure PowerHA SystemMirror in the following modes of operation: Single resource group on a primary node with standby node Two resource groups in a mutual takeover configuration Implement the trusted execution feature of AIX 6.1 Configure resource group startup, fallover, and fallback policies Perform system administration tasks for PowerHA Perform customization for PowerHA Perform problem determination and recovery This course is designed to prepare you to perform administration on a highly available cluster using PowerHA SystemMirror for AIX. It introduces concepts; design and planning considerations; installation and configuration; customization; and maintenance. Day 1 Introduction to PowerHA SystemMirror Planning and configuring network and storage Day 2 Configuring applications for PowerHA SystemMirror Configuring a PowerHA SystemMirror cluster Day 3 Cluster validation and testing PowerHA SystemMirror administration Day 4 PowerHA SystemMirror event processing Basic Troubleshooting Day 5 PowerHA SystemMirror installation

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is individuals who administer and maintain SQL Server databases. These individuals perform database administration and maintenance as their primary area of responsibility, or work in environments where databases play a key role in their primary job. The secondary audiences for this course are individuals who develop applications that deliver content from SQL Server databases. Overview After completing this course, you will be able to: Authenticate and authorize users Assign server and database roles Authorize users to access resources Use encryption and auditing features to protect data Describe recovery models and backup strategies Backup and Restore SQL Server databases Automate database management Configure security for the SQL Server agent Manage alerts and notifications Managing SQL Server using PowerShell Trace access to SQL Server Monitor a SQL Server infrastructure Troubleshoot a SQL Server infrastructure Import and export data This course will provide training in how to administer and maintain SQL Server, Azure SQL Database and other cloud-based SQL Server databases. IT professionals who work in environments where databases play a key role in their job will find this material useful. By using demonstrations and hands-on lab exercises, students will learn to carry out these important tasks. This course covers content that was in retired Microsoft Course 20764: Administering a SQL Database Infrastructure. 1 - Creating advanced functions Lesson 1: Converting a command into an advanced function Lesson 2: Creating a script module Lesson 3: Defining parameter attributes and input validation Lesson 4: Writing functions that accept pipeline input Lesson 5: Producing complex pipeline output Lesson 6: Using comment-based Help Lesson 7: Using Whatif and Confirm parameters 2 - Using Microsoft .NET Framework and REST API in Windows PowerShell Lesson 1: Using .NET Framework in PowerShell Lesson 2: Using REST API in PowerShell 3 - Writing controller scripts Lesson 1: Understanding controller scripts Lesson 2: Writing controller scripts with a user interface Lesson 3: Writing controller scripts that create reports 4 - Handling script errors Lesson 1: Understanding error handling Lesson 2: Handling errors in a script 5 - Using XML, JSON, and custom-formatted data Lesson 1: Working with XML formatted data Lesson 2: Working with JSON formatted data Lesson 3: Working with custom-formatted data 6 - Enhancing server management with Desired State Configuration and Just Enough Administration Lesson 1: Implementing Desired State Configuration Lesson 2: Implementing Just Enough Administration 7 - Analyzing and debugging scripts Lesson 1: Debugging in Windows PowerShell Lesson 2: Analyzing and debugging an existing script 8 - Understanding Windows PowerShell Workflow Lesson 1: Understanding Windows PowerShell Workflows Lesson 2: Running Windows PowerShell Workflows

Duration 3.25 Days 19.5 CPD hours This course is intended for This course is intended for IT administrators with a minimum 2-5 years of experiencing working with Microsoft Windows Server, Windows 10, and Office 365 licensing. The course will utilize a pre-provisioned lab environment which includes Microsoft 365 E5 licenses and Enterprise Mobility and Security E5 licenses for each student. Powershell management topics will be discussed where applicable in the respective topics. This course will address Windows devices only enrolled in Intune. Configuring and Licensing Intune Endpoint Manager - quick discussion, portal access Discuss which licenses include Intune Discuss Microsoft Intune device-only subscription Discuss Azure Active Directory basic, P1, P2 licensing Intune setup and overview of capabilities Supported configurations Logging in and using Intune Admin portal via Azure Portal and via Endpoint manager site Configure a domain name (needed to support labs though may be done already for E1B/district) Add users and groups in Azure Portal Configure Azure AD connect and discuss AAD Connect Health Assigning licenses manually, via Powershell, and via AAD groups Set the MDM authority and enable device enrollment Add Apps to Intune - covered in detail in a later topic Configuring device profiles - covered in detail in a later topic Company Portal discussion - covered in detail in a later topic Configure app policies - covered in detail in a later topic Windows device management What is co-management - brief discussion on Endpoint Manager with Configuration Manager Registering, joining, hybrid join to Azure AD Enrollment method capabilities Azure AD joined Azure AD joined with Autopilot (User driven mode) Azure AD joined with Autopilot (Self deploying mode) Autopilot pre-provisioned deployment (formally known as white-glove) Device group tags