1237 AI courses in Bradford delivered Live Online

Providing Guidance & Support for MHFAiders: giving reassurance they are not alone. Our MHFAider guidance & support forums are tailored to provide MHFAiders with the clarity they need to excel in their role. We believe it's important to offer a safe space for MHFAiders to discuss their role, while staying up to date with the latest best practices and information. Mental Health First-Aiders and Champions forum for open discussions, guidance, support, and focus topic learning with a registered Mental Health Nurse.

The two-day Adult MHFAider® courses are tailored around supporting adults, and can be attended by anyone from age 16 upwards. A lot of the education settings we work with have now trained a number of Adult MHFAider®’s to support their colleagues as part of their whole-school/college approach to mental health and wellbeing.

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.

Why Learn Sketchup Basic to Advance Training Course? Course info SketchUp mastery with our hands-on course go from basics to advanced 3D modeling, advanced rendering, and expert lighting techniques. Immerse yourself in transformative learning tailored for SketchUp excellence. Duration: 16 hrs. Method: 1-on-1 Online Over Zoom is also available. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. Course Benefits: Comprehensive Skills Development: Master SketchUp from basics to advanced, gaining a comprehensive skill set. Efficient 3D Modeling: Learn to navigate and create intricate designs effortlessly with AI-driven 3D modeling techniques. Stunning Visual Realism: Explore advanced rendering methods to bring your designs to life with stunning visual realism. Professional Lighting Mastery: Harness the power of lighting to add depth and dimension, achieving a polished and professional finish. Flexible Learning: Tailor your own schedule with the convenience of pre-booking hours between 9 am and 7 pm, Monday to Saturday. Personalized 1-on-1 Training: Receive personalized attention and guidance with our 1-on-1 training approach. Course Title: "Sketchup Basic to Advance Training Course" Module 1: SketchUp Fundamentals (4 hours) Explore the SketchUp Interface Learn Basic Drawing Tools and Techniques Create and Edit Components Utilize Groups and Layers for Organization Introduction to Scenes and Animation Module 2: Advanced SketchUp Techniques (4 hours) Precision Modeling with Measurements Dynamic Components and Interactivity Advanced 3D Modeling Techniques Importing and Managing 3D Assets Enhance Functionality with SketchUp Extensions Module 3: V-Ray Rendering Basics (4 hours) Navigate the V-Ray Interface Set up V-Ray Materials Master Basic Lighting Techniques Understand Camera Settings and Composition Optimize Rendering Settings and Output Module 4: Advanced V-Ray Rendering (4 hours) Global Illumination and Image-based Lighting Realistic Material Creation Post-Processing using V-Ray Frame Buffer Efficient Scene Management with V-Ray Proxy Rendering Animation Sequences Course Project (2 hours) Integrate SketchUp and V-Ray for a Final Project Receive Guidance on Creating Photorealistic Renderings Participate in a Review and Feedback Session Upon completing the SketchUp Basic to Advance Training Course, participants will: Master SketchUp Basics: Navigate the interface, use drawing tools, and manage components effectively. Advance 3D Modeling: Apply precision modeling, dynamic components, and advanced techniques. Explore Extensions: Enhance functionality with SketchUp extensions. V-Ray Rendering Introduction: Learn V-Ray basics, including materials, lighting, and rendering settings. Advanced V-Ray Techniques: Implement global illumination, realistic materials, post-processing, and animation. Course Project Proficiency: Integrate SketchUp and V-Ray for a final project with photorealistic renderings.

Tea 'N Chat free event - Talk with Textile Artist Nicky Simpson

Online webinar aimed at newcomers and beginners to road rallying helping to learn the basics.

Tuition centres play a crucial role in adapting their teaching methods to cater to individual learning styles. By understanding each student’s unique needs and preferences.

As AI becomes more embedded in our workplaces, coaching needs to evolve to keep up. But how do we as coaches create the space for teams to truly integrate AI as a team member? Or maybe AI is not a team member – maybe that is us as coaches humanising it. Join us for our next ORSC Community Event on 12th March, where we’ll explore: How to coach effectively in the AI era Whether AI should have a "voice" in team alignment The balance between human intuition and digital intelligence Given the topic, we’re hosting this event virtually—embracing AI by bringing its voice into the conversation through our tech. Please invite your friends, colleagues and anyone who would benefit from the topic of conversation! All ORSC Curious+1's are welcome!

OVERVIEW This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data. The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service. COURSE BENEFITS: Learn how to clean, transform, and load data from many sources Use database queries in Power Query to combine tables using append and merge Create and manage a data model in Power BI consisting of multiple tables connected with relationships Build Measures and other calculations in the DAX language to plot in reports Manage advanced time calculations using date tables Optimise report calculations using the Performance Analyzer Manage and share report assets to the Power BI Service Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware WHO IS THE COURSE FOR? Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Management Consultants who need to conduct rapid analysis of their clients’ data to answer specific business questions Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use COURSE OUTLINE Module 1 Getting Started With Microsoft Data Analytics Data analytics and Microsoft Getting Started with Power BI Module 2 Get Data In Power BI Get data from various data sources Optimize performance Resolve data errors Lab: Prepare Data in Power BI Desktop Module 3 Clean, Transform And Load Data In Power BI Data shaping Data profiling Enhance the data structure Lab: Load Data in Power BI Desktop Module 4 Design A Data Model In Power BI Introduction to data modelling Working with Tables Dimensions and Hierarchies Lab: Model Data in Power BI Desktop Module 5 Create Model Calculations Using DAX In Power BI Introduction to DAX Real-time Dashboards Advanced DAX Lab 1: Create DAX Calculations in Power BI Desktop, Part 1 Lab 2: Create DAX Calculations in Power BI Desktop, Part 2 Module 6 Optimize Model Performance Optimize the data model for performance Optimize DirectQuery models Module 7 Create Reports Design a Report Enhance the Report Lab 1: Design a Report in Power BI Desktop, Part 1 Lab 2: Design a Report in Power BI Desktop, Part 2 Module 8 Create Dashboards Create a Dashboard Real-time Dashboards Enhance a Dashboard Lab: Create a Power BI Dashboard Module 9 Perform Advanced Analytics Advanced analytics Data Insights through AI Visuals Lab: Perform Data Analysis in Power BI Desktop Module 10 Create And Manage Workspaces Creating Workspaces Sharing and managing assets Module 11 Manage Datasets In Power BI Parameters Datasets Module 12 Row-Level Security Security in Power BI Lab: Enforce Row-Level Security

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.