Building Agentic AI Solutions Workshop
A hands-on, one-day workshop that takes engineers from prompting AI tools to building production-grade agentic AI systems: RAG, MCP, agents, and AI security.
AIData Platform
intermediate
1 day
Overview
A hands-on workshop for engineers who know Python and want to put AI into real systems. You learn how LLMs, embeddings, RAG, MCP, and agents work, build them, and then attack them in a security module on prompt injection, RAG poisoning, and data exposure.
What you'll cover
- ▸How LLMs and embeddings work
- ▸Context engineering
- ▸Retrieval-Augmented Generation (RAG)
- ▸Model Context Protocol (MCP)
- ▸Agents and multi-step reasoning
- ▸Prompt injection, RAG poisoning, and data exposure
What you'll be able to do
- ✓Build and evaluate a RAG pipeline
- ✓Connect an AI system to tools and data with MCP
- ✓Build a multi-step agent
- ✓Spot and block prompt injection and RAG poisoning
Tags
Agentic AIRAGAI SecurityMCPWorkshop
Prerequisites
- Working knowledge of Python
Technologies
Related items
- AI Discovery Workshop
- Industrializing ML Models
Additional material
No additional material.
