5467 Software courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.

Duration 4 Days 24 CPD hours This course is intended for This intermediate course is designed for integration specialists and senior-level developers with experience in IBM Integration Bus application development. Overview After completing this course, you should be able to:Use event driven message processing to control the flow of messages by using message aggregation, message collections, message sequences, and time-sensitive nodesTransform data by using Microsoft .NET and XML stylesheetsAnalyze and filter information in complex XML documentsExtend DFDL message modelsUse message sets and the Message Repository Manager (MRM) parserProvide a message flow application as a web serviceRequest a web service from within a message flowDescribe how to implement WS-Addressing and WS-Security standards in IBM Integration BusCreate an integration serviceCreate and implement an IBM MQ request and response service definitionCreate and implement a database service definitionConfigure security-enabled message processing nodesCreate a decision service that implements business rules to provide routing, validation, and transformationExpose a set of integrations as a RESTful web serviceUse a global cache to store static dataRecord and replay data that a message flow application processesImplement publish and subscribe with IBM Integration BusDescribe the workload management options for adjusting the message processing speed, and controlling the actions that are taken on unresponsive flows and threadsConstruct user-defined patternsDescribe how IBM Integration Bus integrates with other IBM products such as IBM WebSphere Enterprise Service Bus and IBM DataPower Appliances This course focuses on using IBM Integration Bus to develop, deploy, and support platform-independent message flow applications and integration services. Course Outline Course introduction Using event driven processing nodes Exercise: Implementing message aggregation Transforming data with Microsoft .NET Transforming data with XSL stylesheets Analyzing XML documents Modeling complex data with DFDL Exercise: Extending a DFDL model Working with message sets and the MRM domain Supporting web services Exercise: Implementing web services Developing integration solutions by using integration services Exercise: Creating an integration service Connecting a database by using a discovered service Connecting IBM MQ by using a discovered service Exercise: Creating IBM MQ and database services Creating a decision service Exercise: Creating a decision service Developing integration solutions by using a REST API Using the global cache Implementing message flow security Exercise: Implementing IBM Integration Bus runtime security Implementing publish/subscribe Monitoring message flow events Exercise: Recording and replaying message flow data Managing the workload Creating patterns for reusability Extending IBM Integration Bus Course summary Additional course details: Nexus Humans WM676 IBM Integration Bus V10 Application Development II 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 WM676 IBM Integration Bus V10 Application Development II 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 This course is designed for technical professionals who require the skills to administer IBM© MQ queue managers on distributed operating systems, in the Cloud, or on the IBM© MQ Appliance. Overview After completing this course, you should be able to:Describe the IBM© MQ deployment optionsPlan for the implementation of IBM© MQ on-premises or in the CloudUse IBM© MQ commands and the IBM© MQ Explorer to create and manage queue managers, queues, and channelsUse the IBM© MQ sample programs and utilities to test the IBM© MQ networkEnable a queue manager to exchange messages with another queue managerConfigure client connections to a queue managerUse a trigger message and a trigger monitor to start an application to process messagesImplement basic queue manager restart and recovery proceduresUse IBM© MQ troubleshooting tools to identify the cause of a problem in the IBM© MQ networkPlan for and implement basic IBM© MQ security featuresUse accounting and statistics messages to monitor the activities of an IBM© MQ systemDefine and administer a simple queue manager cluster This course provides technical professionals with the skills that are needed to administer IBM© MQ queue managers on distributed operating systems and in the Cloud. In addition to the instructor-led lectures, you participate in hands-on lab exercises that are designed to reinforce lecture content. The lab exercises use IBM© MQ V9.0, giving you practical experience with tasks such as handling queue recovery, implementing security, and problem determination. Note: This course does not cover any of the features of MQ for z/OS or MQ for IBM© i. Course introductionIBM© MQ reviewIBM© MQ installation and deployment optionsCreating a queue manager and queuesExercise: Using commands to create a queue manager and queuesIntroduction to IBM© MQ ExplorerExercise: Using IBM© MQ Explorer to create queue managers and queuesTesting the IBM© MQ implementationExercise: Using IBM© MQ sample programs to test the configurationImplementing distributed queuingExercise: Connecting queue managersIBM© MQ clientsExercise: Connecting an IBM© MQ clientImplementing trigger messages and monitorsExercise: Implementing a trigger monitorDiagnosing problemsExercise: Running an IBM© MQ traceImplementing basic security in IBM© MQExercise: Controlling access to IBM© MQBacking up and restoring IBM© MQ messages and object definitionsExercise: Using a media image to restore a queueExercise: Backing up and restoring IBM© MQ object definitionsIntroduction to queue manager clustersExercise: Implementing a basic clusterMonitoring and configuring IBM© MQ for performanceExercise: Monitoring IBM© MQ for performanceCourse summary

