672 Instructor courses in Liverpool delivered Live Online

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.

Mindfulness-Based Stress Reduction (MBSR) Package: Cultivate Inner Peace and Resilience Find peace in the present moment with Miss Date Doctor’s Mindfulness-Based Stress Reduction (MBSR) package. MBSR combines mindfulness meditation, body awareness, and gentle movement to help you cope with stress, anxiety, and pain. Our skilled instructors will teach you mindfulness techniques that foster self-awareness, non-judgmental acceptance, and emotional regulation. Through regular practice, you’ll develop a heightened sense of presence and resilience, allowing you to navigate life’s challenges with grace and composure. Cultivate inner peace and a deeper connection to yourself and others with the MBSR package. 3 X 1 HOUR SESSION https://relationshipsmdd.com/product/mindfulness-based-stress-reduction-package/

An instructor-led leadership learning programme based on emotional intelligence and social neuroscience, designed to boost leadership 'PowerSkills.' A practical programme that provides leaders with a learning journey that equips them with the tools and techniques to connect, empathise, communicate effectively, build employee engagement and influence.

3DS MAX AND AFTER EFFECTS ONE DAY face to face training customised and bespoke. Online or Face to Face

Who is this Course for? Mastering Unity 3D Intermediate Level Training Course Our Unity 3D training programs are tailored for individuals aspiring to become game developers, creative minds, & enthusiasts keen to explore the realm of game development. Learn 3D & 2D games or looking to master Unity's cross-platform features. Click here for more info: Website Duration: 20 hours Approach: 1-on-1 Individualized Attention & Customized Content Timetable: Scheduling any hour between 9 am and 7 pm, from Mon to Sat Course Overview: Sessions 1-2: Introduction to Unity Familiarize yourself with Unity's interface and workspace Create a new Unity project and set up the initial scene and navigation Sessions 3-4: Asset Management Explore and download free assets Import various asset types into Unity and understand their applications Sessions 5-6: Environmental Design Utilize Unity's terrain tools for environment creation Enhance scenes with textures, materials, and environmental objects Sessions 7-8: Character Development Design 3D character models Rig, animate, and import characters into Unity Sessions 9-10: Player Interaction Set up player controls and script basic movements Implement camera controls for seamless gameplay experiences Sessions 11-12: Physics and Realism Understand and implement physics in Unity Configure collisions, gravity, force, and torque for realistic interactions Sessions 13-14: Audio Enhancement Master audio implementation with sound effects and background music Fine-tune volume and pitch for immersive gameplay Sessions 15-16: Lighting and Visual Effects Employ advanced lighting techniques, including dynamic day-night cycles Enhance visuals with lens flares and particle systems Sessions 17-18: User Interface Design Construct user interfaces using Unity's canvas system Integrate interactive elements such as buttons and menus, ensuring smooth functionality Sessions 19-20: Optimization and Performance Implement optimization techniques and utilize the profiler for performance analysis Improve frame rates and reduce memory usage for seamless gameplay Session 21-22: Multiplayer Integration Explore multiplayer implementation and set up local multiplayer games Session 23-24: Mobile Game Development Discover mobile game development in Unity Build, deploy, and optimize games for mobile devices, focusing on performance and controls Session 25: Advanced Topics Delve into advanced scripting techniques, including coroutines, delegates, and events Explore shader programming and visual effects, and venture into VR development with Unity and Oculus Quest Final Project: Create a Comprehensive Game Test the game thoroughly, identify and resolve bugs Make necessary adjustments and improvements for a polished final product Experience the Real-Time Development Platform: Unleash your creativity and create 3D, 2D, VR, and AR experiences across various industries, including games, automotive, AEC, film, and more. Unity Pro offers a complete solution to develop better, iterate faster, and grow your business. Enjoy amazing games and immersive experiences with multi-platform support. Get started today: Unity Pro. Learning Outcomes: Participants will gain expertise in Unity 3D, mastering asset management, environmental design, character animation, player interaction, physics, audio, lighting, UI, optimization, and advanced scripting. They will develop a complete game, honing skills in debugging and project completion. Career Opportunities: Graduates can pursue roles as Game Developers, Mobile Game Developers, VR/AR Developers, Game Designers, UI/UX Designers, Game Testers, Indie Game Developers, Educational Game Developers, Freelance Developers, or Game Development Instructors, leveraging their Unity 3D skills for diverse and exciting career paths in the gaming industry. Skills Acquired: Participants in the Mastering Unity 3D Intermediate Level Training Course will gain advanced proficiency in Unity 3D game development, including: Advanced 3D Game Development Techniques Real-time Physics and Animation Skills Multiplatform Game Deployment Expertise Job Opportunities: Upon completion, individuals can pursue roles such as: Game Developer Unity 3D Programmer AR/VR Developer Interactive Simulation Designer This course equips participants with the expertise required for exciting opportunities in game development studios, AR/VR companies, and interactive media agencies, setting the stage for a successful career in the gaming and simulation industry. Course Advantages: Comprehensive Unity Mastery: Develop expertise in various Unity aspects, including game design, scripting, animation, and optimization. Hands-On Project Experience: Engage in practical projects mirroring real-world game development, enhancing your skills and portfolio. Interactive Live Instruction: Learn from experienced instructors in real-time, encouraging interactive discussions, Q&A sessions, and personalized guidance. Flexible Learning Paths: Opt for in-person or online classes, ensuring accessible and convenient learning tailored to your needs. Lesson Revisions: Access recorded lessons, allowing flexible review and reinforcement of concepts at your own pace. Lifetime Email Support: Benefit from ongoing support via email, where experts are available to assist with any questions or challenges, even after the course concludes.

