Course Duration: Full-day program (or two half-day modules), with options for virtual delivery or leadership retreats Target Audience: Mid to senior-level leaders, team managers, project leads, or high-potential employees who are responsible for leading through disruption, complexity, or organisational transformation. Course Objectives By the end of this course, participants will be able to: Understand the principles of adaptive leadership and why it's essential in unpredictable environments. Recognise the difference between technical and adaptive challenges. Build the mindset and behaviours needed to lead with resilience and flexibility. Engage and empower teams in the face of uncertainty and resistance. Apply practical tools to lead through change, conflict, and complexity. Course Outline Module 1: Understanding Adaptive Leadership What is adaptive leadership? Origins (Harvard Kennedy School, Ronald Heifetz model) How adaptive leadership differs from traditional leadership The link between complexity, uncertainty, and the need for adaptability Module 2: The Nature of Change and Challenge Technical vs adaptive challenges Why some problems can’t be solved with expertise alone Common leadership traps during crisis or disruption Adaptive work: reframing problems and shifting mindsets Module 3: The Core Principles of Adaptive Leadership Get on the balcony – seeing the bigger picture Regulate distress – maintaining productive tension Maintain disciplined attention – keeping teams focused Give the work back – empowering others to lead Protect voices of leadership from below – enabling diverse input Module 4: Leading Yourself Through Uncertainty Developing personal resilience and emotional agility Navigating ambiguity, setbacks, and pressure Identifying your leadership default style under stress Reflection: What kind of leader does your team need now? Module 5: Engaging Others in Times of Uncertainty Building trust and psychological safety during turbulence Managing resistance to change with curiosity and empathy Tools for courageous conversations and adaptive dialogue Creating shared purpose and distributed leadership in teams Module 6: Adaptive Tools and Techniques Scenario planning and sensemaking Stakeholder mapping in dynamic environments Using inquiry over advocacy Holding space for experimentation and learning Leading with both confidence and humility Module 7: Action Planning and Application Identify one adaptive challenge in your role/team Map your adaptive leadership response Peer coaching conversations Build a 30-day Adaptive Leadership Plan Delivery Style Workshop-style, highly interactive Case studies, breakout discussions, and guided self-reflection Scenario-based practice and small group exercises Option to include pre-work, post-session coaching or check-ins Course Materials Provided Adaptive Leadership workbook Reflection tools and leader self-assessment Conversation guide for adaptive challenges Change resistance diagnostic Personal Leadership Development Plan template Optional Add-ons Executive coaching package 360 feedback or team diagnostic on adaptive capacity Integration with change management or innovation programs Customisation for specific industries (e.g., public sector, healthcare, education, finance)
By engaging in polymathic training on a daily basis, we change the structure (neuroplasticity) — the platform of the mind — to run new programs of increased levels of confidence, creativity and communication.
For insights into how the four colour energies will transform your team dynamics and performance, join this virtual workshop and find out how to embed the four colour energies within your team. Find out your own communication preferences and how to work effectively with colleagues with a different preference.
Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives
Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives
Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives
Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance
Duration 2 Days 12 CPD hours This course is intended for Die Zertifizierung richtet sich an Fachexperten für Geschäftsprozesse aller Branchen und IT-Experten, die die Blockchain beruflich als kryptographische Lösung oder als Smart Contract (Computerprotokoll zur Abwicklung von Verträgen) einsetzen oder einsetzen wollen. Overview Mit einem EXIN Blockchain Foundation-Zertifikat weisen Sie professionelle Kenntnisse in den folgenden Bereichen nach: Grundlagen der Blockchain-Technologie Blockchain-Herausforderungen Blockchain-Anwendungen Blockchain-Innovationen EXIN Blockchain Foundation ist eine Zertifizierung auf Basisniveau. Mit dem EXIN Blockchain Foundation-Zertifikat wird professionelle Kenntnisse nachgewiesen Âber Blockchain als Transaktionsverzeichnis analog einem Hauptbuch (Ledger), wie das potenziell als weltweites, dezentralisiertes Register zur Aufzeichnung, Bestandsaufnahme und Å¡bertragung von materiellen Werten, wie z. B. Finanzmitteln, Immobilien, Produkten, aber auch immateriellen Werten, wie Wahlstimmen, Software, Gesundheitsdaten und Ideen genutzt werden kann. Die Zertifizierung deckt die Grundbegriffe der Blockchain-Technologie, m'gliche Anwendungsbereiche, den potenziellen Wert fÂr die Organisation und die der Blockchain zugrundeliegende Technologie ab. Grundalgen der Blockchain Die Blockchain-Technologie Zusâtzliche Blockchain-Elemente Aufbau eines Blockchain-Netzwerks Blockchain-Herausforderungen Die Herausforderungen bei einer Blockchain Begrenzung des Blockchain-Risikos Blockchain-Anwendungen Anwendugsfâlle fÂr Blockchains Blockchain-Technologie fÂr Unternehmenswanwendungen Blockchain-Technologie fÂr gesellschaftliche Anwendungen Erweiterung von Blockchain-Anwendungen Blockchain und globale Wirtschaft Blockchain-Innovationen Innovationen in der Blockchain-Technologie Additional course details: Nexus Humans EXIN Blockchain Foundation 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 EXIN Blockchain Foundation 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 This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services Overview At the end of this whiteboard design session, you will leave with the information needed to develop a solid migration plan to keep mission-critical apps and data protected as they are transitioned and modernized. Topics covered will include how to get an inventory of a 2008 server environment, how to categorize 2008 workloads and evaluate the best option for each category, migration and upgrade tools available, TCO analysis tools, offers available from Microsoft to leverage existing licenses and innovations of recent product updates, licensing and technologies. This course will look at the process of migrating workloads to Azure. You will leave with the information needed to develop a solid migration plan to keep mission-critical apps and data protected as your customers transition and modernize their application, data, and infrastructure environment. Whiteboard Design Session - Windows Server 2008 and SQL Server 2008 end of support planning Review the customer case study Design a proof of concept solution Present the solution