1927 Environment courses in Cardiff delivered Live Online

BOHS P304 is designed to give practical guidance on assessing the health risks caused by hazardous substances, in order to meet the requirements of the Control of Substances Hazardous to Health (COSHH) Regulations 2002 for a 'suitable and sufficient' risk assessment.

Duration 1 Days 6 CPD hours This course is intended for To ensure success, students will need to be familiar with using personal computers and should have experience using a keyboard and mouse. Students should also be comfortable working in the Windows 10 environment and be able to manage information on their computers. Overview Upon successful completion of this course, you will be able to understand how Office 365 might be used to increase productivity and collaboration within your organization. This course is intended for students who wish to be introduced to Office 365. This course aims to provide an overview of 365, its applications and tools. Getting Started with Office 365 An Introduction to Office 365 Navigate the Online User Interface Your Account, Personal Profile, Apps Use Help Personal Communications Outlook, Calendar and People Outlook Online Essentials Online Calendar Essentials People Online Essentials Information and File Sharing OneDrive for Business Overview SharePoint Online Overview Creating and Co-authoring using Online Apps Team Communications Skype for Business Yammer

The leadership role of the project manager is increasingly recognised as a key determinant in delivering success. These skills can often be critical in project situations, where tight budgets and deadlines demand the highest levels of team performance and where the working environment presents fresh challenges on a daily basis. This programme focuses on the leadership skills required of project managers and will benefit anyone involved in managing projects large or small wishing to extend or enhance those skills. The objectives of this programme are to help the participants: Understand the significance of leadership skills to the project manager and the impact of these skills on project performance Review the key skills needed to be an effective 'multi-dimensional' project leader and learn how to develop, adapt and apply them in practice Learn how to identify the preferred leadership style for the context and organisational culture of a project and how to develop personal style versatility Understand the role of the project leader in building an effective team and the skills required to promote and sustain team performance Gain a better understanding of the interpersonal skills needed to motivate individual team members and harness the full potential of the team DAY ONE 1 Introduction Aims and objectives Personal objectives 2 Project management and leadership What is a leader? How much can leadership be learned? The project environment and the impact of leadership skills The characteristics of high performance project teams and their leaders 3 Principles of effective leadership Some useful models and theories of leadership explored Types of leadership; choosing how to use leadership power Evaluating personal leadership style; how to develop style flexibility 4 Syndicate case study: Leadership in action Review of the role of leadership in a contemporary project Feedback and plenary discussion: effective project leadership 5 Team exercise: Leadership skills of the project manager Teams compete in performing a project simulation Project review and feedback Discussion of the outcome: role and skills of the project leader 6 Leadership skills for project managers The 3 dimensions of project leadership: inwards, outwards, and upwards The vital role of communication skills and how to develop them Developing a 'project vision': strategic thinking skills Understanding others; emotional intelligence skills Being a visible leader; behavioural and influencing skills Building effective relationships; the importance of trust and respect DAY TWO 7 Leading the project team The role of leadership in developing team performance Understanding individual strengths; recognising team role preferences Managing conflict and promoting positive team dynamics Setting standards, maintaining discipline and rewarding performance Harnessing team potential: building motivation within the team Promoting team learning; the team leader as coach / mentor 8 Leading through the organisation Gaining the support others; developing effective influencing skills Getting empowerment from key stakeholders Knowing when and how to take the initiative and lead Building and maintaining rapport with key partners Becoming an effective team player in leadership teams Becoming a business leader; leading colleagues and co-workers 9 Team exercise: Leadership and negotiation Teams engage in a negotiation exercise Exercise review and feedback Discussion of the outcome: negotiation skills of the project leader 10 Negotiation skills for project leaders Characteristics of effective negotiators Classic problem behaviours and mind-sets to avoid Getting to win-win; building partnership and trust 11 Leading more senior stakeholders The challenges and skills of leading and managing upwards Communicating with more senior stakeholders; building credibility Negotiating upwards: knowing when and how The role of networking skills; building and maintaining rapport Handling disagreements; the art of diplomacy Handling personality and style conflicts with more senior people

Transform stress into strength with this 4-week course, enhancing resilience, emotional skills, and effective communication for professionals.

Discover how to elevate your career as an executive assistant or personal assistant with our comprehensive EA Mastery Workshop. Gain new skills, strategies, and tools to maximize your impact and achieve success.

