AI Skills Practice Tests
Free AI skills practice tests on machine learning fundamentals, prompt engineering, LLMs, RAG, AI agents and Python for AI, with an explanation for every answer.
Each test covers one AI topic with 15 questions and an explanation for every answer. Start with the fundamentals, then work up to LLMs, retrieval-augmented generation and AI agents.
Use them to check your understanding after a course, before a certification, or as warm-up for an AI job interview.
Suggested order
1. Foundations
AI and Machine Learning Fundamentals, then Prompt Engineering. No coding needed.
2. Building blocks
Python for AI, then LLMs, Tokens and Embeddings.
3. Building AI apps
RAG, then AI Agents and Tool Use. These match what AI engineer interviews ask.
Practice Sets
AI and Machine Learning Fundamentals Practice Test
Check the core ideas behind AI and machine learning: learning types, training and testing, overfitting, and the metrics interviewers ask about.
Prompt Engineering Practice Test
Practise the prompt techniques used in real AI products: clear instructions, few-shot examples, structured output, reducing hallucinations, and prompt injection.
Python for AI Practice Test
Practise the Python you need for AI work: core syntax, data handling with NumPy and pandas, JSON, environments, async calls and safe handling of API keys.
LLMs, Tokens and Embeddings Practice Test
Test how well you understand large language models: tokens, context windows, transformers, embeddings, fine-tuning and the settings developers use every day.
RAG (Retrieval-Augmented Generation) Practice Test
Practise the building blocks of retrieval-augmented generation: chunking, embeddings, vector search, hybrid search, reranking and evaluation.
AI Agents and Tool Use Practice Test
Check your understanding of AI agents: tool calling, the agent loop, memory, multi-agent design, MCP, safety guardrails and when not to use an agent.
Frequently asked questions
Which AI skills practice test should I start with?
Start with AI and Machine Learning Fundamentals and Prompt Engineering. Then take Python for AI, and move on to LLMs, RAG and AI Agents once the basics feel easy.
Do I need to know how to code?
No for the fundamentals and prompt engineering tests. The Python, RAG and AI Agents tests assume you have written some code or followed a hands-on course.
Are these questions useful for AI job interviews?
Yes. They cover the concepts interviewers most often check for AI engineer, ML engineer and prompt engineer roles. Pair them with the AI interview questions and answers page to practise explaining each idea out loud.
Are these official certification questions?
No. These are original practice questions written for self-assessment. They are not taken from any vendor certification exam.
Next step after practice
Practice builds skill and confidence. Pair it with our guides on study abroad, global careers and AI skills to plan what comes next.