LLM Engineering (GPT, RAG): Interview Prep. & Practice Tests

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LLM Engineering (GPT, RAG): Interview Prep. & Practice Tests

About this course

This course, LLM Engineering (GPT, RAG): Interview Preparation & Practice Tests, is designed to help you master the most in-demand skills in Generative AI. Whether you are a beginner or an experienced professional, this course will guide you through the complete journey of understanding and applying Large Language Models.You will start with the fundamentals of GPT and LLMs, then move into advanced topics like prompt engineering, Retrieval-Augmented Generation (RAG), and real-world system design. The course is focused on practical learning with a strong emphasis on interview preparation and real scenarios.What you will gain from this course:Clear understanding of LLM concepts, GPT models, and how they workHands-on knowledge of prompt engineering techniquesPractical implementation of RAG for real-world applicationsInsights into building scalable and production-ready LLM systemsUnderstanding of security, bias, and ethical considerationsPractice with real interview questions and scenario-based MCQsThis course is structured into multiple stages, each focusing on key areas required for mastering LLM engineering. By the end of the course, you will have the confidence to apply your knowledge in real projects and perform well in technical interviews.If you are looking to build a strong foundation in Generative AI and advance your career, this course is the perfect starting point.

What you'll learn

  • understanding of LLM concepts
  • knowledge of GPT models
  • hands-on experience with prompt engineering techniques
  • practical implementation of RAG
  • insights into building scalable LLM systems
  • awareness of security and ethical considerations
  • practice with interview questions

Skills you'll gain

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