AI is no longer just a technical challenge—it’s a financial one. Models generate value, yes—but they also generate cost, often invisibly and rapidly. That’s where FinOps for AI steps in: bringing financial accountability, cost optimization, and governance into AI-driven systems.

If you’re preparing to build or manage AI workloads, especially on platforms like Amazon Web Services, a structured study plan helps you move from awareness to control.

Below is a practical 30-day and 60-day roadmap—built for professionals who want to treat AI not just as innovation, but as an accountable business function.

🔷 What is FinOps for AI (Quick Context)

FinOps for AI blends:

• Cloud cost management

• AI workload optimization

• Cross-team financial accountability

With services like Amazon Bedrock and Amazon SageMaker, costs scale based on usage (tokens, training hours, storage, inference calls).…