Build production-grade enterprise applications throughout the program and gain real-world experience deploying AI systems at scale.
Build an AI-powered customer support assistant capable of handling enterprise conversations using LLMs, RAG, authentication, and production APIs.
Create an intelligent document processing system capable of searching, summarizing, and answering questions across thousands of enterprise documents.
Develop a production-ready Retrieval-Augmented Generation system with vector databases, hybrid search, metadata filtering, and hallucination reduction techniques.
Build autonomous AI agents capable of planning, researching, reasoning, and collaborating using LangGraph, CrewAI, and OpenAI Agents SDK.
Design an AI assistant that converts natural language into SQL queries, retrieves business insights, and generates executive dashboards.
Deploy enterprise AI applications using Docker, CI/CD pipelines, cloud infrastructure, monitoring, logging, and observability tools.
Build scalable data pipelines using Databricks, PySpark, Delta Lake, and Lakehouse architecture for enterprise AI workflows.
Design, build, deploy, monitor, and present a complete enterprise AI solution solving a real business problem from client discovery to production deployment.