Course Overview This comprehensive "Cookery: Bread Making & Baking" course introduces learners to the art of baking bread, focusing on key techniques and essential knowledge. Participants will explore various methods of bread production, from traditional techniques to modern approaches like sourdough. This course offers practical insights into the baking process, providing a thorough understanding of ingredients, equipment, and timing. By the end of the course, learners will have gained the skills necessary to create a variety of bread, enabling them to experiment with different flavours and textures in their baking endeavours. Course Description In this course, learners will be introduced to the fundamentals of bread making, beginning with an overview of the different types of bread. Key topics include essential baking equipment, ingredients, and the science behind fermentation. Participants will explore techniques such as creating a sourdough starter, using straight dough methods, and crafting an array of bread recipes. The course will also cover methods for adjusting recipes and perfecting the texture and flavour of each loaf. By the end, learners will have mastered the foundational skills needed to bake bread of various styles, enhancing their culinary capabilities and confidence in the kitchen. Course Modules Module 01: Introduction to Bread Making Module 02: Equipment Module 03: Basics of Baking Module 04: Basic Techniques Module 05: Make Your Own Sourdough Module 06: Making Bread Using Straight Dough Module 07: More Recipes (See full curriculum) Who is this course for? Individuals seeking to master bread making. Professionals aiming to enhance their culinary skills. Beginners with an interest in baking and cookery. Aspiring home bakers looking to diversify their skills. Career Path Baker Pastry Chef Cookery Instructor Artisan Bread Producer Food Production Specialist

