17836 Courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for The ProxySG 6.6 Basic Administration course is intended for students who wish to master the fundamentals of the ProxySG. It is designed for students who have not taken any previous training courses about the ProxySG. Overview Describe the major Secure Web Gateway functions of the ProxySG.License and configure a ProxySG.Deploy a ProxySG in either explicit or transparent mode.Use the Visual Policy Manager to write policies to manage web filtering, authentication, and SSL traffic management.Use ProxySG access logs to generate reports. The ProxySG 6.6 Basic Administration course is an introduction to deployment options and management of the individual key features offered using the ProxySG 6.6 solution. Introduction to the Symantec ProxySG Secure Web Gateway Describe the functions of a proxy server Differentiate proxy servers from firewalls Describe the key features and benefits of the ProxySG List the various ProxySG models Access online Symantec community resources ProxySG Security Deployment Options Describe the three network deployment methods Describe the three possible roles of the ProxySG ProxySG Management Console Describe the relationship between the Management Console and the ProxySG CLI Describe the primary function of the major areas of the Management Console Use the Management Console to access on-box help and Symantec product documentation Traffic Interception Using Proxy Services Understand the functions of proxy services, listeners, and proxy types Describe the three most common proxy services Explain how the intercept and bypass settings affect what happens to network traffic passing through the ProxySG Explain the function of common global proxy service settings Hypertext Transfer Protocol Understand how a connection is initiated over the transport layer Identify the components of an HTTP URL Explain the two types of HTTP messages: request and response Identify common response codes Introduction to the Visual Policy Manager Describe the relationship among the VPM, CPL, and the Management Console Describe the default processing order for policy layers and rules Describe triggers and actions that can be used in writing policy Identify the types of objects that the VPM supports Describe some of the best practices to be followed when using the VPM to create policy Filtering Web Content Describe the main concepts of web filtering Describe the primary category databases Describe the category types available to policy Describe how WebFilter and WebPulse work together Using Threat Intelligence to Defend the Network Understand Intelligence Services as provided by the Global Intelligence Network Understand Geolocation and Threat Risk Levels and how they can be used in policy Ensuring Safe Downloads Describe how malware can be transmitted via HTTP Explain the methods, advantages, and disadvantages of file type detection Describe some of the considerations in deciding what content to block as possible malware sources Notifying User of Internet Usage Policies Explain the function and various components of built-in and custom exception pages Describe the function of Notify User objects Identify the types of pages that can be sent to users by using Notify User objects Describe splash pages and coaching pages using Notify User objects in the VPM Access Logging on the ProxySG Describe, at a high level, how the ProxySG performs access logging Describe the components of a ProxySG access log facility Identify default log facilities and log formats Describe common use cases for periodic and continuous uploading of access logs

Duration 2 Days 12 CPD hours This course is intended for This class is designed for experienced Salesforce Administrators who are responsible for setting up, configuring, and managing Service Cloud. Prior to taking this class, you should have a solid understanding of Salesforce functionality and concepts, at least 6 months of experience using Salesforce, and the Salesforce Administrator credential or equivalent knowledge. Overview Set up the case management process automating the support process with queues, assignment/escalation rules, and Process Builder. Configure Salesforce knowledge to help you manage the creation, publication, and maintenance of knowledge articles. Enable entitlements to set up service contracts. Set up the Salesforce Service Console app to help your support reps work more efficiently. Understand the capabilities of the Softphone Utility in the Lightning Console. Configure online chat with customers using Web Chats. Understand and set up communities. Leverage Service Cloud to scale your support efforts and improve customer service. In this 2-day class, Service Cloud experts will walk you through how to configure and maintain Service Cloud for your organization. Learn how to set up service contracts with milestones and entitlements, set up the Service Console application, add the Softphone Utility to your Lightning Console, and set up Web Chats to provide frictionless customer support. Learn how to configure a Customer Community so you can connect customers to knowledge articles and community members to find answers instantly. Case Escalations and Entitlements Create processes to streamline a support team?s workflow and case management. Customize fields, page layouts, and record types for different kinds of support cases. Define picklist values for each new record type. Create case assignment rules, queues, and escalation rules to push cases to the appropriate support team at the appropriate time. Create and manage entitlements to customize the level of support for each customer. Salesforce Knowledge Enable Lightning Knowledge and assign appropriate user licenses. Customize page layouts and record types to support knowledge article management. Customize access to, permissions for, and visibility of knowledge tools and processes. Create and manage articles to ensure quality of information. Manage and close cases more efficiently using knowledge articles. Lightning Service Console Create your own Service Console app. Customize the Lightning Console