Certification Quiz Categories
Free practice questions covering every major cloud AI/ML certification, plus core machine learning theory.
- AWS Certified Machine Learning – Specialty (MLS-C01) — SageMaker, data engineering, modelling, ML implementation & operations.
- AWS Certified Data Engineer – Associate — data pipelines, storage, security, and processing on AWS.
- Microsoft Azure AI Engineer / AI-900 — Azure AI Foundry, Cognitive Services, and responsible AI.
- Google Cloud Professional Machine Learning Engineer — Vertex AI, AutoML, and ML pipelines.
- Machine Learning Basics & Advanced — foundational and advanced ML theory quizzes.
- ML NLP – Natural Language Processing — transformers, embeddings, and language model fundamentals.
- ML OPS on AWS, Azure & GCP — deployment, monitoring, and MLOps best practices across all three clouds.
- AI Basics & AI Advanced — general artificial intelligence concepts, from beginner to advanced.
- Deep Learning & Neural Networks — architectures, training, and optimization.
- Explainable AI — interpretability and responsible AI techniques.
- Generative AI — LLMs, diffusion models, and generative architectures.
AI Tool Tutorials
Step-by-step, inline guides for the AI tools and platforms that matter most right now.
Coding Agents & IDEs
- Introduction to Claude Code — the terminal-based AI coding assistant from Anthropic.
- Getting Started with OpenAI Codex — natural language to code, plus GitHub Copilot integration.
- Cursor: The AI-First Code Editor — Cmd+K generation, codebase-wide chat, and autocomplete.
- Mastering Kiro: Spec-Driven AI Development — Markdown specs, steering files, and agent hooks.
- Build a Multi-Agent System with Google Antigravity SDK — subagents, hooks, and external tools.
- Windsurf: The Agentic IDE by Codeium — the Cascade agent flow for autonomous, multi-file coding.
- GitHub Copilot: From Autocomplete to Agent Mode — inline suggestions, Copilot Chat, and the coding agent.
- Gemini CLI: Google's Open-Source Terminal Agent — free, open-source AI agent for your terminal.
Certification & Cloud AI Skills
- Amazon Bedrock for the AWS ML Exams — foundation models, Knowledge Bases, Agents, and Guardrails.
- Azure AI Foundry: Deploying and Evaluating Models — model catalog, Prompt Flow, and Azure AI Search RAG.
- Google Vertex AI in Under 10 Minutes — Model Garden, Pipelines, Feature Store, and Model Monitoring.
- Prompt Engineering & RAG: The Core Skills — prompting patterns, structured output, and retrieval pipelines.
AI Productivity Tools
- Claude by Anthropic: Projects, Artifacts & Extended Thinking — getting the most out of Claude for research and writing.
- Perplexity: AI-Powered Research & Search — cited, up-to-date answers and Deep Research mode.
- NotebookLM: Turn Your Documents into a Study Assistant — source-grounded Q&A and Audio Overviews for exam prep.
Interactive AI Tools & Resources
- Neural Network Simulator — visualize how a neural network learns, layer by layer.
- LLM Playground Simulator — explore how large language models generate text.
- Machine Learning Cheat Sheets — free downloadable reference sheets for exam review.
- ML & AI Interview Questions and Answers — 200+ practice questions with detailed answers.
- Latest AI & Machine Learning News — daily curated news, research, and video podcasts.
- Jobs & Opportunities — featured AI/ML roles worth applying to.
- AI Unraveled Podcast — a daily AI news podcast, embedded right on the homepage.