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Developing the high performing team takes time and effort. But above all, it requires an understanding of the dynamics of high performing teams. This programme helps managers and leaders understand what high performing teams do and how they do it. It focuses on enabling managers to see their teams from different perspectives, allowing them to adapt their styles to maximise team outputs. A core theme is the need for managers of teams to 'hold up the mirror' to themselves and to see themselves as a leader of people, to reflect on how others see them and to modify their style accordingly. This programme will help managers / team leaders: Analyse the constituents of a 'high performing' team Apply essential influencing techniques Use a range of communication techniques to support effective teamwork Create and articulate team vision Generate common values Assess team effectiveness and take/recommend the appropriate actions Make more efficient use of team time Understand and agree on techniques to manage conflict Define and implement team meeting protocols that will facilitate team effectiveness Use the Prime Focus model to create the environment and framework for a high performing team Draft your team strategy to take them to the next level Day 1 1 Welcome and introduction Participants are welcomed to the programme and invited to share their personal objectives and people challenges Participants are given an action plan template to complete throughout the workshop 2 Your team The concept of 'positive intention' The difference between a team and a high performing team Assess your team effectiveness What is your 'interference'? 3 The team environment Setting the scene Building rapport Active listening Team goals and role profiling 4 Your style Tuckman model of team stages - how do you manage each stage? Team standards and goals Your team vision 5 Effective team meetings Influencing in team meetings How to make them interesting and relevant The pure role of the chair Day 2 1 Effective communication techniques Giving and receiving feedback Your communication style How to adapt, pace and lead to build rapport The Mehrabian theory of communication 2 How to manage conflict What is conflict? What is your default conflict approach? Tools and tips for managing conflict Practice sessions 3 Team skills Undertake a team skills analysis Types of team member Motivating team members Reframing situations 4 Setting your strategy Seeing the bigger picture The Prime Focus Model Your strategy for success Articulating your strategy Action plans revisited

Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

Talent Management and Succession Planning,” the podcast where we explore the critical aspects of attracting and retaining top finance talen Talent management is the lifeblood of any organisation, and finance departments are no exception. In a competitive business landscape, attracting and retaining top finance talent can make a significant difference. Highly skilled and motivated professionals drive innovation, improve financial performance, and contribute to strategic decision-making. By investing in talent management, CFOs ensure their organisations have the right people in the right roles, which is vital for sustainable growth and success. Talent management also enables CFOs to build a culture of continuous learning and development. By nurturing the skills and capabilities of finance professionals, we create an environment that fosters innovation and adaptability. This is crucial in today’s rapidly changing business landscape, where finance teams need to keep pace with evolving technologies, regulations, and industry trends. Talent management provides a foundation for building a resilient and agile finance function. Succession planning is an integral part of talent management. How do CFOs approach succession planning, particularly in finance leadership roles? Succession planning is a proactive approach to ensure a smooth transition of leadership roles. CFOs need to identify high-potential individuals within their finance teams and provide them with opportunities for growth and development. This includes mentorship, training programs, and exposure to cross-functional experiences. By preparing a pipeline of future finance leaders, CFOs can mitigate the risks associated with unexpected departures or retirements, ensuring continuity and stability in finance leadership. Additionally, succession planning should encompass diversity and inclusion. CFOs recognize the importance of building diverse finance teams that reflect the broader talent pool. By providing equal opportunities for underrepresented groups and promoting inclusivity, we foster a culture of belonging and tap into a wider range of perspectives and ideas. Diverse teams drive innovation and improve decision-making, contributing to the overall success of the organisation. How do CFOs create a talent development culture within their finance teams, and what initiatives can be implemented to foster continuous growth? CFOs can create a talent development culture by prioritizing learning and development initiatives. This includes offering ongoing training programs, supporting professional certifications, and providing access to resources that enhance technical and soft skills. CFOs should encourage finance professionals to take ownership of their own development and provide opportunities for them to stretch their capabilities. This may involve cross-functional projects, exposure to different areas of the business, or participation in industry conferences and networking events. Additionally, mentorship and coaching programs play a crucial role in talent development. CFOs can pair experienced finance leaders with up-and-coming talent, fostering knowledge transfer, and providing guidance and support. Encouraging regular feedback and performance discussions helps finance professionals understand their strengths and areas for improvement, enabling targeted development plans. By creating a culture that values continuous learning and growth, CFOs empower their finance teams to reach their full potential. https://www.fdcapital.co.uk/podcast/talent-management-and-succession-planning/ Tags Online Events Things To Do Online Online Classes Online Business Classes #leadership #development #successionplanning #employees #talentmanagement

