S4E2: Understanding AI and ML for the AWS Exam

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S4E2: Understanding AI and ML for the AWS Exam

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About this listen

In this episode of "From Cover to Code", Angela and Michael dive deep into Chapters 3 and 4 of "AWS Certified AI Practitioner (AIF-C01) Study Guide" by Tom Taulli.

What starts as a foundational discussion of AI quickly accelerates into machine learning lifecycles, generative model architectures, transformer mechanics, and the real-world implications of foundation models.

If you’ve ever used ChatGPT, Amazon Q, or Claude and wondered, “What’s actually happening under the hood?” — this episode connects the dots between practical usage and technical foundations.

Chapters covered in this episode:

Chapter 3: AI and Machine Learning
Chapter 4: Understanding Generative AI

Expect deep technical breakdowns, exam-ready insights, ethical debates, and live quiz practice to sharpen your AWS AI Practitioner knowledge.

Chapters:

00:00 Welcome & Chapter Reality Check
01:00 The Deep End of AI Foundations
06:00 What AI Really Means (AWS Definition)
10:00 Machine Learning Layers & Data Quality
18:40 The ML Lifecycle & MLOps Framework
26:50 Generative AI Models Explained (GANs, VAEs, Transformers, Diffusion)
37:50 Ethics, Copyright & Hallucinations
51:55 Quiz Practice & Exam Strategy

Find us online at covertocode.com.

Hosted by:

Angela A. @scooterphoenix
Michael J. @managedkaos

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