AI Model Selection and Training

Overview

AI Model Selection and Training is a half-day course that introduces a practical tools for evaluating and choosing the right AI models across traditional machine learning and modern generative AI systems. Participants learn to understand key trade-offs, and address issues such as concept drift and hallucination. The session also provides an overview of advanced techniques like retrieval-augmented generation (RAG), Model Context Protocol (MCP) and parameter-efficient fine-tuning (PEFT), giving attendees the insight needed to begin their journey in this rapidly evolving space.

This course is included in the AI Annual Learning Pass.