RAG Mastery: Advanced Practice Tests for Generative AI
Validate your Retrieval-Augmented Generation skills. Solve real-world problems in vector databases, prompt engineering.
0
students
606 questions
content
Jul 2025
last update
$19.99
regular price
What you will learn
Validate your understanding of core Retrieval-Augmented Generation (RAG) architecture, from ingestion to generation.
Test your ability to select and implement the right vector databases (e.g., Pinecone, Chroma, FAISS) for a RAG pipeline.
Evaluate the performance of different text embedding models to optimize document retrieval.
Assess various document chunking and indexing strategies for maximum relevance and performance.
Design and troubleshoot advanced prompts specifically engineered for context-aware generation with LLMs.
Apply key evaluation metrics like faithfulness, context precision, and answer relevancy to benchmark RAG system performance.
Solve problems that test your understanding of when to use RAG versus fine-tuning.
Demonstrate your practical skills using popular RAG frameworks like LangChain and LlamaIndex.
Prepare for technical interviews by solving hands-on problems related to RAG system design and optimization.
Test your knowledge of techniques used to mitigate LLM hallucinations by grounding responses in factual data.
Analyze and improve the retrieval component of a RAG pipeline for enhanced accuracy and speed.
Gain the confidence to design, build, and deploy production-ready RAG applications.
Loading charts...
6717531
udemy ID
12/07/2025
course created date
16/07/2025
course indexed date
Bot
course submited by