1175 Courses delivered Live Online

Master Yourself in Talking with Strangers Course Overview This course, Master Yourself in Talking with Strangers, is designed to empower learners with essential communication skills to confidently initiate and sustain conversations with unfamiliar people. It explores effective techniques to overcome social anxiety, build rapport quickly, and engage meaningfully in diverse social settings. Through structured guidance, learners will develop greater self-awareness and adaptability in interactions, enhancing their personal and professional relationships. By the end of the course, participants will be equipped with the tools to initiate conversations naturally, listen actively, and respond with confidence, making social interactions more rewarding and less daunting. Course Description Master Yourself in Talking with Strangers offers an in-depth exploration of the skills necessary to communicate effectively with new acquaintances. Topics include understanding body language, mastering conversation openers, managing nervousness, and cultivating empathy. Learners will engage with practical strategies for navigating different social contexts and recognising cues that facilitate connection. This course provides a supportive learning environment aimed at increasing social confidence and emotional intelligence. By completing this programme, participants will enhance their interpersonal skills, enabling smoother introductions, more engaging dialogues, and the ability to foster new relationships in both personal and professional spheres. Master Yourself in Talking with Strangers Curriculum Module 01: Course Overview Module 02: The Formula Module 03: Summary Module 04: End (See full curriculum) Who Is This Course For? Individuals seeking to improve their confidence in social interactions. Professionals aiming to enhance networking and communication skills. Beginners with an interest in developing interpersonal abilities. Anyone looking to overcome social anxiety and connect more easily with others. Career Path Customer Service Representative Sales and Marketing Executive Networking and Business Development Specialist Public Relations Officer Community Engagement Coordinator

Refactor Javascript Course Overview This Refactor JavaScript course provides learners with essential techniques to improve and optimise their existing JavaScript code. Focusing on enhancing code readability, maintainability, and performance, the course guides learners through identifying common code issues and applying structured improvements. By mastering refactoring principles, participants will be able to transform complex, inefficient scripts into clean, modular, and scalable solutions. The course is designed to boost problem-solving abilities and coding discipline, preparing learners to write more efficient and professional JavaScript. This knowledge is vital for developers aiming to improve legacy codebases or enhance collaboration within development teams. Course Description This course covers core refactoring concepts specific to JavaScript, starting with recognising problematic code patterns known as code smells. Learners will explore techniques for refining code elements such as functions, variables, and classes, followed by strategies to reorganise overall code structure for improved clarity and performance. The content emphasises systematic approaches to restructuring code without changing its external behaviour, helping participants understand best practices and coding standards. Through detailed explanations and examples, learners will gain confidence in evaluating and improving existing JavaScript projects. The course aims to develop skills crucial for maintaining high-quality software and supporting ongoing development in dynamic environments. Refactor Javascript Curriculum: Module 01: Introduction Module 02: Code Smells Module 03: Code Elements Refactoring Module 04: Code Structure Refactoring Module 05: Conclusion (See full curriculum) Who is this course for? Individuals seeking to enhance their JavaScript coding quality. Professionals aiming to advance their software development skills. Beginners with an interest in JavaScript programming and software design. Developers involved in maintaining or improving existing codebases. Career Path Front-End Developer Full-Stack Developer Software Engineer JavaScript Developer Web Application Developer

