GenAI Integration

The Challenge

Generating useful, production-ready AI isn't as simple as chatting with an LLM. Integrating AI introduces unique challenges like data privacy, hallucination mitigation, orchestration of complex reasoning, and maintaining the model over its lifecycle.

What You Will Learn

This course bridges the gap between experimenting with Large Language Models (LLMs) and deploying them in real-world applications. Participants will move beyond basic chat interfaces to learn how to connect GenAI models to proprietary data, orchestrate complex reasoning tasks, and manage the unique challenges of AI in production. The training covers the full lifecycle of GenAI integration, including prompt engineering, Retrieval-Augmented Generation (RAG), tool calling/agents, and LLMOps.

Who Is This For?

Software Engineers, Data Scientists, and Tech Leaders aiming to build and operate robust GenAI solutions in production environments.