Working with Data: Engineering, Integration, and MLOps for AI

Master advanced data engineering for AI systems through this comprehensive path. Learn data integration, API development, versioning, and quality monitoring. Then explore knowledge graphs, GraphRAG architectures, and semantic search techniques. Complete your journey with MLOps implementation for orchestrating data pipelines across the AI lifecycle, gaining essential skills to build reliable, production-grade AI applications. What you’ll learn Design data integration strategies for AI applications. Build advanced retrieval systems that enhance AI. Orchestrate end-to-end MLOps and data pipeline solutions.