1744 Master courses delivered Live Online

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

Join Dr. Louise Schofield and Bronwyn Hudson from PREKURE in an insightful webinar as they delve into the transformative world of the coach approach to mental health. This session will explore the essence of the coach approach, shedding light on its significance in fostering mental fitness and supporting clients to thrive. The webinar will cover an introduction to mental health first aid for coaches, a toolkit of lifestyle strategies that can be seamlessly integrated into mental health coaching practices and a brief introduction to the powerful tools and techniques rooted in acceptance and commitment therapy. Participants will gain valuable insights into how these tools can be employed to facilitate positive change and promote mental fitness for clients. By the end of the session, attendees will be equipped with actionable tools that they can immediately apply in their own lives and seamlessly incorporate into their coaching practices. Don't miss this opportunity to elevate your understanding of the coach approach to mental health and enhance your ability to support the well-being of yourself and others. Learning Insights/Outcomes: Define the coach approach to mental health. Explain how you can work with clients to foster mental fitness. List the tools and techniques in a mental health coaching toolbox. This webinar would be suitable for coaches interested in incorporating mental health tools into their coaching and learning about the “coach approach” to mental health. About the hosts Dr Louise Schofield (PhD) – Louise Schofield is the co-founder and CEO of PREKURE, a purpose driven health education and training provider that exists to inspire the medical profession to become more focused on disease prevention. With a PhD in behaviour change, Louise is a successful entrepreneur. Prior to establishing PREKURE she spent 15 years leading businesses in the corporate wellbeing industry and developing behaviour change programs to achieve positive wellbeing outcomes. Louise’s mission is to inspire a change in medicine to be more preventative in focus. She is passionate about eliminating the over-prescribing of medication that offers little or no benefit, poor nutritional advice and programs which don’t work, and for the medical community to embrace a preventative, lifestyle medicine approach. Bronwyn Hudson – Bronwyn holds a Master's degree in Personalised Nutrition and is a PREKURE Certified Mental Health Coach. Bronwyn works in private clinical practice where she uses a whole-person, lifestyle medicine approach to coaching and supporting clients to connect the dots between food and mood, so they can experience more calm and connection with themselves and others. She can also be found delivering keynote presentations and workshops to corporate clients and organisations.

The aim of this course is to provide an overview of the principles and practice for leading and managing a portfolio of smaller projects in a multi-project / multi-task environment. It presents a range of practical methods and techniques relevant to the smaller project scenario, using exercises and case studies to show how these can be applied. The scope of the programme includes: The course also emphasises the importance of the leadership and team-working skills needed by project managers and team members in carrying out their roles. The principal training objectives for this programme are to: Explain and demonstrate the key principles of successful project management Demonstrate a range of useful project management tools and techniques Define the role, and help participants understand the skills required by, the project leader Provide a structured framework to help participants manage multiple projects Identify opportunities to improve project management within the organisation DAY ONE 1 Introduction (Course sponsor) Why this programme has been developed Review of participants' needs and objectives 2 Managing smaller projects Projects and project management Lessons from past projects; the essential requirements for success Differences between projects; characteristic project life cycles Key issues and challenges of smaller projects The multi-project world; project portfolio management 3 Project exercise Syndicate teams plan and manage a small project Review of the project exercise: What are the keys to successful management of small projects? 4 Setting up the project Getting organised Managing the definition process Identifying and managing project stakeholders Working with the customer to define the scope and agree deliverables 5 Case study 1 Defining the project scope and deliverables Syndicate teams define the scope and deliverables for a typical project 6 Project planning The importance and cost benefit of effective planning Planning the plan; deciding how detailed a plan to create Packaging the work and estimating timescales and costs Developing project / resource schedules; setting milestones for control v Identifying and managing critical path activities 7 Case study 2 Creating the project plan Syndicate teams develop and analyse the project plan DAY TWO 8 Managing project risks Identifying risks to the project outcome, timescale and cost Evaluating risks and adopting an appropriate risk strategy Defining risk ownership; keeping a simple risk log Keeping risk management up to date; staying pro-active Integrating planning and risk management 9 Project control Managing change, minimising scope creep Selecting the data needed to provide early warning of problems Monitoring performance easily with 'S' curves and slip charts Using trend forecasting to assess true project status Running project review meetings 10 Managing a multi-project portfolio Understanding the world of multiple projects Establishing ownership of project / programme management Classifying projects and creating the 'master schedule' Defining and applying project lifecycle management Resource management: essential pre-requisites and mechanisms Project prioritisation criteria and techniques; pain / gain analysis 11 Managing the multi-project team Characteristics of small project teams / part-time team membership Clarifying line and project management responsibilities Implementing effective manpower planning Establishing professional working practices in the team Developing project management competences in the team Establishing team roles and integrating team members 12 Course review and transfer planning (Course sponsor present) Identify actions to be implemented individually Identify corporate opportunities for improving project management Sponsor-led review and discussion of proposals Conclusion

