AI/ML Mock Interview with Narendra Yadav

Practice a realistic AI/ML interview and receive personalized feedback to improve your technical knowledge, problem-solving, communication, and interview confidence.

What the mock interview covers

• Python and SQL
• Machine Learning fundamentals
• Deep Learning
• NLP and Generative AI
• LLMs and RAG
• Prompt Engineering
• Fine-tuning and embeddings
• Vector databases
• LangChain and LangGraph
• Agentic AI
• ML system design
• Model deployment and MLOps
• Real-world scenario-based questions
• Project and resume-based questions
• Follow-up questions based on your answers

After the Mock Interview

You will receive feedback on:

• Technical knowledge
• Problem-solving approach
• Answer quality
• Communication
• Areas requiring improvement
• Interview readiness