Cert EspressoLearn. Practise. Find your flow.

A LITTLE FOCUS.
A BIG NEXT STEP.

Your pace. Your space.
AWS · AIF-C01

Inference and AI use cases

AIF-C01 · Lesson 2 of 17 · 10:21

YouTube loads only after you press play. This chapter opens at its timestamp in the full course. Watch on YouTube ↗

In this lesson

Prepare for the AIF-C01 exam (AWS Certified AI Practitioner). In this lesson: real-time, batch, asynchronous, and serverless inference on SageMaker AI and Amazon Bedrock, where AI adds value and when a cost-benefit analysis or the need for an exact outcome rules it out, regression, classification, and clustering, real-world AI applications, and when to prefer traditional machine learning or foundation models. Includes three original practice questions.

Preview the topics
  • AnyCompany must re-score all three million policies every night for renewal pricing, and nobody waits for an individual result. Which inference type fits best?
  • AnyCompany wants to predict the repair cost, in dollars, of each damaged car from the details of the claim. Which technique fits?
  • A regulator requires AnyCompany to explain every claim denial, factor by factor, in a consistent way. Which approach fits best?