3142 Development courses in Belfast delivered Live Online

Introduction to Neurodiversity for Educators (Post-16)

Duration 2 Days 12 CPD hours This course is intended for This in an intermediate-level Java development course geared for students experienced with Java and Spring programming essentials. This course does not cover Java or Spring development basics. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core Cucumber and web testing skills, coupling the most current, effective techniques with the soundest industry practices. Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will: Learn the request-response cycle of REST requests Implement a REST controller using Spring Map URLs to service endpoints Use Spring's template class to develop a REST client Bootstrap a Spring REST applications Return different media types for a service Setting the response headers Discuss Exceptions and HTTP Status codes Handle exceptions thrown by a service Spring REST focuses on providing an understanding of the fundamental principles and technologies that are used in the development of RESTful services and clients. This understanding is critical to being able to diagnose, troubleshoot, tune, and perform other lifecycle activities.Working with Spring REST is a two-day, fast-paced coding course geared for experienced developers who have prior working knowledge of Java. Throughout the course students learn the best practices for writing Restful services in Java using Spring Boot. The course provides an in-depth view of the APIs provided by Spring to develop both the REST service and the REST client. Implementing REST with Spring REST principles Introduction to RESTful Services in Spring Introduction to REST Clients in Spring Bootstrapping the REST application Content Representation Implementing the REST Service Error Handling Security and RESTful Services Securing Untrusted Input Defending RESTful Services Additional course details: Nexus Humans Working with Spring REST (TT3358) 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 Working with Spring REST (TT3358) 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.

This virtual training will give you the confidence to deliver one to ones that will ensure practitioners leave the session feeling recognised, empowered and with achievable goals. In this training we explore: The dos and don'ts. The impact of good sessions for practitioners wellbeing, motivation and progression. How the leader can prepare. How to set SMART Goals. How practise documents can support your sessions. How to ask questions and what questions do you ask? How to follow up after the session. As part of this training you will receive a list of 20 possible questions to ask during your one to one sessions.

Course Overview This comprehensive course on Coding (HTML, C++, Python, JavaScript & IT) offers a structured introduction to the world of coding and information technology. It covers an expansive array of programming languages and technologies, including HTML, CSS, JavaScript, C++, Python, and PHP, alongside key IT concepts such as cybersecurity, cloud computing, and network security. Learners will develop a deep understanding of programming logic, software development, web development, and essential IT operations. Whether you're aiming to explore programming for the first time or expand your technical skill set, this course equips you with the knowledge required to navigate modern computing systems and coding environments. Upon completion, learners will be better prepared to pursue roles in web development, programming, system administration, and IT support across various industries. Course Description This course delivers an in-depth exploration of both coding and IT fundamentals, offering a diverse curriculum that spans core programming languages such as HTML, C++, Python, JavaScript, and R. It extends into cybersecurity, Linux scripting, ethical hacking, and computer networking—creating a well-rounded foundation for digital fluency. Learners are introduced to the design and development of web applications, front-end and back-end technologies, and essential tools such as GitHub, Heroku, and MySQL. The course further includes IT administration, encryption methods, cloud infrastructure, and system troubleshooting, ensuring coverage of key concepts necessary in today’s tech-driven world. With a focus on conceptual clarity and structured progression, learners will gain valuable knowledge aligned with current industry needs and expectations. Course Modules Module 01: Introduction to Coding With HTML, CSS, & Javascript Module 02: C++ Development: The Complete Coding Guide Module 03: Python Programming: Beginner To Expert Module 04: Learn Ethical Hacking From A-Z: Beginner To Expert Module 05: Bash Scripting, Linux and Shell Programming Module 06: JavaScript Project – Game Development with JS Module 07: R Programming for Data Science Module 08: Secure Programming of Web Applications Module 09: Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku Module 10: The Complete Front-End Web Development Course! Module 11: The Complete MySQL Server from Scratch: Bootcamp Module 12: Cyber Security Awareness Training Module 13: Cloud Computing / CompTIA Cloud+ (CV0-002) Module 14: CompTIA A+ (220-1001) Module 15: Building Your Own Computer Module 16: Computer Networks Security from Scratch to Advanced Module 17: IT Administration and Networking Module 18: Encryption Module 19: Advance Windows 10 Troubleshooting for IT HelpDesk Module 20: Microsoft Excel Complete Course (See full curriculum) Who is this course for? Individuals seeking to understand programming languages and IT fundamentals. Professionals aiming to transition into coding or expand their IT knowledge. Beginners with an interest in computing, programming, or digital technologies. Students or career changers preparing for roles in the tech sector. Career Path Web Developer Software Programmer IT Support Technician Network Administrator Cybersecurity Analyst Cloud Computing Technician Data Analyst Systems Engineer Helpdesk Specialist IT Consultant

Duration 3 Days 18 CPD hours This course is intended for This course is for technical professionals to gain skills in writing rules for Snort-based Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS). The primary audience includes: Security administrators Security consultants Network administrators System engineers Technical support personnel using open source IDS and IPS Channel partners and resellers Overview After taking this course, you should be able to: Describe the Snort rule development process Describe the Snort basic rule syntax and usage Describe how traffic is processed by Snort Describe several advanced rule options used by Snort Describe OpenAppID features and functionality Describe how to monitor the performance of Snort and how to tune rules The Securing Cisco Networks with Snort Rule Writing Best Practices (SSFRules) v2.1 course shows you how to write rules for Snort, an open-source intrusion detection and prevention system. Through a combination of expert-instruction and hands-on practice, this course provides you with the knowledge and skills to develop and test custom rules, standard and advanced rules-writing techniques, how to integrate OpenAppID into rules, rules filtering, rules tuning, and more. The hands-on labs give you practice in creating and testing Snort rules. Course Outline Introduction to Snort Rule Development Snort Rule Syntax and Usage Traffic Flow Through Snort Rules Advanced Rule Options OpenAppID Detection Tuning Snort

Gadd Music Vocal studio Your Rock \ Pop singing teacher

Gadd Music Vocal Studio Your Rock \ Pop singing teacher

Sharing & Networking - Thanking supporters Session aimed at all types of fundraiser. THIS SESSION WILL NOT BE RECORDED

It is estimated that more than 1.2 million people in the UK are living with a learning disability. Healthcare and social care workers must have an adequate understanding of the needs of people with learning disabilities. It is also essential that they listen to the needs, hopes and aspirations of those living with learning disabilities, their careers, friends, and families. An improved knowledge, together with current guidance and best practice recommendations help to improve the care provided to people who have learning disabilities.

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.