If your organisation manages contractors then your staff need to understand the health and safety issues. This course is the answer. The expert trainer will set out clearly the legal responsibilities of all relevant parties and explore the practical application of these responsibilities with the course participants. The course will then examine the issues associated with the planning of work to be contracted out and the evaluation, selection, control and monitoring of contractors engaged to undertake the work. Although the main focus is on health and safety, the course will also explain how health and safety issues need to be integrated into your organisation's functional management processes to ensure effective control of contractors. The course will consider all types of contracted activities, including construction and maintenance, cleaning, security, plant installation, etc. This programme will give participants: A clear understanding of the organisation's legal responsibilities for managing contractors The information they need to assess the competence of contractors A practical understanding of risk assessment principles and the transfer of risk to contractors A step-by-step guide to the key aspects of managing contractors in practice, covering:Planning of the workSelecting contractorsHandover prior to work commencementDuring the workReviewing the work on completion Practical guidance on the integration of health and safety controls into organisational procedures for contractor management 1 Introduction Who are contractors? Why manage contractors? Different types of contractors Costs of poor contractor performance 2 Overview of health and safety law and liability Health and safety law and statutory duties Relevance of civil and criminal law Enforcement and prosecution 3 Relevant legislation for controlling contractors Health and Safety at Work Act 1974 Management of Health and Safety at Work Regulations 1999 Construction (Design and Management) Regulations 1994 (as amended, 2007) Other relevant legislation Contract law 4 Managing contractors in practice Exercise - how well is it happening? The objectives Five step approachPlanning of the workSelecting contractorsHandover prior to work commencementDuring the workReviewing the work on completion 5 Planning the work Scope and extent Risk assessment Interface and other activities Who controls what? Contract arrangements 6 Selecting the right contractor(s) Locating contractor organisations Selection the right contractors Assessing contractor competence Approved lists/frameworks Tender process 7 Pre-work commencement Co-ordination and co-operation Exchange of information Contractor risk assessments and method statements Permits to work Case study exercise 8 During contract work Communication and liaison Supervision and inspection of the work Inspection and reporting procedures Security issues Facilities and access 9 Reviewing work on completion Why, what and how? Achieving continuous improvement in contractor performance 10 Questions, discussion and review
Project Communication Skills: In-House Training Communication is the single most critical project success factor. When effective, projects get executed on time, within budget, and with objectives being met. But that isn't all. Strong communication also nurtures healthy team relationships. And in today's highly diverse world, where projects are often fast-paced, complex, and virtual, that is more important than ever. Strong communication skills foster cultural awareness, trust, and empathy. Together, they contribute greatly to project success-and ultimately, to future project success. In this course, participants will actively explore best communication practices from a variety of perspectives: in-person, virtual, electronic, and via formal project documentation. In order to be transformative, however, those perspectives will be filtered further through the lens of their formal, personalized assessment. It is a powerful tool which identifies individuals' internal needs and priorities. It translates those into descriptive profiles and reports, gifting users with valuable information about themselves and others. Paired with the course's real-world activities, it will provide uniquely strategic opportunities for communicating effectively and meaningfully-and with less conflict, both personally and professionally. What You Will Learn At the end of this program, you will be able to: Identify basic elements of communication and explain how they affect teams Explore how your assessment style impacts you and how you communicate with people of other styles Infer how your style impacts the way(s) you send and interpret emails and instant messages Analyze real world email and instant messaging practices to determine how they affect communication and relationships Explore best practices for formal project communications and presentations Analyze how your assessment style and global diversity can contribute to both strong team communication and conflict Identify solutions for virtual team work communication challenges Getting Started Foundation Concepts Communication as a foundation skill Elements of communication Communicating across media Targeting your audience How communication impacts team performance The Assessment Framework Overview of the assessment's approach Exploring assessment report Increasing your effectiveness with other assessment styles Email and Instant Messages Preferred communications and assessment styles The email brands we create Assessment styles and email Emotion and email Email guidelines and best practices Anatomy of an email The seven deadly email sins Instant messages and other interfaces Project Communications and Presentations Communicating across the project lifecycle Project templates Structuring a presentation Delivering a presentation Interpersonal and Team Communication Skills Communication styles and techniques Managing conflict in a project environment Styles and conflict Communication and global team leadership Virtual Communication Leading global virtual teams Virtual processes and technology Virtual team leadership
Immerse yourself in the ancient practice of yoga, a transformative journey that extends far beyond the mere physical postures. Our comprehensive yoga sessions are meticulously curated and led by seasoned professionals, offering a serene sanctuary tailored for the demands of modern-day professionals yearning for holistic balance and wellness. Delve into innate human abilities such as intuition, telepathy, clairvoyance, lucid dreaming, and energy healing. Uncover these dormant gifts existing within and enjoy awakening them fully.
CORPORATE TRAINING There are currently 13 million women going through menopause in the UK. 4.3 million of them are aged between 45-55 years old, which is the fastest growing demographic in the workforce SB Wellbeing provides training for companies who are serious about providing support for their female staff going through menopause. Also, up-skilling managers and leaders on what they need to know. Manager training includes what menopause is, how it can affect the individual at work, as well as the bigger picture of how it can impact the business, and how best to support them. Colleague training is for anyone going through menopause or supporting someone who is. It's fully inclusive and highly interactive. The two programmes can be run back to back or separately and be delivered via webinar or in-person. For more information and to book your training please get in touch. Here's what people are saying... " Thank you Sally for an amazing presentation yesterday – I had lots of the team say how good it was and how much they had learnt." - Leonard Design Architects, Nottingham "Just to say everyone absolutely loved training session 1!! The feedback from the second session was ace!! - Co-op Academy, Failsworth "Open & frank conversation. Very factual and a great all round guide" - tp bennett, London "The more staff that have this training the better, especially principle/director level." - tp bennett, London
Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines
3DS MAX AND AFTER EFFECTS ONE DAY face to face training customised and bespoke. Online or Face to Face
Duration 1 Days 6 CPD hours This course is intended for The Power BI in a Day course is designed for beginners and intermediate users of Power BI. Overview #NAME? Students will discover the full capabilities of Power BI in a one-day, hands-on workshop. Please Note: This workshop is primarily self-directed and students will work at their own pace while having access to an instructor for questions. 1 - Accessing & Preparing data Data Set Power BI Desktop Power BI Desktop ? Accessing Data Power BI Desktop ? Data Preparation 2 - Data Modeling and Exploration Power BI Desktop ? Data Modeling and Exploration Power BI Desktop ? Data Exploration Continued References 3 - Data Visualization Power BI Desktop Power BI Desktop ? Data Visualization References 4 - Publishing & Accessing Reports Power BI Desktop ? Creating Mobile View Power BI Service Power BI Service ? Publishing Report Power BI Mobile ? Accessing Report on Mobile Device Power BI Service ? Collaboration and Distribution References 5 - Dashboard and Collaboration Power BI Service Building Dashboard References Additional course details: Nexus Humans Power BI: Dashboard in a Day 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 Power BI: Dashboard in a Day 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 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 6 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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 AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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.
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