Skip to content

Instantly share code, notes, and snippets.

Show Gist options
  • Save PaulDuvall/ded69595dd04913b3970fe17f4dc4d18 to your computer and use it in GitHub Desktop.
Save PaulDuvall/ded69595dd04913b3970fe17f4dc4d18 to your computer and use it in GitHub Desktop.

prompts for writing article on aws-certified-ai-practitioner-exam

Prompt 1:

Are you familiar with the AWS Certified AI Practitioner exam: https://aws.amazon.com/certification/certified-ai-practitioner/)?

Prompt 2:

I recently passed the AWS Certified AI Practitioner exam and want you to edit this article into a 900-word blog post about my experience. Could you assist me?

Prompt 3:

In the blog, I'd like to reference techniques from the book Made to Stick by Chip Heath and Dan Heath that I used in my preparation, along with how I leveraged generative AI to create practice exams. Here is a link to the prompts I used to generate my practice exams. Overall, the exam was well-structured, but I noticed that scenario questions often had more than one “correct” answer. This made it essential to carefully read the final sentence for context (e.g., “Which is more cost-effective?”, “Which is most secure?”). I also believe that most prep exams don’t fully prepare candidates for these types of questions.

Prompt 4:

Make It Stick: The Science of Successful Learning is an insightful book by Peter C. Brown, Henry L. Roediger III, and Mark A. McDaniel. I’d like to weave in a discussion on its relevance to my exam preparation strategy. Could you help embed links to the AWS AI Practitioner exam guide and any other relevant resources?

Prompt 5:

I've been working with AWS since 2008, but many of the AI services are relatively new to me. Having served as a Director at AWS for the past three years, I haven’t been as hands-on with the technical details recently. Would you help incorporate this background into the blog to provide context for my learning curve with AWS AI services?

Prompt 6:

Did you refer to the AWS Certified AI Practitioner Exam Guide to identify the exam domains? These are the actual domain areas:

  • Domain 1: Fundamentals of AI and ML (20% of scored content)
  • Domain 2: Fundamentals of Generative AI (24% of scored content)
  • Domain 3: Applications of Foundation Models (28% of scored content)
  • Domain 4: Guidelines for Responsible AI (14% of scored content)
  • Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)

Could you integrate this breakdown into the blog post?

Prompt 7:

Amazon Polly wasn't a significant focus in the exam (it only appeared as one possible option in a question). Please help rephrase this in the style of Paul Duvall. Also, I plan to pursue certifications in AWS Machine Learning Engineer, renew my AWS DevOps Professional, and take the AWS Security Specialty exams to round out an “AWS AI Engineer” curriculum.

Prompt 8:

Could you add more embedded links to AWS AI services, particularly Amazon SageMaker and Amazon Bedrock? Also, I'd like to include a reference to Make It Stick by Peter C. Brown, Henry L. Roediger III, and Mark A. McDaniel. How can I effectively mention this in my post?

Prompt 9:

Would you A/B test various blog post titles for the content below to find the most engaging one?

Prompt 10:

Based on the content of this article, generate 3-5 attention-grabbing images that visually aligns with the key themes and messages. Ensure the image is highly engaging, relevant to the article, and free of text or captions.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment