Learn AI & Machine Learning vs Learn Machine Learning & AI

Master AI and machine learning with daily bite-sized lessons — no overwhelm, no long videos. Learn AI teaches you artificial intelligence through short interactive lessons, multiple-choice quizzes, and drag-and-drop code exercises. Inspired by Duolingo, it turns machine learning, Python, and LLMs into a 5-minute daily habit. Whether you're a complete beginner writing your first Python script or a developer moving into ML, deep learning, and generative AI, Learn AI meets you where you are. WHAT YOU'LL LEARN • Python for AI — syntax, data types, functions, working with data • Data handling & visualization — NumPy, pandas, charts • Classic machine learning — scikit-learn, regression, classification • Deep learning — neural networks with PyTorch • Natural Language Processing (NLP) — text, embeddings, sentiment • Large Language Models — how LLMs work and how to call their APIs • Prompt engineering — from the basics to advanced prompting workflows • RAG & vector databases — give models your own knowledge • AI agents — tools, planning, and autonomous workflows • Generative AI — text, images, and multimodal models • AI ethics, safety & society — build responsibly • Shipping AI apps — from prototype to production HOW IT WORKS → Short lessons: Each lesson takes under 5 minutes → Quizzes: Test your knowledge with multiple-choice questions → Drag & drop: Arrange code blocks to build real AI patterns → Streak system: Build a daily habit and track your consistency → Progress map: A visual lesson map shows exactly where you are → Star ratings: Earn 1–3 stars per lesson based on your score FEATURES • 500+ lessons across 20 topic sections • From Python basics to LLMs, RAG, and AI agents • Works offline — learn anywhere • Dark & light mode • Available in English and Spanish • No subscription required to get started • Streak reminders so you never lose momentum Learn AI is built for people who want to actually understand AI — through practice, not passive watching. Not affiliated with, endorsed by, or sponsored by OpenAI, Meta, or any framework vendor. Trademarks belong to their respective owners. Download now and start your first lesson today. SUBSCRIPTION Learn AI Premium is an auto-renewable subscription, available monthly or yearly. The exact price is shown in the app before you subscribe. Payment is charged to your Apple ID account at confirmation of purchase and renews automatically unless cancelled at least 24 hours before the end of the current period. You can manage or cancel your subscription in your Apple ID settings. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ App Terms: https://nortiz-tech.com/daily-ai/terms/ Privacy Policy: https://nortiz-tech.com/daily-ai/privacy-policy/

Learn Machine Learning & AI takes you from "what is machine learning" to understanding the algorithms behind modern artificial intelligence — 105 subjects and 2,650 lessons, in pieces short enough to read on a phone. No prior AI experience required. If you can follow basic algebra and a little Python, you can follow this course. WHAT YOU WILL LEARN Machine Learning Foundations — how machine learning differs from traditional programming, the training workflow, test data, overfitting, underfitting, bias and variance, and how models are evaluated. Supervised Learning — linear and logistic regression, decision trees, random forests, support vector machines, k nearest neighbours and naive Bayes, each with the intuition behind it. Unsupervised Learning — k means and hierarchical clustering, dimensionality reduction, principal component analysis and anomaly detection. Deep Learning and Neural Networks — perceptrons, activation functions, backpropagation, convolutional networks for images, recurrent networks and LSTMs for sequences, and an introduction to transformers. Reinforcement Learning — agents, environments, rewards, Q learning and policy based methods, without heavy mathematics. Natural Language Processing — tokenization, embeddings, sentiment analysis, and how large language models are built on these ideas. Tools and Libraries — where Python, TensorFlow, Keras, scikit learn, NumPy, Pandas, H2O, OpenCV and Spark MLlib fit into a real workflow. Applied Machine Learning — healthcare, finance, recommendation systems, fraud detection, computer vision and forecasting. TEST WHAT YOU HAVE LEARNED Over 8,000 quiz questions across all 105 subjects. Ten questions per session, four options each, tied to the chapter you have been reading. Three timed difficulty levels: beginner 30 seconds per question, intermediate 20, expert 10. A session runs 5:00, 3:20 or 1:40. Pass at 70%. Filter by level, by attempted or untried, and by best score, so practice targets the algorithms you have not yet understood. Every attempt is stored. ML INTERVIEW PREPARATION 25 machine learning roles with 100 questions each — 2,500 in total — from junior ML engineer through senior, staff and principal, plus data scientist, applied scientist, MLOps, NLP and computer vision. Timed like a real screening round, scored, and saved so you can retake and compare. STUDY OFFLINE Download any subject for offline reading. Lesson text is stored on the device and stays available with no connection; images still need network. Anything you open is cached automatically. The Downloads screen shows what is saved and lets you cancel, resume or remove a subject. PROGRESS, STREAKS AND CERTIFICATES Mark lessons complete, watch the progress ring fill on every subject, and use the Continue card to return to exactly where you stopped. A daily streak counts every day you study, with an optional reminder that is off by default. Complete a subject and pass its quiz at 70% or above to unlock a certificate you can save and share. BUILT FOR LEARNING ON A PHONE Plain language first, mathematics second — every algorithm is explained in words before any notation appears. Short sections you can finish in a few minutes. Syntax highlighted code with one tap copy. Search across the whole course. Bookmarks and history, light, dark and system themes, adjustable font size, and tablet layouts. WHO IT IS FOR Students who want a second explanation when the lecture did not land. Developers moving into machine learning engineering or data science. Candidates preparing for ML and data science interviews, where the questions are still mostly about fundamentals. Professionals who need to understand what an AI system in their industry is actually doing. No video to buffer. No account required. Open your first lesson today. Questions, corrections or a topic request? Email mail@ehsanur.com — we update the app based on what learners ask for.