ML_Engineering vs PyLearn

Become a machine learning engineer—starting exactly where you are. ML_Engineering is a complete interactive learning environment for iPhone, iPad, and Mac. Begin with basic arithmetic, examples, features, labels, and your first prediction baseline. Progress through Python, NumPy, pandas, statistics, feature engineering, classical machine learning, deep learning, computer vision, NLP, forecasting, recommendations, model serving, MLOps, monitoring, responsible ML, distributed training, LLM systems, and principal-level ML architecture. LEARN BY DOING • 40 structured courses from beginner to advanced • 400 substantive interactive lessons • 140 editable, syntax-highlighted code labs • 100 quizzes with validation and explanations • 80 architecture decisions based on production trade-offs • 80 guided concept exercises • Progressive hints that help without giving away the answer BUILD A SERIOUS ML PORTFOLIO Complete 40 practical projects: 12 Beginner, 14 Intermediate, and 14 Advanced. Build baselines, classifiers, forecasts, recommenders, vision and language models, feature stores, inference services, experiment systems, model registries, drift monitors, ML delivery pipelines, distributed training, LLM evaluation, governance controls, and a principal ML platform design. Every project includes an editable workspace, four milestones, checks, and outcomes you can explain in an interview. YOUR PRIVATE ML ENGINEERING TUTOR Ask from any lesson or project. Tutor Core can begin with basic arithmetic, define every new term, explain how models learn, diagnose code and architecture, and continue until the idea clicks. Offline Core is included and never sends questions anywhere. Compatible devices can add private Apple on-device generation. API, Ollama, and LM Studio connections are always optional. WATCH YOUR ML SYSTEM TAKE SHAPE Every completed lesson, course, and milestone advances a living ML-system construction scene—from problem framing and a baseline through features, training, serving, monitoring, and production guardrails. DESIGNED FOR SERIOUS PROGRESS Earn XP, build streaks, bookmark material, track role readiness, choose daily goals, switch between light and dark interfaces, and move naturally among iPhone, iPad, and Mac. FREEMIUM AND PRO Explore the first module of every course for free, keep your learning progress, and upgrade only when you are ready. ML_Engineering Pro unlocks the complete curriculum, every lab and portfolio project, and contextual Tutor access across iPhone, iPad, and Mac. Choose a monthly plan with a 14-day free introductory trial or an annual plan with a 7-day free introductory trial, when eligible. Prices are shown before purchase. Payment is charged to your Apple Account after confirmation. Subscriptions renew automatically unless cancelled at least 24 hours before the end of the current period. Restore purchases or manage your subscription directly from the app. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://github.com/lukekevinmclaughlin-oss/ML_Engineering/blob/main/PRIVACY.md

Real Python, running on your phone. Not quizzes about Python — an editor, an interpreter, and tests that check what your code actually did. Every lesson gives you a problem, a code editor and a Run button. You write Python, run it, and see the output and the failing tests. The interpreter is real CPython, bundled inside the app, so it works on a plane, on the underground, and anywhere else with no signal. WHAT IS IN IT • 12 courses, 108 lessons, from your first variable to shipping an AI system • 27 quizzes and 6 capstone projects, graded against hidden tests • 12 cheatsheets for the things nobody remembers • 12 badges, XP and a streak, for the days when momentum is the hard part THE PATH Start with Python Basics: variables, loops, conditionals, functions. Then data structures, functions and objects, files and errors, data analysis, APIs and async. Then the part most courses stop before: LLM APIs and prompting, structured output and tool calling, embeddings and vector search, RAG systems, agents and tool use, and evals and shipping. Real practice with the things AI engineering is actually made of. NO ACCOUNT NEEDED The app opens and works with no sign-up. Make an account only if you want your progress on more than one device — it syncs when there is a connection and waits patiently when there is not. BUILT FOR A PHONE • A code editor with line numbers, syntax highlighting and a punctuation row, because semicolons and brackets are miserable on a phone keyboard • Adjustable text size everywhere, including inside code • Hints when you are stuck and a worked solution when you have had enough • Dark and light, and it respects the size you read at Python runs entirely on your device — no server executes your code. Signed out, nothing you write leaves the phone at all. With an account, your work syncs so you can carry on somewhere else, and the tutor sees the lesson and your code in order to answer questions about them.