Innovation Project Management: Virtual In-House Training Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. Innovation is needed and someone must manage these innovation projects. Over the past two decades, there has been a great deal of literature published on innovation and innovation management. Converting a creative idea into reality requires projects and some form of project management. Unfortunately, innovation projects, which are viewed as strategic projects, may not be able to be managed using the traditional project management philosophy we teach in our project management courses. There are different skill sets needed, different tools, and different life-cycle phases. Innovation varies from industry to industry and even companies within the same industry cannot come to an agreement on how innovation project management should work. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. What you Will Learn Explain the links needed to bridge innovation, project management, and business strategy Describe the different types of innovation and the form of project management each require Identify the differences between traditional and innovation project management, especially regarding governance, human resources management challenges, components of an innovative culture and competencies needed by innovation project managers Establish business value and the importance of new metrics for measuring and reporting business value Relate innovation to business models and the skills needed to contribute in the business model development Recognize the roadblocks affecting innovation project management and their cause to determine what actions can be taken Determine the success and failure criteria of an innovation project Foundation Concepts Understanding innovation Role of innovation in a company Differences between traditional (operational) and strategic projects Innovation management Differences between innovation and R&D Differing views of innovation Why innovation often struggles Linking Innovation Project Management to Business Strategy The business side of innovation project management The need for innovation targeting Getting close to the customers and their needs The need for line-of-sight to the strategic objectives The innovation enterprise environmental factors Tools for linking Internal Versus External (Co-creation) Innovation Open versus closed innovation Open innovation versus crowdsourcing Benefits of internal innovation Benefits of co-creation (external) innovation Selecting co-creation partners The focus of co-creation The issues with intellectual property Understanding co-creation values Understanding the importance of value-in-use Classification of Innovations and Innovation Projects Types of projects Types of innovations Competency-enhancing versus competency-destroying innovations Types of innovation novelty Public Sector of Innovation Comparing public and private sector project management Types of public service innovations Reasons for some public sector innovation failures An Introduction to Innovation Project Management Why traditional project management may not work The need for a knowledge management system Differences between traditional and innovation project management Issues with the 'one-size-fits-all' methodology Using end-to-end innovation project management Technology readiness levels (TRLs) Integrating Kanban principles into innovation project management Innovation and the Human Resources Management Challenge Obtaining resources Need for a talent pipeline Need for effective resource management practices Prioritizing resource utilization Using organizational slack Corporate Innovation Governance Types of innovation governance Business Impact Analysis (BIA) Innovation Project Portfolio Management Office (IPPMO) Using nondisclosure agreements, secrecy agreements, confidentiality agreements, and patents Adverse effects of governance decisions Innovation Cultures Characteristics of a culture for innovation Types of cultures Selecting the right people Linking innovation to rewards Impact of the organizational reward system Innovation Competencies Types of innovation leadership The need for active listening Design thinking Dealing with ambiguity, uncertainty, risks, crises, and human factors Value-Based Innovation Project Management Metrics Importance of innovation project management metrics Understanding value-driven project management Differences between benefits and value - and when to measure Traditional versus the investment life cycle Benefits harvesting Benefits and value sustainment Resistance to change Tangible and intangible innovation project management metrics Business Model Innovation Business model characteristics Impact of disruptive innovation Innovation Roadblocks Roadblocks and challenges facing project managers Ways to overcome the roadblocks Defining Innovation Success and Failure Categories for innovation success and failure Need for suitability and exit criteria Reasons for innovation project failure Predictions on the Future of Innovation Project Management The Six Pillars of changing times Some uses for the new value and benefits metrics

Mindfulness is a practical technique for developing a greater sense of awareness and focus on the present moment. It is the opposite of mindlessness, meaning that actions and reactions become conscious and deliberate. It is an extremely useful tool for any busy work environment. Currently being used by the likes of Google and Pepsi, mindfulness can be adopted within the workplace to reduce stress and anxiety, provide greater focus and clarity, improve leadership capabilities and enhance the general wellbeing of staff at all levels. This workshop has been developed for forward-thinking organisations wanting to make a real and sustainable commitment to improving workplace wellbeing and productivity. This workshop will help you to understand the basic principles and benefits of mindfulness, and how it can be used in the workplace setting. It will also enable you to develop techniques to alleviate overwhelming feelings of stress or anxiety, prepare for important or challenging meetings, and generally achieve a greater sense of focus, clarity and calm whilst dealing with a hectic schedule.

