AI streamlines tasks and frees up time for innovation. Businesses now rely on AI or aim to enhance their workforce to keep pace. Explore AI and machine learning basics, including unsupervised and supervised models. Develop a focused business case for an AI application and determine when and how to apply it based on metrics and data.

Quality training data is crucial for AI success. Learn to create a unique, complete, and high-quality dataset with Figure Eight’s annotation platform for supervised learning. Plan for longevity and anticipate data failures.

AI products use machine learning models as their foundation. Learn about the basics of AI models, such as how neural networks make decisions and how training works. Understand how training data can impact model performance and how to assess results. Explore transfer learning and neural architecture search, which make AI accessible to a broader range of users.

Discover how to measure post-deployment impact, improve with A/B testing and versioning, and continuously enhance your models with active learning. Avoid bias, ensure compliance, and plan for future scaling once you achieve product-market fit.