Certification Practice Quizzes
Free practice questions with the correct answers marked and explanations on most sets. Each has its own page with sample questions you can read without signing up.
Current certifications
- AWS Certified AI Practitioner — 60 questions on Amazon Bedrock, foundation models, prompt engineering & responsible AI.
- AWS Certified ML Engineer – Associate (MLA-C02) — 28 questions on data prep, model development, deployment/orchestration & monitoring, including generative AI and Bedrock agents.
- AWS Certified GenAI Developer – Professional (AIP-C01) — 15 questions on RAG, vector stores, agentic AI, Bedrock Guardrails & GenAI cost optimization.
- Azure AI Apps & Agents Developer Associate (AI-103) — 15 questions on Microsoft Foundry, RAG, agentic solutions, computer vision & information extraction.
- Google Cloud Professional Machine Learning Engineer — 77 questions on Vertex AI, ML pipelines & MLOps.
- Google Cloud Generative AI Leader — 15 questions on Gemini, Vertex AI offerings, grounding/RAG & responsible AI — no coding required.
- NVIDIA Certified Associate: Generative AI LLMs (NCA-GENL) — 15 questions on transformers, LangChain/LangGraph, Hugging Face, RAPIDS & trustworthy AI.
- Databricks Certified Generative AI Engineer Associate — 15 questions on RAG, chunking, Vector Search, MLflow, agents, guardrails & governance.
- Microsoft Azure AI Fundamentals (AI-901) — 38 questions on responsible AI, AI workloads, and building apps, agents & vision solutions with Microsoft Foundry.
- AWS Certified Data Engineer – Associate — 81 questions on pipelines, storage, security & processing.
- AWS Data Engineer – extra set — 40 further practice questions.
- GCP ML: Implementation & Operations — 22 questions on deploying and running ML on Google Cloud.
Core AI & ML theory
- Machine Learning Basics (56) · Machine Learning Advanced (43)
- AI Basics (30) · AI Advanced (30)
- Deep Learning (30) · Neural Networks (30)
- Natural Language Processing — 41 questions on transformers, embeddings & attention.
- Generative AI — 30 questions on LLMs, diffusion models & generative architectures.
- Explainable AI — 30 questions on SHAP, LIME & interpretability.
- MLOps on AWS, Azure & GCP (51) · AIOps (30)
- ML Implementation & Operations — 45 questions.
Legacy — retired exams
AWS retired Certified Machine Learning – Specialty (MLS-C01) on 31 March 2026. These sets remain useful AWS ML study material but no longer map to a bookable exam.
- AWS ML Specialty (MLS-C01) (152) · Practice Exam 2 (46)
- Data Engineering (18) · Exploratory Data Analysis (25) · Modeling (31) · Implementation & Operations (30)
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.