17 Sessions

Productionalizing Generative AI Applications

Master the complete journey from prototype to production. Learn prompt engineering, RAG systems, AI agents, multi-agent orchestration, and enterprise deployment strategies.

Live Sessions

34+

Hours of Content

15+

Tools & Frameworks

100%

Hands-On Projects

Full Curriculum

What You'll Learn

A comprehensive 17-session journey covering everything from prompt engineering to production-grade AI agent deployment.

Learning Outcomes

Design prompts for reliable, structured outputs
Build fast prototypes with clear constraints and guardrails
Compare prompt patterns for reasoning vs direct generation

Tools Used

OpenAI APIPython, JupyterPrompt templates (Markdown/JSON)

Tools & Technologies You'll Master

Industry-standard tools used by enterprise AI teams

OpenAI APILangChainLangGraphLangSmithRAGASQdrantFAISSFastAPIDockerOllamaMCP SDKGuardrails AI

Productionalizing Generative AI Applications

What You'll Learn

Prompt Engineering and Prototyping

Embeddings and Retrieval Augmented Generation (RAG)

End-to-End RAG

Production RAG with LangChain and LangSmith

Agents with LangGraph

Multi-Agent Applications with LangGraph

Synthetic Data Generation and LangSmith

Evaluating RAG with Ragas

Advanced Retrieval

Open Deep Research

OpenAI Agents SDK

Model Context Protocol (MCP)

LangGraph Platform (Deploying Agents)

Agent2Agent Protocol and Agent Ops

Production RAG and Guardrails

Deploying Open-Source Endpoints

On-Prem Agents

Tools & Technologies You'll Master