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators, system engineers, and system integrators Overview By the end of the course, you should be able to meet the following objectives: Configure and manage vSphere networking and storage for a large and sophisticated enterprise Use VMware vSphere Client™ to manage certificates Use Identity Federation to configure VMware vCenter Server to use external identity sources Use VMware vSphere Trust Authority™ to secure the infrastructure for encrypted VMs Use host profiles to manage VMware ESXi™ host compliance Create and manage a content library for deploying virtual machines Manage VM resource usage with resource pools Monitor and analyze key performance indicators for compute, storage, and networking resources for ESXi hosts Optimize the performance in the vSphere environment, including vCenter Server This five-day course teaches you advanced skills for configuring and maintaining a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you configure and optimize the VMware vSphere© 7 features that build a foundation for a truly scalable infrastructure, and you discuss when and where these features have the greatest effect. Attend this course to deepen your understanding of vSphere and learn how its advanced features and controls can benefit your organization. As an exclusive benefit, those who participate in this course will receive additional premium recorded lecture material on vSphere security. Course Introduction Introductions and course logistics Course objectives Network Scalability Configure and manage vSphere distributed switches Describe how VMware vSphere© Network I/O Control enhances performance Explain distributed switch features such as port mirroring and NetFlow Storage Scalability Explain why VMware vSphere© VMFS is a high-performance, scalable file system Explain VMware vSphere© Storage APIs - Array Integration, VMware vSphere© API for Storage Awareness?, and vSphere APIs for I/O filtering Configure and assign virtual machine storage policies Create VMware vSAN? storage policies Recognize components of the VMware vSphere© Virtual Volumes? architecture Configure VMware vSphere© Storage DRS? and VMware vSphere© Storage I/O Control Host and Management Scalability Use the vSphere Client to manage vSphere certificates Describe identity federation and recognize its use cases Configure identity federation to allow vCenter Server to use external identity provider Describe the benefits and use cases of vSphere Trust Authority Configure vSphere Trust Authority Use host profiles to manage ESXi configuration compliance Create a local content library and subscribe to a published content library Deploy VMs from a content library Create and manage resource pools in a cluster Describe how scalable shares work CPU Optimization Explain the CPU scheduler operation and other features that affect CPU performance Explain NUMA and vNUMA support Use esxtop to monitor key CPU performance metrics Memory Optimization Explain ballooning, memory compression, transparent page sharing, and host-swapping techniques for memory reclamation when memory is overcommitted Use esxtop to monitor key memory performance metrics Storage Optimization Describe storage queue types and other factors that affect storage performance Discuss vSphere support for NVMe and iSER technologies Use esxtop to monitor key storage performance metrics Network Optimization Explain performance features of network adapters Explain the performance features of vSphere networking Use esxtop to monitor key network performance metrics vCenter Server Performance Optimization Describe the factors that influence vCenter Server performance Use VMware vCenter© Server Appliance? tools to monitor resource use Supplemental Content Appendix A: vSphere Auto Deploy Explain the purpose of VMware vSphere© ESXi ? Image Builder CLI Explain the purpose of VMware vSphere© Auto Deploy? Describe how an autodeployed ESXi host boots Configure a vSphere Auto Deploy environment Appendix B: vSphere Security Configure ESXi Host Access and Authentication Recognize strategies for securing vSphere components, such as vCenter Server, ESXi hosts, and virtual machines Describe vSphere support for security standards and protocols Describe virtual machine security features Describe the components of a VM encryption architecture Create, manage, and migrate encrypted VMs Encrypt core dumps List VM encryption events and alarms

Duration 5 Days 30 CPD hours This course is intended for Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to: ? Create working Python scripts following best practices ? Use python data types appropriately ? Read and write files with both text and binary data ? Search and replace text with regular expressions ? Get familiar with the standard library and its work-saving modules ? Use lesser-known but powerful Python data types ? Create 'real-world', professional Python applications ? Work with dates, times, and calendars ? Know when to use collections such as lists, dictionaries, and sets ? Understand Pythonic features such as comprehensions and iterators ? Write robust code using exception handling An introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features. An Overview of Python What is python? 1 -- An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Built-in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings The standard library The sys module Launching external programs Math functions Random numbers The string module Reading CSV data Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the file system Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc

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.