Duration 1 Days 6 CPD hours This course is intended for Account and project managers Business liaisons Deployment engineers Managers overseeing CCE deployments Technical sales Overview After taking this course, you should be able to: Provide a high-level overview of the Cisco Contact Center portfolio List the key components within the Packaged Contact Center Enterprise (PCCE) architecture and their functions Describe how calls flow through PCCE using appropriate terms and naming conventions Introduce the tools used in the configuration, scripting, reporting and support of a PCCE deployment Identify advanced features available within the PCCE solution The Understanding Cisco Contact Center Enterprise Foundations (CCEF) v1.0 course gives you an overview of the Cisco© Packaged Contact Center Enterprise (PCCE) and Unified Contact Center Enterprise solutions. You will learn about the Cisco Contact Center Enterprise (CCE) products and explore features and functionality of the solution including major system components. Introduction to CCE Cisco Contact Center Basics Cisco Contact Center Fundamentals Functionality of PCCE Components Public Switched Telephone Network (PSTN) and Voice Gateways Cisco Unified Border Element (CUBE) Terms and Naming Conventions Used in CCE CCE Access Environment CCE Routing Configuration Access Tools Available in CCE Single Pane of Glass (SPOG) Cisco Intelligent Contact Management (ICM) Configuration Manager Discovering CCE Features Beyond Default Agent Management Agent Efficiency
Duration 1 Days 6 CPD hours This course is intended for Account and project managers Business liaisons Deployment engineers Managers overseeing CCE deployments Technical sales Overview After taking this course, you should be able to: Provide a high-level overview of the Cisco Contact Center portfolio List the key components within the Packaged Contact Center Enterprise (PCCE) architecture and their functions Describe how calls flow through PCCE using appropriate terms and naming conventions Introduce the tools used in the configuration, scripting, reporting and support of a PCCE deployment Identify advanced features available within the PCCE solution The Reporting Cisco Contact Center Enterprise (CCER) v1.0 course provides an architectural overview of the Contact Center Enterprise (CCE) Solution components and deployment models. You will learn the end-to-end reporting solutions of CCE designed to assist customers and partners in the task of creating reports and managing disparate data sources. Introduction to CCE Cisco Contact Center Basics Cisco Contact Center Fundamentals Functionality of PCCE Components Public Switched Telephone Network (PSTN) and Voice Gateways Cisco Unified Border Element (CUBE) Terms and Naming Conventions Used in CCE CCE Access Environment CCE Routing Configuration Access Tools Available in CCE Single Pane of Glass (SPOG) Cisco Intelligent Contact Management (ICM) Configuration Manager Discovering CCE Features Beyond Default Agent Management Agent Efficiency
Duration 3 Days 18 CPD hours This course is intended for Salesforce consultants and administrators Overview When you complete this course, you will be able to:Enable Field Service Lightning.Describe the capabilities and components of Field Service Lightning.Know the right questions to ask prior to implementing Field Service Lightning.Understand the steps to successfully implement Field Service Lightning In this hands-on course, you will learn about Field Service Lightning components and even have the opportunity to implement Field Service Lightning for AW Computing, our fictitious company. What is Field Service Lightning? Define Field Service Lightning Identify the challenges of field service management and how FSL can overcome those challenges Describe what connected field service looks like Explain the main components and capabilities of FSL Meet AW Computing Learn about AW Computing Understand the business reason why AW Computing has purchased FSL Plan for Field Service Lightning Learn the essential questions to ask before setting up FSL Consider FSL limitations Set Up Field Service Lightning (Long Module) Set up FSL Components and Managed Package Walk Through the FSL Process by Role View and perform FSL actions as a Service Agent View and perform FSL actions as a Dispatcher View and perform FSL actions as a Field Resource View and run FSL reports as a Supervisor / Manager
Google Ads Training: Turn Profit with PPC Course Overview This Google Ads Training course provides learners with comprehensive insights into running successful Pay-Per-Click (PPC) campaigns using Google Ads. From creating your first Google Ads account to mastering advanced strategies like remarketing and conversion tracking, this course equips you with the essential skills to optimise your campaigns and maximise profitability. With a clear focus on understanding Google Ads’ dynamic system, learners will gain the confidence to structure and refine their ads to attract the right audience, control costs, and drive measurable results. Upon completion, you will be ready to launch, optimise, and scale your own Google Ads campaigns. Course Description The course covers every aspect of Google Ads, starting from the basics, such as account creation and setting up billing, to advanced techniques, including optimising ad structure and bidding strategies. You'll learn how to identify effective keywords, write compelling ads, and use ad extensions to boost visibility. The course delves into account structure, the Google Ads auction dynamics, negative keywords, and remarketing strategies, all crucial for increasing conversion rates. You’ll also explore conversion tracking, ad optimisation, and automated tools like AdWords scripts to speed up performance enhancements. By the end, you'll be proficient in managing Google Ads campaigns that deliver high returns. Google Ads Training: Turn Profit with PPC Curriculum Module 01: Introduction to Google Ads Module 02: Creating and Setting Up Our First Google Ads Account Module 03: Structuring Your Ad Groups Like A Professional Module 04: How To Write Killer Ads in Google Ads! Module 05: Setting Up Your AdWords Billing Module 06: Keywords in Depth - The Heartbeat of Your Account Module 07: Account Structure - How To Structure Ad Groups Like A Pro Module 08: The Incredible Dynamics of the AdWords Auction Module 09: Expanding And Refining Your Campaigns Module 10: Negative Keywords - Your Greatest Ally Module 11: Making Your Ads Unstoppable With Multiple Ad Extensions Module 12: Remarketing – Your Secret Weapon To Converting Like A Boss Module 13: Keeping Track of Profits With Conversion Tracking Module 14: Profitable Bidding Strategies Module 15: Using AdWords Scripts To Enhance Performance and Increase Optimisation Speed Module 16: Conclusion ... Goodbye For Now! Module 17: Bonus Material! (See full curriculum) Who is this course for? Individuals seeking to master Google Ads for business or personal use. Professionals aiming to advance their digital marketing skills. Beginners with an interest in online advertising. Entrepreneurs looking to optimise their ad campaigns. Career Path Digital Marketing Specialist PPC Campaign Manager Google Ads Strategist E-commerce Marketing Manager Paid Media Analyst Online Advertising Consultant
