171 PIP courses delivered Live Online

For new users and the curious. Hello, For new users and the curious. IMPORTANT: Firstly, once you are signed up, send us your requests on what you would like to see within the demonstration and learn on the course. We will then cater for your needs and answer them during the session. This is designed to be an introduction into how to start a room by room survey using the Heat Engineer app, then sending this survey to the online dashboard. We will then go through the different steps to complete this heat loss report. Optional pages will also be worked through and shown. Examples of how to select the flow temperature and the heat source (heat pumps and boilers) will be presented once the heat loss result is completed.

For new users and the curious. Hello, For new users and the curious. IMPORTANT: Firstly, once you are signed up, send us your requests on what you would like to see within the demonstration and learn on the course. We will then cater for your needs and answer them during the session. This is designed to be an introduction into how to start a room by room survey using the Heat Engineer app, then sending this survey to the online dashboard. We will then go through the different steps to complete this heat loss report. Optional pages will also be worked through and shown. Examples of how to select the flow temperature and the heat source (heat pumps and boilers) will be presented once the heat loss result is completed.

For new users and the curious. Hello, For new users and the curious. IMPORTANT: Firstly, once you are signed up, send us your requests on what you would like to see within the demonstration and learn on the course. We will then cater for your needs and answer them during the session. This is designed to be an introduction into how to start a room by room survey using the Heat Engineer app, then sending this survey to the online dashboard. We will then go through the different steps to complete this heat loss report. Optional pages will also be worked through and shown. Examples of how to select the flow temperature and the heat source (heat pumps and boilers) will be presented once the heat loss result is completed.

For new users and the curious. Hello, For new users and the curious. IMPORTANT: Firstly, once you are signed up, send us your requests on what you would like to see within the demonstration and learn on the course. We will then cater for your needs and answer them during the session. This is designed to be an introduction into how to start a room by room survey using the Heat Engineer app, then sending this survey to the online dashboard. We will then go through the different steps to complete this heat loss report. Optional pages will also be worked through and shown. Examples of how to select the flow temperature and the heat source (heat pumps and boilers) will be presented once the heat loss result is completed.

For new users and the curious. Hello, For new users and the curious. IMPORTANT: Firstly, once you are signed up, send us your requests on what you would like to see within the demonstration and learn on the course. We will then cater for your needs and answer them during the session. This is designed to be an introduction into how to start a room by room survey using the Heat Engineer app, then sending this survey to the online dashboard. We will then go through the different steps to complete this heat loss report. Optional pages will also be worked through and shown. Examples of how to select the flow temperature and the heat source (heat pumps and boilers) will be presented once the heat loss result is completed.

Find ease in your posture and your natural balance on this 6 week online Yoga course with Pippa Graham. This is an experiential course that will bring awareness to the key postural structures in your body and integrate a new understanding of alignment and sensation.

​Learn how to make your very own candles with essential oils, fragrances & colour dyes, using 100% pure eco-soywax. You will learn about the different types of wax, oils, wicks and the methods to making beautiful candles.

Develop Big Data Pipelines with R, Sparklyr & Power BI Course Overview: This course offers a comprehensive exploration of building and managing big data pipelines using R, Sparklyr, and Power BI. Learners will gain valuable insight into the entire process, from setting up and installing the necessary tools to creating effective ETL pipelines, implementing machine learning techniques, and visualising data with Power BI. The course is designed to provide a strong foundation in data engineering, enabling learners to handle large datasets, optimise data workflows, and communicate insights clearly using visual tools. By the end of this course, learners will have the expertise to work with big data, manage ETL pipelines, and use Sparklyr and Power BI to drive data-driven decisions in various professional settings. Course Description: This course delves into the core concepts and techniques for managing big data using R, Sparklyr, and Power BI. It covers a range of topics including the setup and installation of necessary tools, building ETL pipelines with Sparklyr, applying machine learning models to big data, and using Power BI for creating powerful visualisations. Learners will explore how to extract, transform, and load large datasets, and will develop a strong understanding of big data architecture. They will also gain proficiency in visualising complex data and presenting findings effectively. The course is structured to enhance learners' problem-solving abilities and their competence in big data environments, equipping them with the skills needed to manage and interpret vast amounts of information. Develop Big Data Pipelines with R, Sparklyr & Power BI Curriculum: Module 01: Introduction Module 02: Setup and Installations Module 03: Building the Big Data ETL Pipeline with Sparklyr Module 04: Big Data Machine Learning with Sparklyr Module 05: Data Visualisation with Power BI (See full curriculum) Who is this course for? Individuals seeking to understand big data pipelines. Professionals aiming to expand their data engineering skills. Beginners with an interest in data analytics and big data tools. Anyone looking to enhance their ability to analyse and visualise data. Career Path: Data Engineer Data Analyst Data Scientist Business Intelligence Analyst Machine Learning Engineer Big Data Consultant

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS 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 The Machine Learning Pipeline on AWS 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.

Course Overview The Complete Front-End Web Development Course! offers a comprehensive journey through the essential skills and knowledge required to excel in the field of web development. Covering foundational and advanced topics in HTML, CSS, JavaScript, jQuery, and Bootstrap, this course is designed to equip learners with a strong understanding of front-end technologies. Through structured learning and carefully crafted projects, participants will build confidence in creating dynamic and visually appealing websites. By the end of the course, learners will possess the technical skills and creative insight needed to produce professional-grade web interfaces and interactive experiences. Whether aiming to launch a new career, enhance existing knowledge, or develop a portfolio of work, students will emerge with capabilities that are highly valued in the modern digital landscape. Course Description This course delves deeply into the fundamentals and advanced aspects of front-end web development, starting with the core principles of HTML and CSS before progressing into JavaScript, jQuery, and Bootstrap frameworks. Learners will explore how to structure web pages, style them effectively, and implement interactivity to enhance user experience. Throughout the modules, participants will engage with real-world concepts, build functional projects, and understand the relationships between various web technologies. The curriculum has been thoughtfully curated to ensure a progressive learning journey, empowering students with the ability to create responsive, accessible, and modern websites. From coding basic layouts to constructing browser extensions, each step is designed to broaden technical fluency and creative problem-solving skills. Upon completion, learners will have acquired a robust skill set applicable to numerous roles within the technology and design sectors. Course Modules Module 01: Welcome to the course! Module 02: Web Development Basics - HTML Module 03: Advanced HTML Concepts Module 04: Introduction to Cascading Style Sheets (CSS) Module 05: Advanced CSS Module 06: JavaScript for Beginners Module 07: More JavaScript Concepts Module 08: Getting Started with jQuery Module 09: More jQuery Module 10: Bootstrap Basics Module 11: Project #2 - Pipboy from Fallout 4 Module 12: Project #3 - Google Chrome Extension Module 13: Final Thoughts Module 14: BONUS - Coding Another Google Chrome Extension (See full curriculum) Who is this course for? Individuals seeking to build a strong foundation in web development. Professionals aiming to enhance their career prospects in the digital industry. Beginners with an interest in web design and front-end technologies. Career changers looking to enter the field of web development. Students wishing to expand their technical skill set for future opportunities. Career Path Front-End Web Developer Junior Web Developer UI/UX Developer HTML/CSS Developer JavaScript Developer Web Designer Technical Assistant within a digital agency Freelance Web Developer