Montessori Education for Early Childhood Course Overview The Montessori Education for Early Childhood course provides an in-depth exploration of the Montessori philosophy and its application to early childhood education. This course covers key principles, activities, and teaching strategies designed to foster independent learning in young children. Learners will gain a comprehensive understanding of how to implement Montessori techniques in both classroom and home environments, empowering children to take initiative in their learning. The course is ideal for those looking to develop a well-rounded understanding of Montessori education and its practical value in nurturing the intellectual and emotional growth of children. Course Description This course delves into the core principles of Montessori education, covering everything from the basics of Montessori teaching to specific tools and activities. Learners will explore how to create an effective Montessori learning environment, design educational materials like Montessori mobiles, and teach children about emotions and mathematics. Emphasis is placed on the creation of Montessori-friendly spaces at home and in educational settings. By the end of the course, participants will acquire the skills to implement Montessori methods that encourage self-discovery, problem-solving, and emotional development in children, setting the foundation for lifelong learning. Montessori Education for Early Childhood Curriculum Module 01: Introduction Module 02: Basic Principles Module 03: Montessori Mobiles Module 04: Montessori Activities Module 05: Designing Montessori Home Module 06: Setting Rules in the Montessori Approach Module 07: Teaching Children About Emotions Module 08: Mathematics Montessori Module 09: Montessori Screen (See full curriculum) Who is this course for? Individuals seeking to understand Montessori education for early childhood. Professionals aiming to enhance their skills in early years teaching. Beginners with an interest in Montessori principles and methods. Parents or caregivers interested in implementing Montessori techniques at home. Career Path Montessori Teacher Early Childhood Educator Montessori School Administrator Child Development Specialist Educational Consultant Parenting Coach

Monkeypox Awareness Course Overview: This course provides essential information on Monkeypox, focusing on its identification, symptoms, diagnosis, and the necessary workplace safety protocols. Learners will gain an understanding of the disease, its implications, and the measures needed to prevent and manage it in various environments. The course is designed to ensure learners are equipped with the knowledge to identify the symptoms of Monkeypox, diagnose it effectively, and understand how to maintain a safe work environment. By the end of the course, learners will have a comprehensive grasp of Monkeypox and be prepared to implement safety practices in their workplace. Course Description: This course offers an in-depth exploration of Monkeypox, starting with an overview of the disease itself, including its origins, transmission methods, and key symptoms. Detailed information on diagnosis follows, helping learners understand how to recognise and identify the disease in various settings. The course also covers workplace safety, providing guidance on how to reduce the risk of transmission and maintain a healthy environment for all. Learners will be equipped with the knowledge to assess risks, manage cases, and take appropriate actions to ensure safety. This course is suitable for anyone looking to enhance their understanding of Monkeypox and improve their workplace health strategies. Monkeypox Awareness Curriculum: Module 01: What is Monkeypox Module 02: Symptoms and Diagnosis Module 03: Workplace Safety (See full curriculum) Who is this course for? Individuals seeking to understand and manage Monkeypox. Professionals aiming to enhance their knowledge of disease prevention in the workplace. Beginners with an interest in public health or disease management. Anyone working in environments where health and safety are a concern. Career Path: Public Health Advisor Healthcare Worker Health and Safety Officer Disease Prevention Specialist Workplace Safety Manager

The main subject areas of the course are: health effects of exposure to asbestos fibres types of asbestos and uses of asbestos in buildings types of asbestos surveys conducting safe and effective asbestos surveys bulk sampling risk assessing and managing asbestos-containing materials personal protection and decontamination