pages. Add Utilities to your console. Enable and utilize Chat (formerly Live Agent). Optimize the use of Omni-Channel. Salesforce Self-Service Communities Enable communities in your Salesforce org. Create a permission set for effective administration of communities. Customize the look and layout of the community. Add the Reputation component to the community. Additional course details: Nexus Humans Salesforce Administer and Maintain Service Cloud (ADX261) 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 Administer and Maintain Service Cloud (ADX261) 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 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 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Duration 3 Days 18 CPD hours This course is intended for This course is designed for any individual who might need to perform project management activities in their job role on either a formal or informal basis, or any individual who wants to build upon their current project management knowledge to be more productively involved on a project team. This course is not specifically designed for students who are seeking project management-related certification. Rather, it is designed to introduce a structure to help students more effectively manage projects as well as participate fully on a project team. Overview In this course, you will apply recognized practices of project management to manage a project from start to finish. You will: - Identify the basic concepts of project management. - Launch a project. - Estimate project work. - Create a project schedule. - Plan project costs. - Plan for project risks. - Plan for project quality and compliance. - Manage human and physical resources for the project. - Manage project procurements. - Plan for change management and monitor the project scope. - Monitor and optimize project schedule and cost. - Monitor the quality of the project work and the risks involved. - Plan communication strategies and manage stakeholder relationships. - Close a project. If you are taking this course, you probably have some exposure to managing projects, or you may be considering embarking on a career as a professional project manager. Your ability as a project manager to demonstrate best practices in project management on the job is becoming the standard to compete in today's fast-paced and highly technical workplace. In this course, you will apply the generally recognized practices of project management to successfully manage projects. Project managers are always under severe pressure to complete projects on time and within budget. However, most projects fail to meet these demands, and, as a result, many projects are terminated early. Successful project management requires knowledge and experience. This course is designed to provide you with the skills needed to be a successful project manager in today's rapidly changing world. The skills and knowledge you gain in this course will help you avoid making costly mistakes and increase your competitive edge in the project management profession. Getting Started with Project Management Define Project Management Basics Identify Influencing Factors Define Project Management Certifications Launching Projects How Organizations Choose the Right Project Identify Project Stakeholders and Their Expectations Authorize a Project Identify the Project Scope Estimating Project Work Develop a WBS Identify the Relationships Between Work Packages Identify Resources Estimate Time Creating a Project Schedule Develop a Project Schedule Create a Schedule Baseline Planning Project Costs Establish Project Costs Establish the Cost Baseline Reconcile Funding and Costs Planning for Risk Create a Risk Management Plan Identify Risks and Their Causes Analyze Risks Develop a Risk Response Plan Planning for Quality and Compliance Deliver the Desired Project Results Verify Compliance Requirements Managing the Project Team Plan Your Project Team Assemble the Team Develop the Team Manage the Team Managing Project Procurements Plan for Project Procurements Obtain Responses from Vendors Select the Right Vendor Manage Vendors and Procurements Managing Change During Project Execution Prepare for Project Execution Manage Project Changes Monitor the Project Scope Monitoring and Controlling Project Schedule and Cost Monitor and Control the Project Schedule Optimize the Project Schedule Monitor and Control Project Cost Monitoring and Controlling Risk and Quality Monitor and Control Risks Put Quality Plans into Action Control Project Quality Communicating and Reporting Communicate During a Project Distribute Project Information Manage Stakeholder Relationships and Expectations Report on Project Performance Closing the Project Deliver the Final Product Close Project Procurements Close the Project

Duration 5 Days 30 CPD hours This course is intended for This course is intended for administrators in a Microsoft-centric environment who want to build reusable units of automation, automate business processes, and enable less-technical colleagues to accomplish administrative tasks. Overview Describe the correct patterns for building modularized tools in Windows PowerShell Build highly modularized functions that comply with native PowerShell patterns Build controller scripts that expose user interfaces and automate business processes Manage data in a variety of formats Write automated tests for tools Debug tools This course covers advanced Windows PowerShell topics, with an emphasis on building reusable tools. Students are introduced to workflow, engage in best practices, and learn a variety of script development and toolmaking techniques. Tool Design Tools do one thing Tools are flexible Tools look native Start with a Command Why start with a command? Discovery and experimentation Build a Basic Function and Module Start with a basic function Create a script module Check prerequisites Run the new command Adding CmdletBinding and Parameterizing About CmdletBinding and common parameters Accepting pipeline input Mandatory-ness Parameter validation Parmeter aliases Emitting Objects as Output Assembling information Constructing