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ML, GenAI & LLM Interview Questions ( With details )
4 students

ML, GenAI & LLM Interview Questions ( With details )

Generative AI & LLM Practice Tests – GPT, LLaMA, BERT, Hugging Face, Transformers, RAG, LoRA, RLHF & More
Created byMamta Kumari
Last updated 7/2025
English

What you'll learn

  • ML Concepts and its usages in real life
  • Understand Core Concepts Behind Modern AI Models using questions
  • GenAI, LLM and Recent Advancement Technology Questions
  • Stay Updated with 100+ New Questions Every Month
  • Questions that test conceptual and practical implementation of LLM & Gen AI based solutions using PyTorch and TensorFlow Frameworks

Included in This Course

125 questions
  • Module 1: Machine Learning (ML) Overview35 questions
  • Module 2 : Linear Regression35 questions
  • Module 3 : Deep Learning & Neural Networks35 questions
  • Module 4: Deep Learning with Keras and Tensorflow (Advanced Keras Functionalities)10 questions
  • Module 5: Deep Learning with Keras and Tensorflow (Advanced CNN and data Augmentation)10 questions

Description

Our expertly designed AI , Machine Learning, GenAI, and LLM practice tests are built to help learners stay ahead in the fast-evolving field of Artificial Intelligence and Large Language Models (LLMs). Whether you're preparing for a career in AI, studying for machine learning certifications, or aiming to crack technical interviews at top tech companies, our tests offer a hands-on, industry-aligned experience.

We cover a wide range of in-demand AI topics, including LLM architectures like GPT, LLaMA, BERT, and DistilBERT, as well as CLIP, Transformer models, and the foundational Attention Mechanism. Learners gain practical understanding of LLM pretraining, fine-tuning techniques such as LoRA, and implementation using the popular Hugging Face Transformers library.

Our questions are modeled after real-world interview problems asked by leading companies in the AI and tech space. These practice tests are ideal for data scientists, ML engineers, AI developers, and technical professionals looking to upskill in the age of Generative AI.

Master cutting-edge tools, stay updated with the latest AI trends, and boost your confidence to thrive in the digital future with our Udemy courses.


Course Topics Covered:

  1. Model Architectures

  2. Hugging Face Transformers Library

  3. Model Compression Techniques

  4. LLM Model Lifecycle:

  5. Embedding Models

  6. Diffusion Models

  7. Vision-Language Models

  8. Multimodal Models

  9. Retrieval Augmented Generation (RAG) Systems:

  10. LLM Model Deployment

  11. LLM Model Evaluation Metrics

  12. Distributed LLM Model Training


Get fully prepared for Generative AI and Large Language Model (LLM) Engineer interviews with our dynamic and ever-evolving Udemy course, ML, GenAI & LLM Interview Questions ( With details). Designed for aspiring AI engineers, machine learning specialists, and data scientists, this course covers both conceptual understanding and practical implementation of LLM and Generative AI solutions.

You’ll tackle real-world interview questions that focus on applying LLM architectures using popular frameworks like PyTorch and TensorFlow, giving you the confidence to handle even the toughest technical challenges. From fine-tuning and attention mechanisms to embeddings, RAG systems, and diffusion models, each question is paired with clear explanations to strengthen your core knowledge.

Stay ahead of the curve—our course is updated every month with 100+ new interview questions, ensuring you’re always aligned with the latest trends and breakthroughs in AI and LLM technologies. Whether you're preparing for product-based companies or high-growth startups, this course is your ultimate guide to mastering the evolving Gen AI interview landscape.

Who this course is for:

  • Data Scientists
  • AI Engineers
  • Machine Learning Engineers
  • Generative AI Engineers
  • Computer Science Graduate Students
  • Python Developers