AZ AI Certification Exam Prep vs Data Scientific

The Azure AI Fundamentals certification changed. The exam behind it is now AI-901, updated in April 2026, and it is not the paper it used to be: over half of it is now hands-on work in Microsoft Foundry, and the old service-by-service questions are gone. This app was rebuilt for that exam, not patched from the old one. What's inside: 75 questions Identify AI concepts and capabilities: responsible AI principles, how generative AI models work, choosing an appropriate model, and recognising which workload a scenario calls for. Implement AI solutions with Microsoft Foundry: prompt agents and hosted agents, the Foundry portal and SDKs, model deployment, and extracting information from documents, images, audio and video with Azure Content Understanding. One in-app purchase unlocks all 150 in this app, with no subscription. Every answer explains the rule Not just which option was right, but why and why the others were not. You get better instead of just scoring. Nothing here is out of date Questions referencing retired products were removed rather than reworded. There is nothing on LUIS, Text Analytics, Form Recognizer or QnA Maker, because none of them is on the current exam. Each question carries a Microsoft Learn reference so you can read further. Built for flights Everything ships inside the app. Nothing is fetched, nothing streams, nothing checks an account on launch, so airplane mode, the subway and a dead-zone basement all behave exactly the same as full signal. Also included Timed Pace Mode: an optional, non-enforced ~1 min/question countdown. It never locks you out and never auto-submits. Daily study reminder, if you want one. Scheduled on your device; nothing is sent from a server. Progress tracking: streaks, best scores and history, stored on your device. No account, no sign-up, no ads.

Science of Data is a mobile companion to two graduate-level books by Jean Claude Lemoyne Zabaloff — "The Science of Data" and "Data Science Project" — paired with an AI-powered ML Code Generator that produces complete, runnable scripts in Python, R, or MATLAB for any machine learning task you describe. 13 CHAPTERS What is AI? · Foundations · Supervised Learning · Unsupervised Learning · Reinforcement Learning · Deep Learning · Bayesian Inference · Support Vector Machines · Data Science · Knowledge · DS Process · Key Concepts 5 APPENDICES A — Python | B — R | C — MATLAB / Octave / Scilab D — Optimization | E — Public Data Sources ML CODE GENERATOR Describe any ML task or pick from 23 built-in templates and receive a complete, runnable script instantly. Languages — Python, R, MATLAB Templates — Classifiers · Regression · Cross-Validation · ROC Curve · Confusion Matrix · Feature Importance · Pipeline · Clustering · Neural Network · SVM · PCA · Preprocessing · Hyperparameter Tuning · Time Series · Bayesian Inference · Naive Bayes · Bayesian Regression · Metropolis-Hastings · Gibbs Sampling · MCMC Diagnostics · Gradient Descent · Constrained Optimization · Bayesian Optimization Every script includes type hints, WHY comments, labelled output, an expected-output block, and an install-command badge (pip install / install.packages / Requires:). Copy to clipboard or share via any app. Three AI-generated follow-up questions deepen understanding after every session. APP FEATURES · Full-text search across all chapters and appendices · Bookmarks for quick chapter access · Font size control: S / M / L / XL · Dark and light mode · Swipe navigation between chapters · Content tab + Notes / cheat-sheet tab per chapter · GFM table rendering with horizontal scroll · Dracula syntax highlighting — light-green comments, orange function calls, pink definitions, purple numbers IDEAL FOR Graduate ML and data science students, practitioners who want a rigorous pocket reference, engineers moving into ML, and anyone studying Bayesian or probabilistic methods. PRIVACY No account required. No personal data collected or stored. The ML Code Generator sends only your prompt text to Anthropic's Claude API; no personal information is ever transmitted.