892 Art courses in Formby delivered Live Online

Onze studenten, alumni en docenten zijn ijzersterk in het bedenken van artistieke en creatieve concepten. Maar om van concept te gaan naar realisatie zijn er acht andere bouwstenen die even noodzakelijk zijn. Die bouwstenen vormen samen een business plan. Gelukkig is er met het Canvas Model van Alex Osterwalder een model dat je toelaat om die bouwstenen snel en accuraat te benoemen zodat je creatief concept geen volledig boekdeel nodig heeft om tot stand te komen. Deze webinar is bijzonder handig voor studenten en docenten die overwegen om een LUCAbreakoutsteun aan te vragen. Dit model wordt gebruikt in de beoordeling van de voorstellen.

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.

his course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. These concepts are daily used by programmers and is your first step to working as a programmer. By the end, you'll be comfortable in programming Python code. You will have done small projects. This will serve for you as examples and samples that you can use to build larger projects.

Python Data Analytics with Python using Numpy, Pandas, Dataframes. Most attendees are in-work Data Professional. Private individuals are very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led

SQL Queries Course, 1-Day. Basic SQL syntax. This course is good for any database, covering standard SQL. Most attendees are in-work IT Professional. Private individuals are also very welcome.

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Course Overview Unlock your full creative potential with Creative Writing: Write Stories Like a Professional Writer! This course provides a comprehensive introduction to the art and craft of writing across a wide range of genres. Whether you aspire to write novels, poetry, children's books, or compelling non-fiction, this course offers practical insights and structured guidance to elevate your writing skills. Learners will explore key techniques for character development, dialogue creation, and story structuring, while gaining a deeper understanding of critical thinking and business writing. By the end of the course, you will be equipped with the knowledge and confidence to write professionally, refine your work through editing, and pursue opportunities for publication. Course Description Creative Writing: Write Stories Like a Professional Writer! takes you on an enriching journey through the world of creative writing. Covering fiction, non-fiction, poetry, and professional writing, the course develops both foundational and advanced writing techniques. Learners will engage with modules on writing horror and thriller stories, creating believable characters, crafting realistic dialogue, and understanding the publishing process. The course also introduces vital skills such as critical thinking and business writing to enhance versatility. With a focus on structured development and creativity, learners will build the confidence to produce polished, compelling pieces that meet professional standards. This course is suitable for individuals at all stages of their writing journey, offering the tools needed to transform ideas into powerful written works. Course Modules Module 01: Introduction to Creative Writing Module 02: The Development of Creative Writing Module 03: Novel Writing Module 04: Writing Non-Fiction Module 05: Creating Fictional Characters Module 06: Writing Realistic Dialogue Module 07: Writing Horrors, Thriller and Murder Stories Module 08: Writing for Children Module 09: Writing Poetry Module 10: Proposal Writing Module 11: Critical Thinking Module 12: Business Writing Module 13: Other Writings Module 14: Editing, Evaluating and Getting Published (See full curriculum) Who is this course for? Individuals seeking to master creative writing and storytelling techniques. Professionals aiming to enhance their communication and writing skills for diverse applications. Beginners with an interest in exploring the field of creative writing. Writers looking to prepare manuscripts for publication or self-publishing. Career Path Author Copywriter Content Writer Scriptwriter Editor Publishing Assistant Communications Officer Journalist Creative Writing Tutor

LinkedIn Marketing Masterclass Course Overview The LinkedIn Marketing Masterclass provides a comprehensive understanding of using LinkedIn as a powerful marketing tool. This course covers everything from creating an optimised LinkedIn profile to developing advanced content strategies, running targeted ad campaigns, and measuring marketing success. It aims to equip learners with the skills to enhance their personal or business brand, increase engagement, and drive traffic to their services or products. By the end of the course, learners will be confident in navigating LinkedIn’s features and tools to generate quality leads and achieve their marketing goals. Course Description This course delves into a variety of key topics, including building a strong LinkedIn presence, understanding LinkedIn’s algorithm, creating effective posts and articles, and leveraging LinkedIn’s advertising platform. Learners will also explore strategies for growing their network, using LinkedIn Analytics to track performance, and mastering the art of personal branding. Throughout the course, participants will gain expertise in developing LinkedIn-specific content strategies, using advanced targeting options for ads, and building a network that supports career or business objectives. By the end, learners will be equipped to maximise their LinkedIn efforts and achieve measurable results. LinkedIn Marketing Masterclass Curriculum: Module 01: Introduction to LinkedIn Marketing Module 02: Setting Up a Strong LinkedIn Profile Module 03: Building Your Network and Connections Module 04: Creating Compelling LinkedIn Content Module 05: Leveraging LinkedIn for Lead Generation Module 06: Using LinkedIn Ads to Boost Visibility Module 07: Understanding LinkedIn Analytics Module 08: Advanced LinkedIn Strategies for Business Growth (See full curriculum) Who is this course for? Individuals seeking to enhance their personal or business brand on LinkedIn. Professionals aiming to advance their careers or establish authority in their industry. Beginners with an interest in using LinkedIn for marketing or networking. Business owners and marketers wanting to utilise LinkedIn as a marketing channel. Career Path Social Media Manager Digital Marketing Specialist Content Strategist LinkedIn Ad Campaign Manager Brand Manager Business Development Executive

'Motorcycle Skills - Improve your Riding in Eight Weeks' is an online distance learning e-course which will help motorcyclists improve their riding skills. It's suitable for intermediate and advanced riders.

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.