for profile deployment Troubleshooting Autopilot Policy conflicts Known issues Using Powershell to connect to and manage Intune Software deployment Add apps to Intune Windows Store apps Microsoft Store for Business apps LOB apps - Sideloading Adding Win32 apps Running Powershell Scripts on devices Assigning Apps Monitor Apps Discovered Apps Configure Apps App Configuration Policies Office app policys Custom OMA-URI Policies Troubleshooting Managing devices Windows 10 Feature Updates Update rings to manage updates Mapping drives to SMB shares Discuss OneDrive for Business Manage Enterprise Wireless - Windows Configuration Designer, provisioning packages Implementing Conditional Access - device based, app based Printer management Universal Print Deploying printer settings Remote administration Intune Device Management Inventory Fresh Start Full Scan Remote Lock Restart Sync devices Bulk device actions Teamviewer integration requirements Intune Reporting Accessing Reports Exporting Reports using Graph

Duration 1 Days 6 CPD hours This course is intended for This course is designed for students who wish to gain a foundational understanding of PowerPoint that is necessary to create and develop engaging multimedia presentations. Overview In this course, you will create and deliver an engaging PowerPoint presentation. You will: Identify the basic features and functions of PowerPoint. Develop a PowerPoint presentation. Perform text formatting. Add and arrange graphical elements. Modify graphical elements. Prepare to deliver your presentation. How do you grab and maintain an audience's focus when you're asked to present important information? By being clear, organized, and engaging. And, that is exactly what Microsoft© PowerPoint© can help you do.Today's audiences are tech savvy, accustomed to high-impact multimedia content, and stretched for time. By learning how to use the vast array of features and functionality contained within PowerPoint, you will gain the ability to organize your content, enhance it with high-impact visuals, and deliver it with a punch. In this course, you will use PowerPoint to begin creating engaging, dynamic multimedia presentations.Note: Most Office users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will also enable you to access and effectively utilize many web-based resources provided with your Microsoft 365 subscription. This includes brief coverage of key skills for using PowerPoint for the Web and OneDrive. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version.This course may be a useful component in your preparation for the Microsoft PowerPoint (Microsoft 365 Apps and Office 2019): Exam MO-300 certification exam. Lesson 1: Getting Started with PowerPoint Topic A: Navigate the PowerPoint Environment Topic B: View and Navigate a Presentation Topic C: Create and Save a Basic Presentation Topic D: Navigate in PowerPoint for the Web Topic E: Use PowerPoint Help Lesson 2: Developing a PowerPoint Presentation Topic A: Create Presentations Topic B: Edit Text Topic C: Work with Slides Topic D: Design a Presentation Lesson 3: Formatting Text Topic A: Format Characters Topic B: Format Paragraphs Lesson 4: Adding and Arranging Graphical Elements Topic A: Insert Images Topic B: Insert Shapes Topic C: Create SmartArt Topic D: Insert Stock Media, Icons, and 3D Models Topic E: Size, Group, and Arrange Objects Lesson 5: Modifying Graphical Elements Topic A: Format Images Topic B: Format Shapes Topic C: Customize SmartArt Topic D: Format Icons Topic E: Format 3D Models Topic F: Animate Objects Lesson 6: Preparing to Deliver Your Presentation Topic A: Review Your Presentation Topic B: Apply Transitions Topic C: Print or Export a Presentation Topic D: Deliver Your Presentation Additional course details: Nexus Humans Microsoft PowerPoint for Office 365 (Desktop or Online) - Part 1 ( v1.1) 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 Microsoft PowerPoint for Office 365 (Desktop or Online) - Part 1 ( v1.1) 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 This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Recommendation Systems with Python (TTAI2360) 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 Experienced VMware administrators, automation and orchestration specialists, system integrators, and private cloud and public cloud administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the features and benefits of integrating vRealize Orchestrator and vRealize Automation Describe the role of vRealize Orchestrator workflows and content elements in automation Use the vRealize Orchestrator client to access and navigate the vRealize Orchestrator platform Use the vRealize Orchestrator client to import and run vRealize Orchestrator library workflows Design, develop, and run custom reusable vRealize Orchestrator workflows Integrate vRealize Automation with vRealize Orchestrator to deliver custom IT services Use the vRealize Automation event broker service to trigger specific vRealize Orchestrator workflows or ABX Actions Leverage the event broker to extend IaaS (Infrastructure-as-a-Service) machine lifecycle processes Use XaaS to extend vRealize Automation into other enterprise systems Use VMware APIs to run vRealize Orchestrator workflows Use the vSphere Client Code Capture feature During this five-day course, you focus on using VMware vRealize© Orchestrator? to extend the functionality of VMware vRealize© Automation?. You learn how to provide XaaS (Anything as a Service) and implement Machine Lifecycle Extensibility using the VMware vRealize© Automation? Event Broker. You also learn how to create vRealize Orchestrator workflows and vRealize Automation ABX actions. You learn about various features, including basic scripting implementation along with logic processing to implement a variety of functions to use in your