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AI Exam 5 - AI Aspects

AI Practitioner Exam Prep Aspects of AI Cost Considerations   Cost factors are responsiveness and availability, redundancy and regional coverage, performance, token-based pricing, provisioned throughput, and refining your custom models. Responsible AI Aspects: controllability, explainability, fairness, governance, interpretability\transparency, privacy\security (theft and exposure risk), safety, and veracity\robustness.   Business Benefits: trust, regulatory complain, mitigate risks, competitive advantage, improved decision making, and improved products.    Model Selection: a)  Narrow the use case so you can tune your model to your use case.  Ex: favor recall or precision , b) pick by performance with some test data sets,  c) responsible agency, d) environmental reasons, e) economical reasons.   Dataset Prep: want  balanced dataset  so  inclusive and diverse  in data collection, curating by 1) preprocessing, 2) augmentat...

AI Exam 4 - Products

AI Practitioner Exam Prep AWS Products Amazon Product Abbreviations in AI KMS  =  Amazon   Key Mgmt Service  product Developer Products (in ML frameworks layer) SageMaker   AI =  IDE  plugin that  builds repeatable ML with "no code"  and Amazon fully provides the  infrastructure. Think "makes sages out of data scientists".   Full ML lifecycle from data prep to production endpoints.   ML workflow mgmt that offers auto training, tuning, and deployment of ML and solves data prep and model training tasks .  Uses are:  predictive analytics, image recognition, voice AI with NLP, fraud detection, recommendation systems, and time-series forecasting.  Security via IAM. Does its own logging. CloudWatch can monitor metrics and set alarms. Integrates with  S3 for storing  data (via VPC) , Lambda for processing events, API Gateway for exposing models as APIs.   ...

AI Exam 3 - Abbrev and Terms

AI Practitioner Exam Prep Abbrev. and Terms Abbreviations in AI ART  =  Automatic Reasoning  and  Tool-use ATLAS  =  Adversarial Threat Landscape for AI  Systems BERT score metric  =  Bidirectional Encoder Representations from Transformers BLEU   metric   =  Bilingual Evaluation Understudy  metric CNN  = C onvolutional Neural Networks CoT  =  Chain-Of-Thought   prompting GANs  =  G enerative Adversarial Networks GLUE benchmark  =  General Language Understanding Evaluation   benchmark GPT  =  Generative Pre-trained Transformers FM  =  Foundational Models IDP  =  Intelligent Data Processing LLM  =  Large Language Models NL or NLP  =  Natural Language Processing NTM   = Neural Topic Modeling   algorithm   PDP  =  Partial dependence plots PRA  =  Privacy Reference Architecture RAG  =  Retr...

AI Exam 2 - Layers

AI Practitioner Exam Prep Layers Overall AI Abbreviations AI   =   Artificial Intelligence DL  =  Deep Learning GenAI  =  Generative AI ML  =  Machine Learning Mathematical Subsets/ Layers  of AI Five Concentric Circles of: AI = broadest field (with rule engines). computers appear they are doing human behavior or reasoning.   ML = computer learns from data without programming     Neural Nets = technical family of learned models       DL = models that generate content inspired by human brain         Gen AI = large, pretrained, multi-purpose base model AI     AI  = broad field (includes rule engines) where computers mimic human behavior or reasoning. ML     ML or Traditional ML  =   computer learns from data without programming.  each model can perform only one task. To succeed, the model must be carefully trained on the data.     ML model  ...

AI Exam 1 - Math

AI Practitioner Exam Prep Math Terms Math Abbreviations ARIMA  =  Autoregressive Integrated Moving Average AUC  =  Area Under the Curve ETS =  Exponential Smoothing GLM  =  Generalized Linear Models KNN  =  K-Nearest Neighbors LDA  = Latent Dirichlet Allocation  algorithm   MSE  =  M ean Squared Error PCA  = Principal Component Analysis   algorithm   RMSE  =  Root Mean Squared Error ROC  = R eceiver Operator Curve TF-IDF  =  Term Frequency-Inverse Document Frequency XGBoost  =  eXtreme Gradient Boosting Math Terms "Accuracy" in Classification  =  successes / total  ARIMA =  combines autoregression (AR), differencing (I), and moving average (MA) into single formula. Good for  simple, single-time series datasets. Classification    =  data divided into categories .  " Dimension "  =  dataset  property or c...

AI Exam 0 - General

AI Practitioner Exam Prep General & Math Terms General Abbreviations APIs  =  Application Programming Interfaces BI  = B usiness Intelligence dbs  =  databases docs  =  documents ex  =  example GPU  =  Graphics Processing Unit IDE  =  Integrated Development Environment ISV  = Independent Software Vendor NIST  =  National Institute of Standards and Technology OWASP  =  Open Web Application Security Project PII  = P ersonally Identifiable Info SME  =  Subject matter expert . General Terms Bias  = data missing important feature due to not sampling enough or correct data. Types are  s election/sampling bias (unrepresentative data), interaction/participant bias ( user do not want to tell so  prejudiced), reporting/measurement bias (over-represents one group), and confirmation/automation bias (reinforcing existing stereotypes, when output is over trusted), and historical...

AI and Genie

AI and Genie copyrighted by Eric Wood in 2026   You rub an old lamp you find and out comes a genie called "AI".  "AI" says he will grant 3 wishes.      1) Your first wish is for a grand house. You don't see the results. Genie says it will be done in 100 years since you did not specify when.       2) Your second wish is to live 100 years later. You seeing flying cars, etc. but no house. You don't see the results. Genie points out that house is microscopic since you did not specify size.    3) Your third wish is to be microscopic. So you enter the house and see that the house is fabulous. Then the cow steps on the house crushing it and kills you. Genie says I probably would have specified that the house is to be indestructible.