- Focuses on production-ready LlamaIndex pipelines rather than basic LLM queries.
- Covers RAG architecture, multi-agent workflows, and schema-based extraction.
- Emphasizes hands-on, real-world projects instead of theory.
- Includes monitoring, debugging, and performance evaluation of AI systems.
- Unlike general tutorials, it equips learners for enterprise-level AI deployment.
