AI Systems Engineering Bootcamp
Master LLMs, LangChain, RAG Architecture, AI Agents, Vector Databases, and Model Context Protocol (MCP) with hands-on production code.
Live Mentorship · Code Reviews · Deployed Portfolio Projects
What You Will Build & Deploy
- ✓ A real-time Voice AI agent (streaming STT → LLM → TTS with WebSockets)
- ✓ A Retrieval-Augmented Generation (RAG) system with vector search & grounding
- ✓ An AI Agent capable of multi-step reasoning, tool calling & database actions
- ✓ A Model Context Protocol (MCP) server to securely connect AI models to internal systems
- ✓ A deployed system with a live showcase URL to demonstrate to recruiters
Complete Bootcamp Syllabus & Engineering Modules
1. System Design for AI Architecture
Learn how enterprise products like ChatGPT, Perplexity, and Voice Assistants are structured under the hood. Understand model latency, context limits, and cost trade-offs.
2. Low-Latency Streaming & Voice Pipelines
Implement real-time streaming with WebSockets for Voice AI (STT → LLM → TTS). Reduce Time-To-First-Byte (TTFB) and optimize perceived latency.
3. Retrieval-Augmented Generation (RAG) & Vector DBs
Build document chunking pipelines, vector embeddings, and semantic search integration. Ground AI model responses with real data to prevent hallucinations.
4. AI Agents & Tool Orchestration
Design multi-step reasoning agents that can invoke functions, execute code, query databases, and handle complex workflows autonomously.
5. Model Context Protocol (MCP) Integration
Build and deploy standardized MCP servers to connect LLMs to external tools, private databases, and API services securely.
6. Production Engineering & Deployment
Containerize your AI services with Docker, set up API endpoints, monitor model drift, and deploy your live portfolio application.
Meet Your Instructor
Naureen Fathima
Systems Architect & Lead AI Engineer
"You are learning from a builder, not a creator. We bridge the gap between Data Science and Engineering so you build production-ready AI systems."
Focus: System Design for AI, Low-Latency Voice AI, RAG Pipelines, Agentic Workflows, MCP Integration, and Cloud Deployment.
Frequently Asked Questions (FAQ)
Q: Do I need to be a Data Scientist to join?
A: No. This bootcamp is designed for software developers, engineers, and tech professionals. We focus on engineering AI systems rather than complex mathematical formulas.
Q: What will I have shipped by Day 30?
A: You will have a live URL of a real-time Voice AI agent that streams audio, reasons via agents, and executes actions using MCP.
Q: What is the weekly time commitment?
A: Approximately 1 hour per day over 30 days. We provide boilerplate code for non-AI parts so you spend 100% of your time on AI architecture.