In this episode of From Cover to Code, Angela Andrews and Michael Jenkins dig into two essential topics for modern AI practitioners and AWS certification candidates alike: prompt engineering and responsible AI.

They break down what makes a well-designed prompt, why techniques like zero-shot, few-shot, and chain-of-thought matter, and how better prompting leads to better outputs. The conversation then shifts into the ethical and operational side of AI, including toxicity, bias, privacy, intellectual property, model monitoring, and the AWS tools that support responsible AI in practice.

If you're studying for the AWS Certified AI Practitioner exam, this episode is packed with practical takeaways, exam-focused vocabulary, and real-world examples that make the material easier to remember and apply.

Book chapters covered in this episode:

Chapter 7: A Guide to Prompt Engineering
Chapter 8: A Framework for Responsible AI

Video Chapters:

00:00 Welcome and Catch-Up
03:10 Exam Dates and Accountability
07:10 Study Resources and Certification Prep
10:00 Why Prompt Engineering Matters
12:55 Anatomy of a Great Prompt
24:49 Prompting Techniques in Practice
28:49 Prompt Security and Safe AI Use
36:29 Responsible AI Frameworks and AWS Tools
01:11:01 Flashcards, Next Steps, and Wrap-Up

Don’t forget to like, subscribe, and follow From Cover to Code for more conversations on AI, cloud, software development, and certification prep.

#FromCoverToCode #PromptEngineering #ResponsibleAI #AWS #AWSCertifiedAIPractitioner #GenerativeAI #AmazonBedrock #SageMaker

Find us online at covertocode.com.

Hosted by:

• Angela A.  @scooterphoenix 
• Michael J.  @managedkaos ​