Generative AI: RAG, LangChain, GraphRAG & Fine-Tuning

About this course

Generative AI: RAG, LangChain, GraphRAG & Fine-Tuning is a hands-on course from Deesa Technologies for developers who want to build real Generative AI applications — not just call an API once and stop.

You’ll follow a clear path from your first LLM app through production-style patterns used in modern engineering teams: prompt design, guardrails, structured outputs, LangChain, conversation memory, RAG, GraphRAG, MCP tool integration, map-reduce summarization, and fine-tuning open-weight models with deployment to Hugging Face.

Every module includes runnable projects with a consistent structure (main, services, config, prompts, guardrails) so you learn how professionals organize Gen AI codebases.

What you’ll build

Across 11 modules, you’ll create practical applications including:

• Executive Brief Generator and Professional Report Drafter — your first Gradio LLM apps
• Prompt Playground and Temperature & Latency Lab — control model behavior, cost, and speed
• Model Scorecard and Translation Quality Report — evaluate outputs with real evaluation patterns

Output Formatter and Contract Clause Extractor — structured extraction from documentsAI SQL Assistant — LangChain, LCEL, and safe natural-language-to-SQLCustomer Support Thread Analyzer — stateless vs memory-based conversations

On-Call Runbook Assistant — RAG over production runbooks

GraphRAG Dependency Explorer — combine graphs + retrieval for relationship-aware answersMCP-powered assistants — connect LLMs to databases,

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