Transform your organisation's capabilities by developing a clear roadmap for responsible AI adoption, ensuring alignment from leadership to frontline teams.
Stay ahead in the AI-driven marketplace by equipping your teams with practical tools and frameworks that drive innovation and efficiency.
Build a strong foundation in ethical AI practices, protecting your brand's reputation while maximising the benefits of AI technology.
Enable your entire organisation to confidently leverage AI tools through tailored training programs designed for different skill levels and roles.
Maximise your AI investments by ensuring your teams understand how to effectively implement and measure AI-driven initiatives.
Foster an innovation-friendly culture that embraces AI responsibly, leading to improved collaboration and creative problem-solving across departments.
2 hours
Strategic understanding and decision-making in AI implementation
Insights into current AI applications and future trends across industries, with examples of transformative use cases.
Frameworks for identifying high-impact AI opportunities, aligning projects with organisational goals, and evaluating ROI.
Introduction to ethical AI principles, focusing on governance, privacy, and data security.
Interactive session using industry-relevant case studies, followed by small-group exercises on strategic AI scenarios.
Leaders develop a strategic mindset for AI implementation.
Key outcomes include:
2-3 hours
Master prompt engineering for enhanced AI interactions
Introduction to prompt structures, response interpretation, and crafting effective prompts.
Hands-on practice creating prompts for typical tasks like content generation, customer insights, data analysis, or creative brainstorming.
Techniques for adjusting prompts to achieve accurate, relevant outputs tailored to specific needs.
Scenario-based training on iterative prompting and refining AI responses.
In this session participants will learn in a hands-on way how to prompt AI models like ChatGPT, Claude and Perplexity using our custom prompting framework.
Team members acquire practical prompt engineering skills for enhanced productivity. Key outcomes include:
1 hour
Understand how to implement AI effectively and safely within a responsible ethical framework
Overview of ethical considerations in AI, including fairness, accountability, and transparency.
Importance of data privacy and responsible handling, with examples of best practices in data ethics.
How biases arise in AI and practical steps to mitigate them, with relatable industry examples.
Emphasising the importance of transparency in AI applications and fostering a culture of ethical responsibility.
Learn about our comprehensive framework for ensuring ethical AI practices, from data collection to deployment and monitoring.
Staff gain foundational knowledge of AI ethics, helping foster a responsible, trustworthy, and transparent AI culture. Key outcomes include:
Enable leaders to grasp AI's strategic impact, prioritise initiatives, and make informed decisions.