Master ISO 9001:2015 Quality Management standards. From leadership to performance evaluation, this course provides a comprehensive guide to implementing effective quality management systems in your organization.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Database Administrators, Database Developers, BI professionals, and Business reporting users. Overview Upon successful completion of this course, students will be able to run Queries and retrieve results, perform conditional searches, and retrieve data from multiple tables. Before starting this course, make sure you meet at least one of the following prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality. Basic working knowledge of Relational Databases. In this course, students will gain a good understanding of the Transact-SQL language. They will be able to create queries, sort, filter the data, execute procedures with T-SQL. Course Outline 1.Introduction to Microsoft SQL Server 2.Introduction to T-SQL Querying 3.Writing SELECT Queries 4.Querying Multiple Tables 5.Sorting and Filtering Data 6.Working with SQL Server Data Types 7.Using DML to Modify Data 8.Using Built-In Functions 9.Grouping and Aggregating Data 10.Using Subqueries 11.Using Table Expressions 12.Using Set Operators 13.Using Windows Ranking, Offset, and Aggregate Functions 14.Pivoting and Grouping Sets 15.Executing Stored Procedures 16.Programming with T-SQL

Duration 0.75 Days 4.5 CPD hours This course is intended for Making Microsoft Word documents accessible. Overview Please refer to Overview. During this course students will interact with a variety of Word documents and review components that would render the document inaccessible. Students will enable the Accessibility Checker and the Speak feature and progress through the processes and procedures to meet the AODA mandate. Students will ultimately create an accessible set of styles and use those styles within the document. Adding the Accessibility Checker and the Speak feature Discussions will follow as to the limitations of the checker When the checker won?t run Document Metadata Students will review where and why to add metadata to a Word Document Setting the application language and setting the document language Setting the document title Adding the Author and subject metadata fields Creating Accessible Paragraphs and Columns Students will see the perils of incorrect use of hard returns and text boxes within a document Exercises will have students work with paragraph formatting and column formatting for accessibility Creating Accessible Tables Students will interact with tables that are poorly designed and restricted them to still maintain content but that are now accessible Discussions will surround, changes to how tables are handled when sending to PDF Accessible Imagery Students will discuss the need to images with a document The Alternate text feature will be used and the rationale for adding specific types of descriptions Students will see and understand the rationale for ?in-line- imagery Styles for Navigation Students will use and modify the built-in styles feature of Microsoft Word and create a table of contents Students will see with the use of the navigation pane, how styles impact accessibility Students will also understand the importance of proper styles nesting Headers, Footers and Footnotes Students will discuss and then implement accessible headers and footers Students will discuss footnotes and alternative methods to provide footnotes Verifying Reading Order Students will ?listen? to their documents using the Speak feature Students will enable the selection pane as an accessibility tools and discuss its limitations Creating an Accessible Style Template Students will create several accessible styles including headings and paragraphs Students will save the style within a template Additional course details: Nexus Humans Accessible Documents 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 Accessible Documents 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 persons in a variety of job roles such as publishing specialists, layout specialists, graphic designers, or any other knowledge workers who need to use Microsoft Office Publisher to create, lay out, edit, and share publications. Overview In this course, you will create, format, edit, and share publications. You will: Perform basic tasks in the Microsoft Publisher interface. Add content to a publication. Format text and paragraphs in a publication. Manage text in a publication. Work with graphics in a publication. Prepare a publication for printing and sharing. Microsoft© Publisher for Office 365? is a desktop publishing softwareapplication capable of producing greeting cards, certificates, newsletters, and otherprinted publications. Publisher includes a large collection of templates that provideagreat way to start a new publication. Publisher offers a large selection of 'buildingblocks' that can be dragged into your documents, helping you to create page elementssuch as calendars, newsletter sidebars, and borders. Publisher integrates online sharingand mail merge features, which are handy when you need to send publications to a listofcustomers, and it's possible to export publications as HTML web pages or PDF documents.With a user-friendly interface, Publisher makes it easy to create and editpublications. This course presents information and skills that are appropriate for users of theOffice2019/2021 or Office 365 desktop applications. However, the instructional environmentforthe delivery of this course utilizes Office 365. Getting Started with Microsoft Publisher Topic A: Navigate the Interface Topic B: Customize the Publisher Interface Topic C: Create a Publication Adding Content to a Publication Topic A: Add Text to a Publication Topic B: Add Pages and Picture Placeholders to a Publication Topic C: Control the Display of Content in Text Boxes Topic D: Apply Building Blocks to a Publication Formatting Text and Paragraphs in a Publication Topic A: Format Text Topic B: Format Paragraphs Topic C: Apply Schemes Managing Text in a Publication Topic A: Edit Text in a Publication Topic B: Work with Tables Topic C: Insert Symbols and Special Characters Working with Graphics in a Publication Topic A: Insert Graphics in a Publication Topic B: Customize the Appearance of Pictures Preparing a Publication for Sharing and Printing Topic A: Check the Design of a Publication Topic B: Save a Publication in Different Formats Topic C: Print a Publication Topic D: Share a Publication