PROJECT · Advanced
Competitive Catalog Intelligence Agent
Match a retailer’s product catalog to competitor products using normalized attributes, embedding retrieval, vector search, evidence-grounded decisions, and review-ready price intelligence.
Before you start
These courses cover the foundations you’ll use.
- Software Engineering for AI Applications
- RAG and Retrieval Systems
- Agents and Tool Use
- Operating LLM Systems in Production
Already comfortable with these topics? Go straight to the project.
You’re ready when you can…
- Normalize messy product attributes without erasing meaningful variants.
- Use embeddings and metadata filters to retrieve candidates.
- Evaluate candidate recall separately from final matching precision.
Prerequisites are recommendations, not requirements.