This practical two-day course equips professionals with the skills to apply AI, emerging AGI concepts, and vector databases to modern data analysis challenges. It focuses on how these technologies can be combined to extract insight from complex, high-volume, and unstructured data.Participants gain a clear understanding of vector databases and their role in similarity search, semantic analysis, and scalable AI systems. Through hands-on exercises, the course explores automated data cleaning, anomaly detection, predictive analytics, and recommender-style analysis, alongside the use of machine learning and deep learning techniques. Attention is also given to interpreting results, communicating insights effectively, and addressing ethical considerations such as bias, transparency, and responsible use.
By the end of the course, attendees are able to apply AI-driven analysis techniques confidently, understand where vector databases add value, and translate analytical outputs into clear, actionable insights for technical and non-technical stakeholders.
Pre-requisites: A solid appreciation of AI and data analysis concepts is required