and emitting output Quick tests An Interlude: Changing Your Approach Examining a script Critiquing a script Revising the script Using Verbose, Warning, and Informational Output Knowing the six channels Adding verbose and warning output Doing more with verbose output Informational output Comment-Based Help Where to put your help Getting started Going further with comment-based help Broken help Handling Errors Understanding errors and exceptions Bad handling Two reasons for exception handling Handling exceptions in our tool Capturing the actual exception Handling exceptions for non-commands Going further with exception handling Deprecated exception handling Basic Debugging Two kinds of bugs The ultimate goal of debugging Developing assumptions Write-Debug Set-PSBreakpoint The PowerShell ISE Going Deeper with Parameters Parameter positions Validation Multiple parameter sets Value from remaining arguments Help messages Aliases More CmdletBinding Writing Full Help External help Using PlatyPs Supporting online help ?About? topics Making your help updatable Unit Testing Your Code Sketching out the test Making something to test Expanding the test Going further with Pester Extending Output Types Understanding types The Extensible Type System Extending an object Using Update-TypeData Analyzing Your Script Performing a basic analysis Analyzing the analysis Publishing Your Tools Begin with a manifest Publishing to PowerShell Gallery Publishing to private repositories Basic Controllers: Automation Scripts and Menus Building a menu Using UIChoice Writing a process controller Proxy Functions A proxy example Creating the proxy base Modifying the proxy Adding or removing parameters Working with XML Data Simple: CliXML Importing native XML ConvertTo-XML Creating native XML from scratch Working with JSON Data Converting to JSON Converting from JSON Working with SQL Server Data SQL Server terminology and facts Connecting to the server and database Writing a query Running a query Invoke-SqlCmd Thinking about tool design patterns Design tools that use SQL Server for data storage Final Exam Lab problem Break down the problem Do the design Test the commands Code the tool

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

Duration 5 Days 30 CPD hours This course is intended for This basic course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of the fundamentals of coding and basics of Java and object-oriented programming concepts. Attendees might include: Technically-minded attendees who want or who want to begin the process of becoming an OO application developer Technical team members from non-development roles, re-skilling to move into software and application development roles within an organization Recent college graduates looking to apply their college experience to programming skills in a professional environment, or perhaps needing to learn the best practices and standards for programming within their new organization Technical managers tasked with overseeing programming teams, or development projects, where basic coding knowledge and exposure will be useful in project oversight or communications needs Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in basic coding with Java, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn: The steps involved in the creation and deployment of a computer program What OO programming is and what the advantages of OO are in today's world To work with objects, classes, and OO implementations The basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction The basic constructs that all programming languages share The basic Java constructs supporting processing as well as the OO orientation How to use Java exception handling About and how to use classes, inheritance and polymorphism About use collections, generics, autoboxing, and enumerations How to take advantage of the Java tooling that is available with the programming environment being used in the class Getting Started with Programming, OO and Java Basics for Non-Developers is a skills-focused, hands-on coding course that teaches students the fundamentals of programming object oriented (OO) applications with Java to a basic level, using sound coding skills and best practices for OO development. This course is presented in a way that enables interested students to embrace the fundamentals of coding as well as an introduction to Java, in a gentle paced environment that focuses on coding basics.Students are introduced to the application development cycle, structure of programs, and specific language syntax. The course introduces important algorithmic constructs, string and character manipulation, dynamic memory allocation, standard I/O, and fundamental object-oriented programming concepts. The course explains the use of inheritance and polymorphism early on so the students can practice extensively in the hands-on labs. Structured programming techniques and error handling are emphasized. The course includes the processing of command line arguments and environment variables, so students will be able to write flexible, user-friendly programs. Students will leave this course armed with the required skills to begin their journey as a Java programmer using modern coding skills and technologies. Introduction to Computer Programming Introduction to Programming Programming Tools Programming Fundamentals Thinking About Objects Program Basics Programming Constructs Java: A First Look The Java Platform Using the JDK The Eclipse Paradigm Writing a Simple Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Getting Started with Java Adding Methods to the Class Language Statements Using Strings Specializing in a Subclass Essential Java Programming Fields and Variables Using Arrays Java Packages and Visibility Advanced Java Programming Inheritance and Polymorphism Interfaces and Abstract Classes Exceptions Java Developer's Toolbox Utility Classes Enumerations and Static Imports Formatting Strings Collections and Generics Introduction to Generics Collections