Duration 2 Days 12 CPD hours This course is intended for This course is ideal for beginners and intermediate frontend developers who want to become full-stack developers. You will need some prior working knowledge of JavaScript and MongoDB as we skim over its basics and get straight to work. Overview At the end of this day, students should be able to: Understand the MEAN architecture Create RESTful APIs to complete CRUD tasks Build a blogging application with basic features Describe best practices to secure node applications Implement authentication and authorization Create simple animations using Angular Perform unit testing on Angular applications MongoDB, Express, Angular and Node.js Fundamentals begins by demystifying the MEAN architecture. You will review the features of the JavaScript technologies, frameworks, or libraries that make up a MEAN stack. You will also understand how to develop a RESTful API using Node.js, Express.js, and MongoDB Atlas. This course will enable you to discover how to build a blogging application using the MEAN stack. Next, you will learn about authentication using MEAN, and explore the features of Angular, such as pipes, reactive forms, modules and optimizing apps, animations and unit testing, and much more. By the end of the course, you will have all of the knowledge you need to become a pro at developing efficient web applications using JavaScript technologies. Introduction to the MEAN stack MEAN Architecture Demystification Getting Started with Node Activity 1: Creating an HTTP Server for a Blogging Application Understanding Callbacks, Event loop and EventEmitters in Node Understanding Buffers, Streams and Filesystem in Node Activity 2: Streaming Data to a File Developing RESTful APIs to perform CRUD operations Getting Started with RESTful APIs Getting started with MongoDB Atlas Activity 3: Connecting the Node Application with MongoDB Atlas Getting Started with Express Activity 4: Creating Express API Route and Controller Activity 5: Testing Fully Functional RESTful API Beginning Frontend Development with Angular CLI Getting Started with Angular CLI Using Components, Directives, Services, and Making HTTP Requests in Angular Activity 6: Designing the Frontend and Components for the Blogging Application Activity 7: Writing Services and Making HTTP Request Calls to an API Understanding Angular Forms and Routing Activity 8: Creating a Form Application Using the Reactive/Model-Driven Method Activity 9: Creating and Validating Different Forms Using the Template and Reactive Driven Method Activity 10: Implementing a Router for the Blogging Application Understanding MEAN Stack Security Node Security and Best Practices Node Application Authentication with JSON Web Token (JWT) Activity 11: Securing the RESTful API Node Application Authentication with Passport Activity 12: Creating a Login Page to Allow Authentication with Twitter Using Passport Strategies Angular Declarables, Bootstrapping, and Modularity Using Inbuilt Pipes, Custom Pipes, Custom Directives, and Observables Activity 13: Communicating Between Two Components Using Observable Angular Bootstrapping and Modularity Activity 14: Creating a Lazy Loaded Application Testing and Optimizing Angular Applications Angular Animations and Latest Angular Features Activity 15: Animating the Route Transition Between the Blog Post Page and View Post Page of the Blogging Application Optimizing Angular Applications Testing Angular Applications Activity 16: Performing Unit Testing on the App Root Component and Blog-Post Component Overview on the new features in Angular

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines 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 batch data 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 learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks 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 EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 5 Days 30 CPD hours This course is intended for This course is intended for: Solutions architects and cloud architects seeking their AWS Certified Solutions Architect - Associate certification Customers and APN Partners who have 6 to 12 months of experience with AWS including a strong architecture background and experience Individuals who prefer an instructor led course for training and exam readiness Individuals who have not taken the Architecting on AWS course in the last ~6 months Overview In this course, you will learn to: Make architectural decisions based on AWS architectural principles and best practices Leverage AWS services to make your infrastructure scalable, reliable, and highly available Leverage AWS Managed Services to enable greater flexibility and resiliency in an infrastructure Make an AWS-based infrastructure more efficient to increase performance and reduce costs Use the Well-Architected Framework to improve architectures with AWS solutions Navigate the logistics of the examination process, exam structure, and question types Identify how questions relate to AWS architectural concepts Interpret the concepts being tested by an exam question This five-day, instructor-led course helps busy architects get away from the day-to-day to get focused and ready for their AWS Certified Solutions Architect ? Associate exam. Attendees learn the fundamentals of building IT infrastructure on AWS, so they can build scalable and resilient solutions in the cloud, by spending the first 3 days on the Architecting on AWS course. They?ll start getting in the exam readiness mindset with bonus end of module quizzes. Next, they?ll learn strategies to answer exam questions and avoid common mistakes with the Exam Readiness: AWS Certified Solutions Architect ? Associate half-day course. The course broadens attendees? knowledge of AWS services with deep dives into Amazon Redshift, Amazon Kinesis, and AWS Key Management Service, and then concludes with two quizzes and an instructor guided review of the AWS Certified Solutions Architect ? Associate practice exam. Architecting on AWS Module 1: Introduction Module 2: The Simplest Architectures Hands-On Lab 1: Hosting a Static Website Module 3: Adding a Compute Layer Module 4: Adding a Database Layer Hands-On Lab 2: Deploying a Web Application on AWS Module 5: Networking in AWS Part 1 Hands-On Lab 3: Creating a Virtual Private Cloud Architecting on AWS (continued) Module 6: Networking in AWS Part 2 Module 7: AWS Identity and Access Management (IAM) Module 8: Elasticity, High Availability, and Monitoring Hands-On Lab 4: Creating a Highly Available Environment Module 9: Automation Hands-On Lab 5: Automating Infrastructure Deployment with AWS CloudFormation Module 10: Caching Architecting on AWS (continued) Module 11: Building Decoupled Architectures Module 12: Microservices and Serverless Architectures Hands-On Lab 6: Implementing a Serverless Architecture with AWS Managed Services Module 13: RTP/RPO and Backup Recovery Setup Module 14: Optimizations and Review Exam Readiness: AWS Certified Solutions Architect -- Associate Module 0: The Exam Module 1: Design Resilient Architectures Module 2: Design Performant Architectures Module 3: Specify Secure Applications and Architectures Module 4: Design Cost-Optimized Architectures Module 5: Define Operationally Excellent Architectures Exam Readiness Additional deep dive of AWS services Quiz #1 Practice exam: AWS Certified Solutions Architect ? Associate Quiz #2 Wrap-up

