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What is a Clinical Will? A clinical will is an arrangement is in place to manage closure of their clinical practice in the event of their serious illness, death, suspension, dismissal or other sudden clinical incapacity. Professional bodies are increasingly insisting on clinical wills being in place for all therapists as a condition of accreditation. What are the new BABCP Requirements on Clinical Wills and When do they start? As of 1 September 2023, all BABCP Accredited and Registered members will be required to ensure that an arrangement is in place to manage closure of their clinical practice in the event of their serious illness, death, suspension, dismissal or other sudden clinical incapacity. This means that either your employer will need to have appropriate arrangements and contingency plans in place, or that you have a formal Clinical Will document that provides instructions to an executor in the event that you are no longer able to continue practicing.  NB: This template is illustrative and for information and training purposes only and does not constitute or reflect legal advice. Your clinical will should be checked by legal or other professionals. This template is in no way endorsed by the BABCP.

Change is inevitable. Learn ways to help people constructively work through change.

Don't wait for motivation to happen. Learn tools that you can use to get yourself motivated and keep working on your goals.

Duration 1 Days 6 CPD hours This course is intended for A Dynamics 365 Customer Engagement Functional Consultant is responsible for performing discovery, capturing requirements, engaging subject matter experts and stakeholders, translating requirements, and configuring the solution and applications. The Functional Consultant implements a solution using out of the box capabilities, codeless extensibility, application and service integrations. Overview After completing this course, you will be able to: Install and configure the application Identify common sales scenarios Complete a sales cycle Configure product catalog Manage customer records Utilize analytics tools with customer data Microsoft Dynamics 365 for Sales is an end-to-end application to manage the handling of customers and potential customers; tracking data against sales goals, automating your best practices, learning from your data and more. Sales Overview Sales overview Configuring Sales Module summary Working with Opportunities Manage customers Working with opportunities Embedded intelligence Playbooks Integrated sales tools Module summary Quotes to Orders Order processing overview Manage product catalog Create and manage quotes Create and manage orders and invoices Module summary Sales Analytics and Insights Overview Power BI AI for Sales Modules summary Additional course details: Nexus Humans MB-210T01 Dynamics 365 for Customer Engagement for Sales 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 MB-210T01 Dynamics 365 for Customer Engagement for Sales 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.

Certified NLP Training and Business Coaching

This 1 hour PECS overview provides basic information about the Picture Exchange Communication System (PECS). We begin with a brief overview of the Pyramid Approach to Education, a model commonly used to create effective educational environments. Next, each of the six phases of PECS will be described and/or demonstrated with accompanying videos illustrating PECS in action. We will discuss transitioning from PECS to other modalities, before concluding with a review and analysis of common myths associated with PECS. Please note that this is an overview only and is not intended as, nor does it replace the PECS Level 1 training workshop. Identify the purpose of PECS Identify the elements in the Pyramid Approach to Education Discuss the six phases in the PECS protocol List the criteria for transitioning from PECS to speech and/or SGD Discuss myths and facts about PECS WORKSHOP DETAILS Agenda: 1 hour Registration Time: N/A Tuition Includes: N/A

Make your big goals happen by learning the science of small, sustainable habits.

Duration 4 Days 24 CPD hours This course is intended for The audience includes System administrators, IT administrators, Maintenance personnel, Procurement personnel, Inventory personnel, Asset managers and work managers. The audience also includes consultants that are looking to gain an understanding of Maximo Asset Management 7.6.x. Overview After completing this course, you should be able to perform the following tasks: Describe the Asset Management Lifecycle in Maximo Query and Retrieve Data Describe options available for various applications Describe and use the different Maximo applications and functions as they relate to business processes Enter core data elements and data structures This course helps clients to make informed business decisions with the design and planning of their implementation. Consultants gain a foundation on which to build their product knowledge and skill set. The foundation also helps in working with clients to obtain optimal value from the product. It provides the fundamental concepts and setup considerations of the various business areas that Maximo supports and, as a bonus section, the new Work Center functionality. This course consists of lectures, demonstrations, and labs that cover applications, processes and interrelationships within Maximo. IBM Maximo Asset Management Overview This unit provides a high-level overview of IBM Maximo Asset Management framework architecture and its key element and components. You learn about strategic asset management with IBM Maximo Asset Management to manage assets through their life cycle. You also discuss implementation considerations and system configuration as they pertain to integrations, reporting, and business processes. Item Planning and Setup This unit focuses on the planning and setup of inventory item and asset configurations. You use the applications to set up inventory items and asset configurations in Maximo. Assets This unit focuses on the creation of assets and how they are used in Maximo Asset Management. You will learn the applications that can create assets, associate assets to people and locations and learn how to move assets between locations. Work Management This unit focuses on learning to use Maximo for work management with the generation and processing of work orders to completion. This unit will include the new Work Centers that came available in Maximo 7.6.0.5. Work Centers are made available for Business Analyst, Supervisors and Workers complete the work order tasks. We will also look at the new Inspection Form tool. Purchasing This unit focuses on learning to use Maximo for procurement, starting with generating purchase requests, then processing them, and completing them. Developer and System Administration Each lesson in this unit focuses on different aspects of entering records into the database. This unit is also an overview of the different applications and setup options that are available with IBM Maximo Asset Management. The focus is on using applications that are primarily used for building (setting up) the database. Additional course details: Nexus Humans U5TR572 - IBM Maximo Asset Management Fundamentals v7.6.x 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 U5TR572 - IBM Maximo Asset Management Fundamentals v7.6.x 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.

BRIT Creative Coaching is structured for Performing Arts Students to reach their goals. Discover and build new skills that you need outside the studio.