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Tutorial

Generative AI Engineering

Build production GenAI apps — RAG pipelines, agents, embeddings, vector databases, fine-tuning, guardrails, and LLM observability.

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24 Topics

What is Generative AI Engineering?

Streaming Responses

Vector Databases

Building a RAG Pipeline

Advanced RAG Techniques

LangChain Fundamentals

Tool Use and Function Calling

Conversation Memory

LLM Cost Optimisation

Guardrails and Safety

Structured Output

Building a Production Chatbot

Fine-Tuning LLMs

Hallucination Prevention

LLM Observability

Chunking for RAG

LangGraph for Agent Workflows

Semantic Caching

Multi-Agent Systems

Deploying LLM Applications

GenAI Engineering Interview Prep