S4E3: Using AWS AI Services
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S4E3: Using AWS AI Services
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About this listen
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
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
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