49014 Courses

Duration 1 Days 6 CPD hours This course is intended for This course is intended for individuals who desire to become more skilled at handling difficult customers. Overview Upon successful completion of this course, students will be able to deal with difficult customers in a way that increases productivity and customer service, and decreases unhappy customers. In this course, students will gain a valuable skill set to deal with difficult customers in various situations. 1 - GETTING STARTED Housekeeping Items Pre-Assignment Review Workshop Objectives The Parking Lot Action Plan 2 - THE RIGHT ATTITUDE STARTS WITH YOU Be Grateful Keep Your Body Healthy Focus on Positive Thoughts Invoke Inner Peace Case Study 3 - INTERNAL STRESS MANAGEMENT Irritability Unhappiness with Your Job Feeling Underappreciated Not Well-Rested Case Study 4 - EXTERNAL STRESS MANAGEMENT Office Furniture Not Ergonomically Sound High Noise Volume in the Office Rift with Co-Workers Demanding Supervisor Case Study 5 - TRANSACTIONAL ANALYSIS What is Transactional Analysis? Parent Adult Child Case Study 6 - WHY ARE SOME CUSTOMERS DIFFICULT? They Have Truly Had a Bad Experience and Want to Vent They Have Truly Had a Bad Experience and Want Someone to be Held Accountable They Have Truly Had a Bad Experience and Want Resolution They Are Generally Unhappy Case Study 7 - DEALING WITH THE CUSTOMER OVER THE PHONE Listen to the Customer?s Complaint Build Rapport Do Not Respond with Negative Words or Emotion Offer a Verbal Solution to Customer Case Study 8 - DEALING WITH THE CUSTOMER IN PERSON Listen to the Customer?s Complaint Build Rapport Responding with Positive Words and Body Language Besides Words, What to Look For? Case Study 9 - SENSITIVITY IN DEALING WITH CUSTOMERS Who are Angry Who Are Rude With Different Cultural Values Who Cannot Be Satisfied Case Study 10 - SCENARIOS OF DEALING WITH A DIFFICULT CUSTOMER Angry Customer Rude Customer Culturally Diverse Customer Impossible to Please Customer Case Study 11 - CUSTOMER ONCE YOU HAVE ADDRESSED THEIR COMPLAINT Call the Customer Send the Customer an Email Mail the Customer a Small Token Handwritten or Typed Letter Case Study 12 - WRAPPING UP Words From The Wise Review Of The Parking Lot Lessons Learned Recommended Reading Completion Of Action Plans And Evaluations

