56 Chatbot courses in Nottingham delivered Online

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Digital Marketing for Beginners to Advanced Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Digital Marketing Course is one of the most prestigious training offered at Study Hub and is highly valued by employers for good reason. This Digital Marketing Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Digital Marketing Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Study Hub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Study Hub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Learning Outcomes Grasp the essentials of digital marketing from foundational concepts to advanced strategies. Dive into the intricacies of launching and managing an online e-commerce store. Explore effective digital marketing strategies tailored for e-commerce businesses. Harness the power of affiliate marketing to amplify your online presence. Implement proven tips to significantly boost online sales for e-commerce ventures. Why choose this Digital Marketing for Beginners to Advanced course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Digital Marketing for Beginners to Advanced course for? Aspiring digital marketers eager to kickstart a successful online career. Business owners and entrepreneurs aiming to enhance their e-commerce presence. Marketing enthusiasts seeking a comprehensive understanding of digital strategies. Individuals looking to monetize e-commerce ventures through effective marketing. Anyone eager to unlock the secrets of successful digital marketing in the modern era. Career path Digital Marketing Specialist: £25,000 - £40,000 E-commerce Manager: £30,000 - £50,000 Affiliate Marketing Strategist: £28,000 - £45,000 Online Sales Consultant: £25,000 - £38,000 E-commerce Business Owner: Earnings vary based on business success Digital Marketing Director: £40,000 - £70,000 Prerequisites This Digital Marketing for Beginners to Advanced does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Digital Marketing for Beginners to Advanced was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction Digital Marketing Starting an Online ECommerce Store preview 00:06:00 Module 02: Digital Marketing Starting An Online Ecommerce Store Types Of E-Commerce Store 00:04:00 Types Of E-Commerce Business Models 00:04:00 What You Can Sell In An E-Commerce Store 00:03:00 Digital Marketing Strategies 00:04:00 Tips To Increase E-Commerce Online Sales 00:04:00 Incorporating Affiliate Marketing Into Your E-Commerce Business 00:04:00 Module 03: Digital Marketing Strategies To Market An E-Commerce Business Boost Product Visualisation 00:03:00 Three Main Purposes Of Any Product Video 00:03:00 Automate With Chatbots 00:05:00 Reduce Cart Abandonment 00:04:00 Use Retargeting Tactics 00:03:00 Module 04: Incorporating Affiliate Marketing Into Your E-Commerce Business Determine If An Affiliate Program Is Right For You 00:04:00 Find Publishers To Partner With 00:05:00 Review And Approved Publishers 00:04:00 Conduct Outgoing Review 00:04:00 Win New Customers With Referral Marketing 00:04:00 Module 05: Tips To Increase E-Commerce Online Sales Reach In Market Shoppers With Google Shopping Ads 00:03:00 Remarket To Them Display Ads 00:04:00 Turn Likes Into Sales With Shopping On Instagram 00:04:00 Instill Trust With Customer Reviews 00:03:00 Up Your Cross Selling Game With Pop Ups 00:04:00 Module 06: Types Of E-Commerce Business Models Drop Shipping 00:04:00 Wholesaling And Warehousing 00:04:00 Private Labelling And Manufacturing 00:04:00 White Leveling 00:03:00 Subscription 00:04:00 Module 07: Types Of E-Commerce Store Business To Business E Commerce 00:04:00 Business To Consumer E Commerce 00:05:00 Consumer To Consumer 00:04:00 Consumer To Business E Commerce 00:03:00 B2g - Government Or Public Administration 00:05:00 Module 08: What You Can Sell In An E-Commerce Store Identify Or Create Product That Solve A Problem 00:04:00 Find Product You And Other People Are Passionate About 00:05:00 Find Products With Branding Potential 00:04:00 Hop On Trends Early 00:04:00 Find Product That Fulfill Guilty E Pleasures 00:04:00 Module 09: Conclusion Review 00:04:00 Assignment - Digital Marketing for Beginners to Advanced 02:27:00 Assignment

Our Ultimate Digital Marketing Bundle will cover topics such as SEO, content marketing, social media marketing, email marketing, e-commerce, and more.

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 3 Days 18 CPD hours This course is intended for The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator 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. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Duration 1 Days 6 CPD hours This course is intended for This course is designed for non-technical business executives who are tasked with making business decisions about emerging technologies in their businesses. Overview You will learn:Blockchain Cloud BasicsIoT OverviewMobility and Ambient ComputingMachine Learning and Deep LearningChatbots, Robotics, and More This course is designed for non-technical business executives looking to learn and understand emerging technologies. Blockchain Cloud BasicsIoT OverviewMobility and Ambient ComputingMachine Learning and Deep LearningChatbots, Robotics, and More