environment. This course teaches implementing debugging, loops, conditions, and user interactions in vRealize Orchestrator. The course introduces the new vRealize Orchestrator HTML 5 interface, along with API calls and REST functions, to give you the groundwork to implement a variety of plugins and scripts. This course is designed to give you the tools to craft custom solutions in the product. Course Introduction Introductions and course logistics Course objectives Overview of vRealize Automation and vRealize Orchestrator Define the purpose of vRealize Automation Outline the purpose of vRealize Orchestrator Describe the main components of vRealize Automation Describe the main components of vRealize Orchestrator Creating Schema Elements Invoking JavaScript from a vRealize Orchestrator workflow Invoking a vRealize Orchestrator Workflow from a vRealize Orchestrator workflow Invoking an action from a vRealize Orchestrator workflow Using vRealize Orchestrator workflows both synchronously and asynchronously Working with Variables Defining inputs, outputs, and variables in vRealize Orchestrator workflows Binding variables in vRealize Orchestrator workflows Wrapping vRealize Orchestrator workflows Using APIs and the API Explorer Creating actions in vRealize Orchestrator Using vRealize Orchestrator input forms Handling user interactions in vRealize Orchestrator Handling Exceptions, Logging, and Debugging Handling exceptions in vRealize Orchestrator workflows Using logs in vRealize Orchestrator workflows Debugging vRealize Orchestrator workflows Branching and Looping Using branching in vRealize Orchestrator workflows Using loops in vRealize Orchestrator workflows Working with Assets Using configuration elements in vRealize Orchestrator Using resources in vRealize Orchestrator Using packages in vRealize Orchestrator Working with Plug-Ins Downloading and installing Plug-Ins Using the SSH plug-In in vRealize Orchestrator Using the REST plug-in in vRealize Orchestrator Using the vRealize Automation plug-in in vRealize Orchestrator Using the PowerShell plug-in in vRealize Orchestrator Working with Versioning and Git Using versioning in vRealize Orchestrator Using Git in vRealize Orchestrator Scheduling, Sleeping, and Waiting Using scheduling in vRealize Orchestrator Using sleeping in vRealize Orchestrator Using waiting in vRealize Orchestrator Introduction to vRealize Automation Extensibility Introduction to extensibility Using ABX actions Using Python Using Nodejs Using PowerShell Using vRealize Automation Lifecycle Extending vRealize Automation with Event Broker Overview of vRealize Automation Event Broker Creating vRealize Automation subscriptions Data exchange between vRealize Automation and vRealize Orchestrator Using ABX Actions Overview of Action Based Extensibility (ABX) Comparison of vRealize Orchestrator and ABX Creating ABX Actions scripts, REST, and flows Using Day-2 Actions in vRealize Automation Describe the visualization capabilities of NSX Network Detection and Response Working with Services, Custom Resources, and Resource Actions Using vRealize Orchestrator as a content source in vRealize Automation Creating custom resources in vRealize Automation Creating resource actions in vRealize Automation Using Day-2 Actions in vRealize Automation Using vSphere Client Code Capture Enabling vSphere Client code capture Using vSphere Client code capture to capture code in vRO, Javascript, PowerCLI or other languages. Using the captured code in vRealize Orchestrator workflows or actions.

Any successful business manager will tell you that you never get the deal you deserve - you always get the deal you negotiate! This two-day workshop includes recent research and practical techniques from the Harvard Business School Negotiation Project and provides a unique opportunity to learn and practice these skills in a safe environment using up to date materials and life-like practice negotiation case studies. This course will help participants to: Understand the basics of negotiation Develop negotiating skills Increase their business acumen Develop their communication skills Learn the models, techniques and tools for an effective negotiation Identify the barriers to agreements Close the deal 1 What is negotiation? Key skills for negotiation Types of negotiation Win-lose negotiations versus Win-win negotiations Wise agreements and Principled Negotiation 2 Four key negotiating concepts BATNA - Best alternative to negotiated agreement Setting your reservation price ZOPA - Zone of possible agreement Creating and trading value 3 Business acumen Understanding pricing, gross margins and profit Knowing the key points on which to negotiate 4 A Four Phase Model for negotiation Nine steps to successful planning Discussing a deal - creating and claiming value Making and framing proposals Bargaining for the winning deal 5 Effective communication Effective questioning Active listening skills Understanding and interpreting body language Barriers to effective communication 6 Understanding influence and persuasion Influencing strategies Ten proven ways to influence people Six universal methods of persuasion Understanding why people do business with other people 7 Negotiating tactics Tactics for win-lose negotiations Tactics for win-win negotiations Effective team negotiating Understanding and using powerv What do you do when the other side has more power? 8 Barriers to agreement Common barriers to agreement The Negotiators Dilemma Dealing with die-hard negotiators Dealing with lack of trust 9 Potential barriers to cross-border agreements Understanding business methods and practice in other cultures Figuring out who has the power and who makes decisions Recognising and dealing with cultural differences What's OK here might not be OK there 10 Closing the deal Four steps to closing the winning deal