Introduction Making a great first impression can be a game-changer, and your self-introduction plays a crucial role in this. It’s not just about stating who you are but presenting yourself in a way that captures attention and fosters connections. Whether you're stepping into a job interview or mingling at a party, a well-structured self-introduction can make all the difference. Understanding Your Audience Identifying Your Audience Before you craft your introduction, it's essential to understand who you're speaking to. Are you addressing colleagues in a corporate setting, potential clients, or new acquaintances at a social event? Knowing your audience helps tailor your message to their interests and expectations. Tailoring Your Message to the Audience Different audiences require different approaches. For a professional audience, focus on your career achievements and skills. For a social setting, you might emphasize hobbies or personal interests. Adapting your message ensures relevance and keeps your audience engaged. Crafting Your Introduction Key Elements of a Self-Introduction A solid introduction typically includes: Name and Current Role: Start with who you are and what you do. This sets the context for your audience. Relevant Background Information: Share a bit about your background that adds value to the conversation. Unique Selling Points: Highlight what makes you unique or what you bring to the table. Structuring Your Introduction for Clarity Organize your introduction in a logical flow. Start with your name, move on to your current role, share relevant background information, and end with your unique selling points. This structure ensures your introduction is clear and impactful. The Power of a Strong Opening Creating a Memorable Hook Capture your audience's attention right from the start. Use a compelling hook, such as an intriguing fact about yourself, a brief anecdote, or a relevant quote. A strong opening piques curiosity and draws your audience in. Using Anecdotes or Quotes Incorporating a brief story or a quote can make your introduction more engaging and memorable. Choose anecdotes that reflect your personality or achievements, and quotes that resonate with your message. Building Your Narrative Crafting a Compelling Story People connect with stories. Weave a narrative around your experiences, challenges, and successes. This approach makes your introduction more relatable and interesting. Highlighting Achievements and Experiences Focus on significant achievements and experiences that align with the context of your introduction. This helps establish credibility and shows what you bring to the table. Keeping It Concise Importance of Brevity While it’s tempting to share every detail, brevity is key. Aim for a concise introduction that covers the essentials without overwhelming your audience. A brief, well-crafted introduction is often more effective than a lengthy one. Techniques for Staying on Point To stay on point, practice your introduction and focus on the most relevant information. Avoid tangents and ensure every part of your introduction adds value. Engaging with Your Audience Asking Questions Engage your audience by asking questions or inviting them to share their thoughts. This interaction not only makes your introduction more engaging but also fosters a two-way conversation. Inviting Interaction Encourage dialogue by showing interest in your audience’s responses or reactions. This approach helps build connections and makes your introduction more dynamic. Non-Verbal Communication Body Language Tips Non-verbal cues play a significant role in communication. Maintain good posture, use open gestures, and avoid crossing your arms. Your body language should complement your verbal introduction. The Role of Eye Contact Maintaining eye contact shows confidence and helps build trust with your audience. It demonstrates engagement and sincerity in your introduction. Tailoring Your Introduction for Different Settings Professional Settings In professional settings, focus on your career achievements, skills, and professional interests. Be formal and concise, and ensure your introduction aligns with the context of the meeting or event. Social Gatherings For social gatherings, highlight personal interests, hobbies, or interesting facts about yourself. This helps create a friendly atmosphere and fosters personal connections. Virtual Introductions In virtual settings, ensure your introduction is clear and engaging despite the lack of physical presence. Use visual aids if possible, and maintain a positive and professional tone. Practicing Your Delivery Rehearsing Your Introduction Practice your introduction to build confidence and ensure smooth delivery. Rehearse in front of a mirror or with friends to refine your approach and timing. Adapting to Feedback Be open to feedback and adjust your introduction based on what resonates best with your audience. Continuous improvement helps keep your introduction fresh and effective. Common Mistakes to Avoid Overloading with Information Avoid overwhelming your audience with too much information. Focus on key points and keep your introduction relevant to the context. Being Too Vague or Generic Generic introductions can be forgettable. Be specific and highlight unique aspects of your background or achievements to stand out. Using Visual Aids Enhancing Your Introduction with Slides or Props In some settings, visual aids can enhance your introduction. Use slides or props to highlight key points or add visual interest. Ensure they support your message without overshadowing it. When and How to Use Visual Aids Effectively Only use visual aids when they add value to your introduction. Keep them simple and relevant, and practice using them smoothly in your delivery. The Role of Confidence Building Self-Confidence Confidence can be built through practice and preparation. Know your material, rehearse regularly, and adopt a positive mindset to boost your confidence. Projecting Confidence Through Speech Your tone, pace, and clarity of speech reflect your confidence. Speak clearly, at a steady pace, and with enthusiasm to convey confidence effectively. Feedback and Improvement Seeking Constructive Feedback Request feedback from trusted friends or colleagues to gain insights into how your introduction is received. Use this feedback to make improvements. Continuously Refining Your Introduction Refine your introduction based on feedback and personal experiences. Regular updates ensure your introduction remains relevant and impactful. Conclusion Crafting a powerful self-introduction is both an art and a skill. By understanding your audience, structuring your message clearly, and practicing your delivery, you can make a memorable first impression. Remember to tailor your introduction for different settings, engage with your audience, and continually refine your approach. With these strategies, you'll be well-equipped to introduce yourself effectively in any situation. FAQs 1. What should be included in a professional self-introduction? Include your name, current role, key achievements, and relevant skills. Tailor it to the context of the professional setting. 2. How long should my self-introduction be? Aim for 30-60 seconds. It should be concise yet comprehensive enough to convey your key points. 3. How can I make my introduction more engaging? Use a memorable hook, incorporate personal anecdotes, and engage your audience with questions or interactive elements. 4. What are common mistakes to avoid in a self-introduction? Avoid being too vague, overloading with information, or appearing uninterested. Focus on relevance and clarity. 5. How can I improve my self-introduction over time? Seek feedback, practice regularly, and refine your introduction based on experiences and audience reactions.

Duration 1 Days 6 CPD hours This course is intended for Leaders, Managers, Individuals who lead meetings This course is designed to help leaders run effective virtual meetings as well as managing their team virtually. We will explore communication styles and understanding their team as well as productivity. This course involves a lot of open discussion as well as teaching leaders how to manage the virtual workplace and run productive meetings. Defining the Virtual Workplace What does it look like? Tools available Communication strategies Understanding communication styles Leading different communication styles Building a Virtual Workplace Strategy Goals & agenda Check-ins Communication strategies Virtual Leadership Strategies Making connections & check ins Managing virtual meetings with team members Defining availability & creating schedules Open Discussion & Action Plan

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Discover how to conquer your assignment deadlines with ease. Packed with valuable tips and strategies, this article explores the importance of effective deadline management for busy students. Learn how to prioritise tasks, plan your schedule wisely, and utilise assignment help services to achieve academic success.

Duration 1.75 Days 10.5 CPD hours This course is intended for The course is aimed at experienced project managers, business management and specialists in both private and public companies. A good understanding of the basic mechanisms in organisations and markets is required. Overview Knowledge of the 4 dimensions needed for efficient business transformation and digital transformation: Platform, Planning, People and Processes Be able to look at your own organisation in an outside-in perspective Insight into the journey from a precise project scope to the project's components of work packages and to the following organisational implementation Ability to define precise digital service processes Understanding of business and organisational dynamics Tools to break down a defined business algorithm to specific specifications for an IT project Transformation Framework integrates well known management theory with common project management methods. Provides access to a unique and coherent toolbox and IT workbench, which includes the ability to transform digital strategies. The Structure Of 4Dimensions Framework The Digital Ecosystem Organisational setup Structure of the Business Platform Understanding of the course goal The 4D Framework Platform Dimension Plan Dimension People Dimension Working with the framework Views Approaches Wrap up of the day How To Work With 4Dimensions Framework Wrap up of day 1 Toolbox Change sheets Agile Transformation Plan Case work How to use the transformation tool 4dimensions.info How to succeed with the transformation Transformation roles How to get started

In this comprehensive blog post, we explore Driscoll's model of reflection, a powerful tool for enhancing personal and professional development. Learn about the three simple yet profound questions at the heart of the model, its benefits, and why Driscoll's model of reflection is good for anyone looking to improve their reflective practice.

