New to machine learning
Build a foundation, then work through your first modeling decisions.
Interactive guides, courses, and decision tools for making sense of data and AI—and putting it to work.
Selected from the collection
Start with the problem. Explore when rules, machine learning, or generative AI make the most sense.
Encoding, scaling, outliers, feature creation and selection across tabular, text, time-series and image data.
Vendor-neutral course through modern data engineering, from source systems to trusted decisions.
140 practice questions, timed exams, study guide and final review for Power BI PL-300.
Beginner-friendly tour of GenAI basics: grounding, RAG components, prompt engineering and core parameters.
10–15 minInteractive decision tree for finding the right ML algorithm for your problem and data.
15 minEncoding, scaling, outliers, feature creation and selection across tabular, text, time-series and image data.
20 minChoose the right evaluation metric for classification, regression and beyond.
20 minVendor-neutral course through modern data engineering, from source systems to trusted decisions.
10 modulesStudy guide with flashcards and quizzes for the AWS Certified AI Practitioner exam.
30–45 minTimed practice exams, 114 questions across all 5 AIF-C01 domains.
30–60 minDiagrams for confusion matrices, RAG pipelines and the LLM lifecycle.
10 min6 interactive tools for the AWS AI Practitioner (Generative AI) exam.
6 toolsStudy guide for the Microsoft Fabric Data Engineering Associate exam.
45 minEvaluate AI opportunities across 6 value dimensions for a Build, Buy, Experiment or Kill verdict.
10 minNavigate from business problem to solution across rules, ML, deep learning, GenAI, agents and OR.
10 minChoose the right LLM optimization: RAG, fine-tuning, LoRA, quantization and more.
25 minChoose LLM evaluation metrics: perplexity, ROUGE, BERTScore, RAGAS, LLM-as-judge.
20 minInteractive course on Retrieval-Augmented Generation concepts, architectures and deployment.
CourseWeekly study notes on NLP fundamentals from Georgia Tech OMSA, with live demos.
7 weeks140 practice questions, timed exams, study guide and final review for Power BI PL-300.
30–100 minNo resources match. Try a broader search or clear the filters.
A little structure for the next step
Build a foundation, then work through your first modeling decisions.
Understand the foundations, choose an approach, and evaluate the results.
Choose your exam and build a focused study plan.
These resources grew out of questions from workshops, classrooms, and consulting engagements—the kind where the useful answer is understanding exactly what a decision depends on.
I’m Tarek Atwan, an author, educator, and data and AI consultant. I write and teach at tarekatwan.com and consult through Ensemble Methods.
Collection updated 2026-11