Learn Machine Learning vs AWS ML Engineer Exam Prep 2026

Learn Machine Learning and Artificial Intelligence the smart way with our comprehensive mobile learning platform. Whether you are a beginner exploring AI or a developer advancing your skills, this app provides everything you need to master machine learning concepts and build real-world AI applications. WHAT YOU WILL LEARN Our structured curriculum takes you from fundamentals to advanced machine learning concepts: Introduction to Machine Learning Understand what machine learning is, types of ML, and real-world applications. Learn the difference between supervised, unsupervised, and reinforcement learning. Explore how AI is changing industries and creating new opportunities. Python for Machine Learning Master Python programming essentials for ML. Learn NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for data visualization. Build a strong foundation in the tools every ML engineer uses daily. Data Preprocessing and Feature Engineering Learn to clean, transform, and prepare data for machine learning models. Master techniques for handling missing values, encoding categorical variables, feature scaling, and feature selection. Understand why data quality determines model success. Supervised Learning Algorithms Master classification and regression algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, and Naive Bayes. Learn when to use each algorithm and how to optimize performance. Unsupervised Learning Explore clustering algorithms like K-Means, Hierarchical Clustering, and DBSCAN. Learn dimensionality reduction techniques including PCA and t-SNE. Discover patterns in unlabeled data. Neural Networks and Deep Learning Understand artificial neural networks, activation functions, backpropagation, and gradient descent. Learn to build deep learning models for image recognition, natural language processing, and more. Convolutional Neural Networks Master CNNs for computer vision tasks. Learn about convolutional layers, pooling, and transfer learning. Build image classification and object detection models. Recurrent Neural Networks Explore RNNs, LSTMs, and GRU networks for sequential data. Learn to process time series, natural language, and other sequential patterns. Natural Language Processing Master text preprocessing, tokenization, word embeddings, and sentiment analysis. Learn to build chatbots, text classifiers, and language models. Model Evaluation and Optimization Learn to evaluate model performance using accuracy, precision, recall, F1-score, and ROC curves. Master hyperparameter tuning, cross-validation, and regularization techniques. KEY FEATURES Comprehensive Curriculum Over 100+ lessons covering machine learning fundamentals to advanced deep learning. Each lesson includes detailed explanations, mathematical concepts, and practical code examples. Code Examples and Implementations Every algorithm includes working Python code you can study and understand. See exactly how ML models are built, trained, and evaluated in real applications. Mathematical Foundations Understand the math behind machine learning including linear algebra, calculus, probability, and statistics. Learn concepts explained in simple, intuitive ways. Visual Learning Complex concepts explained with diagrams, visualizations, and intuitive examples. See how algorithms work step-by-step. Structured Learning Path Follow our carefully designed curriculum that builds knowledge progressively. Master fundamentals before advancing to complex topics. Offline Access Learn anywhere, anytime without internet connection. All lessons, code examples, and content available offline. Progress Tracking Monitor your learning journey with built-in progress tracking. See which topics you have mastered and what comes next. Bookmarks and Quick Reference Save important lessons and code snippets for quick reference. Build your personal ML knowledge library.

UPDATED FOR THE NEW MLA-C02 EXAM AWS updated this certification: MLA-C02 registration opened September 1, 2026 (last English MLA-C01 sitting: September 28). This app is aligned to the official MLA-C02 exam guide, including the new generative AI scope -- Amazon Bedrock, RAG and vector stores, FM fine-tuning, and agentic AI. Testing before September 28? The core ML content covers MLA-C01 too. The exam is scenario-heavy: theory is not enough -- you need the right AWS tool for the right job. This is not a quiz bank. TechPrep is a complete exam prep platform built on cognitive science -- confidence calibration, spaced repetition, stress inoculation, and progressive difficulty that adapts as you learn. Know exactly when you are ready for exam day. PASS GUARANTEE ON EVERY PRO PLAN Earn your Exam Ready Certificate, take your AWS ML Engineer Associate exam within 14 days, and if you score below 720, we refund your plan payment. Full details in our Terms of Use. HOW IT WORKS TechPrep measures what you actually know -- not just what you can guess. Confidence calibration tracks what you know well, what you doubt, what you get wrong but thought you knew, and what you are still learning -- so you study what matters most. Progressive difficulty takes you through four exam simulation levels -- Foundation, Intermediate, Advanced, and MLA-C02 Simulation -- so you build real competence before exam day. 3,300 QUESTIONS + 252 STUDY MATERIALS - 2,000 multiple-choice practice questions across 20 categories - Multiple-response questions (select TWO or THREE of five options) -- the official MLA-C02 format - 1,300 rapid-fire true/false recall questions - 252 study materials (Study Guides, Reference Tables, Visual References, Formulas, Mnemonics, Glossary, Quick Facts, Exam Tips) - 4 domains per the MLA-C02 guide: Data Preparation for ML and AI (28%), ML Model and FM Development (24%), Deployment and Orchestration (24%), Operating, Monitoring and Securing (24%) - Deep SageMaker AI coverage plus the new GenAI scope: Bedrock (Agents, Guardrails, Knowledge Bases), RAG, vector stores, FM fine-tuning - Aligned to the official AWS Certified Machine Learning Engineer Associate (MLA-C02) exam guide 7 STUDY MODES - Daily Deploy -- 50 timed questions to build your daily streak and identify weak spots - Practice Quiz -- customizable quizzes by domain or category - MLA-C02 Practice Tests -- 65 questions, 75-130 minutes, 4 progressive levels - Smart Review -- spaced repetition targeting your weakest areas - Rapid Fire -- speed-based true/false recall training with instant feedback - Flashcards -- swipe-based review for every category - Review Mistakes -- revisit and master every question you missed EXAM READY CERTIFICATE Earn your certificate by meeting all readiness criteria -- including domain mastery, study consistency, confidence score, and passing the Level 4 practice test. It means you are genuinely prepared for exam day. STUDY ANYWHERE - 100% offline capable after first load - No account required -- all progress stored on your device - No ads, no distractions - Dark mode included FREE TO START Begin with 50 free practice questions, Review Mistakes, 25 sample Flashcards, 25 Rapid Fire questions, and one unlocked Study Guide - completely free. Upgrade to Pro to unlock all study modes and the full question bank. PRO PLANS - Weekly: $6.99/week - Monthly: $12.99/month - Lifetime: $49.99 one-time (best value - pay once, does not auto-renew) Payment will be charged to your Apple ID account at confirmation of purchase. Subscription automatically renews unless it is canceled at least 24 hours before the end of the current period. Your account will be charged for renewal within 24 hours prior to the end of the current period. You can manage and cancel your subscriptions in your Account Settings on the App Store after purchase. Terms of Use: https://meridianlabs.us/terms Privacy Policy: https://meridianlabs.us/privacy