Duration 4 Days 24 CPD hours This course is intended for Data Modelers Overview Please refer to course overview This offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using IBM Cognos Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Framework Manager Model data and identifying related data Define requirements and modeling strategies Overview of IBM Cognos Framework Manager Create a baseline project Extend a model Prepare reusable metadata Model for predictable results in IBM Cognos Framework Manager Identify query issues Identify reporting traps Model virtual star schemas Use query subjects, modify relationships, and consolidate metadata using virtual objects Create calculations, filter data, and customize metadata for runtime Implement a time dimension and specify determinants Model for presentation in IBM Cognos Framework Manager Create a presentation view Examine data source query subject types and stored procedure query subject types Specify data security and package security Specify object security and dynamic data security Create analysis objects Manage OLAP data sources Advanced capabilities in IBM Cognos Framework Manager Explore SQL generation and the use of governors Examine the use of IBM Cognos SQL and generated SQL for DMR data Other query considerations Use session parameters, prompt macros, and security macro functions Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM) DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance Extended capabilities in IBM Cognos Framework Manager Perform basic maintenance and management on a model Remap metadata to another source and import and link additional data sources Run scripts to automate or update a model and report on a model Segment a project, link a project, and branch a model Nest packages and specify package languages and functions Explore additional modeling techniques and customize metadata for a multilingual audience Additional course details: Nexus Humans B6252 IBM Cognos Framework Manager: Design Metadata Models v11.1.x 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 B6252 IBM Cognos Framework Manager: Design Metadata Models v11.1.x course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Data Modelers Overview Please refer to course overview This offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using Framework Manager. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Framework Manager Model data and identifying related data Define requirements and modeling strategies Overview of IBM Cognos Framework Manager Create a baseline project Extend a model Prepare reusable metadata Model for predictable results in IBM Cognos Framework Manager Identify query issues Identify reporting traps Model virtual star schemas Use query subjects, modify relationships, and consolidate metadata using virtual objects Create calculations, filter data, and customize metadata for runtime Implement a time dimension and specify determinants Model for presentation in IBM Cognos Framework Manager Create a presentation view Examine data source query subject types and stored procedure query subject types Specify data security and package security Specify object security and dynamic data security Create analysis objects Manage OLAP data sources Advanced capabilities in IBM Cognos Framework Manager Explore SQL generation and the use of governors Examine the use of IBM Cognos SQL and generated SQL for DMR data Other query considerations Use session parameters, prompt macros, and security macro functions Use materialized views, minimize SQL, and enable Dynamic Query Mode (DQM) DQM, CQM, caching metadata, query processing, aggregate calculation, and other ways to improve performance Extended capabilities in IBM Cognos Framework Manager (Optional) Perform basic maintenance and management on a model Remap metadata to another source and import and link additional data sources Run scripts to automate or update a model and report on a model Segment a project, link a project, and branch a model Nest packages and specify package languages and functions Explore additional modeling techniques and customize metadata for a multilingual audience Additional course details: Nexus Humans B6152 IBM Cognos Framework Manager - Design Metadata Models v11.0.x 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 B6152 IBM Cognos Framework Manager - Design Metadata Models v11.0.x 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.