Production-Grade AI Engineering Curriculum

A deep dive from Python fundamentals through advanced LLM engineering, agentic workflows, and cloud deployment, preparing you for real-world AI roles.

Mastering the AI Engineering Stack

Module 1: Python & AI Foundations

Build a robust base with Python, prompt engineering, OpenAI APIs, and structured outputs. Understand LLMs and function calling for intelligent agent design.

Module 2: LLM Engineering & RAG

Dive into embeddings, vector databases, and Retrieval Augmented Generation (RAG). Implement LangChain for advanced LLM applications and semantic search.

Module 3: AI Agents & Automation

Engineer sophisticated AI agents using Claude, MCP, and n8n for workflow automation. Develop multi-agent systems with LangGraph for complex tasks.

Module 4: Production Deployment

Master Docker for containerization, FastAPI for API development, and CI/CD pipelines for seamless deployment. Learn evaluation metrics and multimodal AI integration.

Curriculum FAQs

How long is the course?

Do I need coding experience?

Is an internship included?

The intensive AI Engineering program spans 4 months, culminating in a 4-6 week internship.

Yes, a strong foundation in Python is required. We build on these fundamentals to develop production-ready AI systems.

Absolutely. Every student participates in a 4-6 week internship to apply their skills in a real-world setting.

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Ready to Engineer Your Future?

Join our next cohort and build production-ready AI systems that companies actually hire for.