AI Product Development for Business Leaders

Module 1: Formulating an Initial AI Product

Learn how to approach AI product development from a top-down business perspective, understanding the unique lifecycle of AI products and how to create innovative solutions that align with their organisation's strengths while minimising potential risks.

Module 2: Building your AI Team

Discover the critical importance of cross-functional teams in AI projects, learning to assemble and integrate stakeholders from various business domains, including technical, legal, ethical, and user experience perspectives to ensure comprehensive project success.

Module 3: The Main Components of an AI Product

Gain a comprehensive understanding of different AI techniques, learn how to match specific business challenges with appropriate AI approaches, and develop skills in data acquisition, curation, and alignment with machine learning objectives through a practical modelling exercise.

Module 4: Building your AI Model for Purpose

Learn to evaluate AI model quality by understanding key accuracy metrics, interpreting confidence intervals, and developing the ability to work collaboratively with data scientists to determine whether a model meets specific business requirements and cost considerations.

Module 5: From Model to POC

Explore the complete AI product lifecycle, focusing on identifying ethical risks, developing communication strategies, creating timelines for model retraining, and understanding when and how to engage stakeholders throughout the proof-of-concept development process.

Module 6: Creating the Business Offering

Understand the complexities of launching an AI product, including integration strategies, user training, regulatory compliance, ensuring product-market fit, and developing plans for supporting and scaling the solution across target markets.

Module 7: In-Person Canvas Review

Consolidate your learning by completing an AI Product Canvas, synthesizing insights from previous modules, and developing a personalised, actionable plan for implementing AI products within their specific organisational context.