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Course Objectives By the end of this course, participants will be able to: Differentiate between coaching and mentoring and understand their unique purposes. Apply effective communication and active listening skills in developmental conversations. Use coaching models to guide structured conversations. Build trust and psychological safety in coaching and mentoring relationships. Create actionable development plans and track progress. Understand ethical boundaries and confidentiality. Course Outline Day 1: Foundations of Coaching and Mentoring Session 1: Introduction and Context What is coaching? What is mentoring? Key differences and when to use each Benefits to individuals and organisations Session 2: Core Skills for Effective Coaching and Mentoring Active listening Powerful questioning Giving and receiving feedback Empathy and emotional intelligence Session 3: Building Trust and Creating Psychological Safety Establishing rapport Confidentiality and ethical guidelines Setting boundaries and expectations Session 4: Coaching Models and Frameworks GROW Model (Goal, Reality, Options, Will) OSKAR and CLEAR frameworks Practical application and role play Day 2: Practising and Embedding Coaching and Mentoring Session 5: The Coaching and Mentoring Conversation Structuring conversations Using real-life workplace examples Practice with feedback Session 6: Setting Goals and Development Plans SMART and CLEAR goal setting Creating growth-focused action plans Monitoring progress and accountability Session 7: Mentoring for Career and Leadership Development Mentor roles and responsibilities Supporting long-term growth and resilience Reverse mentoring and cross-generational partnerships Session 8: Embedding a Coaching and Mentoring Culture How to support coaching within your team or organisation Integrating into performance conversations Sustaining development through peer coaching and communities of practice Assessment and Evaluation Participation in discussions and practical activities Feedback on peer coaching/mentoring exercises Optional personal development plan submission Course Materials Provided Participant workbook Coaching and mentoring toolkit (templates, models, guides) Suggested reading and resource list

Course Objectives By the end of this course, participants will be able to: Differentiate between coaching and mentoring and understand their unique purposes. Apply effective communication and active listening skills in developmental conversations. Use coaching models to guide structured conversations. Build trust and psychological safety in coaching and mentoring relationships. Create actionable development plans and track progress. Understand ethical boundaries and confidentiality. Course Outline Day 1: Foundations of Coaching and Mentoring Session 1: Introduction and Context What is coaching? What is mentoring? Key differences and when to use each Benefits to individuals and organisations Session 2: Core Skills for Effective Coaching and Mentoring Active listening Powerful questioning Giving and receiving feedback Empathy and emotional intelligence Session 3: Building Trust and Creating Psychological Safety Establishing rapport Confidentiality and ethical guidelines Setting boundaries and expectations Session 4: Coaching Models and Frameworks GROW Model (Goal, Reality, Options, Will) OSKAR and CLEAR frameworks Practical application and role play Day 2: Practising and Embedding Coaching and Mentoring Session 5: The Coaching and Mentoring Conversation Structuring conversations Using real-life workplace examples Practice with feedback Session 6: Setting Goals and Development Plans SMART and CLEAR goal setting Creating growth-focused action plans Monitoring progress and accountability Session 7: Mentoring for Career and Leadership Development Mentor roles and responsibilities Supporting long-term growth and resilience Reverse mentoring and cross-generational partnerships Session 8: Embedding a Coaching and Mentoring Culture How to support coaching within your team or organisation Integrating into performance conversations Sustaining development through peer coaching and communities of practice Assessment and Evaluation Participation in discussions and practical activities Feedback on peer coaching/mentoring exercises Optional personal development plan submission Course Materials Provided Participant workbook Coaching and mentoring toolkit (templates, models, guides) Suggested reading and resource list

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

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