Become a Certified User Experience Professional Build a career in UX with the world’s only university credit-rated online UX course. Acquire the mindset, the skills and the confidence that make UX designers so valuable. A rewarding and meaningful career awaits. Why become a UX designer? Be in demand UX is a high-growth sector. The demand for UX designers far outstrips the supply of qualified professionals. Get well paid UX designers are highly paid. The average entry-level salary for a UX designer in the United Kingdom is £35,465 (PayScale, 2019) Love your job UX designers make an impact. They solve real-world problems using an exciting mix of research, design, technology and psychology. Study method Online, self-paced Duration 6 months Access to content 12 months Qualification Level 8 Diploma - User Experience Design Awarded by Glasgow Caledonian University Regulated by SQA Additional info Exam(s) / assessment(s) is included in price Tutor is available to students Description Duration: 6 months Get certified in six months following a flexible, structured learning path. Delivery: Online The course is delivered entirely online, including video modules, mentor-led webinars and support. Assessment: 2-hour exam Before getting certified, you'll be assessed during a two-hour exam taken online. Outcomes for you Think like a UX designer; adopt the mindset that sets them apart Showcase your knowledge with a portfolio of project work Speak with the confidence that comes from a true, deep understanding of UX Advance your career with job-ready skills Complete a university credit-rated course, valued by employers globally Become a Certified UX Professional Learn with us We’ve worked hard to design the best possible online learning experience for you. As well as an unmatched syllabus, our approach includes: Projects & portfolio Learn by doing with a series of real-world projects ideal for your UX portfolio. Mentors & webinars Be guided by our hand-picked, world-class mentors during monthly webinars. Structure & support Stay motivated with a structured programme supported by fellow students and our customer success team. What you’ll learn We’ve put together a university credit-rated curriculum that’s deep, rigorous and covers everything you need to know to become a certified UX professional and turbocharge your career. Module 01 - Introduction to UX design Module 02 - User research Module 03 - User goals Module 04 - Structure and navigation Module 05 - Interactions Module 06 - Design principles Module 07 - Design patterns Module 08 - Mobile Module 09 - Workflows Module 10 - Prototyping and handover Module 11 - AI and UX Module 12 - Creating your portfolio Module 13 - Career guidance Hub Tutorials for Figma Projects and portfolio - Projects that build into a portfolio Exam - 2-hour final exam Requirements Background You don’t need experience in design or technology to enrol in our courses, although having one or both is a definite bonus. Our students come from a diverse array of backgrounds, including project management, development, graphic design, product management, business analysis and so on. Commitment You do need to be motivated and committed. We set a high bar. Studying for one of our professional qualifications requires a certain amount of time, energy and focus. Our team will be there to support you along every step of the way but success will come as a result of your own diligence. Career path The average salary for entry level user experience designers is £28,000 The average salary for user experience designers with 1-5 years experience ranges from £29,000 to £50,000 The average salary for user experience managers/leads is £80,000 Information from LinkedIn Salary Reports, based on real jobs listings.
In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.
Gain a thorough grasp of time series analysis and its effects, as well as practical tips on how to apply machine learning methods and build RNNs. Learn to train RNNs efficiently while taking crucial concepts such as overfitting and underfitting into account. The course offers a useful, hands-on manner for learning Python methods and principles.
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.
In this self-paced course, you will learn how to use TensorFlow 2 to build deep neural networks. You will learn the basics of machine learning, classification, and regression. We will also discuss the connection between artificial and biological neural networks and how that inspires our thinking in deep learning.
I Stress, Eustress, We all stress Stress is a natural response, and not all stress is bad—eustress can motivate and enhance performance, while distress can overwhelm. We believe everyone can control stress through recognition, self-care and conversation. Let’s turn stress into a catalyst for growth, not burnout. Ready to rethink how you handle stress? Let’s talk. Workshop outline: Stress and mental health Eustress and distress Discuss approaches to coping with stress Explore what might be helpful to promote self-care Practice conversation starters Self-care and wellbeing resources Our 2-hour workshop packages At Mindmaps Wellbeing, we know that every business is unique, and no team is the same. That’s why we’ve developed our range of short, specialist wellbeing and mental health themed workshops—a fully flexible approach to workplace training. With our selection of engaging and impactful 2-hour workshops, you can build a programme that truly meets your organisation’s needs. Whether you’re looking to manage stress, challenge stigma, or avoid burnout, you choose the sessions that suit your team best. Our training courses and workshop collection Why Mindmaps Wellbeing? Mindmaps Wellbeing is the trusted training provider for businesses looking to enhance workplace mental health and employee wellbeing. Our training is designed and delivered by registered Mental Health Nurses, ensuring credibility, expertise, and real-world application. Focus on culture change – Our training goes beyond theory transfer, aiming to embed lasting behavioural shifts that foster a positive, mentally healthy workplace Flexible delivery options – We offer in-person, online, and hybrid training solutions to fit your organisation’s needs Proven impact and measurable results – Our training leads to improved employee engagement, productivity, and retention Engaging and actionable – All our courses include interactive activities, case studies, and real-world applications for immediate impact Contact us for more information.
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.
Learn to accelerate your Salesforce development with the power of ChatGPT. This course will show you how to use ChatGPT to write your own Apex triggers, batch Apex, test classes, validation rules, and flows, allowing you to streamline your development process and improve productivity.
Perhaps you are working on a digital transformation project or AI and whenever this phrase pops up you’re not clear what it means for you. How do you know if you are data literate? Who in your organisation needs to be data literate? Why does it matter? Get up to speed with this 90 minute introductory training which focuses on the key principles of data literacy so you can apply them in your day to day work.
Want to learn how to create eye-catching and engaging graphics for your business? Join our Using Canva workshop to find out how to utilise the online graphic design platform Canva to make everything from your company branding to social media posts and more! Event details: Time: 10am – 11:30am Location: Online (ZOOM) Cost: £25pp (£30pp from after April) In this course, we’ll cover everything from: How to sign up and get set up on the platform How to navigate Canva as a beginner Creating a brand kit for your business Creating a new graphic together for a campaign for a business Walkthrough of all the basic features of Canva Resizing designs to make posters and leaflets As part of the live event of this workshop, we will also have a Questions and Answers session to finish this online workshop, where participants can ask specific questions about how to use Canva for their business. Meet the Host: Kerry Madge | Marketing Executive, Let's Do Marketing Kerry Madge is a dynamic Marketing Executive at Let's Do Marketing, bringing nearly six years of diverse experience collaborating with businesses of all sizes. Holding a BA in Marketing Management, Kerry excels in social media advertising, graphic design, and copywriting. Her passion lies in crafting creative solutions and developing comprehensive marketing strategies that empower small businesses to visualise and achieve their overarching goals. Privacy Notice By registering for this event, you agree to Let’s Do Business Group processing and managing your personal data in accordance with our Privacy Policy. Your data will only be used for the purposes of managing your event registration and any relevant communications.