This Tableau Desktop Training intermediate course is designed for the professional who has a solid foundation with Tableau and is looking to take it to the next level. For Private options, online or in-person, please send us details of your requirements: This Tableau Desktop training intermediate course is designed for the professional who has a solid foundation with Tableau and is looking to take it to the next level. Attendees should have a good understanding of the fundamental concepts of building Tableau worksheets and dashboards typically achieved from having attended our Tableau Desktop Foundation Course. At the end of this course you will be able to communicate insights more effectively, enabling your organisation to make better decisions, quickly. The Tableau Desktop Analyst training course is aimed at people who are used to working with MS Excel or other Business Intelligence tools and who have preferably been using Tableau already for basic reporting. The course is split into 3 phases and 9 modules: Phase 1: AMPLIFY MODULE 1: CHECK ABILITIES Revision – What I Should Know What is possibleHow does Tableau deal with dataKnow your way aroundHow do we format chartsHow Tableau deals with datesCharts that compare multiple measuresCreating Tables MODULE 2: COMBINE DATA Relationships Joining Tables – Join Types, Joining tables within the same database, cross database joins, join calculations Blending – How to create a blend with common fields, Custom defined Field relationships and mismatched element names, Calculated fields in blended data sources Unions – Manual Unions and mismatched columns, Wildcard unions Data Extracts – Creating & Editing Data extracts MODULE 3: ADVANCED CALCULATIONS Row Level v Aggregations Aggregating dimensions in calculations Changing the Level of Detail (LOD) of calculations – What, Why, How Adding Table Calculations Phase 2: ANALYSE MODULE 4: EXPAND APPLICATION Making things dynamic with parameters Sets Trend Lines How do we format charts Forecasting MODULE 5: ADVANCED MAPPING Using your own images for spatial analysis Mapping with Spatial files MODULE 6: DATA COMPARISONS Advanced Charts Bar in Bar charts Bullet graphs Creating Bins and Histograms Creating a Box & Whisker plot Phase 3: ACT MODULE 7: ADVANCED DASHBOARDS Using the dashboard interface and Device layout Dashboard Actions and Viz In tooltips Horizontal & Vertical containers Navigate between dashboards MODULE 8: PRESENT STORIES Telling data driven stories MODULE 9: ENABLE DECISIONS What is Tableau Server Publishing & Permissions How can your users engage with content This training course includes over 25 hands-on exercises and quizzes to help participants “learn by doing” and to assist group discussions around real-life use cases. Each attendee receives a login to our extensive training portal which covers the theory, practical applications and use cases, exercises, solutions and quizzes in both written and video format. Students must bring their own laptop with an active version of Tableau Desktop 2018.2 (or later) pre-installed. What People Are Saying About This Course “Course was fantastic, and completely relevant to the work I am doing with Tableau. I particularly liked Steve’s method of teaching and how he applied the course material to ‘real-life’ use-cases.”Richard W., Dashboard Consulting Ltd “This course was extremely useful and excellent value. It helped me formalise my learning and I have taken a lot of useful tips away which will help me in everyday work.” Lauren M., Baillie Gifford “I would definitely recommend taking this course if you have a working knowledge of Tableau. Even the little tips Steve explains will make using Tableau a lot easier. Looking forward to putting what I’ve learned into practice.”Aron F., Grove & Dean “Steve is an excellent teacher and has a vast knowledge of Tableau. I learned a huge amount over the two days that I can immediately apply at work.”John B., Mporium “Steve not only provided a comprehensive explanation of the content of the course, but also allowed time for discussing particular business issues that participants may be facing. That was really useful as part of my learning process.”Juan C., Financial Conduct Authority “Course was fantastic, and completely relevant to the work I am doing with Tableau. I particularly liked Steve’s method of teaching and how he applied the course material to ‘real-life’ use-cases.”Richard W., Dashboard Consulting Ltd “This course was extremely useful and excellent value. It helped me formalise my learning and I have taken a lot of useful tips away which will help me in everyday work.” Lauren M., Baillie Gifford “I would definitely recommend taking this course if you have a working knowledge of Tableau. Even the little tips Steve explains will make using Tableau a lot easier. Looking forward to putting what I’ve learned into practice.”Aron F., Grove & Dean “Steve is an excellent teacher and has a vast knowledge of Tableau. I learned a huge amount over the two days that I can immediately apply at work.”John B., Mporium