Meditation, mindfulness and emotional mastery for Healing Relationships

Duration 2 Days 12 CPD hours Overview Working in a hands-on learning environment guided by our expert practitioner, students will explore: Introduction to Continuous Integration, Continuous Deployment and Jenkins-CI Installing and Running Jenkins Job Types in Jenkins Securing Jenkins Jenkins Plugin Distributed Builds with Jenkins Continuous Deployment and the Jenkins Pipeline Best Practices for Jenkins Introduction to Jenkins is a two-day, lab intensive hands-on training course geared for experienced programmers who need to learn how to:Install and configure Jenkins in a servlet containerCreate Jenkins buildsConfigure and use Apache Ant and Apache Maven with JenkinsUse Jenkins to generate Java coding standards reports, code coverage reports, and change noticesUse Jenkins to automatically deploy software into a testing environment. Introduction to Continuous Integration, Continuous Deployment and Jenkins-CI Agile Development Agile Development (cont'd) What is Continuous Integration What is Continuous Integration (cont'd) What is Continous Integration (cont'd) Typical Setup for Continuous Integration Continuous Deployment Continuous Deployment (cont'd) DevOps and Continuous Deployment Continuous Deployment Challenges Jenkins Continuous Integration Jenkins Features Running Jenkins Installing and Running Jenkins Downloading and Installing Jenkins Running Jenkins as a Stand-Alone Application Running Jenkins as a Stand-Alone Application (cont'd) Running Jenkins on an Application Server The Jenkins Home Folder Installing Jenkins as a Windows Service Initial Configuration Configuration Wizard Configuration Wizard (cont'd) Configuring Tools Configuring Tools - Best Practices Job Types in Jenkins Different types of Jenkins Items Different types of Jenkins Items (cont'd) Configuring Source Code Management(SCM) Working with Subversion Working with Subversion (cont'd) Working with Git Storing Credentials Storing Credentials (cont'd) Build Triggers Schedule Build Jobs Polling the SCM Maven Build Steps Securing Jenkins Jenkins Security - Overview Jenkins Security Authentication Authorization Confidentiality Activating Security Configure Authentication Using Jenkins's Internal User Database Creating Users Authorization Matrix-Based Security Note ? Create the Administrative User Project-based Matrix Authorization Project-Based Authentication Jenkins Plugin Introduction Jenkins Plugins - SCM Jenkins Plugins ? Build and Test Jenkins Plugins ? Analyzers Jenkins for Teams Installing Jenkins Plugins Distributed Builds with Jenkins Distributed Builds - Overview Distributed Builds ? How? Slave Machines Configure Jenkins Master Configure Projects Continuous Deployment and the Jenkins Pipeline Continuous Deployment Continuous Deployment (cont'd) DevOps and Continuous Deployment Continuous Deployment Challenges Continuous Deployment with Jenkins The Pipeline Plugin The Pipeline Plugin (cont'd) Defining a Pipeline A Pipeline Example Pipeline Example (cont'd) Parallel Execution Creating a Pipeline Invoking the Pipeline Interacting with the Pipeline Best Practices for Jenkins Best Practices - Secure Jenkins Best Practices - Backups Best Practices - Reproducible Builds Best Practices - Testing and Reports Best Practices - Large Systems Best Practices - Distributed Jenkins Additional course details: Nexus Humans Introduction to Jenkins / Jenkins Quick Start (TTDV7520) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Jenkins / Jenkins Quick Start (TTDV7520) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is for network and system administrators, IT managers, IT support personnel, and other network operations staff who are responsible for deploying new computers across their organizations, managing ongoing software and hardware configuration tasks for computers, and retiring outdated computers. Overview By the completion of this course, you will be able to: Install and configure Ghost Solution Suite 3.0. Use the Ghost Console to create and use jobs and tasks to manage computes. Configure image deployments. Manage ?unknown? and predefined computers. Perform disk wipes and create disk partitions. Create Windows scripted OS installations. Create PC transplant templates. Capture a computer personality, and deploy personality packages. Perform a computer migration from Win 7 to Win 8.1. This course is designed for the professional tasked with installing, configuring, and managing a Deployment Solution system. Overview of Endpoint Lifecycle Management Introduction to Endpoint Lifecycle Management Phases of Endpoint Lifecycle Management ELM Business Objectives and Goals ELM Solution Mapping to Business Objectives Ghost Solution Suite 3.0 Product Overview Implementation Assessment ELM Requirements Gathering Solution Analysis of ELM Requirements Implementation Design GSS 3.0 Technical Overview Installation Options and Prerequisites Defining the Solution Infrastructure Defining the ELM Solution Configuration Installation and Configuration of the ELM Solution Base Software Installation Navigating the Console Core & Solution Configuration Driver Management Pre-boot Environment