Daily AI vs Learn Machine Learning and AI

Master AI and machine learning with daily bite-sized lessons — no overwhelm, no long videos. Daily 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, Daily 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 Daily 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 Daily 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 is a structured course that takes you from "what is machine learning" to understanding the algorithms behind modern artificial intelligence, in short lessons you can read on your 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 What machine learning is, how it differs from traditional programming, the machine learning workflow, training and test data, overfitting, underfitting, bias and variance, and how models are evaluated. Supervised Learning Linear regression, logistic regression, decision trees, random forests, support vector machines, k nearest neighbours and naive Bayes, each with the intuition behind it and where it is actually used. Unsupervised Learning K means clustering, hierarchical clustering, dimensionality reduction, principal component analysis and anomaly detection. Deep Learning and Neural Networks Perceptrons, activation functions, backpropagation, convolutional neural 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 explained without heavy mathematics. Natural Language Processing Tokenization, embeddings, sentiment analysis, and how large language models are built on top of these ideas. Tools and Libraries Where Python, TensorFlow, Keras, scikit learn, NumPy and Pandas fit into a real machine learning workflow. Applied Machine Learning How these methods are used in healthcare, finance, recommendation systems, fraud detection, computer vision and forecasting. BUILT FOR LEARNING ON A PHONE Short lessons. Each topic is broken into sections you can finish in a few minutes, so you can make progress in the gaps in your day rather than waiting for a free evening. Plain language first, mathematics second. Every algorithm is explained in words before any notation appears, so you understand what it does before you see how it is written. Search across the whole course, so you can look up a term the moment you hit it in an article or a lecture. Bookmarks and resume, so a long topic survives being interrupted. Continuously updated as the field moves. WHO THIS APP IS FOR Students taking a machine learning, artificial intelligence or data science course who want a second explanation when the lecture did not land. Software developers moving into machine learning engineering or data science. Candidates preparing for machine learning and data science interviews, where the questions are still mostly about fundamentals. Analysts and professionals who need to understand what an AI system in their industry is actually doing. Anyone curious about how artificial intelligence works underneath the products they use every day. WHY LEARN MACHINE LEARNING NOW Machine learning has stopped being a specialist skill and become part of the baseline for technical work. Understanding how models are trained, why they fail, and what they can and cannot do is now useful in almost every technical role — and increasingly in non technical ones. This course gives you that understanding in a format you will actually finish: short lessons, clear language, no video to buffer, no account required. Open your first lesson today. Questions, corrections or a topic you would like added? Email mail@ehsanur.com — we update the app based on what learners ask for.