Payroll courses in London | Online Courses | Distance Learning Course Overview: Broken down into practical modules this course is a very popular and well-received introduction to moving from manual payroll to computerised payroll, and it incorporates all the new government requirements for RTI reporting Payroll is a vital role within any organisation. A career in payroll means specialising in a niche field with excellent progression opportunities. What support is available? Free high-quality course materials Tutorial support Highly equipped IT lab Student Discount with NUS card Exam fees and exam booking service Personalised individual study plan Specialist Career Management service State of the Art Virtual Learning Campus Free Sage Payroll Software Duration 6 Weeks Study Options Classroom Based - Osborne Training offers Daytime and Weekend sessions for Payroll Training Course from London campus. Online Live - Osborne Training offers Live Online sessions for Sage Payroll Training Classes through the Virtual Learning Campus. Distance Learning - Self Study with Study Material and access to Online study Material through Virtual Learning Campus. Benefits for Trainees Sage Payroll Qualifications open new doors to exciting careers, as well as extending payroll skills if you are currently employed. State of the Art Virtual Learning Campus Start your own payroll bureau Work in small businesses A payroll career can lead to great things Update your knowledge of Sage payroll Improve your employability prospects A career path into payroll Ideal Continuing Professional Development course Gain a qualification to boost your CV Option to gain IAB accredited qualification Start your training immediately without having to wait for the new term to begin Certification You will receive a certificate from Osborne Training once you finish the course. You have an option to get an IAB Certificate subject to passing the IAB exam or Sage certified exam. Syllabus Advanced processing of the payroll for employees Preparation and use of period end HMRC forms and returns preparation of internal reports Maintaining accuracy, security and data integrity in performing payroll tasks. Deductions - Pension schemes and pension contributions Processing the payroll -complex income tax issues Processing Payroll Giving Scheme Processing Statutory Adoption Pay (SAP) Advanced Income tax implications for company pension schemes Student Loan repayments Processing Holiday Payments Processing Car Benefit on to the Payroll System Attachment of Earnings Orders & Deductions from Earnings Orders Leavers with complex issues Advanced processing of statutory additions and deductions Recovery of statutory additions payments - from HMRC Completing the processing of the payroll Complex Reports and payments due to HMRC Introduction to Auto-enrolment Cost Centre Analysis Advanced, routine and complex payroll tasks Calculation of complex gross pay

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Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialist Anyone who builds and develops IT systems Overview Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to preempt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal The Principles of Privacy in Technology training is the how to course on privacy and data protection practices in the development, engineering, deployment and auditing of IT products and services. Those taking the course will develop an understanding of privacy-related issues and practices in the context of the design and implementation of information and communication technologies and systems. The training is based on the body of knowledge for the IAPP?s ANSI accredited Certified Information Privacy Technologist (CIPT) certification program. Fundamentals of information privacy Reviewing the modern history of privacy Foundational privacy concepts Data protection roles and fair information practices Exploring the impacts of privacy and data protection regulations on information management Privacy in the IT environment Compliance requirements IT risks Stakeholder privacy expectations Differentiating between privacy and security Core privacy concepts Foundational elements for embedding privacy in IT Common privacy principles Data protection by design and default Privacy considerations in the information life cycle Privacy considerations throughout the stages of the information life cycle Privacy in systems and applications Examining the risks inherent in the IT environment and options for addressing them Identity and access management Credit card information and processing Remote access BYOD and telecommuting Data encryption Additional privacy-enhancing technologies in the enterprise environment Privacy techniques Strengths and weaknesses of authentication techniques Using identifiers Privacy by design Online privacy issues Unique challenges that come from online privacy issues Laws and regulations Online threats Social media E-commerce Tracking technologies Web security protocols Technologies with privacy considerations Privacy considerations associated with a variety of technologies Cloud computing Wireless IDs Location-based services ?Smart? technologies Video/data/audio surveillance Biometric recognition