S4E3: Using AWS AI Services

In this episode of From Cover to Code, Angela and Michael continue their walk through the AWS Certified AI Practitioner Study Guide with a discussion of Chapters 5 and 6, focused on real-world AWS AI services plus getting started with Amazon Bedrock and Amazon Q. They break down where services like Rekognition, Comprehend, Kendra, Lex, Polly, Textract, and Fraud Detector fit in real scenarios, then shift into Bedrock's model catalog, playground comparisons, tuning controls, guardrails, and the growing role of Amazon Q inside day-to-day AWS workflows. Along the way, they work through certification-style quiz questions, unpack model settings like temperature and top P, explore customization concepts like distillation and continued pre-training, and connect AI decisions back to business outcomes, governance, and exam readiness. Book chapters covered in this episode: Chapter 5: Real-World AI Applications with AWS Tools Chapter 6: Getting Started with Amazon Bedrock and Amazon Q Video Chapters: 00:00 Welcome 02:03 Chapters 5 and 6 Overview 04:39 AWS AI Services Overview 19:07 Quiz Review and Exam Prep 25:46 Amazon Q in Practice 29:12 Amazon Bedrock Model Catalog 41:57 Tuning, Guardrails, and Prompting 52:12 AI Metrics, Customization, and Wrap-Up Your hosts: Angela Andrews - @scooterphoenix Michael Jenkins - @managedkaos Don’t forget to like, subscribe, and follow From Cover to Code for more conversations on AI, cloud, software development, certification prep, and real-world tech learning. Find us online at covertocode.com. Hosted by: Angela A. @scooterphoenix Michael J. @managedkaos ​