Duration 1 Days 6 CPD hours This course is intended for This overview-level course is ideally suited for professionals seeking an introduction to microservices architecture and its application within a business context. Ideal attendee roles include software developers, system architects, technical managers, and IT professionals who are part of teams transitioning to a microservices approach. It's also an excellent starting point for non-technical roles such as product owners or business analysts who work closely with technical teams and want to better understand and become conversant in the language and principles of microservices. Overview This course combines engaging instructor-led presentations and useful demonstrations with engaging group activities. Throughout the course you'll explore: Understand the Basics of Microservices: Get to know the fundamental principles and characteristics of microservices and how they revolutionize traditional software development approaches. Explore the Design of Microservices: Gain an overview of how microservices are designed based on business requirements and what makes them unique in the software architecture world. Overview of Managing and Scaling Microservices: Get an introduction to how microservices are managed and scaled independently, and understand the significance of these features in your business operations. Familiarize with the Microservices Ecosystem: Learn about the typical patterns, best practices, and common pitfalls in the microservices world, setting a foundation for future learning and implementation. Introduction to Microservices in a Business Context: Acquire a basic understanding of how microservices can be aligned with specific business capabilities, and get a glimpse into how they can coexist with legacy systems in a business setting. Microservices have rapidly emerged as a popular architectural style, breaking down applications into small, independent services that can be developed, deployed, and scaled individually. Microservices offer a robust method to address a variety of projects, such as e-commerce platforms and content management systems, enhancing scalability and boosting productivity. This technology, when employed correctly, can greatly increase software delivery speed and system resilience, making it a crucial skill set for modern technology professionals.Understanding Microservices - A Technical Overview is a one-day course ideally suited for technical professionals seeking an introduction to microservices architecture and its application within a business context. Under the guidance of an industry expert, this engaging class combines lecture-style learning with lively demonstrations, case study review and group discussions.Throughout the course you?ll explore the principles and characteristics that define microservices, how to identify suitable projects for a microservices approach, the factors to consider when designing them, and the strategies to effectively manage and scale them within complex systems. You?ll also learn about the best practices, patterns, and anti-patterns, arming you with the knowledge to make the right architectural choices. This course also explores the real-world implementation of microservices in a business enterprise. We'll discuss how to align the application of microservices with your organization's specific business capabilities, and offer strategies for smoothly integrating this technology within existing legacy systems. Introduction to Microservices Understand what microservices are and their role in modern software development. Introduction to Microservices: what they are and why they matter. Monolithic vs Microservices: highlighting the shift and benefits. Key principles and characteristics of microservices. Identifying suitable applications for microservices transformation. Demo: Analyzing a sample application and identifying potential microservices Architecting and Managing Microservices Learn the basic strategies for scaling and managing microservices. Scaling Microservices: from a single service to hundreds. Key components of a microservices architecture. Introduction to resilience patterns: Circuit-Breakers and Bulkheads. Load management and provisioning in a microservices setup. Understanding the role of cloud services in microservices. Optional Demo: Illustrating how a microservice-based application scales in real-time Designing Microservices Learn the key aspects to consider when designing microservices. Defining microservice boundaries: Deciding the scope of a microservice. Communication patterns in microservices. Understanding Microservice endpoints. Exploring data stores and transaction boundaries in microservices. Overcoming challenges in Microservices design. Demo: Designing microservices for a hypothetical business requirement Implementing Microservices in a Business Enterprise Understand the process and considerations for implementing microservices in an enterprise context. Assessing enterprise readiness for microservices. Building the business case for microservices: strategic advantages and potential challenges. Aligning microservices with business capabilities. Organizational changes: Team structures and processes for microservices. Dealing with Legacy Systems: Strategies for microservices integration. Demo: Exploring a case study of successful microservices implementation in a business enterprise The Microservices Ecosystem Understand the key tools and best practices in the Microservices ecosystem. Understanding the typical Microservices Stack. Monitoring and Logging in Microservices. Introduction to Docker: Containerization of Microservices. Deployment strategies in a Microservices setup. Introduction to Orchestration in Microservices Demo: Containerizing and deploying a simple microservice Microservices Deployment Strategies Understand various ways to safely introduce changes in a microservices environment. The concept of Blue-Green Deployment: changing services without downtime. Canary Releases and Feature Toggles: slowly rolling out changes to users. Database changes in a microservices environment: keeping data consistent. Demo: Examining various deployment strategies Microservices Best Practices and DevOps Learn key strategies to ensure a smooth operation of your microservices setup. The DevOps culture in Microservices: collaboration for efficiency. Defining a Minimum Viable Product in a Microservices setup: building small, delivering fast. Dealing with data in a distributed setup: managing Data Islands. The importance of Continuous Integration/Continuous Delivery in a microservices setup. Governance: Keeping track of your services and their consumers. Demo: Visualizing a simple continuous delivery pipeline Microservices Patterns and Anti-Patterns Learn about common do's and don'ts when working with microservices. Understanding patterns that help with efficient microservices operation. Recognizing and avoiding anti-patterns that can hinder performance. Dealing with common challenges: dependencies between services, managing service boundaries. Demo: Examples of real-world patterns and anti-patterns Simple Overview of OAuth and OpenID for Microservices Introduction to OAuth and OpenID: What they are and why they matter in Microservices. The role of tokens in OAuth 2.0: How they help in securing communications. A simplified look at OpenID Connect: Linking identities across services. Demo

