What you'll learn

AI teams face constant pressure to deliver faster experiences while controlling costs and maintaining quality. Vendor benchmarks can provide useful signals, but they rarely reflect the unique requirements of your business. In this course, Evaluating Gemini 3.5 Flash for Real-world AI Workloads, you'll gain the ability to benchmark and assess Gemini 3.5 Flash using your own data, workflows, and success criteria.

First, you'll explore the strengths and limitations of Gemini 3.5 Flash, including where it excels in multimodal processing, agentic workflows, financial analysis, and customer-facing applications. Next, you'll discover how to design practical benchmarks that compare Flash against Gemini Pro and other frontier models, measuring performance across speed, cost, accuracy, and output quality. Finally, you'll learn how to build reliable evaluation processes using repeated testing, analyze benchmark results, and make informed model selection decisions based on real business requirements rather than marketing claims.

When you're finished with this course, you'll have the skills and knowledge of AI model evaluation needed to confidently determine whether Gemini 3.5 Flash, Gemini Pro, or another frontier model is the best fit for your organization's workloads.