Duration 1 Days 6 CPD hours This course is intended for This course is designed for individuals who may need to present information effectively in a professional environment. Overview Define what makes a presentation effective. Plan presentations. Design a presentation framework. Develop the presentation body. Create supporting materials. Prepare for your presentation. Deliver presentations. Conduct a question-and-answer session. Deliver group presentations and virtual presentations. The ability to deliver presentations is vital to achieving advancement for yourself and for your ideas. Few skills in life will contribute to your success as much as presentation skills. Without a dynamic and coherent presentation, even stellar ideas can fail to convince your audience. In this course, you will learn to organize your ideas to create coherent and convincing oral presentations, while also utilizing available visual aids and using public-speaking techniques to strengthen your delivery. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. Prerequisites To ensure your success, you will need to have experience writing in a professional context and creating presentations using Microsoft Office PowerPoint. 1. Defining Presentation Effectiveness Identify Qualities of Effective Presentations Evaluate Yourself as a Presenter 2. Planning Presentations Analyze the Audience Establish Your Presentation\'s Objectives 3. Designing the Presentation Create the Presentation Structure Organize the Presentation Body Write the Conclusion First Write the Introduction 4. Developing the Presentation Body Select Evidence Write the Presentation Body Create Visuals 5. Creating Supporting Materials Create a Slide Deck Create Speaker Aids Create Audience Handouts 6. Preparing for Your Presentation Rehearse the Presentation Plan Event Logistics 7. Delivering Presentations Connect with Your Audience Present Powerfully Utilize a Slide Deck Effectively 8. Conducting a Question-and-Answer Session Answer Questions Handle Challenging Questions 9. Presenting in Common Business Scenarios Plan and Deliver a Virtual Presentation Plan and Deliver Group Presentations 10. Key Course Information This course focuses on the skills necessary to prepare and deliver an effective presentation; that being said, the learner will not be creating, delivering, or designing a specific presentation from start to finish in this course (this course only provides the foundational knowledge for doing this work back at the office). This course consists of instructor lecture along with course activities corresponding with the main course objectives. In terms of the course activities, 50% will be discussion based - 25% will be in a group-work format - and 25% will be hands-on/involve a digital tool, such as a PowerPoint or Word file. The intent is for students leaving this course to take the skills learned and apply them to their efforts of creating more effective presentations upon returning to the workplace. Additional course details: Nexus Humans Effective Presentations (Second Edition) 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 Effective Presentations (Second Edition) 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:Cloud professionals interested in taking the Data Engineer certification exam.Data engineering professionals interested in taking the Data Engineer certification exam. Overview This course teaches participants the following skills: Position the Professional Data Engineer Certification Provide information, tips, and advice on taking the exam Review the sample case studies Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate Connect candidates to appropriate target learning This course will help prospective candidates plan their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, to help them devise a preparation strategy. Rehearse useful skills including exam question reasoning and case comprehension. Tips and review of topics from the Data Engineering curriculum. Understanding the Professional Data Engineer Certification Position the Professional Data Engineer certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Data Engineer and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies for the Professional Data Engineer Exam Flowlogistic MJTelco Designing and Building (Review and preparation tips) Designing data processing systems Designing flexible data representations Designing data pipelines Designing data processing infrastructure Build and maintain data structures and databases Building and maintaining flexible data representations Building and maintaining pipelines Building and maintaining processing infrastructure Analyzing and Modeling (Review and preparation tips) Analyze data and enable machine learning Analyzing data Machine learning Machine learning model deployment Model business processes for analysis and optimization Mapping business requirements to data representations Optimizing data representations, data infrastructure performance and cost Reliability, Policy, and Security (Review and preparation tips) Design for reliability Performing quality control Assessing, troubleshooting, and improving data representation and data processing infrastructure Recovering data Visualize data and advocate policy Building (or selecting) data visualization and reporting tools Advocating policies and publishing data and reports Design for security and compliance Designing secure data infrastructure and processes Designing for legal compliance Resources and next steps Resources for learning more about designing data processing systems, data structures, and databases Resources for learning more about data analysis, machine learning, business process analysis, and optimization Resources for learning more about data visualization and policy Resources for learning more about reliability design Resources for learning more about business process analysis and optimization Resources for learning more about reliability, policies, security, and compliance Additional course details: Nexus Humans Preparing for the Professional Data Engineer Examination 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 Preparing for the Professional Data Engineer Examination 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.