What you'll learn

In this First Look, you’ll evaluate Google’s Gemini 3.1 Pro reasoning model through a series of small, controlled tests designed to simulate realistic workflow conditions. Rather than focusing on benchmarks or isolated tricks, the course examines how the model behaves under ambiguity, conflicting signals, structural constraints, and automated validation. You’ll explore how Gemini 3.1 Pro handles multi-turn reasoning, long-context analysis, structured outputs, and operational decision scenarios, while also considering safety, limitations, and cost implications. By the end of this course, you’ll understand what changed in Gemini 3.1 Pro, how those changes affect real-world workflows, and whether the model’s behavior justifies adoption in production environments.