Who is this course for? Sketchup Artificial Intelligence Training Course. Mastering SketchUp Artificial Intelligence (AI) is essential for designers, offering automation, efficiency, and innovative solutions. It saves time, enhances visualizations, fosters collaboration, and future-proofs skills, ensuring a competitive edge in the design industry. Click here for more info: Website How to Book? 1-on-1 training. Customize your schedule from Mon to Sat from 9 am to 7 pm Call to book  Duration: 16 hours. Method: In-person or Live Online Sketchup and (Artificial Intelligence) Stable Diffusion Rendering Course (16 hours) Module 1: Sketchup Fundamentals (2 hours) Sketchup software overview and interface navigation Introduction to basic drawing tools and fundamental geometry creation techniques Module 2: Texturing and Material Mastery (2 hours) Application of textures and customization of materials Exploration of texture mapping and comprehensive material libraries Module 3: Illumination and Shadows (2 hours) Comprehending lighting principles and strategic light placement Crafting realistic shadows and reflections Module 4: Advanced Modeling Techniques (3 hours) Creating intricate shapes and harnessing advanced modeling tools Efficiently managing groups, components, and modifiers Module 5: Stable Diffusion Rendering (2 hours) Initiating stable diffusion rendering Optimizing rendering settings for superior outcomes Module 6: Scene Composition and Camera Configuration (2 hours) Exploring composition principles and camera perspectives Scene management and creation of captivating walkthrough animations Module 7: Rendering Optimization Strategies (2 hours) Techniques for optimizing models to expedite rendering Application of render passes and post-processing methods Module 8: Real-World Projects and Portfolio Building (1 hour) Application of acquired skills in completing authentic projects Professional portfolio presentation techniques Optional: Stable Diffusion and Python Installation (Additional 10 hours) Module 1: Introduction to Stable Diffusion and Python Comprehensive understanding of Stable Diffusion and Python's significance Module 2: System Prerequisites Hardware and software requirements for successful installation Module 3: Python Installation Guide Step-by-step installation process for various operating systems Module 4: Configuring Python Environment Configuration of environment variables and package managers Module 5: Stable Diffusion Installation Downloading and installing the Stable Diffusion package Module 6: Setting Up the Development Environment Configuration of integrated development environments (IDEs) for Python and Stable Diffusion Module 7: Troubleshooting and Common Issues Identification and resolution of common installation errors Module 8: Best Practices and Recommendations Effective management of Python and Stable Diffusion installations Module 9: Practical Applications and Projects Hands-on exercises exemplifying the practical usage of Stable Diffusion and Python Module 10: Advanced Topics (Optional) Exploration of advanced features and techniques Stable Diffusion https://stablediffusionweb.com https://stable-diffusion-ui.github.io https://stability.ai/stable-diffusion Upon successful completion of the Sketchup and Stable Diffusion Rendering Course with a focus on AI image rendering, participants will achieve the following: 1. Mastery of AI Image Rendering: Attain expertise in employing AI-powered rendering techniques to produce realistic and top-quality visualizations. 2. Proficiency in Sketchup for 3D Modeling: Navigate the software adeptly, utilize drawing tools with proficiency, and craft intricate 3D models. 3. Enhanced Rendering Optimization: Implement AI-based rendering to enhance model visuals, resulting in faster rendering times and superior image quality. 4. Application of AI-driven Lighting and Shadows: Employ AI algorithms for precise lighting placement, shadows, and reflections, elevating the realism of renderings. 5. Development of a Professional Portfolio: Present AI-rendered projects within a polished professional portfolio, highlighting advanced image rendering capabilities. 1. Mastering Sketchup: Attain proficiency in Sketchup, a renowned and user-friendly 3D modeling software, equipping you with the skills needed to adeptly create and manipulate 3D models. 2. Advanced Rendering Expertise: Explore stable diffusion rendering, an avant-garde technique that simplifies the creation of realistic and high-quality renderings. Broaden your rendering capabilities, producing visually stunning representations of your designs. 3. Practical Industry Applications: Cultivate practical skills relevant to diverse industries, encompassing architecture, interior design, product development, and visualization. Elevate your professional portfolio with captivating renderings that showcase your design prowess. 4. Interactive Learning: Participate in hands-on exercises and projects that promote active learning and the practical application of concepts. Benefit from personalized feedback and expert guidance, ensuring your continuous progress throughout the course. 5. Career Advancement: Elevate your career prospects by adding valuable skills to your toolkit. Proficiency in crafting detailed 3D models and impressive renderings through stable diffusion techniques opens doors to diverse job opportunities within the design and visualization sector. 6. Flexibility and Convenience: Access course materials online and learn at your own pace. Enjoy the flexibility of tailoring the coursework to your schedule, allowing you to harmonize your learning journey with other commitments. Course Advantages: Tailored Learning: Enjoy personalized 1-on-1 sessions, accommodating your schedule from Monday to Saturday, 9 am to 7 pm. Mastery of Sketchup: Develop proficiency in the widely-used and user-friendly 3D modeling software, enabling efficient creation and manipulation of 3D models. Advanced Rendering Proficiency: Acquire expertise in stable diffusion rendering for producing realistic, high-quality renderings that enhance the visual appeal of your designs. Practical Applicability: Develop practical skills applicable across diverse domains, including architecture, interior design, product development, and visualization, enriching your professional portfolio. Interactive Practical Experience: Engage in hands-on exercises with personalized guidance from seasoned instructors, ensuring consistent progress in your skillset. Career Progression: Boost your career opportunities by gaining valuable skills in 3D modeling and generating impressive renderings through stable diffusion techniques. Comprehensive Support: Benefit from free portfolio reviews, mock interviews, and career advice, providing additional resources to enhance your professional journey.

Sketchup face to face training customised and bespoke.

Virtual Revit face to face training customised and bespoke. One to One Online or Face to Face