Skip to content

A breakdown of my study notes for the AWS Certified AI Practitioner course

Notifications You must be signed in to change notification settings

karnage-keo/aws-ai-practitioner-study-notes

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

73 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AWS Certified AI Practitioner - AIF-C01 - Study notes

This page will serve as a study guide for the AWS AI Practitioner exam. ai-pract-course-logo

Table of content

  1. Introduction to AI
  2. Introduction to Cloud Computering
  3. Setting up an AWS account
  4. AWS Console - Quick guide
  5. Setting up budgets
  6. What is GenAI?
  7. GenAI concepts
  1. What is prompt engineering?
  2. Prompt performance opermization
  3. Prompt engineering Techniques
  1. Overview
  2. AWS Bedroom overview (hands on)
  3. Amazon Bedrock - Foundation Models (FM)
  4. Amazon Bedrock - Fine tuning (FM)
  5. Amazon Bedrock - The different Foundation Models
  6. Amazon Bedrock - Retrieval-Augmented Generation (RAG)
  7. Amazon Bedrock - Guardrails
  8. Amazon Bedrock - Agents
  9. Amazon Bedrock - CloudWatch
  10. Amazon Bedrock - Pricing overview
  11. Amazon Bedrock - AI Stylist
  1. AWS SageMake - Intro
  2. AWS SageMake - Data Tools
  3. AWS SageMake - Models & Humans
  4. AWS SageMake - Governance
  5. AWS SageMake - Consoles
  1. What are the differences?
  1. Overview
  2. Amazon Q - Business
  3. Amazon Q - Apps
  4. Amazon Q - Developer
  5. Amazon Q - AWS Services
  6. Amazon Q - PartyRock
  1. Overview
  2. AI & ML - Common exam terms
  3. AI & ML - Training data
  4. AI & ML - Supervised learning
  5. AI & ML - Unsupervised learning
  6. AI & ML - Reinforced learning
  7. AI & ML - Reinforced learning with human feedback
  8. AI & ML - Model evaluation/Metrics
  9. AI & ML - Model fit, varients and bias
  10. AI & ML - Inferencing
  11. AI & ML - When not to use ML
  12. Hyperparatmeters
  1. When to use an AI Managed service 2.Amazon Comprehend 3.Amazon Translate
  2. Amazon Transcribe
  3. Amazon Polly
  4. Amazon Rekognition
  5. Amazon Forecast
  6. Amazon Lex
  7. Amazon Personalise
  8. Amazon Textract
  9. Amazon Kendra
  10. Amazon Mechanical Trunk
  11. Amazon Augemented AI
  12. Amazon DeepRacer
  13. Amazon Comprehend Medical & Transcribe
  14. Amazon Hardware for AI

Exam - Sample questions

AWS AI - Solution Architect examples & walkthroughs

About

A breakdown of my study notes for the AWS Certified AI Practitioner course

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages