This course is a comprehensive guide to understanding, evaluating, and deploying Google’s advanced Gemini AI models. Designed for developers, data scientists, and AI practitioners, this course helps you choose the right model for a variety of business and technical scenarios—and integrate Gemini capabilities into production-ready solutions with confidence. This course provides an in-depth exploration of the architecture, capabilities, and performance characteristics of the Gemini model family.

You’ll learn how to compare model sizes, interpret performance trade-offs, and select the ideal model for tasks involving text, images, multi-modal inputs, and code generation. Through interactive lessons and hands-on exercises, you’ll experiment with model parameters, analyze behavioral differences, and benchmark Gemini models using real-world datasets.