Library / Artificial Intelligence

Generative AI(Google & Open AI) Interview: AI Agents

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About this course

Crack Your Generative AI & LLM Interviews with Confidence!

Generative AI is rapidly transforming the technology industry, and companies are looking for professionals who can understand, build, and explain modern AI systems. But knowing GenAI is only half the challenge—you also need to confidently answer technical interview questions and explain real-world architectures.

Generative AI Interview Prep: LLMs, RAG, Prompt Engineering & AI Agents is designed to help you prepare for Generative AI, LLM, Machine Learning, and AI Engineer interviews through practical concepts, interview questions, real-world scenarios, and hands-on preparation. What You'll Learn

Throughout this course, you'll prepare for questions and discussions around:

  • Generative AI fundamentals and key concepts
  • Large Language Models (LLMs) and how they work
  • Transformers, attention mechanisms, and tokenization
  • Prompt Engineering and advanced prompting techniques

Embeddings and Vector Databases

Retrieval-Augmented Generation (RAG)RAG architecture, retrieval, chunking, and evaluation

Fine-tuning and adapting LLMsAI Agents and agentic AI architecturesLLM APIs and practical GenAI workflows

GenAI application architecture and system design

Model evaluation, hallucinations, and responsible AIReal-world scenario-based interview questions

Technical, conceptual, and advanced interview questions

How to explain your GenAI projects during interviews

Prepare for Real Interview Questions

This course goes beyond memorizing definitions.

You'll learn how to think through interview questions, structure your answers, explain technical decisions, and discuss real-world GenAI solutions like an AI engineer.

You'll encounter questions covering different difficulty levels—from beginner fundamentals to advanced technical and system-design discussions.

Who Is This Course For?

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