Endpoint Identification & Gathering IT Requirements Overview Analyzing and Defining IT Requirements Using ELM to Forecast IT Requirements Endpoint Configuration Standards Endpoint Standards Overview Defining Endpoint Standards Implementation of Endpoint Standards Endpoint Provisioning Endpoint Provisioning Overview Standard Build and Image Methodology Software Compatibility Analysis Software Packaging requirements for use in the ELM Solution Software Quality Assurance Methodology Endpoint Deployment & Staging Endpoint Lifecycle Automation Endpoint Lifecycle Automation Scenario Exercise Backup and restore Automating the backup of a computer image Scripted OS Installation Capturing an image for deployment Automating the creation of a master image Automating the deployment of computer images Software Distribution Software Delivery Methods Software Installation Methods Understanding Software Delivery Reporting and Analysis of Software Distribution Tasks Image and Build Maintenance Image maintenance overview Restoring a computer image Capturing the updated image Updating Jobs Managing Software Upgrades Software Upgrade Process Overview Distribution of Software Updates Supporting the Business Ensuring Business Continuity in an ELM System Endpoint Restoration/Recovery Managing Service Support Activities Endpoint Monitoring & Alerting Endpoint Configuration & Maintenance Automating Problem Resolution Application Self-Healing Desired State Management Hardware Refresh & Migration Hardware Refresh & Migration Process Overview Personality Capture and Restore Gathering Current State Inventory for Requirements and Planning Activities Performing Data capture and storage activities Gathering User state or PC personality information Automating the Migration Process Endpoint Retirement/Disposal Ensuring Compliant Disposal Methods and Procedures End to End Endpoint Lifecycle Use Case Endpoint Management Lifecycle Use Case for GSS Additional course details: Nexus Humans Symantec Ghost Solution Suite 3.0 - Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Symantec Ghost Solution Suite 3.0 - Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Applied AI: Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Why choose SketchUp Basic to Intermediate Training Course? Click for more info SketchUp offers a user-friendly experience with its intuitive interface, enabling beginners to start smoothly and professionals to work efficiently. The software provides straightforward tools and shortcuts, ensuring precise and speedy creation of 3D models. Duration: 5 hrs Method: 1-on-1, Personalized attention 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 SketchUp is a popular and robust CAD solution designed for engineers, designers, architects, and more. Its powerful suite of tools includes customizable palettes, lighting effects, animations, textures, and access to the Trimble 3D warehouse. SketchUp Basic Training Course. 1 on 1 Training. 5 hours Understanding the Basics of SketchUpIntroduction to SketchUpNavigating the SketchUp EnvironmentExploring Zoom, Pan, and Rotate FunctionsFamiliarizing Yourself with the XYZ Axis Mastering SketchUp ToolsEfficient Toolbar SelectionsUtilizing Templates for ProjectsDrawing with Precision Using the Pencil ToolWorking with Fundamental Geometric ShapesTaking Accurate Measurements Advanced SketchUp TechniquesCreating Circles and ArcsHarnessing Sticky Geometry SolutionsUnveiling the Power of Tags (Formerly Layers)Streamlining Workflow with Keyboard ShortcutsAccurate Object Measurement within SketchUpInformation Management and Database UsageMoving and Copying ObjectsSimple Array TechniquesMastering Rotational ManipulationsEffortless Rotational CopyingFractional and Relative Scaling Component and Group CreationConstructing Components for ReusabilityCreating Efficient GroupsComparing the Advantages of Components and GroupsSaving and Reusing ComponentsImporting Components from Digital Repositories Advanced Modeling and GeometryLeveraging Push-Pull OperationsCreating Complex Shapes with the Follow Me ToolExploring Geometry IntersectionsDuplicating and Offsetting Faces, Edges, and PolygonsIncorporating 2D Polygons into Your DrawingsSkillful Use of the Paint Bucket Tool Materials and TexturesProficiency with the Materials EditorApplying High-Quality TexturesSourcing and Positioning TexturesGraphics and Bitmap ConsiderationsCrafting Scenes and StylesGenerating and Customizing ScenesManaging Scenes and Styles Introduction to Animation and PresentationAnimation ConceptsAdding Dimensions to Your SketchUp ModelsAnnotating Designs for ClarityPreparing Models for PrintingExporting Images and PDFs in 2D Formats

Are you suffering from back pain? Has your doctor suggested you join a yoga class? If so, these masterclasses are for you. Our increasingly sedentary lives have contributed greatly to the back pain epidemic spreading across the Western world, which affects 8 out of 10 of us at some point during our lives. Join us for this series of classes to improve your understanding of your anatomy and make lasting improvements to your posture and movement, changing your experience of movement on the yoga mat and in everyday life.