AWS Certified AI Practitioner (AIF-C01) Audio Study Guide & Podcasts

Andrew and Ava break down what Foundation Models actually are, what Amazon Bedrock does (and does NOT do), how agents fit in, and why GenAI doesn’t magically replace your boring predictive models—plus the exam’s favorite gotchas.

Andrew and Ava unpack the two most tested, most misunderstood exam landmines: AWS Shared Responsibility and IAM/MFA. Expect practical AI security guidance, compliance truth serum, and a few jabs at the root account.

Andrew and Ava unpack responsible AI guidelines for the AWS Certified AI Practitioner: choosing the right model metrics (classification vs regression, MSE vs MAE) and what “AI governance & accountability” really means—plus the exam traps that make everyone doubt reality.

Andrew and Ava break down foundation-model applications using AWS’s “IDP trio” (Textract, Comprehend, Transcribe) and where unsupervised learning actually fits—plus the exam traps that try to make you fail politely.

Andrew and Ava untangle ETL vs ELT, why training/inference pipelines must match, and how feature leakage quietly inflates metrics—and fails exams.