Duration 3 Days 18 CPD hours This course is intended for Security Engineers, Security Administrators, Security Operations Specialists, Security Analysts, Network Engineers, and Support Staff Overview The Palo Alto Networks Firewall 11.0: Troubleshooting course is three days of instructor-led training that will help you: Investigate networking issues using firewall tools including the CLI Follow proven troubleshooting methodologies specific to individual features Analyze advanced logs to resolve various real-life scenarios Solve advanced, scenario-based challenges Palo Alto Networks next-generation firewalls are architected to safely enable applications and prevent modern threats. Their approach identifies all network traffic based on applications, users, content and devices, and lets you express your business policies in the form of easy-to-understand security rules. Flexible deployment options and native integration with their next-generation security platform extend the policy enforcement and cyberthreat prevention to everywhere your users and data are located: in your network, on your endpoints and in the cloud. Course Outline Module 1 - Tools and Resources Module 2 - CLI Primer Module 3 - Flow Logic Module 4 - Packet Captures Module 5 - Packet-Diagnostics Logs Module 6 - Host-Inbound Traffic Module 7 - Transit Traffic Module 8 - System Services Module 9 - Certificate Management and SSL Decryption Module 10 - User-ID Module 11 - GlobalProtect Module 12 - Support Escalation and RMAs Module 13 - Next Steps
Duration 4 Days 24 CPD hours This course is intended for This class is designed for enterprise architects, solution architects, and business analysts working to earn their Salesforce Application Architect credential, or for application architects looking to get more hands-on experience. Overview Design data models that scale gracefully Leverage Salesforce sharing mechanisms at an advanced level Evaluate the nuances of field types and pick the right one for the circumstances Make data model decisions that minimize record locking and other performance degradations Dive into the two cornerstone domains of being an Application Architect: Data Architecture and Management, and Sharing and Visibility. In this 4-day workshop, our Architect experts will present you with a case study scenario that will be broken down and digested through iterative exploration. Learn how to design and build secure, scalable, and high-performing solutions through a combination of lecture, demos, hands-on exercises, and workshop presentations and discussions. Application Architect Overview Assess the Requirements to Become an Application Architect Understand the Real-World Expectations of Application Architects Review the Core Characteristics of Successful Application Architects Scenario Introduction Review the Application Architecture Scenario Identify Scenario Problem Areas Identify Scenario Actors and Licensing Architecture Documentation Understand Key Architecture Documentation Requirements Learn About Best Practices for Artifact Documentation Produce Architecture Documents Data Modeling Identify Relationship Types and Their Impact on Record Access, User Interface, and Reporting Review the Considerations for Changing Field Types Review the Considerations for Modifying Data Models with Schema Builder Review the Considerations for Importing and Exporting Data Identify Use Cases of External Objects Determine an Appropriate Data Model Understand Design Implications with Complex Environments and Large Data Volumes (LDV) Data Management Review the Considerations for Working with LDV Review Data Lifecycle Concepts and Mechanisms Review Master Data Management and System of Record Concepts Review Data Migration, Planning, Preparation, and Execution Identify Potential LDV and Calculate Expected Volumes Go Further with Indexes Standard and Custom Skinny Tables Lock Records Security Model Review the Considerations for Working with Internal and External Sharing Models Restrict and Extend Object and Field Access Determine Sharing Solutions Identify Record Sharing Mechanisms (Declarative, Programmatic, Implicit) Understand Teams Concepts (Account, Opportunity, Case) Understand Person Accounts and Its Implication on Sharing Encrypt Data Sharing in Communities Understand Community Security Mechanisms Secure Integration Endpoints Integrate and Specify Connected Apps and Named Credentials Advanced Security & Visibility Concepts Implement Security & Visibility Controls with Apex and Visualforce Review Territory Management and Its Implication on Data Management, Sharing, and Visibility Review Divisions and Its Implication on Data Management, Sharing, and Visibility Understand Security and Visibility Controls on 'Special' Objects Solution Design Determine When to Leverage Standard Products Functionality vs. Custom Build vs. AppExchange Understand Declarative and Programmatic Configuration Get to Know the Order of Execution Automate Business Processes Consider Reporting and Analytics Needs Consider How to Store and Access Content/Files Apply Solution Design Concepts to Real-World Problems and Scenarios Deployment & Integration Best Practices Review the Application Lifecycle Understand How Sandboxes Should Be Used Review Deployment Options Identify Integration Patterns Wrap-up Review a Practice Scenario Review What Was Covered Additional course details: Nexus Humans Salesforce Build Application Architect Expertise (ARC901) 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 Salesforce Build Application Architect Expertise (ARC901) 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 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.
