Leet Learner vs AI ML Prep

Master technical interviews with Leet Learner, your comprehensive guide to coding interview success and professional software development. CODING INTERVIEW PROBLEMS Browse an extensive collection of technical interview problems organized by: • Difficulty (Easy, Medium, Hard) • Categories (Array, String, Tree, Graph, Dynamic Programming, etc.) • Top 75, Top 150, and SQL 50 curated lists • Advanced filtering (notes, review status, confidence scores) • Smart search with instant results • Visual indicators for notes and progress Each problem includes: • Complete solution with detailed explanation • Time and space complexity analysis • Step-by-step problem solving approach • Alternative solution strategies • Personal notes with view/edit modes COMPREHENSIVE TECHNICAL REFERENCE Master the fundamentals with in-depth guides covering: SOFTWARE ENGINEERING & ARCHITECTURE • Data Structures & Algorithms • Design Patterns (Creational, Structural, Behavioral, Architectural) • Microservices & Event Driven Architecture • System Design & Scalability • API Design & GraphQL • Message Queues & Kafka • Application Security • Software Principles & Best Practices LANGUAGES & FRAMEWORKS • Python, SQL, TypeScript, Shell, Java, Go • React, React Native, Next.js, Node.js • PySpark, Spark SQL, FastAPI, LangChain DATA ENGINEERING & DATABASES • AWS, Azure, GCP, Databricks, Snowflake • PostgreSQL, SQL Server, MongoDB, Redis • Data Engineering Patterns & ETL • Data Modeling & Warehousing • Delta Lake & Data Visualization CLOUD & INFRASTRUCTURE • Cloud-Native Architecture • Kubernetes & Container Orchestration • Docker & Terraform • Platform Engineering • CI/CD Pipelines & GitHub Actions • Git Workflows & Observability • Testing Strategies AI & MACHINE LEARNING • LLM Applications & Prompt Engineering • RAG Pipelines & Vector Databases • MLOps & Model Deployment • Agentic Automation & AI Workflows • Claude & AI Coding • Model Context Protocol (MCP) All guides feature code examples, best practices, quick reference tables, architectural diagrams, and patterns used in modern software systems. TRACK YOUR PROGRESS Stay motivated with powerful progress tracking: • Mark problems as reviewed with checkmark indicators • Rate your confidence (1-10 scale) with color-coded badges • Add personal notes with dedicated view/edit modes • Visual indicators showing which problems have notes • Filter by review status, confidence level, or note presence • Track completion by category and difficulty INTERACTIVE QUIZ MODE Smart, customizable quizzes: • Filter by difficulty level (Easy, Medium, Hard) • Select specific categories (Array, Tree, Graph, etc.) • Filter by confidence score ranges (low, medium, high) • Filter by review status (reviewed/not reviewed) • Filter by note presence (with notes/without notes) • Weighted random selection prioritizes weaker areas • Review detailed explanations after each problem CLEAN, FOCUSED DESIGN Easy learning environment: • Dark mode optimized for reading code • Syntax highlighted code examples • Smooth navigation and search • Responsive layout • Optimized for speed STUDY SMARTER • Reference design patterns and software architecture principles • Implement microservices and event driven systems • Design scalable cloud-native applications • Learn modern cloud platforms (AWS, Azure, GCP) and Kubernetes • Build data pipelines with Databricks, Snowflake, and Delta Lake • Develop with React, Next.js, Node.js, and FastAPI • Adopt DevOps practices and platform engineering • Explore AI/ML applications, LLMs, and RAG pipelines • Prepare systematically for technical interviews • Develop professional software engineering skills Start your journey to interview success and technical mastery today!

Ace your AI and Machine Learning system design interviews with 226 questions used at top tech companies, including Google, Meta, Amazon, and more. Each question includes a structured expert answer, skill tags, and a 5-dimension rubric so you know exactly what interviewers look for: - Problem Framing - Technical Depth - System Thinking - Communication - Tradeoff Awareness Domains covered: - Recommendation Systems - NLP, LLMs, and Generative AI - Search and Ranking - Computer Vision - MLOps and Infrastructure - Fraud and Anomaly Detection - Ads and Click Prediction - Reinforcement Learning and Decision Systems - AI Agents and Content Safety How it works: 1. Get a daily question and build your streak 2. Think through your answer, then tap to reveal the expert answer 3. Record your answer with voice and score yourself on each rubric dimension 4. Mark questions as mastered as you improve Mock Interviews (Pro): Simulate a real ML system design interview with: - Quick Fire (15 minutes) - Standard Round (45 minutes) - Full Loop (90 minutes) You can focus on a specific domain or choose a random mix. Free tier: The first 4 easy questions in each domain are free. No time limit and no account required. Pro subscription: Unlock all 226 questions across all difficulty levels, plus: - Mock interviews - Company-specific filters - Voice practice recording Monthly and yearly plans are available. Built for ML engineers, data scientists, AI/LLM engineers, and computer science students preparing for FAANG and AI-first companies. Privacy Policy: https://lemon-tea-ai.github.io/aiml-interview-prep-legal/privacy/ Terms and Conditions: https://lemon-tea-ai.github.io/aiml-interview-prep-legal/terms/