AI Systems Design: RAG Pipelines and LLM Architecture
Completed by Oleksandra Dombrovska
April 28, 2026
17 hours (approximately)
Oleksandra Dombrovska's account is verified. Coursera certifies their successful completion of AI Systems Design: RAG Pipelines and LLM Architecture
What you will learn
Build end-to-end RAG pipelines using LangChain, ChromaDB, and embedding models
Design data strategies including chunking, embedding selection, and retrieval optimization
Create interactive AI prototypes with Streamlit for real-world business applications
Apply decision frameworks to classify AI problems and evaluate build vs buy trade-offs
Skills you will gain
- Category: Fine-tuning
- Category: Retrieval-Augmented Generation
- Category: Generative AI
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: LLM Application
- Category: AI Orchestration
- Category: Embeddings
- Category: Data Preprocessing
- Category: Systems Architecture
- Category: Vector Databases
- Category: Unstructured Data
- Category: User Interface (UI)
