Stacked AI vs ML_Engineering

AI Stack Builder is a visual, hands-on learning app designed to help adults and beginners understand how modern artificial intelligence systems actually work—from the computer basics all the way up to running real AI models. Most AI education jumps straight into coding or abstract math. This app takes a different approach: it teaches the entire AI stack, layer by layer, using clear explanations, interactive maps, and practical system-building exercises. What you’ll learn • How CPUs, GPUs, RAM, and VRAM work together • What operating systems, drivers, and runtimes actually do • How CUDA, libraries, and frameworks fit into the AI stack • How containers and Docker are used in real AI deployments • How models, tokens, embeddings, and inference work • Why things break—and how to reason about common errors Key features Visual Learning Map Progress through a node-based learning map that shows how concepts connect. Each lesson unlocks naturally as you build understanding from the ground up. Stack Builder (Interactive) Assemble AI systems by placing components in the correct order. Learn dependencies, fix broken stacks, and understand why certain setups work—or fail. Short, Focused Lessons Each lesson is designed to be completed in just a few minutes, making it easy to learn consistently without overwhelm. Plain-English Explanations Concepts are explained in clear, practical language—no advanced math required. Built-in Dictionary Look up common AI terms, abbreviations, file types, and tools, all explained in context and linked to where they sit in the stack. Progress Tracking Track completed lessons, learning streaks, and unlocked topics as you advance. Who this app is for • Adults transitioning into tech or AI • Students learning modern computing systems • Developers who want a clearer mental model of AI infrastructure • Anyone curious about how AI software and hardware work together No prior AI experience is required. AI Stack Builder focuses on understanding systems, not hype—helping learners build real intuition for how modern AI is structured and used in practice.

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