Course Overview Naresh IT's DevOps Online Training is a comprehensive program that explores the multifaceted realm of DevOps. Covering essential components, from foundational concepts to advanced tools and methodologies, this course delves into industry-best practices. DevOps is an innovative approach that combines software development (Dev) and IT operations (Ops) to promote collaboration, enhance efficiency, and boost productivity throughout the software development lifecycle. Participants can learn through live classes, either with or without videos, tailored to their preferences. Description This course provides in-depth training on DevOps principles, practices, and tools used in modern software environments. Topics include version control, continuous integration, continuous delivery, automation, infrastructure as code, and monitoring. Hands-on experience with tools like Git, Jenkins, Docker, Kubernetes, Ansible, and Terraform ensures a practical understanding of DevOps concepts. Course Objectives Understand the fundamental concepts and principles of DevOps. Learn about various DevOps tools and their usage in development and deployment. Gain proficiency in implementing continuous integration and continuous delivery pipelines. Master automation techniques for infrastructure provisioning, configuration management, and deployment. Acquire skills in containerization and orchestration using Docker and Kubernetes. Develop the ability to monitor, measure, and improve DevOps processes and systems. Prepare for industry-recognized DevOps certifications to enhance career prospects. Prerequisites Basic understanding of the software development lifecycle (SDLC). Familiarity with version control systems (e.g., Git). Knowledge of CI/CD concepts. Understanding of containerization technologies (e.g., Docker). Awareness of cloud computing platforms (e.g., AWS, Azure). Experience with the command line interface (CLI). Who can learn this course This course is suitable for: Software developers System administrators Operations engineers Quality assurance professionals IT managers Anyone interested in adopting DevOps practices for improved software delivery and IT operations efficiency. No prior experience with DevOps is required, although a basic understanding of software development and IT concepts is beneficial.

Duration 2 Days 12 CPD hours This course is intended for This course is for IT network or security professionals who have practical experience with the ProxySG in the field and wish to master the advanced network security of the ProxySG. Overview Solve common authentication and SSL issuesUnderstand the underlying architecture of SGOSMonitor and analyze ProxySG performanceUse policy tracing as a troubleshooting tool The ProxySG 6.6 Advanced Administration course is intended for IT professionals who wish to learn to master the advanced features of the ProxySG. Using Authentication Realms Describe the benefits of enabling authentication on the ProxySG Describe, at a high level, the ProxySG authentication architecture Understand the use of IWA realms, with both IWA Direct and IWA BCAAA connection methods Understanding Authentication Credentials Describe how NTLM and Kerberos authentication work in both IWA direct and IWA BCAAA deployments Configure the ProxySG to use Kerberos authentication Understanding Authentication Modes Describe authentication surrogates and authentication modes Describe ProxySG authentication in both explicit and transparent deployment mode Understanding HTTPS Describe key components of SSL encryption Describe how the SSL handshake works Describe some of the legal and security considerations related to use of the SSL proxy Managing SSL Traffic on the ProxySG Describe how the SSL proxy service handles SSL traffic Describe the standard keyrings that are installed by default on the ProxySG Identify the types of security certificates that the ProxySG uses Optimizing SSL Interception Performance Configure the ProxySG to process SSL traffic according to best practices for performance SGOS Architecture Identify key components of SGOS Explain the interaction among client workers and software workers in processing client requests Explain the significance of policy checkpoints Describe key characteristics of the SGOS storage subsystem Explain the caching behavior of the ProxySG Caching Architecture Describe the benefits of object caching on the ProxySG Explain the caching-related steps in a ProxySG transaction Identify and describe the HTTP request and response headers related to caching Describe, in general terms, how the ProxySG validates cached objects to ensure freshness Explain how the ProxySG uses cost-based deletion, popularity contests, and pipelining to improve object caching System Diagnostics Describe the use of the health monitor and health checks Explain the use of the event and access logs Describe the information available in advanced URLs and sysinfo files Describe the function of policy tracing and packet captures Introduction to Content Policy Language (CPL) Describe the fundamental concepts and purposes of ProxySG policy transactions Understand the relationship of layers, rules, conditions, properties, and triggers Describe the two types of actions in CPL Describe how to write, edit, and upload CPL code Using Policy Tracing for Troubleshooting Identify the two main types of ProxySG policy traces Describe the various sections of a policy trace result Configure a global and policy-driven trace Access and interpret policy trace results ProxySG Integration Identify other Symantec products that can be used as part of a complete security solution