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Paul Duvall PaulDuvall

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  • us-east-1
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generative AI Prompts: AWS Certified AI Practitioner

Prompt 1: Multiple-Choice Only

Base all questions on the https://d1.awsstatic.com/training-and-certification/docs-ai-practitioner/AWS-Certified-AI-Practitioner_Exam-Guide.pdf and derive from the attached content (Mapping of AI, ML, Deep Learning, and Related Concepts.pdf, practice-exam.pdf, terms.png). Create concise case study questions, each presented in a short paragraph outlining a realistic challenge. The questions should ask for the best option(s) based on specific criteria and require critical evaluation. Each case study will be followed by multiple-choice options. Please generate a mix of medium-complexity questions, blending AWS AI/ML services with general AI/ML concepts.

Question Format

  1. All questions should be multiple-choice and present 4 options labeled A, B, C, and D.
  2. Specify when two correct responses are required and only award full credit if both answers are correct.
Category Term Definition
Custom Language Models Amazon SageMaker A comprehensive service offering tools to build, train, and deploy ML models at scale.
AI Concepts Artificial Intelligence (AI) AI is the broad field of creating machines or systems that perform tasks requiring human intelligence.
Supervised Learning CNNs Primarily used for image and video recognition tasks in deep learning.
NLP

Comprehensive Mapping of AI, ML, Deep Learning, and Related Concepts

1. Artificial Intelligence (AI)

Definition: AI is the broad field of creating machines or systems that perform tasks requiring human intelligence, such as reasoning, learning, and language understanding.

Subfields:

  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Generative AI
  • Computer Vision

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 q

git clone https://github.com/PaulDuvall/cloudproviders.git
cd cloudproviders
sudo chmod +x launch-stack.sh
./launch-stack.sh
aws secretsmanager create-secret --name github/personal-access-token --description "GitHub Token" --secret-string "GITHUBTOKEN"
Pipeline:
Type: AWS::CodePipeline::Pipeline
Properties:
RoleArn: !GetAtt CodePipelineRole.Arn
Stages:
- Name: Source
Actions:
- InputArtifacts: []
Name: Source
ActionTypeId:
version: 0.2
phases:
install:
runtime-versions:
python: 3.7
commands:
- python --version
- 'curl -O https://bootstrap.pypa.io/get-pip.py'
- python3 get-pip.py --user
- pip install --upgrade pip
CodeBuildCommands:
Type: AWS::CodeBuild::Project
DependsOn: CodeBuildRole
Properties:
Name:
Ref: AWS::StackName
Description: Build application
ServiceRole:
Fn::GetAtt:
- CodeBuildRole
# https://diagrams.mingrammer.com/docs/nodes/aws
from diagrams import Cluster, Diagram
from diagrams.aws.compute import Lambda
from diagrams.aws.storage import S3
from diagrams.aws.network import APIGateway
from diagrams.aws.database import DynamodbTable
from diagrams.aws.security import IdentityAndAccessManagementIam
from diagrams.aws.devtools import Codebuild
from diagrams.aws.devtools import Codecommit
from diagrams.aws.devtools import Codedeploy