Develop the essential skills to begin your presentation journey. Course overview Duration: 1 day (6.5 hours) Overview When surveyed about their greatest fears, many people cite public speaking as their first. Also, in today’s business world staff and management are expected more and more to present to an audience of some kind. Whether it’s holding a staff meeting, speaking at a business event, training or simply motivating a team, this requires continued development of presentation knowledge and skills. This workshop offers participants the opportunity to develop the skills necessary to deliver confident, meaningful presentations that influence and inspire their audiences. Objectives By the end of the course you will be able to: Design, develop and deliver a confident presentation Control nerves during training sessions Make presentations memorable and relevant for an audience, therefore improving the opportunity for influence Deal with questions and minimise the impact of difficult situations Content Presenting with Power Why presenting with power is important How to present with power How to improve your public speaking Setting up for Successful Presentations Techniques that will help prepare effectively How to anticipate problems with presenting How to apply techniques to prepare for successful presentation Dealing with Nerves Effective preparation techniques to manage stress How performance anxiety affects you How to implement a plan to successfully deliver a presentation
SQL for Data Science, Data Analytics and Data Visualization Course Overview: This course offers a comprehensive introduction to SQL, designed for those looking to enhance their skills in data science, data analytics, and data visualisation. Learners will develop the ability to work with SQL databases, efficiently query and manage data, and apply these techniques for data analysis in both SQL Server and Azure Data Studio. By mastering SQL statements, aggregation, filtering, and advanced commands, learners will be equipped with the technical skills required to manage large datasets and extract meaningful insights. The course provides a solid foundation in data structures, user management, and working with multiple tables, culminating in the ability to perform complex data analysis and visualisation tasks. Course Description: This course covers a broad range of topics essential for anyone working with data in a professional capacity. From setting up SQL servers to mastering database management tools like SQL Server Management Studio (SSMS) and SQL Azure Data Studio, the course provides a thorough grounding in SQL. Learners will gain expertise in data structure statements, filtering data, and applying aggregate functions, as well as building complex SQL queries for data analysis. The course also includes instruction on SQL user management, group by statements, and JOINs for multi-table analysis. Key topics such as SQL constraints, views, stored procedures, and database backup and restore are also explored. The course incorporates SQL visualisation tools in Azure Data Studio, empowering learners to visualise data effectively. By the end of the course, learners will be proficient in SQL queries, data manipulation, and using Azure for data analysis. SQL for Data Science, Data Analytics and Data Visualization Curriculum: Module 01: Getting Started Module 02: SQL Server Setting Up Module 03: SQL Azure Data Studio Module 04: SQL Database Basic SSMS Module 05: SQL Statements for DATA Module 06: SQL Data Structure Statements Module 07: SQL User Management Module 08: SQL Statement Basic Module 09: Filtering Data Rows Module 10: Aggregate Functions Module 11: SQL Query Statements Module 12: SQL Group By Statement Module 13: JOINS for Multiple Table Data Analysis Module 14: SQL Constraints Module 15: Views Module 16: Advanced SQL Commands Module 17: SQL Stored Procedures Module 18: Azure Data Studio Visualisation Module 19: Azure Studio SQL for Data Analysis Module 20: Import & Export Data Module 21: Backup and Restore Database (See full curriculum) Who is this course for? Individuals seeking to enhance their data management and analysis skills. Professionals aiming to progress in data science, data analytics, or database administration. Beginners with an interest in data analysis and SQL databases. Anyone looking to gain expertise in SQL for Azure and SQL Server environments. Career Path: Data Analyst Data Scientist Database Administrator SQL Developer Business Intelligence Analyst Data Visualisation Specialist
This course will encompass seven modules. Each module has a specific focus and the title of each will outline the topics that will be covered in the course and provide you an insight into how the course will function.