AI Engineering Track
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Build the Future of Intelligence

Go beyond prompt engineering. Master the architectural foundations of Transformers, architect production RAG systems, and scale machine learning infrastructure.

Engineering Specialties

Capstone 01
Project

Distributed Real-Time Fraud Engine

Architect a high-throughput fraud detection system using Spark for stream processing and Ray for distributed model training.

Distributed Training
Stream Processing
Initiate GPU Cluster
Capstone 02
Project

Autonomous Trading Agent

Develop a reinforcement learning agent using RLlib to optimize trading strategies in a simulated high-frequency market.

Reinforcement Learning
RLlib
Initiate GPU Cluster
Capstone 03
Project

Edge AI Deployment Pipeline

Quantize and optimize a complex computer vision model using ONNX and TensorRT for real-time inference on edge devices.

Model Quantization
Edge Inference
Initiate GPU Cluster

Resume Integration

Your engineering work is automatically translated into high-impact bullet points for your technical resume.

Build Your Resume